# Best Enterprise Data Governance Tools *By [Shalaka Joshi](https://research.g2.com/insights/author/shalaka-joshi)* Products classified in the overall Data Governance category are similar in many regards and help companies of all sizes solve their business problems. However, enterprise business features, pricing, setup, and installation differ from businesses of other sizes, which is why we match buyers to the right Enterprise Business Data Governance to fit their needs. Compare product ratings based on reviews from enterprise users or connect with one of G2's buying advisors to find the right solutions within the Enterprise Business Data Governance category. In addition to qualifying for inclusion in the Data Governance Tools category, to qualify for inclusion in the Enterprise Business Data Governance Tools category, a product must have at least 10 reviews left by a reviewer from an enterprise business. ## 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 (1,284 reviews) | Unified lakehouse governance with lineage-tracked access control | "[Great Spark Scaling, But Slow Cluster Boot Times](https://www.g2.com/survey_responses/databricks-review-12905667)" | | 2 | [Snowflake](https://www.g2.com/products/snowflake/reviews) | 4.5/5.0 (708 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 (1,134 reviews) | Hybrid cloud file governance with granular access controls | "[Easy way to manage, Share and secure files With team collaboration](https://www.g2.com/survey_responses/egnyte-review-12753699)" | | 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 (997 reviews) | Governed self-serve analytics across multi-source data | "[Domo Makes Real-Time Dashboards Effortless with Intuitive ETL and Mobile Metrics](https://www.g2.com/survey_responses/domo-review-13032278)" | | 7 | [Salesforce Data 360 (formerly Data Cloud)](https://www.g2.com/products/salesforce-data-360-formerly-data-cloud/reviews) | 4.3/5.0 (293 reviews) | Salesforce-native unified customer profile governance | "[Unifies Customer Data into Actionable Insights Across Salesforce](https://www.g2.com/survey_responses/salesforce-data-360-formerly-data-cloud-review-13038632)" | | 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 | [Varonis Data Security Platform](https://www.g2.com/products/varonis-data-security-platform/reviews) | 4.6/5.0 (85 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)" | | 10 | [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) | 4.3/5.0 (758 reviews) | End-to-end model governance with regulatory defensibility | "[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)" | --- ## 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 ## 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**: Thales CipherTrust Data Security Platform (+5.35%) - Among all products in this category, Thales CipherTrust Data Security Platform recorded the largest rating increase compared to last month *Last updated: July 01, 2026* ## How Does G2 Rank Data Governance Tools Products? **Why You Can Trust G2's Software Rankings:** - 30 Analysts and Data Experts - 11,900+ 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. --- **Sponsored** ### CampaignTrackly CampaignTrackly helps marketing teams eliminate broken UTM tracking, inconsistent campaign naming, and misclassified traffic before it corrupts analytics and reporting. Instead of manually building campaign URLs in spreadsheets or ad-hoc tools, CampaignTrackly automates campaign metadata governance so every link is standardized, compliant, and analytics-ready. This ensures accurate attribution across platforms like Google Analytics 4 and Adobe Analytics. Why Teams Choose CampaignTrackly 1. 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Run the audit here: https://www.campaigntrackly.com/run-a-free-marketing-data-integrity-audit/ [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%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=19970&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%2Fenterprise%3Fpage%3D3&secure%5Btoken%5D=b9df2799160baddfab896c55041446d9fe9f64e0d7783273a83105757fadc6cd&secure%5Burl%5D=https%3A%2F%2Fwww.campaigntrackly.com&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:** 1,284 **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:** 8.9/10 (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 (288 reviews) - Ease of Use (278 reviews) - Integrations (189 reviews) - Collaboration (150 reviews) - Data Management (150 reviews) **Cons:** - Learning Curve (112 reviews) - Expensive (97 reviews) - Steep Learning Curve (96 reviews) - Missing Features (69 reviews) - Complexity (64 reviews) ### What Do G2 Reviewers Say About Databricks? *AI-generated summary from verified user reviews* **Pros:** - Users highlight the **seamless integration** of Databricks with AWS, enhancing their data management and processing capabilities. - Users love the **ease of use** of Databricks, seamlessly integrating with various services for efficient data management. - Users appreciate the **seamless integration with AWS and Azure** , enhancing collaboration and efficiency in data management. - Users value the **excellent collaboration** features of Databricks, enhancing teamwork