# Best Data Governance Tools *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Data governance software helps organizations manage and control their data assets by establishing policies, standards, and accountability measures that ensure data availability, usability, and integrity across the data lifecycle. These platforms assist with metadata management, data classification, and lineage tracking, enabling users to understand the origin, context, and relationships of their data. ### Core Capabilities of Data Governance Software To qualify for inclusion in the Data Governance category, a product must: - Aid in outlining and implementing governance strategies - Facilitate data lifecycle management using data access permissions, authentication, and authorization - Allow the enforcement of standards and compliance requirements - Provide recommendations to improve governance processes - Provide lineage capabilities to track data origin, transformation, and movement ### Common Use Cases for Data Governance Software Organizations use data governance tools to meet regulatory standards and improve data quality across the business. Common use cases include: - Enforcing data compliance and security policies - Cataloging and discovering relevant data sources across the organization - Improving employee efficiency through data quality control guidelines ### How Data Governance Software Differs from Other Tools While some [master data management (MDM) software](https://www.g2.com/categories/master-data-management-mdm) and [data quality software](https://www.g2.com/categories/data-quality) include governance features, they are not dedicated to that purpose. Data governance tools are purpose-built to enforce compliance requirements, manage data access permissions, and provide lineage capabilities at an organizational level. ### Insights from G2 on Data Governance Software Based on category trends on G2, data lineage tracking and policy enforcement stand out as the most valued capabilities. Compliance readiness stands out as a primary driver of adoption. ## Top Data Governance Tools at a Glance | # | Product | Rating | Best For | What Users Say | |---|---------|--------|----------|----------------| | 1 | [Databricks](https://www.g2.com/products/databricks/reviews) | 4.6/5.0 (1,317 reviews) | Unified lakehouse governance with lineage-tracked access control | "[Premium Notebook Experience That Unifies ML and Data Engineering](https://www.g2.com/survey_responses/databricks-review-13086971)" | | 2 | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5.0 (707 reviews) | Centralized data governance with compute-storage separation | "[Snowflake Simplifies Data Management at Scale](https://www.g2.com/survey_responses/snowflake-review-12898129)" | | 3 | [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) | 4.4/5.0 (159 reviews) | Federated data governance across hybrid lakehouse environments | "[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)" | | 4 | [Egnyte](https://www.g2.com/products/egnyte/reviews) | 4.4/5.0 (1,136 reviews) | Hybrid cloud file governance with granular access controls | "[Secure, Seamless File Sharing with Strong Collaboration and Governance](https://www.g2.com/survey_responses/egnyte-review-13088921)" | | 5 | [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews) | 4.3/5.0 (73 reviews) | AI model compliance and lifecycle governance | "[Strong AI Governance Across the Full Lifecycle with Clear Visibility and Control](https://www.g2.com/survey_responses/ibm-watsonx-governance-review-12763388)" | | 6 | [Domo](https://www.g2.com/products/domo/reviews) | 4.3/5.0 (1,015 reviews) | Governed self-serve analytics across multi-source data | "[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)" | | 7 | [Salesforce Data 360 (formerly Data Cloud)](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews) | 4.3/5.0 (294 reviews) | Salesforce-native unified customer profile governance | "[Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights](https://www.g2.com/survey_responses/salesforce-data-360-formerly-data-cloud-review-12838009)" | | 8 | [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews) | 4.4/5.0 (242 reviews) | SAP-native master data governance with workflow-enforced quality | "[Effortless Master Data Management, Some Integration Hurdles](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12805197)" | | 9 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (766 reviews) | End-to-end model governance with regulatory defensibility | "[Valuable, Data-Driven Insights That Keep Getting Better](https://www.g2.com/survey_responses/sas-viya-review-13100729)" | | 10 | [Varonis Data Security Platform](https://www.g2.com/products/varonis-data-security-platform/reviews) | 4.6/5.0 (88 reviews) | Sensitive data discovery with automated access remediation | "[The best experience with Varonis Data Security Platform](https://www.g2.com/survey_responses/varonis-data-security-platform-review-8137807)" | --- ## What Are the Most Common Questions About Data Governance Tools? *AI-generated · Last updated: May 26, 2026* ### Which data governance software integrates with BI tools? Based on G2 reviews, several products in this category are described as integrating well with BI and reporting environments. According to verified users, Databricks is often used to publish governed data to tools like ThoughtSpot, Jasper, Sisense, and Power BI while keeping lineage and access controls centralized through Unity Catalog. G2 reviewers also mention Snowflake working smoothly with BI workloads and tools such as Looker, Tableau, and Power BI, especially for reporting and shared analytics. In broader data governance workflows, users also describe platforms like Alation and erwin Data Intelligence as helping teams discover, document, and trust the data that feeds downstream BI assets. ### Which data governance platform is easiest to implement? Based on G2 reviews, Databricks stands out most often for relatively smooth setup in data governance use cases. According to verified users, teams were able to get clusters, notebooks, and cloud connections running quickly, while governance features such as Unity Catalog and access management were introduced as part of a broader unified platform. G2 reviewers mention that onboarding was supported by documentation, training resources, and integrations with existing cloud tooling, which helped reduce friction. That said, reviewers also note that more advanced governance configurations, cost controls, and troubleshooting still require expertise, so easiest to implement does not mean simple in every enterprise environment. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used to unify governance, lineage, and permissions with relatively smooth initial setup - [Snowflake](https://www.g2.com/products/snowflake/reviews) – praised for straightforward setup and secure governance features for centralized analytics data - [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) – used to unify data access and governance, though setup benefits from planning and guidance ### Best software for tracking data lineage and ownership? Based on G2 reviews, buyers most often describe lineage and ownership visibility as a core strength of several data governance tools. G2 reviewers mention Databricks frequently for Unity Catalog, where teams use centralized lineage, permissions, and catalog structures to understand where data comes from and who should access it. According to verified users, Alation, Atlan, and erwin Data Intelligence are also valued for helping teams trace lineage, document assets, and improve trust in shared data. Reviewers consistently tie these capabilities to faster troubleshooting, easier audits, and clearer accountability across analytics, engineering, and governance teams rather than just documentation alone. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – helps teams track lineage and permissions centrally through Unity Catalog - [Atlan](https://www.g2.com/products/atlan/reviews) – used for data discovery, ownership, and lineage across enterprise data assets - [Quest erwin Data Intelligence](https://www.g2.com/products/quest-erwin-data-intelligence/reviews) – supports lineage mapping, metadata visibility, and centralized governance workflows ### Best tools for multi-department data governance collaboration? Based on G2 reviews, collaboration is a recurring theme in how buyers evaluate data governance tools. According to verified users, Databricks is often used as a shared environment where engineering, analytics, and business teams work in one governed platform with notebooks, catalogs, and access controls in the same place. G2 reviewers also mention Domo for giving decision makers self-service access while enabling central teams to maintain governance and standards. In metadata-focused use cases, Alation and Atlan are praised for helping business and technical users collaborate around shared definitions, lineage, ownership, and trusted discovery, which reduces back-and-forth between departments. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – supports cross-functional collaboration with shared notebooks, catalogs, and governed workflows - [Domo](https://www.g2.com/products/domo/reviews) – helps central analytics teams govern data while enabling self-service for business users - [Alation](https://www.g2.com/products/alation/reviews) – connects technical metadata, glossary content, and stewardship for cross-team governance work ### Which platform offers AI-driven data governance recommendations? Based on G2 reviews, AI-assisted governance appears most often in platforms that combine cataloging or data intelligence with guided workflows. According to verified users, Databricks includes assistant and Genie features that help users explore governed data, generate SQL, and support debugging in governed environments, though reviewers note AI consistency can vary on complex logic. G2 reviewers also mention tools like Select Star, Alation, and Securiti for AI-powered discovery, metadata assistance, or governance-related automation. In practice, buyers describe these capabilities as useful for accelerating data discovery, documentation, and policy-related work, but they still rely on human review for trust and governance decisions. ### Top tools for ensuring data quality and compliance? Based on G2 reviews, buyers frequently connect data quality and compliance outcomes to platforms that centralize governance, lineage, and policy enforcement. G2 reviewers mention Databricks for combining governance, quality controls, and centralized access through Unity Catalog and Delta capabilities, especially in regulated workflows. According to verified users, IBM watsonx.data is used to unify governed access and support audit and compliance needs, while Snowflake is often praised for straightforward governance, role management, and secure data organization. Reviewers also highlight specialized platforms such as Securiti and Ground Labs Enterprise Recon for sensitive data discovery, compliance support, and privacy-focused governance operations. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – supports governed data quality, lineage, and controlled access in unified data workflows - [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) – used to centralize governed access and improve auditability across hybrid data environments - [Snowflake](https://www.g2.com/products/snowflake/reviews) – helps teams manage secure roles, governance controls, and trusted shared reporting data ### Top-rated data governance platforms for regulated industries? Based on G2 reviews, regulated-industry buyers consistently emphasize governance, auditability, access control, and compliance workflows. According to verified users, Databricks is used in healthcare, banking, and other regulated environments for centralized lineage, permissions, and governed lakehouse architectures. G2 reviewers also mention IBM watsonx.data for stronger governance and visibility in regulated and hybrid environments, and Snowflake for straightforward security controls, role management, and centralized reporting data. Egnyte is frequently associated with secure file governance and compliance-sensitive collaboration, especially where controlled sharing and audit trails matter. Across reviews, the strongest signals focus on governance consistency, visibility, and secure handling of sensitive data. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – used in regulated environments for governed lakehouse workflows, lineage, and access control - [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) – supports governed analytics and visibility for compliance-focused hybrid data programs - [Egnyte](https://www.g2.com/products/egnyte/reviews) – helps teams manage sensitive files with governance controls, compliance support, and auditability ### Which is the best data governance platform for enterprises? Based on G2 reviews, Databricks appears most frequently as the strongest enterprise fit in this dataset because reviewers consistently describe it as a unified environment for governance, analytics, engineering, and AI. According to verified users, enterprise teams rely on Unity Catalog for permissions, lineage, metadata visibility, and standardized governance across large, multi-team environments. G2 reviewers mention that it helps reduce tool sprawl by bringing pipelines, analytics, and governance together, while also supporting onboarding, documentation, and broad collaboration. Reviewers do note tradeoffs around cost management, learning curve, and scaling workspace organization, but the overall enterprise governance signal is the strongest among the most-reviewed products here. ### Top tools for managing metadata in enterprise systems? Based on G2 reviews, metadata management is most often associated with tools that centralize catalogs, lineage, and shared definitions across systems. According to verified users, Atlan is valued for metadata management, catalog creation, and making enterprise data easier to discover and understand. G2 reviewers also mention Alation for connecting metadata, glossary content, and search in one environment, while erwin Data Intelligence is repeatedly described as useful for metadata harvesting, lineage mapping, and centralized visibility. Databricks also appears in metadata-heavy use cases through Unity Catalog, where teams manage access, metadata, and lineage together instead of relying on disconnected tools. **Here are some of the top-rated products on G2:** - [Atlan](https://www.g2.com/products/atlan/reviews) – helps teams manage metadata, catalogs, and semantic context across enterprise data assets - [Alation](https://www.g2.com/products/alation/reviews) – supports metadata search, glossary management, and trusted data discovery for enterprise users - [Quest erwin Data Intelligence](https://www.g2.com/products/quest-erwin-data-intelligence/reviews) – automates metadata harvesting and lineage visibility across multiple enterprise systems ### Best platforms for centralized data governance policies? Based on G2 reviews, centralized policy management is a common requirement for buyers trying to reduce fragmented governance practices. G2 reviewers mention Databricks for giving teams one governed environment where permissions, lineage, and standards can be applied centrally through Unity Catalog. According to verified users, IBM watsonx.governance is valued for structured policy management, model governance, and compliance-related workflows, especially where oversight and documentation matter. Privacera Data Security Platform is also highlighted for centralized policy authoring and attribute-based access control. Across these reviews, the clearest pattern is that buyers value tools that turn governance rules into repeatable controls rather than relying on manual coordination alone. **Here are some of the top-rated products on G2:** - [Databricks](https://www.g2.com/products/databricks/reviews) – centralizes permissions, lineage, and governance controls within one unified platform - [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews) – supports structured policy workflows, monitoring, and centralized governance oversight - [Privacera Data Security Platform](https://www.g2.com/products/privacera-data-security-platform/reviews) – enables centralized policy authoring and access control across sensitive data environments ## G2 Grid® for Data Governance Tools ![G2 Grid® for Data Governance Tools plotting products by satisfaction and market presence](https://www.g2.com/categories/data-governance-tools/grids.png?focus%5B%5D=10470&focus%5B%5D=10938&focus%5B%5D=1308796&focus%5B%5D=2083&focus%5B%5D=1308797&focus%5B%5D=604&focus%5B%5D=1173013&focus%5B%5D=29430) Highlighted products: Databricks, Snowflake, IBM watsonx.data, Egnyte, IBM watsonx.governance, Domo, Salesforce Data 360 (formerly Data Cloud), and SAP Master Data Governance (MDG). Underlying data: [Grid® JSON](https://www.g2.com/categories/data-governance-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=snowflake&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=egnyte&focus%5B%5D=ibm-watsonx-governance&focus%5B%5D=domo&focus%5B%5D=salesforce-data-360-formerly-data-cloud&focus%5B%5D=sap-master-data-governance-mdg) ## How Many Data Governance Tools Products Does G2 Track? **Total Products under this Category:** 214 ### Category Stats (Jul 2026) - **Average Rating**: 4.44/5 The average rating of products in this category, based on all submitted ratings - **Top Trending Product**: Data Quality Navigator (+2.93%) - Among all products in this category, Data Quality Navigator recorded the largest rating increase compared to last month *Last updated: July 14, 2026* ## How Does G2 Rank Data Governance Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 12,000+ Authentic Reviews - 214+ Products - Unbiased Rankings G2's software rankings are built on verified user reviews, rigorous moderation, and a consistent research methodology maintained by a team of analysts and data experts. Each product is measured using the same transparent criteria, with no paid placement or vendor influence. While reviews reflect real user experiences, which can be subjective, they offer valuable insight into how software performs in the hands of professionals. Together, these inputs power the G2 Score, a standardized way to compare tools within every category. ## Which Data Governance Tools Is Best for Your Use Case? - **Leader:** [Databricks](https://www.g2.com/products/databricks/reviews) - **Highest Performer:** [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews) - **Easiest to