and real-time project alignment. - Users value the **effective data management features** of Databricks, simplifying their workflows and enhancing decision-making. **Cons:** - Users find the **steep learning curve** of Databricks challenging, impacting onboarding and widespread organizational use. - Users find the **costs for Databricks quite high** , especially when working with large datasets, impacting overall satisfaction. - Users face a **steep learning curve** with Databricks, making initial adoption and resource management challenging. - Users express frustration over **missing features** in Databricks, limiting its effectiveness for complex deployments and custom setups. - Users often face **complexity due to a steep learning curve** and challenges with integration and documentation in Databricks. #### What Are Recent G2 Reviews of Databricks? **"[Powerful Lakehouse for Big Data, Collaboration, and Efficient Pipelines](https://www.g2.com/survey_responses/databricks-review-12946286)"** **Rating:** 4.5/5.0 stars *— Konjengbam M.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12946286) --- **"[Great Spark Scaling, But Slow Cluster Boot Times](https://www.g2.com/survey_responses/databricks-review-12905667)"** **Rating:** 5.0/5.0 stars *— Raj P.* [Read full review](https://www.g2.com/survey_responses/databricks-review-12905667) --- #### 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:** 708 **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:** - Scalability (99 reviews) - Performance (90 reviews) - Ease of Use (89 reviews) - Integrations (88 reviews) - Query Efficiency (76 reviews) **Cons:** - Feature Limitations (54 reviews) - Expensive (53 reviews) - Learning Curve (45 reviews) - Cost (36 reviews) - Poor UI Design (34 reviews) ### What Do G2 Reviewers Say About Snowflake? *AI-generated summary from verified user reviews* **Pros:** - Users praise Snowflake's **superior scalability** , allowing effortless adjustment to workload changes while maintaining high performance. - Users praise Snowflake for its **fast performance** , enabling quick data analysis and effortless operational management. - Users value the **ease of use** in Snowflake, appreciating its user-friendly interface and simplified data analysis capabilities. - Users appreciate the **excellent integrations** of Snowflake, enhancing data management and deployment across multiple cloud platforms. - Users value the **query efficiency** of Snowflake, enabling faster and simpler access to various data sources. **Cons:** - Users find **feature limitations** in Snowflake, wishing for improved query performance and better coding workflows. - Users highlight the **high costs** of Snowflake, especially if warehouses and queries are not effectively managed. - Users find the **learning curve steep** , requiring additional training for team members to navigate the interface effectively. - Users highlight the **high cost** of Snowflake, particularly if warehouses are not managed efficiently or queries are unoptimized. - Users find the **poor UI design** of Snowflake overwhelming, especially for inexperienced team members requiring additional training. #### 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 appreciate the **easy access** to data in IBM watsonx.data, simplifying analytics and enhancing productivity effortlessly. - Users appreciate the **speed and ease of use** of IBM watsonx.data for efficient data management and querying. - Users value the **flexibility and AI integration** of IBM watsonx.data, enhancing data management across hybrid environments. - Users appreciate the **seamless integration** of IBM watsonx.data with other IBM tools, enhancing their workflow efficiency. - Users value the **unified lakehouse feature** of IBM watsonx.data for its simplicity and efficiency in data analytics. **Cons:** - Users experience a **steep learning curve** with watsonx.data, complicating initial setup and feature mastery. - Users find the **complex setup** of IBM watsonx.data challenging due to its steep learning curve and non-intuitive interface. - Users find the **high pricing** of IBM watsonx.data challenging for small teams and startups during decision-making. - Users report a **difficult setup** process for IBM watsonx.data, with complex configurations and a steep learning curve. - Users experience **significant difficulties** with documentation, navigation, and integration, making it less beginner-friendly. #### 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. [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:** 85 **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:** 63% Enterprise, 33% 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 **comprehensive visibility** provided by Varonis, enhancing data security and enabling proactive threat management. - Users appreciate the **comprehensive visibility and proactive protection** provided by Varonis, enhancing their data security and compliance. - Users value the **complete visibility into sensitive data** , enabling quick identification of improper access and proactive alerts. - Users value the **complete visibility** into sensitive data and proactive alerts that