Use:** [Egnyte](https://www.g2.com/products/egnyte/reviews) - **Top Trending:** [Snowflake](https://www.g2.com/products/snowflake/reviews) - **Best Free Software:** [Domo](https://www.g2.com/products/domo/reviews) --- **Sponsored** ### Huwise Huwise is a SaaS data product marketplace developed by a French company based in Paris, with over 15 years of experience. Recognized as a leading European player in data marketplace solutions by independent analyst firms, Huwise powers more than 3,000 data marketplaces across 25 countries. The platform is widely adopted across key industries including Banking & Insurance, Utilities and Energy, Transportation, Retail, Manufacturing and Central & Local Government. Huwise is a leading data product marketplace designed to transform raw data into AI-ready, business-ready data products. Unlike traditional data catalogs that primarily focus on metadata management and data discovery, Huwise actively drives data usage across organizations by converting data into actionable products. The platform is designed for business users, data product owners, data teams, and AI agents, providing a self-service, e-commerce-like experience that makes data more accessible, understandable, and usable across the organization. By enabling secure, governed, and scalable access to trusted data products, Huwise helps Chief Data Officers (CDOs) and Chief Data & AI Officers (CDAIOs) accelerate their data governance strategy, increase data adoption, and maximize the business impact of data and AI initiatives. Targeted at organizations seeking to enhance their data utilization, Huwise stands apart from conventional data platforms such as data lakes and cloud data warehouses. While these technologies are primarily focused on storing and processing large volumes of raw data, Huwise operates on top of the data stack to activate and distribute data. It ensures that data is not only understandable but also governed and directly usable throughout the organization. By complementing existing data catalog solutions, Huwise offers a business-facing access layer that integrates with raw, curated and certified data products, leveraging existing metadata and governance frameworks. The platform is built on data product principles, enabling organizations to publish and manage trusted, ready-to-use data products. Huwise facilitates self-service access to data without the need for technical expertise, ensuring that governance, security, and traceability are maintained across all data usage. Furthermore, it promotes data adoption through collaboration, feedback, and usage analytics, which are essential for driving engagement and maximizing the value of data within the organization. Huwise accelerates AI and analytics use cases by providing high-quality, contextualized data that enhances decision-making processes. Huwise also plays a crucial role in modern data architectures by supporting both the semantic layer and the emerging context layer. The semantic layer standardizes data definitions into business-friendly terms, while the context layer enriches this foundation with usage intelligence, lineage, governance, and real business interactions. This dual-layer approach enables both humans and AI to interpret and trust data accurately, reducing risks associated with misinterpretation or bias. As organizations increasingly adopt data mesh, data product strategies, and AI-driven operations, Huwise offers a modern approach for data sharing that is dedicated to drive data value and enhance business performance. It offers a data marketplace platform that not only organizes data but also activates it to deliver measurable business value. For companies aiming to maximize the potential of their data ecosystem, Huwise provides a future-proof, interoperable layer that bridges storage, governance, and consumption, ultimately accelerating data adoption and AI success at scale. [Visit website](https://www.g2.com/external_clickthroughs/record?secure%5Bad_program%5D=ppc&secure%5Bad_slot%5D=category_product_list&secure%5Bcategory_id%5D=1661&secure%5Bchosen_at%5D=2026-07-14T23%3A50%3A11Z&secure%5Bdisplayable_resource_id%5D=1661&secure%5Bdisplayable_resource_type%5D=Category&secure%5Bmedium%5D=sponsored&secure%5Bplacement_reason%5D=page_category&secure%5Bplacement_resource_ids%5D%5B%5D=1661&secure%5Bprioritized%5D=false&secure%5Bproduct_id%5D=82788&secure%5Bresource_id%5D=1661&secure%5Bresource_type%5D=Category&secure%5Bsource_type%5D=category_page&secure%5Bsource_url%5D=https%3A%2F%2Fwww.g2.com%2Fcategories%2Fdata-governance-tools%3Fpage%3D5%26source%3Dsearch&secure%5Btoken%5D=5a06b5718a57ff67b36e5deef333fd6785f950a126429d1c70a24c753734554b&secure%5Burl%5D=https%3A%2F%2Fwww.huwise.com%2F&secure%5Burl_type%5D=company_website) --- ## What Are the Top-Rated Data Governance Tools Products in 2026? ### 1. [Databricks](https://www.g2.com/products/databricks/reviews) Databricks is a software designed to help organizations build, govern, and scale data pipelines, analytics, machine learning, AI applications, and agents. The software provides data engineering, analytics, governance, and AI development capabilities by leveraging an open lakehouse architecture built on Apache Spark, Delta Lake, MLflow, and Unity Catalog. It automates batch, streaming, and real-time data pipeline management and reduces data silos across teams, clouds, and workloads. Databricks addresses enterprise data and AI challenges by unifying structured and unstructured data processing, model development, and governed AI agent creation in a single platform. The software supports use cases including customer personalization, fraud detection, predictive maintenance, financial risk management, and supply chain optimization across AWS, Azure, and Google Cloud. **Average Rating:** 4.6/5.0 **Total Reviews:** 1,317 **How Do G2 Users Rate Databricks?** - **Roles Management:** 8.9/10 (Category avg: 8.8/10) - **Data Discovery:** 8.7/10 (Category avg: 8.7/10) - **Compliance Management:** 8.8/10 (Category avg: 8.9/10) - **Ease of Use:** 8.8/10 (Category avg: 8.7/10) **Who Is the Company Behind Databricks?** - **Seller:** [Databricks Inc.](https://www.g2.com/sellers/databricks-inc) - **Company Website:** https://databricks.com - **Year Founded:** 2013 - **HQ Location:** San Francisco, CA - **Twitter:** @databricks (92,269 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3477522/ (15,627 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 48% Enterprise, 38% Mid-Market #### What Are Databricks's Pros and Cons? **Pros:** - Features (192 reviews) - Ease of Use (155 reviews) - Integrations (141 reviews) - Collaboration (114 reviews) - Analytics (113 reviews) **Cons:** - Learning Curve (78 reviews) - Expensive (71 reviews) - Steep Learning Curve (64 reviews) - Complexity (45 reviews) - Complex Setup (35 reviews) ### What Do G2 Reviewers Say About Databricks? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use and comprehensive features** of Databricks, enhancing their data processing and machine learning tasks. - Users commend the **ease of use** of Databricks, enhancing their experience with efficient data management and integration. - Users value the **seamless integrations** of Databricks with AWS and various tools, enhancing their organizational capabilities. - Users value the **seamless collaboration** capabilities of Databricks, enhancing teamwork on data projects and insights sharing. - Users appreciate the **wide array of integrated analytical features** in Databricks, enhancing collaborative data insights and performance. **Cons:** - Users face a steep **learning curve** with Databricks due to its complex permissions and compute modes. - Users find the **costs of Databricks to be high** , especially when working with large datasets. - Users find the **steep learning curve** of Databricks challenging, particularly for newcomers to big data tools. - Users find the **complexity** of Databricks challenging, particularly during initial setup and with advanced features. - Users find the **complex setup** of Databricks challenging initially, but support helps in overcoming hurdles quickly. #### What Are Recent G2 Reviews of Databricks? **"[Premium Notebook Experience That Unifies ML and Data Engineering](https://www.g2.com/survey_responses/databricks-review-13086971)"** **Rating:** 5.0/5.0 stars *— Rachit S.* [Read full review](https://www.g2.com/survey_responses/databricks-review-13086971) --- **"[Helpful for Managing and Analyzing Operational Data](https://www.g2.com/survey_responses/databricks-review-13090803)"** **Rating:** 4.5/5.0 stars *— Vishaka C.* [Read full review](https://www.g2.com/survey_responses/databricks-review-13090803) --- #### What Are G2 Users Discussing About Databricks? - [What does Databricks software do?](https://www.g2.com/discussions/what-does-databricks-software-do) - 3 comments - [What is Databricks unified analytics platform?](https://www.g2.com/discussions/what-is-databricks-unified-analytics-platform) - 3 comments - [What is Lakehouse in Databricks?](https://www.g2.com/discussions/what-is-lakehouse-in-databricks) - 4 comments, 2 upvotes - [What are the features of Databricks?](https://www.g2.com/discussions/what-are-the-features-of-databricks) - 4 comments, 2 upvotes ### 2. [Snowflake](https://www.g2.com/products/snowflake/reviews) Snowflake (NYSE: SNOW) is a software designed to make enterprise AI easy, efficient, and trusted for organizations of all sizes. The software provides data sharing, application development, and AI-powered analytics capabilities by leveraging a cloud-native AI Data Cloud architecture. It automates data access and sharing workflows and reduces friction in cross-organizational data collaboration. Snowflake addresses enterprise AI adoption challenges by providing a unified platform where companies can store, process, and activate data at scale. The software supports use cases including business intelligence, data application development, and AI-driven decision-making for thousands of companies worldwide. **Average Rating:** 4.5/5.0 **Total Reviews:** 707 **How Do G2 Users Rate Snowflake?** - **Roles Management:** 10.0/10 (Category avg: 8.8/10) - **Data Discovery:** 10.0/10 (Category avg: 8.7/10) - **Compliance Management:** 8.9/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Snowflake?** - **Seller:** [Snowflake, Inc.](https://www.g2.com/sellers/snowflake-inc) - **Company Website:** https://www.snowflake.com - **Year Founded:** 2012 - **HQ Location:** San Mateo, CA - **Twitter:** @SnowflakeDB (278 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/snowflake-computing/ (11,308 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Data Analyst - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 45% Mid-Market, 43% Enterprise #### What Are Snowflake's Pros and Cons? **Pros:** - Ease of Use (183 reviews) - Features (118 reviews) - Data Management (108 reviews) - Scalability (99 reviews) - Performance (90 reviews) **Cons:** - Expensive (91 reviews) - Feature Limitations (54 reviews) - Learning Curve (45 reviews) - Cost (44 reviews) - Cost Management (44 reviews) ### What Do G2 Reviewers Say About Snowflake? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Snowflake, making data sharing and analytics fast and straightforward. - Users enjoy the **reliable features and user-friendly interface** of Snowflake, enhancing their data analytics experience. - Users value the **easy-to-use data management** features of Snowflake, enhancing efficiency in warehousing projects. - Users value the **seamless scalability** of Snowflake, enabling smooth handling of complex queries and varying workloads effortlessly. - Users value the **fast data analysis and processing** capabilities of Snowflake, enhancing productivity without infrastructure concerns. **Cons:** - Users note that Snowflake can be **expensive** , especially for small businesses or those on a tight budget. - Users find **feature limitations** in Snowflake, such as inability to run multiple SQL statements efficiently and restrictive permissions. - Users find the **learning curve steep** for Snowflake, requiring training for inexperienced team members to adjust. - Users note that **cost control is challenging** with Snowflake; without discipline, expenses can escalate unexpectedly. - Users find **cost management challenging** with Snowflake, reporting higher initial costs and complexity in optimizing expenses. #### What Are Recent G2 Reviews of Snowflake? **"[Snowflake Simplifies Data Management at Scale](https://www.g2.com/survey_responses/snowflake-review-12898129)"** **Rating:** 4.0/5.0 stars *— Harshil A.* [Read full review](https://www.g2.com/survey_responses/snowflake-review-12898129) --- **"[Easy, Efficient Data Extraction with Clear Database Insights](https://www.g2.com/survey_responses/snowflake-review-12884116)"** **Rating:** 4.5/5.0 stars *— Pankaj K.* [Read full review](https://www.g2.com/survey_responses/snowflake-review-12884116) --- #### What Are G2 Users Discussing About Snowflake? - [What is Snowflake used for?](https://www.g2.com/discussions/what-is-snowflake-used-for) - 2 comments, 1 upvote ### 3. [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) IBM watsonx.data is a software designed to help organizations access, integrate, and understand structured and unstructured data across any environment. The software provides workload optimization and consistent data governance capabilities by leveraging a hybrid, multi-environment data architecture that spans cloud and on-premises systems. It automates governance enforcement across data sources and formats and reduces cost inefficiencies through price-and-performance workload optimization. IBM watsonx.data addresses enterprise data complexity by unifying data access and management across teams and environments without requiring data migration. The software supports use cases including generative AI application development, AI agent creation, and governed analytics across diverse data sources. **Average Rating:** 4.4/5.0 **Total Reviews:** 159 **How Do G2 Users Rate IBM watsonx.data?** - **Roles Management:** 9.0/10 (Category avg: 8.8/10) - **Data Discovery:** 8.8/10 (Category avg: 8.7/10) - **Compliance Management:** 9.0/10 (Category avg: 8.9/10) - **Ease of Use:** 8.2/10 (Category avg: 8.7/10) **Who Is the Company Behind IBM watsonx.data?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** https://www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer, CEO - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 34% Small-Business, 32% Enterprise #### What Are IBM watsonx.data's Pros and Cons? **Pros:** - Ease of Use (67 reviews) - Features (47 reviews) - Data Management (41 reviews) - Integrations (33 reviews) - Analytics (31 reviews) **Cons:** - Learning Curve (38 reviews) - Complexity (25 reviews) - Expensive (20 reviews) - Difficult Setup (17 reviews) - Difficulty (17 reviews) ### What Do G2 Reviewers Say About IBM watsonx.data? *AI-generated summary from verified user reviews* **Pros:** - Users admire the **ease of use** of IBM watsonx.data, streamlining data management and enhancing analytics efficiency. - Users value the **seamless integration** of data types and features in IBM watsonx.data, enhancing their analytics experience. - Users value the **organized data management** of IBM watsonx.data, streamlining workflow and improving efficiency across various tasks. - Users value the **seamless data source integration** of IBM watsonx.data, enhancing overall efficiency and usability. - Users value the **unification of data across hybrid environments** , enhancing flexibility and decision-making for AI applications. **Cons:** - Users face a **steep learning curve** with IBM watsonx.data, making initial setup and navigation challenging for newcomers. - Users find the **complexity of setup and management** for IBM watsonx.data a barrier to accessibility for new users. - Users find the **pricing to be high** compared to other options, making it less accessible for smaller businesses. - Users face a **difficult setup** process with IBM watsonx.data, requiring time and effort to configure and integrate properly. - Users find the **difficulty in performance tuning** with IBM watsonx.data challenging, especially for beginners and inexperienced teams. #### What Are Recent G2 Reviews of IBM watsonx.data? **"[Powerful Query Performance and Governance, But a Steep Onboarding Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202)"** **Rating:** 4.0/5.0 stars *— Arkajit D.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12836202) --- **"[Unified Data Management with Learning Curve](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742)"** **Rating:** 5.0/5.0 stars *— Anchal P.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-data-review-12817742) --- ### 4. [Egnyte](https://www.g2.com/products/egnyte/reviews) Egnyte is a software designed to help organizations manage content, secure data, and automate business processes through a single intelligent platform. The software provides cloud content management, data security, and AI-powered content intelligence capabilities by leveraging a unified architecture that combines governance and automation. It automates business workflows and reduces risk around critical data through integrated security controls and content intelligence. Egnyte addresses challenges around employee productivity and data protection by centralizing content management and enforcing data governance policies across the organization. The software supports use cases in architecture, engineering and construction, life sciences, and financial services, serving more than 22,000 customers worldwide. **Average Rating:** 4.4/5.0 **Total Reviews:** 1,136 **How Do G2 Users Rate Egnyte?** - **Roles Management:** 9.3/10 (Category avg: 8.8/10) - **Data Discovery:** 9.3/10 (Category avg: 8.7/10) - **Compliance Management:** 9.3/10 (Category avg: 8.9/10) - **Ease of Use:** 9.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Egnyte?** - **Seller:** [Egnyte](https://www.g2.com/sellers/egnyte) - **Company Website:** https://www.egnyte.com - **Year Founded:** 2008 - **HQ Location:** Mountain View, CA - **Twitter:** @Egnyte (16,127 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1015589/ (1,302 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Project Manager, Owner - **Top Industries:** Construction, Marketing and Advertising - **Company Size:** 44% Small-Business, 38% Mid-Market #### What Are Egnyte's Pros and Cons? **Pros:** - Ease of Use (119 reviews) - File Sharing (69 reviews) - Easy Sharing (53 reviews) - Easy Access (45 reviews) - Security (44 reviews) **Cons:** - Expensive (21 reviews) - File Management (19 reviews) - User Difficulty (13 reviews) - Lacking Features (12 reviews) - Missing Features (12 reviews) ### What Do G2 Reviewers Say About Egnyte? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **ease of use** of Egnyte, enjoying its user-friendly interface and seamless integration. - Users appreciate the **seamless file sharing** capabilities of Egnyte, enhancing collaboration and workflow efficiency across teams. - Users value the **easy sharing features** of Egnyte, enhancing collaboration across departments with confidence and efficiency. - Users appreciate the **easy access** to files from anywhere, ensuring productivity and reliability on the go. - Users value the **high security** of Egnyte, finding it trustworthy for their sensitive data storage needs. **Cons:** - Users find Egnyte to be **expensive** , especially for small businesses needing larger storage plans. - Users experience **file management failures and timeouts** , leading to frustrations with saving and duplication issues. - Users find that **using Egnyte on mobile is more difficult** than on a computer, affecting overall usability. - Users find Egnyte **lacking essential features** such as clear visibility of user actions and effective file handling capabilities. - Users find the **missing features** restrict collaborative and 3D capabilities, hindering their project workflows. #### What Are Recent G2 Reviews of Egnyte? **"[Secure, Seamless File Sharing with Strong Collaboration and Governance](https://www.g2.com/survey_responses/egnyte-review-13088921)"** **Rating:** 4.5/5.0 stars *— Dharamveer p.* [Read full review](https://www.g2.com/survey_responses/egnyte-review-13088921) --- **"[Secure, Powerful AI Collaboration with Outstanding Workflow Management](https://www.g2.com/survey_responses/egnyte-review-12819916)"** **Rating:** 4.5/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/egnyte-review-12819916) --- #### What Are G2 Users Discussing About Egnyte? - [What is Egnyte used for?](https://www.g2.com/discussions/egnyte-what-is-egnyte-used-for) - 1 comment - [Is egnyte secure?](https://www.g2.com/discussions/is-egnyte-secure) - 1 comment - [What is egnyte used for?](https://www.g2.com/discussions/what-is-egnyte-used-for) - 2 comments - [What is egnyte software?](https://www.g2.com/discussions/what-is-egnyte-software) - 1 comment ### 5. [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews) IBM watsonx.governance is a software designed to provide end-to-end, platform-agnostic AI governance for traditional ML, generative AI, and agentic AI across the full lifecycle. The software provides observability, policy enforcement, and compliance management capabilities by leveraging automated telemetry, reasoning trace capture, and integrated risk assessment frameworks. It automates agent behavior monitoring and compliance evaluation and reduces risk through continuous in-the-loop policy enforcement with automated block, route, and fallback controls. IBM watsonx.governance addresses AI trust and regulatory challenges by governing AI regardless of where it is built or deployed, spanning IBM Cloud, AWS, Azure, Oracle Cloud, on-premises, and hybrid environments. The software supports use cases including AI agent auditing, regulatory compliance, risk management, and responsible AI adoption across enterprise and public sector organizations. **Average Rating:** 4.3/5.0 **Total Reviews:** 73 **How Do G2 Users Rate IBM watsonx.governance?** - **Roles Management:** 8.5/10 (Category avg: 8.8/10) - **Data Discovery:** 8.6/10 (Category avg: 8.7/10) - **Compliance Management:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 7.8/10 (Category avg: 8.7/10) **Who Is the Company Behind IBM watsonx.governance?** - **Seller:** [IBM](https://www.g2.com/sellers/ibm) - **Company Website:** https://www.ibm.com - **Year Founded:** 1911 - **HQ Location:** Armonk, New York, United States - **Twitter:** @IBMSecurity (74,660 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1009/ (328,202 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Consulting - **Company Size:** 34% Enterprise, 26% Small-Business #### What Are IBM watsonx.governance's Pros and Cons? **Pros:** - Compliance Management (23 reviews) - Ease of Use (15 reviews) - Innovation (14 reviews) - AI Modeling (13 reviews) - Automation (13 reviews) **Cons:** - Setup Difficulty (12 reviews) - Expensive (11 reviews) - Integration Issues (11 reviews) - Learning Curve (11 reviews) - Complex Implementation (10 reviews) ### What Do G2 Reviewers Say About IBM watsonx.governance? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automated compliance management** of IBM watsonx.governance, enhancing efficiency and ensuring audit readiness. - Users benefit from the **user-friendly interface** of IBM watsonx.governance, simplifying management of AI projects effectively. - Users value the **comprehensive toolkit** of IBM watsonx.governance, enabling responsible AI management and transparency. - Users appreciate the **AI Governance & Trust capabilities** of IBM watsonx.governance, ensuring reliable and ethical AI deployment. - Users appreciate the **automated workflows** of IBM watsonx.governance, significantly reducing manual efforts and enhancing compliance. **Cons:** - Users find the **setup difficulty** quite challenging and time-consuming, particularly with integration into existing systems. - Users find IBM watsonx.governance to be **expensive** , making it a challenging choice for small businesses. - Users face **integration issues** with IBM watsonx.governance, particularly when connecting to non-IBM ecosystems. - Users experience a **steep learning curve** with IBM watsonx.governance, making initial setup and integration challenging for newcomers. - Users find the **complex implementation** challenging, especially for non-technical stakeholders and external integrations. #### What Are Recent G2 Reviews of IBM watsonx.governance? **"[Strong AI Governance Across the Full Lifecycle with Clear Visibility and Control](https://www.g2.com/survey_responses/ibm-watsonx-governance-review-12763388)"** **Rating:** 5.0/5.0 stars *— Mansi S.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-governance-review-12763388) --- **"[Enterprise AI Governance with Strong IBM Integration and Compliance Focus](https://www.g2.com/survey_responses/ibm-watsonx-governance-review-12848378)"** **Rating:** 4.5/5.0 stars *— Ricardo M.* [Read full review](https://www.g2.com/survey_responses/ibm-watsonx-governance-review-12848378) --- ### 6. [Domo](https://www.g2.com/products/domo/reviews) Domo is a software designed to help organizations turn data into actionable insights and tailored data-driven solutions. The software provides data connection, preparation, dynamic reporting, and visualization capabilities by leveraging built-in AI and automation within a single unified interface. It automates workflows and AI agent deployment and reduces the complexity of managing multiple disconnected data tools. Domo addresses business intelligence challenges by enabling both technical and non-technical users to connect diverse data sources and generate insights without requiring separate tooling. The software supports use cases including custom reporting, workflow automation, and AI agent creation for teams across mid-market and enterprise organizations. **Average Rating:** 4.3/5.0 **Total Reviews:** 1,015 **How Do G2 Users Rate Domo?** - **Roles Management:** 7.9/10 (Category avg: 8.8/10) - **Data Discovery:** 6.7/10 (Category avg: 8.7/10) - **Compliance Management:** 7.8/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Domo?** - **Seller:** [Domo](https://www.g2.com/sellers/domo) - **Company Website:** https://www.domo.com - **Year Founded:** 2010 - **HQ Location:** American Fork, UT - **Twitter:** @Domotalk (63,513 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/25237/ (1,299 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Analyst, Business Analyst - **Top Industries:** Computer Software, Marketing and Advertising - **Company Size:** 49% Mid-Market, 29% Enterprise #### What Are Domo's Pros and Cons? **Pros:** - Ease of Use (247 reviews) - Data Visualization (116 reviews) - Intuitive (95 reviews) - Easy Integrations (92 reviews) - Integrations (88 reviews) **Cons:** - Learning Curve (66 reviews) - Missing Features (59 reviews) - Data Management Issues (55 reviews) - Expensive (44 reviews) - Complexity (43 reviews) ### What Do G2 Reviewers Say About Domo? *AI-generated summary from verified user reviews* **Pros:** - Users praise the **ease of use** of Domo, making data management accessible for everyone, even the less tech-savvy. - Users value the **flexible dashboards** of Domo, which simplify data visualization and enhance decision-making efficiency. - Users highlight the **intuitive design** of Domo, making data management accessible for everyone, even non-tech-savvy users. - Users love the **easy integrations** of Domo, which streamline data management and enhance collaboration across platforms. - Users value Domo's **seamless integration** with diverse data sources, enhancing data management and decision-making efficiency. **Cons:** - Users find the **learning curve steep** , needing extra effort to manage updates and navigate functionalities effectively. - Users express concern over **missing features** like flexible pivot charts and unclear pricing models, impacting usability. - Users face **data management issues** with Domo, citing unreliable connectors and difficulties in report generation and licensing. - Users express frustration with Domo's **expensive pricing hikes** , particularly sudden increases that strain long-term customer relationships. - Users find Domo's **complexity** challenging, with rigid data structures and cumbersome processes hindering efficiency and adaptability. #### What Are Recent G2 Reviews of Domo? **"[Effortless Live Dashboards and Data Blending with Domo](https://www.g2.com/survey_responses/domo-review-13093007)"** **Rating:** 5.0/5.0 stars *— Karthik M.* [Read full review](https://www.g2.com/survey_responses/domo-review-13093007) --- **"[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)"** **Rating:** 5.0/5.0 stars *— Karthik S.* [Read full review](https://www.g2.com/survey_responses/domo-review-13032278) --- #### What Are G2 Users Discussing About Domo? - [What is Domo used for?](https://www.g2.com/discussions/what-is-domo-used-for) - 1 comment - [How much does Domo cost?](https://www.g2.com/discussions/how-much-does-domo-cost) - [What is Domo data?](https://www.g2.com/discussions/what-is-domo-data) - [Is Domo any good?](https://www.g2.com/discussions/is-domo-any-good) - [What does Domo software do?](https://www.g2.com/discussions/what-does-domo-software-do) ### 7. [Salesforce Data 360 (formerly Data Cloud)](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews) Salesforce Data 360 (formerly Data Cloud) is a software designed to unlock the full value of enterprise data by powering Customer 360 apps, Agentforce, and real-time intelligent action across an organization. The software provides structured and unstructured data unification, real-time insight generation, and low-code data activation capabilities by leveraging a Zero Copy architecture and deep partnerships with Amazon, Snowflake, Databricks, and Google. It automates data bridging across lakes, warehouses, and business applications and reduces the need to replace or re-platform existing data investments. Salesforce Data 360 addresses enterprise data fragmentation by acting as a smart integration layer that complements current systems while activating data seamlessly within the Salesforce ecosystem. The software supports use cases including customer personalization, AI agent enablement, and cross-platform data activation for mid-market and enterprise organizations. **Average Rating:** 4.3/5.0 **Total Reviews:** 294 **How Do G2 Users Rate Salesforce Data 360 (formerly Data Cloud)?** - **Roles Management:** 8.8/10 (Category avg: 8.8/10) - **Data Discovery:** 9.0/10 (Category avg: 8.7/10) - **Compliance Management:** 9.3/10 (Category avg: 8.9/10) - **Ease of Use:** 7.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Salesforce Data 360 (formerly Data Cloud)?** - **Seller:** [Salesforce](https://www.g2.com/sellers/salesforce) - **Company Website:** https://www.salesforce.com/ - **Year Founded:** 1999 - **HQ Location:** San Francisco, CA - **Twitter:** @salesforce (579,511 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3185/ (83,223 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Salesforce Developer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 39% Mid-Market, 39% Enterprise #### What Are Salesforce Data 360 (formerly Data Cloud)'s Pros and Cons? **Pros:** - Platform Integration (79 reviews) - Ease of Use (56 reviews) - Easy Integration (53 reviews) - Data Discovery (39 reviews) - Integrations (38 reviews) **Cons:** - Learning Curve (53 reviews) - Expensive (44 reviews) - Difficult Learning (37 reviews) - Complexity (36 reviews) - Complex Setup (34 reviews) ### What Do G2 Reviewers Say About Salesforce Data 360 (formerly Data Cloud)? *AI-generated summary from verified user reviews* **Pros:** - Users value the **seamless platform integration** of Salesforce Data 360, enhancing data accessibility and operational efficiency. - Users appreciate the **ease of use** of Salesforce Data 360, benefiting from its intuitive interface and streamlined functionality. - Users appreciate the **easy integration** of Salesforce Data 360, enabling seamless data unification across multiple Salesforce platforms. - Users value the **real-time data aggregation** of Salesforce Data 360, enabling smarter decision-making and improved customer insights. - Users value the **seamless integration** of Salesforce Data 360 with Marketing Cloud for unified customer profiling and targeted campaigns. **Cons:** - Users find the **steep learning curve** of Salesforce Data 360 challenging, making initial setup and comprehension difficult. - Users find the **high costs associated with setup and data integration** to be a significant drawback of Salesforce Data 360. - Users face a **difficult learning curve** with Salesforce Data 360, making setup and understanding complex functionalities challenging. - Users often find the **implementation complexity** challenging, especially new users who face a steep learning curve. - Users face a **complex setup** with a steep learning curve, making initial use of Salesforce Data Cloud challenging. #### What Are Recent G2 Reviews of Salesforce Data 360 (formerly Data Cloud)? **"[Unifies Customer Data into Actionable Insights Across Salesforce](https://www.g2.com/survey_responses/salesforce-data-360-formerly-data-cloud-review-13038632)"** **Rating:** 5.0/5.0 stars *— Juan Pablo C.* [Read full review](https://www.g2.com/survey_responses/salesforce-data-360-formerly-data-cloud-review-13038632) --- **"[Salesforce Data 360: Powerful Zero-Copy Data Unification for Actionable Customer Insights](https://www.g2.com/survey_responses/salesforce-data-360-formerly-data-cloud-review-12838009)"** **Rating:** 5.0/5.0 stars *— Mauricio Alexandre S.* [Read full review](https://www.g2.com/survey_responses/salesforce-data-360-formerly-data-cloud-review-12838009) --- #### What Are G2 Users Discussing About Salesforce Data 360 (formerly Data Cloud)? - [What is the benefit of the hub and spoke design of customer 360 Data Manager?](https://www.g2.com/discussions/what-is-the-benefit-of-the-hub-and-spoke-design-of-customer-360-data-manager) - [What is customer 360 Data Manager?](https://www.g2.com/discussions/what-is-customer-360-data-manager) - [What does customer 360 Data Manager provide businesses?](https://www.g2.com/discussions/what-does-customer-360-data-manager-provide-businesses) ### 8. [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews) SAP Master Data Governance (MDG) is a software designed to facilitate the centralized or decentralized management of master data across an enterprise system landscape. The software provides data validation, quality checks, and governance framework capabilities by leveraging tight integration with existing SAP data models, business logic, and validation frameworks. It automates master data creation, modification, and distribution workflows and reduces data redundancy and errors through standardized quality controls. SAP Master Data Governance (MDG) addresses data consistency and compliance challenges by providing a unified view of customer, vendor, and product data while supporting open integration with third-party systems. The software supports use cases including master data consolidation, regulatory compliance, and cross-departmental data governance for industries such as finance, manufacturing, and retail. **Average Rating:** 4.4/5.0 **Total Reviews:** 242 **How Do G2 Users Rate SAP Master Data Governance (MDG)?** - **Roles Management:** 8.8/10 (Category avg: 8.8/10) - **Data Discovery:** 9.1/10 (Category avg: 8.7/10) - **Compliance Management:** 8.5/10 (Category avg: 8.9/10) - **Ease of Use:** 8.6/10 (Category avg: 8.7/10) **Who Is the Company Behind SAP Master Data Governance (MDG)?** - **Seller:** [SAP](https://www.g2.com/sellers/sap) - **Company Website:** https://www.sap.com/ - **Year Founded:** 1972 - **HQ Location:** Walldorf - **Twitter:** @SAP (297,052 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/sap/ (141,955 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Consultant, SAP MDG Consultant - **Top Industries:** Information Technology and Services, Pharmaceuticals - **Company Size:** 55% Enterprise, 33% Mid-Market #### What Are SAP Master Data Governance (MDG)'s Pros and Cons? **Pros:** - Ease of Use (17 reviews) - Data Quality (13 reviews) - Data Management (12 reviews) - Data Accuracy (9 reviews) - Data Integration (9 reviews) **Cons:** - Complex Setup (9 reviews) - Complex Implementation (6 reviews) - Data Management Issues (6 reviews) - Expensive (6 reviews) - Setup Difficulty (6 reviews) ### What Do G2 Reviewers Say About SAP Master Data Governance (MDG)? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of SAP MDG, appreciating its smooth, intuitive interface for master data governance. - Users value the **single, trusted source of master data** that enhances data quality and ensures compliance across the organization. - Users appreciate the **centralization and streamlining of master data management** that enhances operational efficiency and data reliability. - Users value the **data accuracy** provided by SAP Master Data Governance, ensuring reliable master data across the organization. - Users value the **seamless data integration** of SAP MDG, enhancing data quality and compliance across the organization. **Cons:** - Users find the **complex setup** of SAP MDG challenging and time-consuming, especially for tailored business needs. - Users find that the **complex implementation** of SAP MDG can be time-consuming and challenging to customize effectively. - Users experience **data management issues** with SAP MDG, including delays, complexity, and potential for manipulation without strict configuration. - Users find SAP MDG **expensive** compared to simpler solutions, seeking more affordable options for implementation. - Users find the **setup and configuration of SAP MDG complex** , requiring significant effort and collaboration to achieve success. #### What Are Recent G2 Reviews of SAP Master Data Governance (MDG)? **"[Streamlined Workflow with Customizable Controls, But Lacks Industry-Specific Integration](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12802108)"** **Rating:** 4.0/5.0 stars *— xin l.* [Read full review](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12802108) --- **"[Effortless Master Data Management, Some Integration Hurdles](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12805197)"** **Rating:** 4.5/5.0 stars *— Ben B.* [Read full review](https://www.g2.com/survey_responses/sap-master-data-governance-mdg-review-12805197) --- #### What Are G2 Users Discussing About SAP Master Data Governance (MDG)? - [What is SAP Master Data Governance (MDG) used for?](https://www.g2.com/discussions/what-is-sap-master-data-governance-mdg-used-for) - 1 comment - [What is SAP MDG F?](https://www.g2.com/discussions/what-is-sap-mdg-f) - 1 comment - [What is SAP MDM and MDG?](https://www.g2.com/discussions/what-is-sap-mdm-and-mdg) - 1 comment - [What is SAP MDG used for?](https://www.g2.com/discussions/what-is-sap-mdg-used-for) - 1 comment - [What is SAP Master Data Governance?](https://www.g2.com/discussions/what-is-sap-master-data-governance) - 1 comment ### 9. [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) SAS Viya is a software designed to help organizations build, deploy, and scale explainable AI that drives trusted, confident decisions across the full data and AI lifecycle. The software provides data management, advanced analytics, model governance, and decisioning capabilities by leveraging a cloud-native architecture with built-in lineage, auditability, and continuous monitoring. It automates model lifecycle management including monitoring and retraining and reduces risk through governance-by-design controls applied consistently across data, models, and decisions. SAS Viya addresses the challenge of moving AI from experimentation to production by delivering explainable, auditable outcomes that satisfy both business stakeholders and regulators. The software supports use cases including statistical analysis, machine learning operationalization, and governed AI deployment across flexible cloud-native environments spanning pharmaceuticals, banking, and other regulated industries. **Average Rating:** 4.3/5.0 **Total Reviews:** 766 **How Do G2 Users Rate SAS Viya?** - **Roles Management:** 8.3/10 (Category avg: 8.8/10) - **Data Discovery:** 8.5/10 (Category avg: 8.7/10) - **Ease of Use:** 8.2/10 (Category avg: 8.7/10) **Who Is the Company Behind SAS Viya?** - **Seller:** [SAS Institute Inc.](https://www.g2.com/sellers/sas-institute-inc-df6dde22-a5e5-4913-8b21-4fa0c6c5c7c2) - **Company Website:** https://www.sas.com/ - **Year Founded:** 1976 - **HQ Location:** Cary, NC - **Twitter:** @SASsoftware (60,863 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1491/ (18,638 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Student, Biostatistician - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Enterprise, 33% Small-Business #### What Are SAS Viya's Pros and Cons? **Pros:** - Ease of Use (316 reviews) - Features (218 reviews) - Analytics (196 reviews) - Data Analysis (166 reviews) - User Interface (147 reviews) **Cons:** - Learning Difficulty (151 reviews) - Learning Curve (144 reviews) - Complexity (143 reviews) - Difficult Learning (117 reviews) - Expensive (108 reviews) ### What Do G2 Reviewers Say About SAS Viya? *AI-generated summary from verified user reviews* **Pros:** - Users value the **user-friendly interface** of SAS Viya, which simplifies data analysis for all proficiency levels. - Users praise SAS Viya for its **advanced analytical capabilities** , enabling real-time insights and decision-making across various industries. - Users value the **advanced analytical capabilities** of SAS Viya, enhancing decision-making and providing deep business insights. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing insights and decision-making across our organization. - Users appreciate the **user-friendly interface** of SAS Viya, enabling easy access for varied technical skills. **Cons:** - Users find SAS Viya **difficult to use for non-technical users** , impacting their ability to access reports and dashboards. - Users find the **learning curve steep** , making it challenging for non-technical users to utilize SAS Viya effectively. - Users find the **visualization complexity** of SAS Viya challenging, especially for non-technical and new users. - Users find the **difficult learning curve** challenging, especially for non-technical users accessing reports and dashboards. - Users find the **pricing to be expensive** and often unclear, making it a significant concern during assessment. #### What Are Recent G2 Reviews of SAS Viya? **"[Intuitive Interface with Fast, Practical Reporting for Massive Data](https://www.g2.com/survey_responses/sas-viya-review-13091171)"** **Rating:** 5.0/5.0 stars *— Nahom K.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-13091171) --- **"[Valuable, Data-Driven Insights That Keep Getting Better](https://www.g2.com/survey_responses/sas-viya-review-13100729)"** **Rating:** 5.0/5.0 stars *— Gilbert B.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-13100729) --- #### What Are G2 Users Discussing About SAS Viya? - [What is SAS Visual Data Mining and Machine Learning used for?](https://www.g2.com/discussions/what-is-sas-visual-data-mining-and-machine-learning-used-for) - 2 comments ### 10. [Varonis Data Security Platform](https://www.g2.com/products/varonis-data-security-platform/reviews) Varonis Data Security Platform is a software designed to secure AI systems and the enterprise data that powers them, giving organizations automated visibility and control over critical data wherever it lives. The software provides data exposure detection, access control, behavioral analytics, and managed detection and response capabilities by leveraging automated monitoring from code to runtime. It automates identification of overexposed data and excessive permissions and reduces incident response time through audit trails and real-time alerting. Varonis Data Security Platform addresses AI security and data governance challenges by continuously monitoring data access patterns and enforcing controls to stop AI-powered threats and insider risks. The software supports use cases including ransomware defense, data exfiltration prevention, regulatory compliance, and safe AI adoption for enterprise and mid-market organizations across financial services and retail. **Average Rating:** 4.6/5.0 **Total Reviews:** 88 **How Do G2 Users Rate Varonis Data Security Platform?** - **Roles Management:** 8.5/10 (Category avg: 8.8/10) - **Data Discovery:** 8.9/10 (Category avg: 8.7/10) - **Compliance Management:** 9.1/10 (Category avg: 8.9/10) - **Ease of Use:** 8.1/10 (Category avg: 8.7/10) **Who Is the Company Behind Varonis Data Security Platform?** - **Seller:** [Varonis](https://www.g2.com/sellers/varonis) - **Company Website:** https://www.varonis.com - **Year Founded:** 2005 - **HQ Location:** New York, US - **Twitter:** @varonis (6,400 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/varonis (2,798 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Manufacturing - **Company Size:** 64% Enterprise, 32% Mid-Market #### What Are Varonis Data Security Platform's Pros and Cons? **Pros:** - Security (22 reviews) - Data Protection (21 reviews) - Detailed Analysis (19 reviews) - Features (19 reviews) - Ease of Use (18 reviews) **Cons:** - Complexity (18 reviews) - Learning Curve (10 reviews) - Learning Difficulty (10 reviews) - Expensive (8 reviews) - Setup Difficulty (8 reviews) ### What Do G2 Reviewers Say About Varonis Data Security Platform? *AI-generated summary from verified user reviews* **Pros:** - Users value the **complete visibility** into sensitive data, enhancing proactive alerts and overall cybersecurity effectiveness. - Users value the **comprehensive data protection** of Varonis, enhancing visibility, threat detection, and compliance efficiency. - Users appreciate the **complete visibility into sensitive data** , enabling proactive alerts and actionable insights for enhanced cybersecurity. - Users appreciate the **complete visibility into sensitive data** , enhancing cybersecurity and proactively addressing potential risks. - Users value the **user-friendly management features** of Varonis Data Security Platform, enhancing overall cybersecurity with ease. **Cons:** - Users note the **complexity of implementation** with the Varonis Data Security Platform, requiring significant time and resources for setup. - Users experience a steep **learning curve** during initial setup, making it challenging to fully utilize Varonis Data Security Platform. - Users find the **learning difficulty** of Varonis challenging, especially due to its complexity and extensive features. - Users note that the **high cost** of Varonis can be prohibitive for smaller and mid-market organizations. - Users find the **setup process challenging** , often requiring significant time and effort to grasp all features. #### What Are Recent G2 Reviews of Varonis Data Security Platform? **"[The best experience with Varonis Data Security Platform](https://www.g2.com/survey_responses/varonis-data-security-platform-review-8137807)"** **Rating:** 5.0/5.0 stars *— Jean-Baptiste F.* [Read full review](https://www.g2.com/survey_responses/varonis-data-security-platform-review-8137807) --- **"[Varonis Saves Months of Compliance Work with Powerful Keyword Search and Helpful Support](https://www.g2.com/survey_responses/varonis-data-security-platform-review-12798879)"** **Rating:** 4.5/5.0 stars *— Douglas W.* [Read full review](https://www.g2.com/survey_responses/varonis-data-security-platform-review-12798879) --- #### What Are G2 Users Discussing About Varonis Data Security Platform? - [Is Varonis a reliable source?](https://www.g2.com/discussions/is-varonis-a-reliable-source) - [Does Varonis use agents?](https://www.g2.com/discussions/does-varonis-use-agents) - [What does Varonis DatAdvantage do?](https://www.g2.com/discussions/what-does-varonis-datadvantage-do) ### 11. [Teradata Autonomous Knowledge Platform](https://www.g2.com/products/teradata-autonomous-knowledge-platform/reviews) Teradata Vantage is a software designed to provide organizations with a complete cloud analytics and data platform built to support AI-driven decision-making at enterprise scale. The software provides harmonized data management, trusted AI integration, and advanced analytics capabilities by leveraging a cloud-native architecture optimized for complex SQL and analytic joins across large datasets. It automates enterprise data integration and reduces friction in cross-functional analytics by unifying data across the organization into a single governed platform. Teradata Vantage addresses business performance and data complexity challenges by delivering trusted, harmonized data that empowers companies to make faster and more confident decisions. The software supports use cases including customer experience optimization, financial analytics, and enterprise-wide data integration for top companies across information technology, financial services, and other major industries. **Average Rating:** 4.3/5.0 **Total Reviews:** 357 **How Do G2 Users Rate Teradata Autonomous Knowledge Platform?** - **Roles Management:** 8.8/10 (Category avg: 8.8/10) - **Data Discovery:** 8.2/10 (Category avg: 8.7/10) - **Compliance Management:** 8.1/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Teradata Autonomous Knowledge Platform?** - **Seller:** [Teradata Autonomous Knowledge Platform](https://www.g2.com/sellers/teradata-autonomous-knowledge-platform) - **Company Website:** https://www.teradata.com - **Year Founded:** 1979 - **HQ Location:** San Diego, CA - **Twitter:** @Teradata (93,113 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/1466/ (9,901 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer, Software Engineer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 68% Enterprise, 22% Mid-Market #### What Are Teradata Autonomous Knowledge Platform's Pros and Cons? **Pros:** - Performance (14 reviews) - Analytics (11 reviews) - Scalability (11 reviews) - Speed (11 reviews) - Large Datasets (9 reviews) **Cons:** - Learning Curve (9 reviews) - Steep Learning Curve (5 reviews) - Complexity (4 reviews) - Cost (3 reviews) - Expensive (3 reviews) ### What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform? *AI-generated summary from verified user reviews* **Pros:** - Users enjoy the **high performance** of Teradata's platform, praising its speed and efficiency in processing data. - Users value the **high performance query execution** of Teradata, enhancing their business analytics with reliability and speed. - Users value the **scalability** of Teradata Autonomous Knowledge Platform, enabling efficient data integration and streamlined operations. - Users value the **extreme performance** of Teradata, efficiently processing large datasets with remarkable speed and reliability. - Users appreciate the **fast processing of large datasets** , highlighting its reliability and seamless integration capabilities. **Cons:** - Users experience a **steep learning curve** with Teradata Autonomous Knowledge Platform, impacting productivity and requiring specialized training. - Users struggle with the **steep learning curve** of Teradata Autonomous Knowledge Platform, finding it challenging for newcomers to navigate. - Users find the **complexity** of the Teradata platform challenging, especially for non-technical and new users. - Users find the **cost management** essential to prevent unexpected issues and performance problems with the platform. - Users find the **high cost** of the Teradata Autonomous Knowledge Platform to be a significant drawback. #### What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform? **"[Teradata Vantage Fast Query Performance and Strong Analytics for Big Data](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668)"** **Rating:** 5.0/5.0 stars *— Muzammil M.* [Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12821668) --- **"[Teradata Vantage Excels at Big Data Processing and Advanced Analytics](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181)"** **Rating:** 4.5/5.0 stars *— Nijat I.* [Read full review](https://www.g2.com/survey_responses/teradata-autonomous-knowledge-platform-review-12739181) --- #### What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform? - [What does Teradata Data Lab do?](https://www.g2.com/discussions/what-does-teradata-data-lab-do) - [Is Teradata a premiership?](https://www.g2.com/discussions/is-teradata-a-premiership) - [What is Teradata Vantage?](https://www.g2.com/discussions/what-is-teradata-vantage) - [How much does Teradata cost?](https://www.g2.com/discussions/how-much-does-teradata-cost) - [What is Sandbox in Teradata?](https://www.g2.com/discussions/what-is-sandbox-in-teradata) ### 12. [Securiti](https://www.g2.com/products/securiti/reviews) Securiti is a software designed to enable the safe and governed use of data and generative AI through a centralized DataAI Command Center. The software provides unified data intelligence, security controls, and orchestration capabilities by leveraging a hybrid multicloud architecture that spans on-premises and cloud environments. It automates data security and privacy workflows and reduces compliance risk through integrated governance and policy enforcement across all data sources. Securiti addresses enterprise data trust challenges by centralizing visibility and control over data assets used to power AI, ensuring that data usage remains compliant with internal policies and external regulations. The software supports use cases including data security, privacy management, AI governance, and regulatory compliance for large global enterprises across computer software and retail industries. **Average Rating:** 4.7/5.0 **Total Reviews:** 87 **How Do G2 Users Rate Securiti?** - **Roles Management:** 9.0/10 (Category avg: 8.8/10) - **Data Discovery:** 9.1/10 (Category avg: 8.7/10) - **Compliance Management:** 9.2/10 (Category avg: 8.9/10) - **Ease of Use:** 8.6/10 (Category avg: 8.7/10) **Who Is the Company Behind Securiti?** - **Seller:** [Veeam](https://www.g2.com/sellers/veeam) - **Company Website:** https://www.veeam.com - **Year Founded:** 2006 - **HQ Location:** Kirkland, WA - **Twitter:** @veeam (51,541 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/veeam-software/ (7,174 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Banking - **Company Size:** 64% Enterprise, 16% Mid-Market #### What Are Securiti's Pros and Cons? **Pros:** - Ease of Use (38 reviews) - Customer Support (26 reviews) - Features (21 reviews) - Helpful (20 reviews) - Problem Solving (20 reviews) **Cons:** - Complexity (11 reviews) - Learning Curve (10 reviews) - Implementation Issues (9 reviews) - Complexity Issues (8 reviews) - Learning Difficulty (8 reviews) ### What Do G2 Reviewers Say About Securiti? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** with Securiti, appreciating its straightforward setup and intuitive interface. - Users commend the **excellent customer support** of Securiti, highlighting professionalism and responsiveness from the account managers. - Users appreciate the **user-friendly interface and comprehensive features** of Securiti, enabling seamless integration for privacy management. - Users value the **responsive and helpful customer-focused team** , enhancing collaboration and efficiency across multiple markets. - Users highlight the **robust automation** in Securiti, simplifying privacy tasks and ensuring compliance with ease. **Cons:** - Users find the **complexity** of Securiti can make setup and navigation challenging, requiring significant expertise and training. - Users face a **steep learning curve** with Securiti, requiring thorough training to harness its complex features effectively. - Users find **implementation issues** with Securiti, requiring extensive time and expertise for successful integration across systems. - Users find the **complexity issues** of Securiti challenging, particularly in configuring rules and implementing workflows. - Users find the **steep learning curve** of Securiti challenging, making it hard to build and modify workflows independently. #### What Are Recent G2 Reviews of Securiti? **"[Fantastic for Hybrid Data Discovery, Classification, and Automated Remediation](https://www.g2.com/survey_responses/securiti-review-12493209)"** **Rating:** 4.5/5.0 stars *— Verified User in Human Resources* [Read full review](https://www.g2.com/survey_responses/securiti-review-12493209) --- **"[Accurate Multicloud Data Discovery That Makes GDPR Compliance Easier](https://www.g2.com/survey_responses/securiti-review-13103173)"** **Rating:** 4.5/5.0 stars *— Adham A.* [Read full review](https://www.g2.com/survey_responses/securiti-review-13103173) --- #### What Are G2 Users Discussing About Securiti? - [What are the examples of security software?](https://www.g2.com/discussions/what-are-the-examples-of-security-software) - [What security features mean?](https://www.g2.com/discussions/what-security-features-mean) - [What does a security software do?](https://www.g2.com/discussions/what-does-a-security-software-do) - [What are examples of security features?](https://www.g2.com/discussions/what-are-examples-of-security-features) ### 13. [OneTrust Privacy Automation](https://www.g2.com/products/onetrust-privacy-automation/reviews) OneTrust Privacy Automation is a software designed to simplify compliance, automate privacy operations, and enable the responsible use of data and AI across an organization's full data estate. The software provides consent management, data subject request automation, and integrated risk management capabilities by leveraging evergreen data mapping, real-time compliance monitoring, and privacy and AI risk workflows. It automates governance across privacy, security, IT, third-party, and AI risk domains and reduces manual compliance effort through policy enforcement applied across the entire data lifecycle. OneTrust Privacy Automation addresses regulatory and operational risk challenges by enabling seamless collaboration between data teams and risk teams within a single governed platform. The software supports use cases including privacy program management, AI risk governance, data subject rights fulfillment, and compliance reporting for more than 14,000 customers globally across enterprise and mid-market organizations. **Average Rating:** 4.3/5.0 **Total Reviews:** 143 **How Do G2 Users Rate OneTrust Privacy Automation?** - **Roles Management:** 8.3/10 (Category avg: 8.8/10) - **Data Discovery:** 8.8/10 (Category avg: 8.7/10) - **Compliance Management:** 8.5/10 (Category avg: 8.9/10) - **Ease of Use:** 8.2/10 (Category avg: 8.7/10) **Who Is the Company Behind OneTrust Privacy Automation?** - **Seller:** [OneTrust](https://www.g2.com/sellers/onetrust) - **Company Website:** https://www.onetrust.com/ - **Year Founded:** 2016 - **HQ Location:** Atlanta, Georgia - **Twitter:** @OneTrust (6,566 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/10795459/ (2,487 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Protection Officer - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 45% Enterprise, 40% Mid-Market #### What Are OneTrust Privacy Automation's Pros and Cons? **Pros:** - Ease of Use (4 reviews) - Problem Solving (3 reviews) - Automation (2 reviews) - Compliance (2 reviews) - Compliance Support (2 reviews) **Cons:** - Complexity (3 reviews) - Complexity Issues (3 reviews) - Complexity Management (3 reviews) - Feature Limitations (3 reviews) - Learning Difficulty (3 reviews) ### What Do G2 Reviewers Say About OneTrust Privacy Automation? *AI-generated summary from verified user reviews* **Pros:** - Users find OneTrust Privacy Automation's **ease of use** beneficial for streamlining privacy workflows and enhancing team collaboration. - Users appreciate the **comprehensive all-in-one platform** of OneTrust Privacy Automation, streamlining privacy workflows and regulatory compliance. - Users appreciate the **comprehensive automation** of OneTrust Privacy Automation, streamlining privacy tasks and enhancing compliance efficiency. - Users value the **centralized automation of privacy workflows** , enhancing compliance efficiency and proactive management of privacy tasks. - Users appreciate the **comprehensive all-in-one platform** of OneTrust Privacy Automation for its efficiency and regulatory intelligence. **Cons:** - Users find the **complexity and steep learning curve** of OneTrust Privacy Automation to be challenging and time-consuming. - Users find the **complexity issues** of OneTrust Privacy Automation challenging, requiring extensive training and configuration time. - Users find the **complexity of configuration** and steep learning curve challenging, particularly for those without IT skills. - Users find the **feature limitations** of OneTrust Privacy Automation hinder effective reporting and data migration processes. - Users find the **learning difficulty** of OneTrust Privacy Automation discouraging, requiring extensive training and time for setup. #### What Are Recent G2 Reviews of OneTrust Privacy Automation? **"[Easy-to-Use Compliance Tool That Integrates Seamlessly](https://www.g2.com/survey_responses/onetrust-privacy-automation-review-12589467)"** **Rating:** 5.0/5.0 stars *— Ryan H.* [Read full review](https://www.g2.com/survey_responses/onetrust-privacy-automation-review-12589467) --- **"[Intuitive UI and Smooth Onboarding for Workflows and Integrations](https://www.g2.com/survey_responses/onetrust-privacy-automation-review-12641842)"** **Rating:** 4.5/5.0 stars *— Mark B.* [Read full review](https://www.g2.com/survey_responses/onetrust-privacy-automation-review-12641842) --- ### 14. [Twilio Segment](https://www.g2.com/products/twilio-segment/reviews) Twilio Segment is a software designed to provide companies with a customer data foundation that puts customers at the heart of every business decision. The software provides customer data collection, unification, and routing capabilities by leveraging a Customer Data Platform architecture that connects data across any system in real time. It automates customer data pipelines across marketing, product, and analytics tools and reduces data fragmentation by creating a single unified customer profile. Twilio Segment addresses the challenge of understanding customers across touchpoints by enabling companies to collect and activate consistent, real-time customer data wherever it is needed. The software supports use cases including real-time personalization, growth acceleration, and customer experience optimization for thousands of companies including Intuit, FOX, Instacart, and Levi's. **Average Rating:** 4.5/5.0 **Total Reviews:** 555 **How Do G2 Users Rate Twilio Segment?** - **Roles Management:** 8.4/10 (Category avg: 8.8/10) - **Data Discovery:** 8.5/10 (Category avg: 8.7/10) - **Compliance Management:** 8.9/10 (Category avg: 8.9/10) - **Ease of Use:** 8.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Twilio Segment?** - **Seller:** [Twilio](https://www.g2.com/sellers/twilio) - **Year Founded:** 2008 - **HQ Location:** San Francisco, CA - **Twitter:** @twilio (81,644 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/twilio-inc-/ (6,678 employees on LinkedIn®) - **Ownership:** NYSE: TWLO **Who Uses This Product?** - **Who Uses This:** Product Manager, Software Engineer - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 47% Mid-Market, 42% Small-Business #### What Are Twilio Segment's Pros and Cons? **Pros:** - Easy Integration (5 reviews) - Easy Integrations (5 reviews) - Ease of Use (4 reviews) - Easy Setup (4 reviews) - Integration Capabilities (4 reviews) **Cons:** - Expensive (4 reviews) - Pricing Issues (3 reviews) - Learning Curve (2 reviews) - Poor Customer Support (2 reviews) - Poor Interface Design (2 reviews) ### What Do G2 Reviewers Say About Twilio Segment? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **easy integration** capabilities of Twilio Segment, simplifying data sharing across platforms without engineering. - Users appreciate the **easy integrations** of Twilio Segment, allowing seamless data transfer without engineering expertise. - Users appreciate the **ease of use** of Twilio Segment, finding its setup and integration straightforward and efficient. - Users appreciate the **easy setup** of Twilio Segment, finding it straightforward and efficient for integrating data sources. - Users value the **seamless integration capabilities** of Twilio Segment, enabling effortless data transfer across platforms. **Cons:** - Users find Twilio Segment **expensive** , with high costs for implementation and ongoing support impacting overall satisfaction. - Users feel that **pricing is too high** , making it difficult to justify the cost for necessary functionalities. - Users face a **high learning curve** with Twilio Segment, making initial implementation and event design challenging. - Users express frustration over **poor customer support** from Twilio Segment, complicating their implementation and overall experience. - Users face a **poor interface design** , hindering their ability to create reports and manage audience effectively. #### What Are Recent G2 Reviews of Twilio Segment? **"[Amazing Multi-Source Sync with a Great Live Debugger](https://www.g2.com/survey_responses/twilio-segment-review-12666594)"** **Rating:** 4.5/5.0 stars *— Verified User in Education Management* [Read full review](https://www.g2.com/survey_responses/twilio-segment-review-12666594) --- **"[Super Clean Interface for Easy Third-Party Script Management](https://www.g2.com/survey_responses/twilio-segment-review-12470532)"** **Rating:** 4.0/5.0 stars *— Tim C.* [Read full review](https://www.g2.com/survey_responses/twilio-segment-review-12470532) --- #### What Are G2 Users Discussing About Twilio Segment? - [What is Segment used for?](https://www.g2.com/discussions/segment-what-is-segment-used-for) - 1 comment - [Is segment an ETL tool?](https://www.g2.com/discussions/is-segment-an-etl-tool) - 1 comment - [What is segment used for?](https://www.g2.com/discussions/what-is-segment-used-for) - 1 comment - [What is segment platform?](https://www.g2.com/discussions/what-is-segment-platform) - [What is segment software?](https://www.g2.com/discussions/what-is-segment-software) ### 15. [D&B Connect](https://www.g2.com/products/d-b-connect/reviews) D&B Connect (the next generation of D&B Optimizer) is an AI-driven Data Management Platform based on the D&B Cloud that provides businesses with customer data and market insights. With D&B Connect, users can collaborate on data management tasks, visualize, monitor, and benchmark data, as well as assess overall data health. Integrations with Master Data Management Platforms, Customer Data Platforms, and CRMs enable automated data updates and anomaly detection through the identity resolution engine. MAP integrations allow for the automation of cross-channel marketing tasks on social media, email, and websites. **Average Rating:** 4.1/5.0 **Total Reviews:** 131 **How Do G2 Users Rate D&B Connect?** - **Roles Management:** 8.8/10 (Category avg: 8.8/10) - **Data Discovery:** 8.5/10 (Category avg: 8.7/10) - **Compliance Management:** 8.1/10 (Category avg: 8.9/10) - **Ease of Use:** 8.5/10 (Category avg: 8.7/10) **Who Is the Company Behind D&B Connect?** - **Seller:** [Dun & Bradstreet](https://www.g2.com/sellers/dun-bradstreet) - **Company Website:** https://www.dnb.com - **HQ Location:** Short Hills, NJ - **Twitter:** @DunBradstreet (22,541 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2385/ (5,747 employees on LinkedIn®) - **Ownership:** NYSE: DNB **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 44% Mid-Market, 31% Small-Business #### What Are D&B Connect's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Data Accuracy (17 reviews) - Data Quality (11 reviews) - Accuracy (7 reviews) - Data Discovery (7 reviews) **Cons:** - Limitations (9 reviews) - Learning Curve (7 reviews) - Expensive (6 reviews) - Limited Functionality (6 reviews) - Outdated Data (6 reviews) ### What Do G2 Reviewers Say About D&B Connect? *AI-generated summary from verified user reviews* **Pros:** - Users find D&B Connect to be **very easy to use** , enhancing their data efforts with quick and seamless integration. - Users value the **data accuracy** of D&B Connect, enhancing data quality and supporting company growth effectively. - Users value the **comprehensive data access** of D&B Connect, enhancing their data quality efforts and insights collection. - Users appreciate the **accuracy** of D&B Connect in data management, enhancing risk assessments and brand credibility. - Users appreciate the **excellent B2B data coverage** of D&B Connect, benefiting from quality contact information and integrations. **Cons:** - Users experience **limited control and tracking** in D&B Connect, leading to frustrations and inefficiencies in data management. - Users often struggle with the **steep learning curve** of D&B Connect, highlighting the need for additional training. - Users highlight the **expensive pricing** of D&B Connect, which seems to cater primarily to larger enterprises. - Users feel the **limited functionality** of D&B Connect hinders customization and complicates the data matching process. - Users are frustrated by the **outdated data** as updates can take 24-48 hours, impacting business accuracy. #### What Are Recent G2 Reviews of D&B Connect? **"[Seamless CRM Integration with Robust Data Enrichment](https://www.g2.com/survey_responses/d-b-connect-review-12328160)"** **Rating:** 4.5/5.0 stars *— Ramy A.* [Read full review](https://www.g2.com/survey_responses/d-b-connect-review-12328160) --- **"[Flexibility to enable data governance and improve data quality for the business](https://www.g2.com/survey_responses/d-b-connect-review-12212327)"** **Rating:** 5.0/5.0 stars *— Avijit S.* [Read full review](https://www.g2.com/survey_responses/d-b-connect-review-12212327) --- #### What Are G2 Users Discussing About D&B Connect? - [What are the benefits of vitamin d3?](https://www.g2.com/discussions/what-are-the-benefits-of-vitamin-d3) - 1 upvote - [What happens when your vitamin D is low?](https://www.g2.com/discussions/what-happens-when-your-vitamin-d-is-low) - 1 upvote - [How do we get vitamin D?](https://www.g2.com/discussions/how-do-we-get-vitamin-d) - [What does vitamin D do?](https://www.g2.com/discussions/what-does-vitamin-d-do) ### 16. [AvePoint Confidence Platform](https://www.g2.com/products/avepoint-confidence-platform/reviews) AvePoint Confidence Platform is a software designed to unify data security, governance, and resilience to provide a trusted foundation for AI across enterprise cloud environments. The software provides lifecycle control, multicloud governance, rapid data recovery, and clear ownership management capabilities by leveraging integrations with Microsoft, Google, Salesforce, and other leading cloud platforms. It automates data protection and governance workflows and reduces overexposure, sprawl, and data loss through centralized policy enforcement and backup management. AvePoint Confidence Platform addresses the challenge of fragmented and legacy data environments by modernizing data governance and enabling rapid recovery through a single pane of glass. The software supports use cases including backup and restore, multicloud governance, AI readiness, and data loss prevention for more than 28,000 customers through a global ecosystem of approximately 6,000 MSPs, VARs, and SIs. **Average Rating:** 4.5/5.0 **Total Reviews:** 115 **How Do G2 Users Rate AvePoint Confidence Platform?** - **Ease of Use:** 9.1/10 (Category avg: 8.7/10) **Who Is the Company Behind AvePoint Confidence Platform?** - **Seller:** [AvePoint](https://www.g2.com/sellers/avepoint) - **Company Website:** https://www.avepoint.com/ - **Year Founded:** 2001 - **HQ Location:** Jersey City, NJ - **Twitter:** @AvePoint (9,747 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/46024/ (2,662 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 42% Mid-Market, 28% Small-Business #### What Are AvePoint Confidence Platform's Pros and Cons? **Pros:** - Ease of Use (63 reviews) - Cloud Backup (29 reviews) - Backup Frequency (25 reviews) - Security (25 reviews) - Easy Setup (22 reviews) **Cons:** - Expensive (12 reviews) - Backup Issues (10 reviews) - Poor Customer Support (9 reviews) - Slow Performance (9 reviews) - Technical Issues (9 reviews) ### What Do G2 Reviewers Say About AvePoint Confidence Platform? *AI-generated summary from verified user reviews* **Pros:** - Users find the **ease of implementation and administration** of AvePoint Confidence Platform a significant advantage for their needs. - Users value the **ease of use and comprehensive backup** features of AvePoint Confidence Platform for effortless cloud data management. - Users appreciate the **flexible backup frequency** options on AvePoint Confidence Platform, ensuring seamless data protection tailored to their needs. - Users value the **strong security and data protection** features of AvePoint Confidence Platform for comprehensive SaaS management. - Users value the **easy setup** of AvePoint Confidence Platform, facilitating smooth implementation and management. **Cons:** - Users find the **expensive licensing bundles** of AvePoint Confidence Platform challenging, especially with additional costs over time. - Users experience frustrating **backup issues** with inconsistent data restoration and sluggish performance due to frequent security scans. - Users experience **poor customer support** , with slow response times and difficulties in reaching out for assistance. - Users experience **slow performance** with data retrieval, making it challenging for new IT staff to navigate effectively. - Users report **technical issues** like incomplete backups and delayed notifications for connection errors impacting user experience. #### What Are Recent G2 Reviews of AvePoint Confidence Platform? **"[All-in-One SaaS Data Protection, Governance & Compliance Made Easy](https://www.g2.com/survey_responses/avepoint-confidence-platform-review-12348858)"** **Rating:** 5.0/5.0 stars *— Stefan N.* [Read full review](https://www.g2.com/survey_responses/avepoint-confidence-platform-review-12348858) --- **"[Reliable Backups and Seamless Restores](https://www.g2.com/survey_responses/avepoint-confidence-platform-review-12366631)"** **Rating:** 4.5/5.0 stars *— Josh U.