enhance overall cybersecurity. - Users value the **user-friendly management features** of Varonis, making data protection and reporting effortless. **Cons:** - Users find the **initial implementation complex** , often leading to longer set up times and overwhelming data management challenges. - Users find the **learning curve steep** , requiring time to grasp the full range of features effectively. - Users find the **learning difficulty** of Varonis challenging, especially for smaller teams needing time to master its features. - Users find the **cost prohibitive** , particularly impacting smaller and mid-market organizations struggling with deployment complexities. - Users find the **setup difficulty** of Varonis Data Security Platform to be complex and time-consuming, particularly for smaller teams. #### What Are Recent G2 Reviews of Varonis Data Security Platform? **"[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) --- **"[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) --- #### 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) ### 5. [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, Retail - **Company Size:** 64% Enterprise, 15% 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 appreciate the **ease of use** of Securiti, complimenting its straightforward setup and intuitive interface. - Users appreciate the **excellent customer support** provided by Securiti, highlighting its professionalism and responsiveness. - Users appreciate the **user-friendly interface** and seamless integration of Securiti, which simplifies privacy management workflows. - Users value the **responsive and helpful support** from Securiti, which enhances collaboration and efficiency for global organizations. - Users value Securiti's **effective problem-solving capabilities** , streamlining privacy tasks and ensuring compliance effortlessly. **Cons:** - Users find Securiti's **complexity** challenging, making configuration and integration a time-consuming and difficult process. - Users experience a **steep learning curve** with Securiti, making it challenging to adapt and fully utilize its features. - Users find that **implementation issues** arise due to complexity, time consumption, and the need for extensive coordination. - Users find the **complexity issues** of Securiti can complicate configurations and require extensive training and expertise. - Users find the **learning difficulty** of Securiti's features challenging, requiring extensive training to navigate effectively. #### What Are Recent G2 Reviews of Securiti? **"[Responsive, Attentive Customer Support That Follows Through](https://www.g2.com/survey_responses/securiti-review-12723645)"** **Rating:** 4.5/5.0 stars *— Verified User in Financial Services* [Read full review](https://www.g2.com/survey_responses/securiti-review-12723645) --- **"[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) --- #### 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) ### 6. [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) --- ### 7. [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:** 997 **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/ (1,305 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 find Domo's **ease of use** beneficial, allowing non-tech savvy individuals to access and utilize data efficiently. - Users love the **flexible dashboards** of Domo, which simplify data visualization and enhance decision-making processes. - Users appreciate the **intuitive design** of Domo, making data management accessible for all skill levels. - Users value the **easy integrations** of Domo, allowing seamless data connectivity across various platforms for enhanced management. - Users value the **seamless integration** capabilities of Domo, enhancing their data management and decision-making processes. **Cons:** - Users find the **learning curve steep** , often needing to adapt to new features and manage glitches effectively. - Users find Domo lacks **key features** like flexible pivot charts and a clear consumption model, hindering usability. - Users face **data management issues** with Domo, citing unreliable connectors and challenges in generating accurate reports. - Users express concern about Domo's **expensive pricing** , citing drastic increases and lack of transparency in billing. - Users find Domo to be **complex and rigid** , making fast dataset changes and management difficult and time-consuming. #### What Are Recent G2 Reviews of Domo? **"[Interactive Real-Time Dashboards That Make Complex Data Easy](https://www.g2.com/survey_responses/domo-review-13003120)"** **Rating:** 5.0/5.0 stars *— Anil B.