* [Read full review](https://www.g2.com/survey_responses/avepoint-confidence-platform-review-12366631) --- #### What Are G2 Users Discussing About AvePoint Confidence Platform? - [What is AvePoint Cloud Backup used for?](https://www.g2.com/discussions/what-is-avepoint-cloud-backup-used-for) - 1 comment ### 17. [Quest erwin Data Intelligence](https://www.g2.com/products/quest-erwin-data-intelligence/reviews) Quest Data Intelligence ensures trusted data and AI models are easy to find, understand, govern, score and use across your enterprise. With Quest Data Intelligence, organizations reduce operational risk, ensure regulatory oversight, and improve trust in analytics and AI through a transparent, explainable data foundation. **Average Rating:** 4.3/5.0 **Total Reviews:** 31 **How Do G2 Users Rate Quest erwin Data Intelligence?** - **Roles Management:** 8.3/10 (Category avg: 8.8/10) - **Data Discovery:** 9.3/10 (Category avg: 8.7/10) - **Compliance Management:** 10.0/10 (Category avg: 8.9/10) - **Ease of Use:** 8.7/10 (Category avg: 8.7/10) **Who Is the Company Behind Quest erwin Data Intelligence?** - **Seller:** [Quest Software](https://www.g2.com/sellers/quest-software) - **Company Website:** https://www.quest.com - **Year Founded:** 1987 - **HQ Location:** Austin, TX - **Twitter:** @Quest (17,109 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2880/ (3,569 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services - **Company Size:** 35% Mid-Market, 35% Small-Business #### What Are Quest erwin Data Intelligence's Pros and Cons? **Pros:** - Compliance Management (1 reviews) - Data Discovery (1 reviews) - Data Lineage (1 reviews) - Metadata Management (1 reviews) **Cons:** - Expensive (1 reviews) - Outdated Design (1 reviews) - Poor Customer Support (1 reviews) - Poor Interface Design (1 reviews) - User Adoption Difficulty (1 reviews) ### What Do G2 Reviewers Say About Quest erwin Data Intelligence? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **strong end-to-end governance** that simplifies regulatory work and data hierarchy mapping. - Users value the **strong end-to-end governance** support in Quest erwin Data Intelligence, enhancing their regulatory workflows. - Users appreciate the **strong end-to-end governance** of Quest erwin Data Intelligence, enhancing regulatory mapping and data hierarchy clarity. - Users appreciate the **strong end-to-end governance** support, facilitating effective regulatory work and data hierarchy mapping. **Cons:** - Users find the **cost of Quest erwin Data Intelligence to be steep** , requiring significant investment for effective use. - Users feel the **outdated design** of Quest erwin Data Intelligence lacks a modern, clean interface compared to competitors. - Users find the **poor customer support** inadequate, making it challenging to maintain and utilize Quest erwin Data Intelligence effectively. - Users find the **poor interface design** of Quest erwin Data Intelligence less appealing compared to other tools available. - Users find the **user adoption difficulty** of Quest erwin Data Intelligence challenging, needing extensive support for effective use. #### What Are Recent G2 Reviews of Quest erwin Data Intelligence? **"[Centralized Data Catalog with Powerful Governance and Lineage Visibility](https://www.g2.com/survey_responses/quest-erwin-data-intelligence-review-12459932)"** **Rating:** 5.0/5.0 stars *— Swaroop W.* [Read full review](https://www.g2.com/survey_responses/quest-erwin-data-intelligence-review-12459932) --- **"[Intuitive UI, Powerful Data Governance and Automation.](https://www.g2.com/survey_responses/quest-erwin-data-intelligence-review-12911260)"** **Rating:** 4.5/5.0 stars *— Karansinh J.* [Read full review](https://www.g2.com/survey_responses/quest-erwin-data-intelligence-review-12911260) --- ### 18. [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews) Founded in France and rapidly expanding across Europe and the United States, DataGalaxy is trusted by over 200 global enterprises, including Dior, Airbus, and SwissLife. The company is committed to driving data culture and literacy by helping organizations deliver metadata to the agents and value to the people. The platform emphasizes the importance of metadata, ensuring that all stakeholders have access to the necessary context and information to make informed decisions. The platform features two primary products: DataGalaxy Catalog and DataGalaxy Portfolio. DataGalaxy Catalog serves as a comprehensive metadata repository, providing users with the context needed to build trust in their data assets while ensuring compliance with relevant regulations. This centralized hub allows organizations to manage their metadata efficiently, making it easier for teams to find, understand, and leverage data for strategic initiatives. On the other hand, DataGalaxy Portfolio acts as a value management tool that tracks the ROI impact of data and AI initiatives on business performance. It enables organizations to track and demonstrate the value created from their data investments, fostering alignment from C-level executives all the way through to business stakeholders. By visualizing the outcomes of data-driven projects, DataGalaxy Portfolio helps organizations prioritize their efforts and allocate resources effectively, ensuring that data initiatives are aligned with business objectives. Targeted towards enterprises looking to enhance their data governance and management practices, DataGalaxy is particularly beneficial for organizations operating in complex environments where data is abundant but underutilized. By integrating data governance with business strategy, DataGalaxy stands out in its category as a solution that not only addresses the technical aspects of data management but also emphasizes the human element of data utilization. This holistic approach ensures that organizations can maximize the value of their data assets while fostering collaboration across teams, ultimately driving better business outcomes. **Average Rating:** 4.8/5.0 **Total Reviews:** 63 **How Do G2 Users Rate DataGalaxy?** - **Roles Management:** 8.7/10 (Category avg: 8.8/10) - **Data Discovery:** 9.3/10 (Category avg: 8.7/10) - **Compliance Management:** 9.1/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.7/10) **Who Is the Company Behind DataGalaxy?** - **Seller:** [DataGalaxy](https://www.g2.com/sellers/datagalaxy) - **Company Website:** https://www.datagalaxy.com - **Year Founded:** 2015 - **HQ Location:** Lyon, Rhone-Alpes - **Twitter:** @DataGalaxy (864 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/datagalaxy/ (97 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Insurance, Banking - **Company Size:** 54% Enterprise, 43% Mid-Market #### What Are DataGalaxy's Pros and Cons? **Pros:** - Ease of Use (5 reviews) - Collaboration (3 reviews) - Integrations (3 reviews) - User Interface (3 reviews) - Accessibility (2 reviews) **Cons:** - User Interface Issues (3 reviews) - Limited Functionality (2 reviews) - User Difficulty (2 reviews) - Connector Issues (1 reviews) - Difficult Interface (1 reviews) ### What Do G2 Reviewers Say About DataGalaxy? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of DataGalaxy, enjoying seamless integration and user-friendly customization options. - Users value the **collaborative tool** features of DataGalaxy, enabling seamless teamwork and data sharing across teams. - Users value the **easy integrations** of DataGalaxy, seamlessly connecting with essential data tools and enhancing their infrastructure. - Users appreciate the **easy-to-use interface** of DataGalaxy, enhancing data visualization and collaboration seamlessly. - Users value the **accessibility** of DataGalaxy, ensuring all employees with a business email can easily access the tool. **Cons:** - Users find the **interface unintuitive** with various usability issues and a lack of matured functions. - Users feel the **limited capabilities** hinder policy management, but appreciate ongoing improvements from the Data Galaxy team. - Users find the **interface not intuitive** , struggling with immature functions and challenging metadata imports. - Users often face **connector issues** that make importing metadata challenging and frustrating. - Users find the **difficult interface** of DataGalaxy challenging, with some functions lacking maturity and consistency. #### What Are Recent G2 Reviews of DataGalaxy? **"[A comprehensive and accessible tool to strengthen governance and trust in data](https://www.g2.com/survey_responses/datagalaxy-review-12911659)"** **Rating:** 5.0/5.0 stars *— Jean C.* [Read full review](https://www.g2.com/survey_responses/datagalaxy-review-12911659) --- **"[Ergonomic Business Tool around data knowledge and excellent publisher support](https://www.g2.com/survey_responses/datagalaxy-review-11878399)"** **Rating:** 5.0/5.0 stars *— Maurice L.* [Read full review](https://www.g2.com/survey_responses/datagalaxy-review-11878399) --- ### 19. [Atlan](https://www.g2.com/products/atlan/reviews) Atlan is the context layer for enterprise AI. It continuously reads your warehouses, databases, pipelines, BI tools, and business systems to reverse construct an enterprise data graph that captures assets, lineage, entities, metrics, policies, and relationships. On top of that graph, it enriches and curates machine-readable semantics — descriptions, popular joins, KPI and metric definitions, ontologies, and business rules — and organizes them into governed, versioned context repos: bounded bundles of context that reflect how your company defines key concepts and makes decisions. These context repos are then exposed through open interfaces (SQL, APIs, SDKs, OSI/MCP-style protocols) so that agents, copilots, and AI applications can call the same trusted context in real time, rather than each team hard-coding its own logic. Human-on-the-loop governance workflows for conflict resolution, deprecation, feedback, and certification keep that context trustworthy as the business, data, and models evolve. **Average Rating:** 4.5/5.0 **Total Reviews:** 131 **How Do G2 Users Rate Atlan?** - **Roles Management:** 8.7/10 (Category avg: 8.8/10) - **Data Discovery:** 9.5/10 (Category avg: 8.7/10) - **Compliance Management:** 8.5/10 (Category avg: 8.9/10) - **Ease of Use:** 8.9/10 (Category avg: 8.7/10) **Who Is the Company Behind Atlan?** - **Seller:** [Atlan](https://www.g2.com/sellers/atlan) - **Company Website:** https://www.atlan.com - **Year Founded:** 2019 - **HQ Location:** New York, US - **Twitter:** @AtlanHQ (9,804 Twitter followers) - **LinkedIn® Page:** https://in.linkedin.com/company/atlan-hq (558 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Information Technology and Services - **Company Size:** 52% Mid-Market, 41% Enterprise #### What Are Atlan's Pros and Cons? **Pros:** - Ease of Use (7 reviews) - Features (6 reviews) - Collaboration (5 reviews) - Data Cataloging (5 reviews) - Easy Setup (4 reviews) **Cons:** - Integration Issues (4 reviews) - Dependency Issues (3 reviews) - Limited Customization (3 reviews) - Technical Issues (3 reviews) - User Interface Issues (3 reviews) ### What Do G2 Reviewers Say About Atlan? *AI-generated summary from verified user reviews* **Pros:** - Users praise Atlan for its **ease of use** , making data collaboration seamless and accessible for everyone. - Users value Atlan’s **great data discovery features** and smooth collaboration, significantly enhancing their data management experience. - Users value Atlan's **seamless data collaboration** , making it easy to share, understand, and trust their data. - Users appreciate the **exceptional data cataloging** features of Atlan, enhancing data discovery and collaboration effortlessly. - Users appreciate the **easy setup** of Atlan, enabling a seamless integration and efficient collaboration on data. **Cons:** - Users face **integration issues** with Teams and other databases, hindering streamlined workflows and requests. - Users experience **dependency issues** with Atlan, limiting its value due to vulnerabilities and lack of integrations. - Users express concerns over **limited customization** options in Atlan, hindering adaptation to unique team workflows. - Users experience **slow technical support** and occasional inaccuracies in issue resolution, affecting overall satisfaction with Atlan. - Users face **user interface issues** with limited customization, technical navigation, and challenges in usability for business users. #### What Are Recent G2 Reviews of Atlan? **"[Helpful UI, Flexible Data Model, and Great API](https://www.g2.com/survey_responses/atlan-review-12518328)"** **Rating:** 4.0/5.0 stars *— Verified User in Health, Wellness and Fitness* [Read full review](https://www.g2.com/survey_responses/atlan-review-12518328) --- **"[Outstanding AI Features, Easy UI, and a Truly Responsive Atlan Team](https://www.g2.com/survey_responses/atlan-review-12721177)"** **Rating:** 4.5/5.0 stars *— Verified User in Apparel & Fashion* [Read full review](https://www.g2.com/survey_responses/atlan-review-12721177) --- ### 20. [ILUM](https://www.g2.com/products/ilum-ilum/reviews) Ilum: A Data Platform Built by Data Engineers, for Data Engineers Ilum is a Data Lakehouse platform that unifies data management, distributed processing, analytics, and AI workflows for AI engineers, data engineers, data scientists, and analysts. It belongs to the Data Platform, Data Lakehouse, and Data Engineering software categories and supports flexible deployment across cloud, on-premise, and hybrid environments. Ilum enables technical teams to build, operate, and scale modern data infrastructure using open standards. It integrates tools for batch processing, stream processing, notebook-based exploration, workflow orchestration, and business intelligence, All In a Single Platform. Ilum supports modern open table formats like Delta Lake, Apache Iceberg, Apache Hudi, and Apache Paimon. It also offers native integration with Apache Spark and Trino for compute, with Apache Flink support currently in development. Key features include: - SQL Editor: Query Delta, Iceberg, Hudi, or Spark SQL with autocomplete, result previews, and metadata inspection. - Data Lineage & Catalog: Visualize data flow using OpenLineage and explore datasets through a searchable Data Catalog. - Notebook Integration: Use built-in Jupyter notebooks pre-wired to Spark, metadata, and your data environment for exploration or modeling. - Spark Job Management: Submit, monitor, and debug Spark jobs with integrated logs, metrics, scheduling, and a built-in Spark History Server. - Trino Support: Run federated queries across multiple data sources using Trino directly from within Ilum. - Declarative Pipelines: Define repeatable ETL and analytics pipelines, with dependency tracking and recovery logic. - Automatic ERD Diagrams: Instantly generate ER diagrams from schemas to aid in data understanding and onboarding. - ML Experimentation & Tracking: Includes MLflow for managing experiments, tracking parameters, metrics, and artifacts, fully integrated with notebooks and data pipelines to streamline model development workflows. - AI Integration & Deployment: Supports both classical ML and modern AI use cases, including GenAI workflows, vector search, and embedding-based applications. Models can be registered, versioned, and deployed for inference within declarative pipelines. - Built-in AI Agent Interface: Ilum integrates, providing a GPT-style interface to interact with your data, trigger pipelines, generate SQL, or explore metadata using natural language, bringing GenAI capabilities directly into your data platform. - BI Dashboards: Native support for Apache Superset, with JDBC integration for Tableau, Power BI, and other BI tools. Additional highlights: - Multi-Cluster Management: Connect multiple Spark or Kubernetes clusters to scale and isolate workloads. - Fine-Grained Access Control: LDAP, OAuth2, and Hydra integration for secure, role-based access. - Hybrid Ready: Designed to replace Databricks or Cloudera in environments where cloud adoption is partial, regulated, or not possible. **Average Rating:** 4.9/5.0 **Total Reviews:** 23 **How Do G2 Users Rate ILUM?** - **Roles Management:** 10.0/10 (Category avg: 8.8/10) - **Data Discovery:** 10.0/10 (Category avg: 8.7/10) - **Compliance Management:** 10.0/10 (Category avg: 8.9/10) - **Ease of Use:** 9.3/10 (Category avg: 8.7/10) **Who Is the Company Behind ILUM?** - **Seller:** [Ilum](https://www.g2.com/sellers/ilum) - **Company Website:** https://ilum.cloud/ - **Year Founded:** 2019 - **HQ Location:** Santa Fe, US - **Twitter:** @IlumCloud (19 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/ilum-cloud/ (4 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Telecommunications - **Company Size:** 52% Enterprise, 35% Mid-Market #### What Are ILUM's Pros and Cons? **Pros:** - Ease of Use (17 reviews) - Features (17 reviews) - Integrations (17 reviews) - Setup Ease (16 reviews) - Easy Integrations (15 reviews) **Cons:** - Complex Setup (9 reviews) - Difficult Setup (9 reviews) - Learning Curve (9 reviews) - UX Improvement (8 reviews) - Complexity (7 reviews) ### What Do G2 Reviewers Say About ILUM? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of ILUM, enjoying its intuitive interface and straightforward deployments for Spark workloads. - Users value the **user-friendly interface** of ILUM, which simplifies managing Spark workloads and enhances productivity. - Users praise ILUM for its **smooth integration** with existing systems, enhancing workflows and simplifying data management effectively. - Users appreciate the **setup ease** of ILUM, reporting quick deployment and a user-friendly interface for seamless operation. - Users value the **easy integrations** of ILUM, enhancing efficiency and simplifying workflows within existing systems. **Cons:** - Users find the **complex setup** of ILUM challenging, needing more guidance on advanced configuration and integration. - Users find the **difficult setup** of ILUM challenging, particularly with initial configurations and advanced features integration. - Users find a **steep learning curve** with ILUM's advanced features and custom setup, needing time to adjust. - Users find the **UI sometimes unintuitive** , especially for advanced configurations and specific workflows within ILUM. - Users find some features of ILUM to have **hidden complexity** , requiring extra effort to configure effectively. #### What Are Recent G2 Reviews of ILUM? **"[From Hadoop to K8s with lower TCO](https://www.g2.com/survey_responses/ilum-review-11862422)"** **Rating:** 5.0/5.0 stars *— Mark D.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11862422) --- **"[Seamless Integration and Unified Features for Advanced Users](https://www.g2.com/survey_responses/ilum-review-11904273)"** **Rating:** 5.0/5.0 stars *— Jan L.* [Read full review](https://www.g2.com/survey_responses/ilum-review-11904273) --- ### 21. [Informatica Cloud Data Governance and Catalog](https://www.g2.com/products/informatica-cloud-data-governance-and-catalog/reviews) Informatica Cloud Data Governance and Catalog is a comprehensive, cloud-native solution designed to empower organizations with predictive data intelligence. By integrating data discovery, cataloging, governance, and lineage capabilities, it enables businesses to find, understand, trust, and access their data assets efficiently. This unified approach simplifies collaboration between technical and business teams, ensuring that data-driven decisions are based on accurate and trustworthy information. With AI-powered automation, the platform enhances data classification, curation, and quality management, facilitating faster and more reliable analytic insights. By providing a holistic view of data relationships and lineage, Informatica Cloud Data Governance and Catalog helps organizations turn their data into a competitive advantage. Key Features and Functionality: - Automated Data Discovery and Classification: Utilizes AI to automatically find, classify, and inventory critical data across cloud and on-premises environments. - Comprehensive Data Cataloging: Creates a centralized repository of data assets, linking technical metadata with business context for enhanced understanding. - End-to-End Data Lineage: Provides visual representations of data flow and transformations, enabling users to trace data origins and assess impact. - Integrated Data Quality Management: Monitors and ensures data quality through profiling, validation, and cleansing processes. - Collaboration and Social Curation: Facilitates teamwork by allowing users to share insights, certify data assets, and engage in discussions through comments and ratings. - AI Model Governance: Manages and governs AI models alongside data, ensuring compliance and trust in AI-driven decisions. Primary Value and Problem Solved: Informatica Cloud Data Governance and Catalog addresses the critical need for organizations to manage and govern their data assets effectively in an increasingly complex data landscape. By providing a unified platform that automates data discovery, classification, and quality management, it ensures that businesses can trust their data for decision-making. The solution enhances collaboration between technical and business users, linking technical metadata with business context to provide a holistic view of data assets. This comprehensive approach not only accelerates the delivery of reliable analytic insights but also ensures compliance with data governance policies, ultimately turning data into a strategic asset that drives innovation and competitive advantage. **Average Rating:** 4.3/5.0 **Total Reviews:** 14 **How Do G2 Users Rate Informatica Cloud Data Governance and Catalog?** - **Roles Management:** 8.3/10 (Category avg: 8.8/10) - **Data Discovery:** 8.7/10 (Category avg: 8.7/10) - **Compliance Management:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 8.5/10 (Category avg: 8.7/10) **Who Is the Company Behind Informatica Cloud Data Governance and Catalog?** - **Seller:** [Informatica](https://www.g2.com/sellers/informatica) - **Year Founded:** 1993 - **HQ Location:** Redwood City, CA - **Twitter:** @Informatica (99,643 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3858/ (2,802 employees on LinkedIn®) - **Ownership:** NYSE: INFA **Who Uses This Product?** - **Company Size:** 50% Enterprise, 43% Small-Business #### What Are Informatica Cloud Data Governance and Catalog's Pros and Cons? **Pros:** - Data Governance (1 reviews) **Cons:** - Integration Issues (1 reviews) ### What Do G2 Reviewers Say About Informatica Cloud Data Governance and Catalog? *AI-generated summary from verified user reviews* **Pros:** - Users value the **automatic discovery and cataloging** features of Informatica Cloud, enhancing data governance and trust across environments. **Cons:** - Users face **integration issues** due to complex setup and governance design, especially in large enterprises with diverse data sources. #### What Are Recent G2 Reviews of Informatica Cloud Data Governance and Catalog? **"[Increase data security & data quality](https://www.g2.com/survey_responses/informatica-cloud-data-governance-and-catalog-review-7917135)"** **Rating:** 4.5/5.0 stars *— Yogesh K.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-governance-and-catalog-review-7917135) --- **"[Data governance is must for every organisation growth](https://www.g2.com/survey_responses/informatica-cloud-data-governance-and-catalog-review-7944534)"** **Rating:** 5.0/5.0 stars *— Prakash U.* [Read full review](https://www.g2.com/survey_responses/informatica-cloud-data-governance-and-catalog-review-7944534) --- ### 22. [MineOS](https://www.g2.com/products/mineos/reviews) MineOS is the highest-rated data privacy and risk management platform on G2, introducing a new operating model: Autonomous Privacy. Designed for the modern enterprise, MineOS uses AI agents to continuously orchestrate privacy and risk operations across your entire ecosystem. From system discovery and data classification to DSR fulfillment, assessment autofill, and transfer tracking, agents run the work behind your privacy program, keeping your data inventory accurate and your risk continuously monitored. As your environment evolves, agents stay ahead - detecting changes, updating records, and triggering workflows automatically. Deploy in days, not months, and move from manual operations to a program that runs continuously, so your team can focus on high-impact strategy. Visit us at 👉 https://MineOS.ai **Average Rating:** 4.8/5.0 **Total Reviews:** 229 **How Do G2 Users Rate MineOS?** - **Roles Management:** 9.0/10 (Category avg: 8.8/10) - **Data Discovery:** 9.7/10 (Category avg: 8.7/10) - **Compliance Management:** 9.6/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.7/10) **Who Is the Company Behind MineOS?** - **Seller:** [Mine ](https://www.g2.com/sellers/mine-ca70aab6-39c8-4cc6-b265-c48ff04701ac) - **Company Website:** https://www.MineOS.ai - **Year Founded:** 2019 - **HQ Location:** 94 Yigal Alon st., Alon 1 Tower, Tel Aviv 6789155, Israel - **Twitter:** @SayMineTech (1,344 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/mineos (146 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Product Manager - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 49% Mid-Market, 28% Small-Business #### What Are MineOS's Pros and Cons? **Pros:** - Customer Support (20 reviews) - Ease of Use (18 reviews) - Automation (15 reviews) - Problem Solving (15 reviews) - Privacy Management (13 reviews) **Cons:** - Integration Issues (5 reviews) - Limited Customization (3 reviews) - Poor Interface Design (3 reviews) - Time-Consuming (3 reviews) - User Difficulty (3 reviews) ### What Do G2 Reviewers Say About MineOS? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **outstanding customer support** of MineOS, noting responsiveness and helpfulness from the team. - Users find MineOS to be **easy to use** , streamlining the management of Data Subject Requests efficiently and effectively. - Users appreciate the **easy automation** features of MineOS, streamlining tasks and enhancing efficiency with great support. - Users appreciate the **ease of automating data subject requests** with MineOS, transforming a tedious process into an almost effortless task. - Users value the **comprehensive privacy management** capabilities of MineOS, ensuring efficient compliance and robust support. **Cons:** - Users face **integration issues** with MineOS, impacting setup and limiting customization options for third-party tools. - Users express that **limited customization** in MineOS hampers functionality, suggesting a need for improved flexibility and options. - Users find the **interface design poor** , as it lacks intuitiveness and increases the effort required for tasks. - Users find the **time-consuming process** of customizing privacy forms and navigating the interface frustrating and inefficient. - Users find the **user experience challenging** , often encountering a cumbersome interface that requires excessive clicks for tasks. #### What Are Recent G2 Reviews of MineOS? **"[Effortless Data Management with Excellent Support](https://www.g2.com/survey_responses/mineos-review-8792484)"** **Rating:** 4.0/5.0 stars *— Nila J.* [Read full review](https://www.g2.com/survey_responses/mineos-review-8792484) --- **"[Automated DSR Handling and PII Detection That Makes Compliance Easy](https://www.g2.com/survey_responses/mineos-review-12676623)"** **Rating:** 4.0/5.0 stars *— Prabhaditya P.* [Read full review](https://www.g2.com/survey_responses/mineos-review-12676623) --- #### What Are G2 Users Discussing About MineOS? - [What is Mine PrivacyOps used for?](https://www.g2.com/discussions/what-is-mine-privacyops-used-for) - 1 comment ### 23. [Orchestry](https://www.g2.com/products/orchestry/reviews) Orchestry is a Microsoft 365 management and automation platform that accelerates cost savings, storage reduction, sprawl prevention and risk remediation. Our platform is purpose-built with an emphasis on user experience and actionability so you can implement and start making an impact in days, not weeks. Orchestry streamlines workspace provisioning and lifecycle management, automates manual governance tasks, identifies and prioritizes potential risks, and consolidates data into centralized reports and dashboards. It goes beyond native capabilities so you can get control of your tenant, prevent future issues, scale with confidence, and get ready for AI fast. **Average Rating:** 4.8/5.0 **Total Reviews:** 103 **How Do G2 Users Rate Orchestry?** - **Roles Management:** 9.4/10 (Category avg: 8.8/10) - **Data Discovery:** 8.7/10 (Category avg: 8.7/10) - **Compliance Management:** 9.4/10 (Category avg: 8.9/10) - **Ease of Use:** 9.5/10 (Category avg: 8.7/10) **Who Is the Company Behind Orchestry?** - **Seller:** [Orchestry Software Inc.](https://www.g2.com/sellers/orchestry-software-inc) - **Company Website:** https://www.orchestry.com/ - **Year Founded:** 2020 - **HQ Location:** Vancouver, British Columbia - **Twitter:** @OrchestrySoft (459 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/orchestry (43 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Senior Consultant - **Top Industries:** Information Technology and Services, Consulting - **Company Size:** 42% Mid-Market, 42% Small-Business #### What Are Orchestry's Pros and Cons? **Pros:** - Ease of Use (14 reviews) - Time-saving (8 reviews) - User Interface (7 reviews) - Workflow Management (7 reviews) - Automation (6 reviews) **Cons:** - Steep Learning Curve (5 reviews) - Difficult Setup (4 reviews) - Poor UI (4 reviews) - Setup Difficulty (4 reviews) - User Difficulty (4 reviews) ### What Do G2 Reviewers Say About Orchestry? *AI-generated summary from verified user reviews* **Pros:** - Users love the **ease of use** of Orchestry, enhancing productivity through simple interfaces and standardized templates. - Users appreciate the **time-saving features** of Orchestry, enhancing efficiency and simplifying SharePoint administration. - Users appreciate the **intuitive and user-friendly interface** of Orchestry, enhancing navigation and simplifying their tasks. - Users appreciate the **standardized communication flows** in Orchestry, simplifying complex processes and enhancing project management. - Users value the **automation of workspace provisioning** in Orchestry, streamlining processes and reducing IT burdens significantly. **Cons:** - Users find the **steep learning curve** of Orchestry challenging, requiring dedicated time to master its features. - Users find the **difficult setup** of Orchestry challenging, citing an overwhelming initial experience for new users. - Users criticize the **poor UI** of Orchestry, expressing a need for a more intuitive and user-friendly experience. - Users find the **initial setup difficult** and note a steep learning curve for new users trying to customize. - Users find the **initial setup challenging** , requiring significant time and effort to learn and customize effectively. #### What Are Recent G2 Reviews of Orchestry? **"[Excellent UI That Streamlines M365 Governance and Site Adoption](https://www.g2.com/survey_responses/orchestry-review-12872705)"** **Rating:** 4.5/5.0 stars *— Verified User in Transportation/Trucking/Railroad* [Read full review](https://www.g2.com/survey_responses/orchestry-review-12872705) --- **"[Orchestry Tames Microsoft 365 Sprawl with Smart Governance and Self-Service](https://www.g2.com/survey_responses/orchestry-review-12865012)"** **Rating:** 5.0/5.0 stars *— Matt B.* [Read full review](https://www.g2.com/survey_responses/orchestry-review-12865012) --- ### 24. [Satori Data Security Platform](https://www.g2.com/products/satori-data-security-platform/reviews) Satori is a Data Security Platform (DSP) that enables self-service data and analytics. Unlike the traditional manual data access process, with Satori, users have a personal data portal where they can see all available datasets and gain immediate access to them. Satori’s DSP dynamically applies the appropriate security and access policies, and the users get secure data access in seconds instead of weeks. Satori’s comprehensive DSP manages access, permissions, security, and compliance policies - all from a single console. Satori continuously discovers sensitive data across data stores and dynamically tracks data usage while applying relevant security policies. Satori enables data teams to scale effective data usage across the organization while meeting all data security and compliance requirements. **Average Rating:** 4.7/5.0 **Total Reviews:** 88 **How Do G2 Users Rate Satori Data Security Platform?** - **Roles Management:** 9.7/10 (Category avg: 8.8/10) - **Data Discovery:** 9.7/10 (Category avg: 8.7/10) - **Compliance Management:** 9.5/10 (Category avg: 8.9/10) - **Ease of Use:** 9.2/10 (Category avg: 8.7/10) **Who Is the Company Behind Satori Data Security Platform?** - **Seller:** [Commvault](https://www.g2.com/sellers/commvault) - **Company Website:** https://www.commvault.com - **Year Founded:** 1996 - **HQ Location:** Eatontown, New Jersey, United States - **Twitter:** @Commvault (64,666 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/163166/ (3,496 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Software Engineer - **Top Industries:** Computer Software, Computer & Network Security - **Company Size:** 55% Mid-Market, 25% Enterprise #### What Are Satori Data Security Platform's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Security (14 reviews) - Access Control (13 reviews) - Data Protection (11 reviews) - Features (11 reviews) **Cons:** - Complexity (7 reviews) - Complexity Management (5 reviews) - Slow Performance (5 reviews) - Expensive (4 reviews) - Improvement Needed (4 reviews) ### What Do G2 Reviewers Say About Satori Data Security Platform? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** with Satori Data Security Platform, appreciating its straightforward setup and user-friendly interface. - Users appreciate the **clear visibility and automated controls** of Satori, enhancing data security and compliance effortlessly. - Users value the **clear access control** features of Satori, providing visibility without disrupting routine workflows. - Users value the **granular data access control** in Satori, enhancing data security and compliance effortlessly. - Users find the **robust features** of Satori Data Security Platform enhance data governance and streamline auditing efficiently. **Cons:** - Users face a **high learning curve** with the Satori Data Security Platform, which may hinder small teams' effectiveness. - Users report **high complexity** in setup and limited customization, making it challenging for smaller teams to adapt. - Users have noted **slow performance** during large queries, impacting efficiency at times, especially under high data loads. - Users note the **expensive pricing** of Satori Data Security Platform, making it less accessible for smaller teams. - Users indicate that **improvement is needed** in Satori Data Security Platform's resource management and AI accuracy. #### What Are Recent G2 Reviews of Satori Data Security Platform? **"[Helps keep our data secure and accessible without headaches](https://www.g2.com/survey_responses/satori-data-security-platform-review-11852105)"** **Rating:** 4.5/5.0 stars *— MUHAMMED A.* [Read full review](https://www.g2.com/survey_responses/satori-data-security-platform-review-11852105) --- **"[Secure access and Audit of databases](https://www.g2.com/survey_responses/satori-data-security-platform-review-6790373)"** **Rating:** 4.5/5.0 stars *— Pradeep G.* [Read full review](https://www.g2.com/survey_responses/satori-data-security-platform-review-6790373) --- ### 25. [erwin Data Modeler](https://www.g2.com/products/quest-software-erwin-data-modeler/reviews) Part of the Quest erwin Data Management Platform, delivering industry-leading enterprise data modeling. erwin Data Modeler provides the blueprints for trusted data. Integrated with erwin Data Intelligence, it connects models to governed metadata and business context - ensuring that what’s delivered in production matches the design, so data products are accurate, governed, and AI-ready. **Average Rating:** 4.2/5.0 **Total Reviews:** 108 **How Do G2 Users Rate erwin Data Modeler?** - **Roles Management:** 8.0/10 (Category avg: 8.8/10) - **Data Discovery:** 8.1/10 (Category avg: 8.7/10) - **Compliance Management:** 9.3/10 (Category avg: 8.9/10) - **Ease of Use:** 8.4/10 (Category avg: 8.7/10) **Who Is the Company Behind erwin Data Modeler?** - **Seller:** [Quest Software](https://www.g2.com/sellers/quest-software) - **Company Website:** https://www.quest.com - **Year Founded:** 1987 - **HQ Location:** Austin, TX - **Twitter:** @Quest (17,109 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/2880/ (3,569 employees on LinkedIn®) **Who Uses This Product?** - **Who Uses This:** Data Engineer - **Top Industries:** Information Technology and Services, Computer Software - **Company Size:** 41% Small-Business, 37% Mid-Market #### What Are erwin Data Modeler's Pros and Cons? **Pros:** - Ease of Use (3 reviews) - Collaboration (2 reviews) - Data Discovery (1 reviews) - Data Governance (1 reviews) - Data Management (1 reviews) **Cons:** - Expensive (2 reviews) - Complexity (1 reviews) - Difficult Interface (1 reviews) - Limited Customization (1 reviews) - Outdated Design (1 reviews) ### What Do G2 Reviewers Say About erwin Data Modeler? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of erwin Data Modeler, enhancing collaboration and simplifying complex data visualization. - Users value the **ease of collaboration** in erwin Data Modeler, which enhances understanding between technical and business teams. - Users appreciate the **clear design and visualization** capabilities of erwin Data Modeler for complex database structures. - Users value the **ease of use for data governance** in erwin Data Modeler, facilitating collaboration and compliance effortlessly. - Users value the **robust data management capabilities** of erwin Data Modeler, enhancing their data handling across various platforms. **Cons:** - Users are concerned about the **high licensing cost** of erwin Data Modeler, leading many to seek alternative tools. - Users find the **complexity** of erwin Data Modeler can hinder new users and slow down performance with large models. - Users find the **difficult interface** of erwin Data Modeler challenging, especially for those new to data modeling. - Users find **limited customization** in erwin Data Modeler, which hinders their ability to tailor the tool to specific needs. - Users find the **interface outdated** , making it challenging for newcomers to adapt to erwin Data Modeler effectively. #### What Are Recent G2 Reviews of erwin Data Modeler? **"[Intuitive Data Modeling with Powerful Forward/Reverse Engineering](https://www.g2.com/survey_responses/erwin-data-modeler-review-13077571)"** **Rating:** 4.0/5.0 stars *— Prerak S.* [Read full review](https://www.g2.com/survey_responses/erwin-data-modeler-review-13077571) --- **"[A Serious, Professional Data Modeling Tool That Keeps Docs and Design Aligned](https://www.g2.com/survey_responses/erwin-data-modeler-review-12949097)"** **Rating:** 4.5/5.0 stars *— Dmitry A.* [Read full review](https://www.g2.com/survey_responses/erwin-data-modeler-review-12949097) --- #### What Are G2 Users Discussing About erwin Data Modeler? - [How much does Erwin Data Modeler cost?](https://www.g2.com/discussions/how-much-does-erwin-data-modeler-cost) - [What software is used for data Modelling?](https://www.g2.com/discussions/what-software-is-used-for-data-modelling) - [What does a data modeler program do?](https://www.g2.com/discussions/what-does-a-data-modeler-program-do) - [What is Erwin Data Modeler used for?](https://www.g2.com/discussions/what-is-erwin-data-modeler-used-for) ## What Is Data Governance Tools? [IT Management Software](https://www.g2.com/categories/it-management) ## What Software Categories Are Similar to Data Governance Tools? - [Data Quality Tools](https://www.g2.com/categories/data-quality) - [ETL Tools](https://www.g2.com/categories/etl-tools) - [Machine Learning Data Catalog Software](https://www.g2.com/categories/machine-learning-data-catalog) - [Sensitive Data Discovery Software](https://www.g2.com/categories/sensitive-data-discovery) - [Data Fabric Software](https://www.g2.com/categories/data-fabric) - [DataOps Platforms](https://www.g2.com/categories/dataops-platforms) - [Active Metadata Management Software](https://www.g2.com/categories/active-metadata-management) --- ## How Do You Choose the Right Data Governance Tools? ### What You Should Know About Data Governance Tools ### Data governance software buying insights at a glance [Data governance tools](https://www.g2.com/categories/data-governance-tools) help organizations **define, manage, and control how data is accessed and used** across systems. These platforms provide capabilities such as metadata management, lineage tracking, policy enforcement, and access governance, enabling teams to trust the data powering analytics, AI initiatives, and business decisions. As companies generate and store more data across cloud warehouses, applications, and operational systems, data governance software has become critical for maintaining data reliability, compliance, and responsible data usage. Organizations typically adopt these tools to address fragmented data environments, unclear data ownership, and inconsistent definitions across departments. Review feedback frequently highlights benefits such as improved visibility into enterprise data, stronger control over sensitive information, and better collaboration between technical and business teams. Many companies also use data governance platforms to document lineage, enforce governance policies, and standardize data quality across analytics pipelines.  When evaluating the best data governance software, buyers often focus on usability, governance automation, metadata discovery, and integrations with modern data infrastructure. Pricing for these solutions varies based on deployment scale, number of connected data sources, and governance capabilities required. Most enterprise vendors offer custom pricing models, with costs influenced by data volume, governance modules, and user access. Advanced features such as automated lineage discovery, AI-driven governance insights, and cross-system policy enforcement may also impact pricing. ### Top 5 FAQs from software buyers - How do data governance tools help organizations track data lineage and ownership? - Which data governance platforms integrate best with modern [data warehouses](https://www.g2.com/categories/data-warehouse) and data lakes? - What capabilities should teams look for when evaluating the best data governance software? - How difficult is it to implement data governance software across multiple business systems? - What security and compliance features do leading data governance solutions provide? G2’s top-rated data governance software, based on verified reviews, includes [Databricks](https://www.g2.com/products/databricks/reviews), [Domo](https://www.g2.com/products/domo/reviews), [Egnyte](https://www.g2.com/products/egnyte/reviews), [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews), and [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews). ### What are the top-reviewed data governance tools on G2? [Databricks](https://www.g2.com/products/databricks/reviews) - Number of Reviews: 423 - Satisfaction: 100 - Market Presence: 97 - G2 Score: 98 [Domo](https://www.g2.com/products/domo/reviews) - Number of Reviews: 680 - Satisfaction: 96 - Market Presence: 83 - G2 Score: 89 [Egnyte](https://www.g2.com/products/egnyte/reviews) - Number of Reviews: 358 - Satisfaction: 91 - Market Presence: 73 - G2 Score: 82 [SAP Master Data Governance (MDG)](https://www.g2.com/products/sap-master-data-governance-mdg/reviews) - Number of Reviews: 166 - Satisfaction: 61 - Market Presence: 88 - G2 Score: 74 [IBM watsonx.data](https://www.g2.com/products/ibm-watsonx-data/reviews) - Number of Reviews: 72 - Satisfaction: 49 - Market Presence: 99 - G2 Score: 74 **Satisfaction** reflects user-reported ratings, including ease of use, support, and feature fit. ([Source 2](https://www.g2.com/reports)) **Market Presence** scores combine review and external signals that indicate market momentum and footprint. ([Source 2](https://www.g2.com/reports)) **G2 Score** is a weighted composite of Satisfaction and Market Presence. ([Source 2](https://www.g2.com/reports)) Learn how G2 scores products. ([Source 1](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5vlk6s*_gcl_au*MTAwMzU5MzUxLjE3NjM0MTg0NzYuNjY0NTIxMTY0LjE3NjQ2MTc0NzcuMTc2NDYxNzQ3Nw..*_ga*NzY1MDU0NjE3LjE3NjM0NzQ3ODM.*_ga_MFZ5NDXZ5F*czE3NjYwODk1MTMkbzY3JGcxJHQxNzY2MDkyMjQyJGo1NyRsMCRoMA..)) ### What I Often See in Data Governance Tools #### Feedback Pros: What Users Consistently Appreciate • **Centralized metadata catalog improves enterprise-wide data discovery and visibility** **_“_** _I use IBM watsonx.data primarily for training my AI models, and it significantly aids me in my learning purposes. The standout feature for me is its reliability, which provides governed, high-performance, and consistent access to data across hybrid environments. The platform's ability to use open formats along with robust metadata management is a huge advantage. I appreciate that I can access data from anywhere in a very hassle-free manner, which solves a common problem for me because, in my experience, similar models tend to require a lot of information, making them ultimately unusable. These aspects make IBM watsonx.data an excellent tool for my requirements.”_ - [IBM watsonx.data review](https://www.g2.com/products/ibm-watsonx-data/reviews/ibm-watsonx-data-review-11961573), Aman K. • **Granular access controls strengthen governance over sensitive enterprise datasets** _“Egnyte is a powerful and versatile platform for secure file storage, sharing, and collaboration. Its hybrid cloud capabilities make it especially valuable for organizations with both on-premise and remote work needs, allowing seamless access to files without sacrificing speed or security. The interface is clean and intuitive, making it easy for end users to navigate, while IT teams benefit from granular permission controls, robust auditing, and strong compliance features (HIPAA, GDPR, etc.)._ _Performance is strong for both local and remote access, and integration with Microsoft 365, Google Workspace, and other third-party apps is smooth. Mobile access is also reliable, enabling productivity on the go.”_ - [Egnyte review](https://www.g2.com/products/egnyte/reviews/egnyte-review-11539262), Kevin H. • **Automated lineage tracking improves transparency across complex data pipelines** _“This is an end-to-end platform that begins with flexible onboarding of data from multiple sources, followed by processing through a medallion architecture. The Unity Catalog is used for governance, cataloging, and tracking data lineage. Databricks SQL serves as the endpoint for use cases such as business intelligence, as well as downstream integration through API endpoints.”_ - [Databricks review](https://www.g2.com/products/databricks/reviews/databricks-review-12188497), Awadhesh P. #### Cons: Where Many Platforms Fall Short • **Initial implementation requires coordination across multiple technical teams** _“The initial setup and learning curve could be improved. There are a lot of concepts that teams need to understand upfront, and the onboarding is configuration-heavy. Setting up workflows, defining roles, and mapping the stages need some effort and research. It's not a plug-and-play kind of system.”_ - [IBM watsonx.governance review](https://www.g2.com/products/ibm-watsonx-governance/reviews/ibm-watsonx-governance-review-12095595) Vineet B.  • **User interface complexity when navigating advanced governance features** _“While SAP MDG is powerful, its initial configuration and customization can be complex and time-consuming, especially for organizations with unique data models or non-standard processes. The user interface, although improving, can still feel less intuitive compared to modern low-code tools, which sometimes slows down adoption for business users. That said, once the framework is set up, the benefits in data quality and governance outweigh the learning curve.”_ - [SAP Master Data Governance (MDG) review](https://www.g2.com/products/sap-master-data-governance-mdg/reviews/sap-master-data-governance-mdg-review-11530171), Guillaume H. • **Customization limitations when adapting governance frameworks to unique workflows** _“The one aspect of Domo that I find could use improvement is the out-of-the-box visualizations. While they are good, they tend to be a bit basic in terms of their default configurations. Unlike Power BI, which offers highly customizable visualizations, Domo's default options don't always allow for fine-tuning to the extent I desire. Although creating custom visualizations is possible, it often requires coding, which demands time and effort I'm reluctant to spend. Additionally, I wish there were more robust security around app pages in Domo. This feature is relatively new in Domo, and while I expect it to improve over time, currently it lacks some security measures I'd prefer.”_ - [Domo review](https://www.g2.com/products/domo/reviews/domo-review-11990877), Zac P. ### My Expert Takeaway on Data Governance Tools in 2026 Based on the G2 review dataset, data governance tools show strong overall satisfaction signals, with an **average rating of 4.44/5 across 294 reviews and 49 products**. Reviewers consistently highlight strong performance across areas such as feature fit, usability, support quality, and overall recommendation intent. This pattern suggests that teams often realize value once governance workflows and data connections are fully established. Where I saw differences emerge is in how governance is operationalized. High-performing teams tend to treat governance platforms as active systems for managing data ownership, lineage, and policy enforcement rather than static documentation layers. Clear stewardship roles, standardized data definitions, and close integration with analytics pipelines typically lead to higher adoption and stronger trust in enterprise data. I also noticed that adoption is particularly strong in data-intensive sectors such as **information technology and services, financial services, and computer software** , where reliable and well-governed data directly affects reporting accuracy, compliance readiness, and operational decision-making. If you are evaluating governance software, three factors tend to matter most: how clearly the platform surfaces lineage and ownership, how easily policies can be enforced across existing infrastructure, and whether business users can confidently discover and understand governed datasets. Organizations that prioritize these elements usually extract the greatest long-term value. ### Data Governance Software FAQs #### What are the top-rated data governance platforms for regulated industries? Regulated industries such as financial services, healthcare, and government require data governance platforms that support policy enforcement, audit trails, and compliance reporting. Top-rated data governance platforms used in regulated environments include: - [Collibra](https://www.g2.com/products/collibra/reviews): Helps organizations enforce governance policies, track lineage, and maintain audit-ready data documentation across enterprise systems. - [Informatica Cloud Data Governance and Catalog](https://www.g2.com/products/informatica-cloud-data-governance-and-catalog/reviews): Provides automated metadata discovery, data quality monitoring, and governance controls for regulated data environments. - [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews): Supports governance for both data and AI models, helping organizations manage compliance and monitor data usage. These platforms are commonly chosen for their ability to support compliance frameworks, maintain data lineage, and centralize governance policies. #### Which data governance tool has the best observability? Data governance observability refers to visibility into data lineage, ownership, and how data flows across systems and pipelines. Tools often used for governance observability include: - [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews): Provides visual data lineage and knowledge graphs to help organizations understand relationships between datasets. - [Collibra](https://www.g2.com/products/collibra/reviews): Offers impact analysis and lineage tracking, helping teams monitor how data moves through enterprise systems. - [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews): Enables organizations to monitor governance policies across data and AI models. These platforms help teams track data flows, monitor governance policies, and detect governance gaps. #### Which data governance platform is easiest to implement? Ease of implementation usually depends on how quickly a platform connects to existing data systems and how intuitive governance workflows are. Platforms commonly recognized for faster adoption include: - [DataGalaxy](https://www.g2.com/products/datagalaxy/reviews): Known for collaborative governance and visual data mapping, allowing teams to document data assets quickly. - [Alation](https://www.g2.com/products/alation/reviews): Supports automated metadata ingestion and guided catalog setup, helping teams launch governance programs faster. - [Egnyte](https://www.g2.com/products/egnyte/reviews): Combines data governance and content governance, making it easier to enforce access policies across file systems. Organizations often see faster adoption when governance tools integrate directly with data warehouses, BI platforms, and analytics pipelines. #### What are the best platforms for centralized data governance policies? Centralized governance platforms allow organizations to define policies once and enforce them across multiple data systems. Leading platforms for centralized governance include: - [Collibra](https://www.g2.com/products/collibra/reviews): Provides centralized governance frameworks, stewardship workflows, and policy management. - [Informatica Cloud Data Governance & Catalog](https://www.g2.com/products/informatica-cloud-data-governance-and-catalog/reviews): Enables organizations to manage governance policies, data ownership, and compliance controls from a central platform. - [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews): Supports centralized governance for data and AI policies across enterprise analytics environments. These tools help organizations standardize governance rules and maintain consistent policies across business systems. #### Which platform offers AI-driven data governance recommendations? AI-driven governance platforms analyze metadata and usage patterns to automatically classify data, detect risks, and recommend governance policies. Examples include: - [IBM watsonx.governance](https://www.g2.com/products/ibm-watsonx-governance/reviews): Uses AI to monitor data usage, manage AI model governance, and recommend responsible AI controls. - [Informatica Cloud Data Governance & Catalog](https://www.g2.com/products/informatica-cloud-data-governance-and-catalog/reviews): Provides AI-powered metadata discovery and automated data classification. - [Collibra](https://www.g2.com/products/collibra/reviews): Offers intelligent metadata analysis to identify governance gaps and recommend stewardship actions. These capabilities help organizations scale governance programs while reducing manual policy management. #### Sources - [G2 Scoring Methodologies](https://documentation.g2.com/docs/research-scoring-methodologies?_gl=1*5ky9es*_gcl_au*MTY2NDg2MDY3Ny4xNzU1MDQxMDU4*_ga*MTMwMTMzNzE1MS4xNzQ5MjMyMzg1*_ga_MFZ5NDXZ5F*czE3NTUwOTkzMjgkbzQkZzEkdDE3NTUwOTk3NzYkajU3JGwwJGgw) - [G2 Winter 2026 Reports](https://company.g2.com/news/g2-winter-2026-reports) **Researched By:** [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi) **Last updated on:** March 12, 2026