* [Read full review](https://www.g2.com/survey_responses/domo-review-13003120) --- **"[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) ### 8. [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 value the **ease of use** of D&B Connect, finding it perfect for efficient data management and marketing research. - Users highlight the **data accuracy** of D&B Connect, enhancing data quality and supporting company growth effectively. - Users value the **comprehensive data quality** features of D&B Connect, enhancing accuracy and efficiency in data management. - Users value the **accuracy** of D&B Connect, enhancing risk assessments and ensuring reliable data management. - Users value the **quality B2B data coverage** of D&B Connect, benefiting from seamless integration and data enrichment features. **Cons:** - Users experience **limitations in tracking credits and matching contacts** , leading to inefficiencies and frustrations with D&B Connect. - Users express concern over the **steep learning curve** of D&B Connect, indicating a need for additional training and support. - Users note that D&B Connect is **expensive** , primarily benefiting larger enterprises while being challenging for smaller businesses. - Users find **limited functionality** in D&B Connect, particularly with contact matching and account creation processes. - Users are frustrated with the **outdated data** updates, which can take 24-48 hours to reflect changes. #### 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) ### 9. [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:** 293 **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% Enterprise, 39% Mid-Market #### 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 integration** of Salesforce Data 360, enabling a unified view of customer data across the ecosystem. - Users value the **ease of use** of Salesforce Data 360, which streamlines customer data management on a trusted platform. - Users appreciate the **easy integration** of Salesforce Data 360, consolidating customer data for improved analytics and personalized engagement. - Users appreciate the **real-time data unification** of Salesforce Data Cloud, enhancing personalized, data-driven decision-making across their organization. - Users value the **seamless integration** of Salesforce Data 360, enabling a unified customer profile and real-time audience activation. **Cons:** - Users face a **steep learning curve** with Salesforce Data 360, making initial setup and understanding quite challenging. - Users find the **cost of using Salesforce Data 360** to be significantly high due to integration and data handling expenses. - Users find the **difficult learning** curve challenging, complicating setup and increasing the time investment needed for configuration. - Users find the **initial setup and learning curve complex** , making effective use of Salesforce Data 360 challenging for many. - Users find the **complex setup** of Salesforce Data 360 challenging, often needing support to navigate initial configurations. #### What Are Recent G2 Reviews of Salesforce Data 360 (formerly Data Cloud)? **"[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) --- **"[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) --- #### 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) ### 10. [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 praise ILUM for its **ease of use** , which simplifies data processing and integration seamlessly across platforms. - Users appreciate the **seamless integration** of ILUM with existing systems, enhancing workflows and data management efficiency. - Users value the **seamless integrations** of ILUM, enhancing their workflows and data management across various systems. - Users appreciate the **seamless setup process** of ILUM, enabling quick deployment and integration with existing systems. - Users value the **seamless integrations** of ILUM, significantly enhancing their data management and analytics processes without complications. **Cons:** - Users find the **complex setup** challenging initially, needing experimentation and deeper understanding for advanced configurations. - Users find the **difficult setup** of ILUM challenging, especially for advanced configurations and on-prem environments. - Users find the **learning curve steep** initially, but daily use becomes intuitive with support and training. - Users note that the **UI can feel unpolished and less intuitive** , making setup and navigation challenging for some teams. - Users note that ILUM's **complexity in configuration** can require significant effort to navigate and optimize 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) --- ### 11. [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:** 1,134 **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/ (1,289 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 a pleasant and user-friendly interface for file management. - Users value the **ease of file sharing** with Egnyte, appreciating its user-friendly integration and collaboration features. - Users love the **easy sharing** capabilities of Egnyte, facilitating seamless and secure file access across departments. - Users value the **easy access** to files from anywhere, ensuring productivity and reliability across all work environments. - Users appreciate the **high security** of Egnyte, feeling confident in the protection of their data. **Cons:** - Users find Egnyte **expensive** with limited plans, making it difficult for small businesses with growing storage needs. - Users often experience **file failures and timeouts** , leading to frustration with saving and accessibility issues. - Users find **user difficulty** with Egnyte due to complex features and challenges on mobile devices. - Users find Egnyte **lacking features** , making navigation and file handling more complicated than necessary. - Users find the **missing features** in Egnyte restrict collaboration and usability, particularly for 3D content handling. #### What Are Recent G2 Reviews of Egnyte? **"[Easy way to manage, Share and secure files With team collaboration](https://www.g2.com/survey_responses/egnyte-review-12753699)"** **Rating:** 5.0/5.0 stars *— Ishan S.* [Read full review](https://www.g2.com/survey_responses/egnyte-review-12753699) --- **"[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 ### 12. [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 find DataGalaxy to be **easy to use** , simplifying integration and customization for both technical and business profiles. - Users appreciate the **collaboration features** of DataGalaxy, enabling seamless teamwork and data sharing across teams. - Users value the **easy integration** of DataGalaxy with data tools, enhancing their overall data management experience. - Users praise the **user-friendly interface** of DataGalaxy, facilitating easy navigation and collaboration for data analysis. - Users value the **accessibility** of DataGalaxy, enabling all employees with a business email to utilize the tool effectively. **Cons:** - Users find the **user interface not intuitive** and suggest several improvements for better usability and consistency. - Users note the **limited capabilities** of DataGalaxy, suggesting enhancements for improved usability and API accessibility. - Users find the **interface not intuitive** and struggle with connectors for importing metadata effectively. - Users often face **connector issues** when trying to import metadata, making the process challenging and frustrating. - Users find the **difficult interface** of DataGalaxy challenging and lacking consistency in its functions. #### What Are Recent G2 Reviews of DataGalaxy? **"[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) --- **"[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) --- ### 13. [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/ (2,589 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 praise the **ease of use** of the AvePoint Confidence Platform, facilitating smooth implementation and intuitive navigation. - Users appreciate the **ease of use and comprehensive backup** capabilities of AvePoint Confidence Platform for Microsoft 365. - Users appreciate the **flexible backup frequency** of AvePoint Confidence Platform, ensuring customized data protection effortlessly. - Users value the **robust security and compliance features** of AvePoint Confidence Platform, streamlining management of SaaS data protection. - Users appreciate the **easy setup** of AvePoint Confidence Platform, making implementation and management seamless and efficient. **Cons:** - Users find the **high cost** of AvePoint Confidence Platform makes it less appealing for long-term use and support. - Users often face **backup issues** including incomplete backups and inconsistent data restoration, leading to frustration. - Users report **poor customer support** from AvePoint, experiencing delays and challenges in getting timely assistance for issues. - Users face **slow performance** , particularly in data retrieval, impacting their overall experience with AvePoint Confidence Platform. - Users report **technical issues** such as incomplete backups and lack of timely error notifications, affecting reliability and convenience. #### 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 ### 14. [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 appreciate the **ease of use** of SAP MDG, enjoying smooth processes and effective governance over master data. - Users value the **single trusted source of master data** in SAP MDG, enhancing data quality and compliance across organizations. - Users value the **centralized and streamlined master data management** of SAP MDG, enhancing efficiency and data accuracy. - Users value the **data accuracy** of SAP MDG, benefiting from a trusted source and robust governance for master data. - Users value the **seamless data integration** of SAP MDG, enhancing data accuracy and consistency across multiple systems. **Cons:** - Users face a **complex setup** that requires significant customization and can hinder overall implementation efficiency. - Users find the **complex implementation** of SAP MDG time-consuming and challenging, especially for unique business needs. - Users experience **data management issues** due to potential manipulation risks, slow performance, and complex integration challenges. - Users find SAP MDG **expensive** compared to simpler solutions, suggesting a need for more affordable options. - Users find the **setup difficult** , citing complexity and coordination challenges that hinder effective implementation of SAP MDG. #### 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 ### 15. [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:** 758 **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, Statistical Programmer - **Top Industries:** Pharmaceuticals, Banking - **Company Size:** 33% Enterprise, 33% Small-Business #### What Are SAS Viya's Pros and Cons? **Pros:** - Ease of Use (234 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 **ease of use** in SAS Viya, enabling effortless data visualization and enhancing decision-making efficiency. - Users value the **advanced analytical capabilities** of SAS Viya, enhancing decision-making with a user-friendly interface. - Users appreciate the **sophisticated analytical methods** in SAS Viya, enhancing decision-making and providing valuable business insights. - Users value the **end-to-end data lifecycle tooling** of SAS Viya, enhancing insights and streamlining logistic data analysis. - Users value the **user-friendly interface** of SAS Viya, making complex analytics accessible to all skill levels. **Cons:** - Users find it **difficult for non-technical users** to navigate reports and dashboards, impacting their overall experience. - Users find the **learning curve challenging** , especially non-technical users struggling to access reports and dashboards. - Users find the **complexity of visualization** in SAS Viya challenging, especially for newcomers and non-technical individuals. - Users find the **difficult learning curve** of SAS Viya challenging, particularly for new and non-technical users. - Users find the pricing of SAS Viya to be **expensive** and often confusing without extensive communication. #### What Are Recent G2 Reviews of SAS Viya? **"[SAS Viya is a Powerful Analytics](https://www.g2.com/survey_responses/sas-viya-review-11702846)"** **Rating:** 5.0/5.0 stars *— Deependra G.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-11702846) --- **"[Powerful & Transforming Data into Decisions—Effortlessly and Intelligently.](https://www.g2.com/survey_responses/sas-viya-review-12682824)"** **Rating:** 4.5/5.0 stars *— Venkatesh D.* [Read full review](https://www.g2.com/survey_responses/sas-viya-review-12682824) --- #### 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 ### 16. [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 (572 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) --- ### 17. [Odaseva](https://www.g2.com/products/odaseva/reviews) Odaseva delivers the strongest data security solution for enterprises running on Salesforce, safeguarding confidentiality and integrity of critical business information. The Odaseva Enterprise Data Security Platform ensures business continuity, regulatory compliance, and powerful protection against threats to Salesforce data. It is designed and built specifically to solve the complex challenges of large-scale global organizations. Odaseva’s integrated suite of security products features Zero Trust architecture and real-time processing that not only meets but anticipates the stringent demands of global compliance. We provide businesses with the tools to prove recovery readiness, streamline precise data restoration, and leverage tools that protect the integrity and availability of critical data. With Odaseva, enterprises can confidently navigate the evolving data security landscape, ensuring that operations remain uninterrupted and aligned with regulatory standards. **Average Rating:** 4.5/5.0 **Total Reviews:** 44 **How Do G2 Users Rate Odaseva?** - **Roles Management:** 9.1/10 (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:** 8.6/10 (Category avg: 8.7/10) **Who Is the Company Behind Odaseva?** - **Seller:** [Odaseva.com](https://www.g2.com/sellers/odaseva-com) - **Year Founded:** 2012 - **HQ Location:** San Francisco, California - **Twitter:** @odaseva (517 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3113168/ (164 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Insurance - **Company Size:** 66% Enterprise, 27% Mid-Market #### What Are Odaseva's Pros and Cons? **Pros:** - Ease of Use (2 reviews) - Easy Restore (2 reviews) - Scheduling Flexibility (2 reviews) - Backup Services (1 reviews) - Backup Solutions (1 reviews) **Cons:** - Complex Setup (1 reviews) - Cost Issues (1 reviews) - Dependency Issues (1 reviews) - Difficult Setup (1 reviews) - Expensive (1 reviews) ### What Do G2 Reviewers Say About Odaseva? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of Odaseva, enjoying its simple recovery and streamlined backup process. - Users value the **scalable backup solution** of Easy Restore, appreciating its simplicity in recovery and scheduling. - Users appreciate the **scheduling flexibility** of Odaseva, enabling efficient backup management and planning at a glance. - Users value the **scalable backup solution** of Odaseva, praising its simplicity in recovery processes. - Users praise Odaseva for its **scalable backup solution** that simplifies recovery processes effectively. **Cons:** - Users find the **initial setup challenging** , leading to a longer process than anticipated for Odaseva. - Users feel Odaseva should offer a **more competitive cost** compared to other providers in the market. - Users struggle with **dependency issues** due to insufficient enablement content, often relying on Odaseva support for assistance. - Users find the **initial setup difficult and time-consuming** , which can hinder their overall experience with Odaseva. - Users feel Odaseva is **expensive** and suggest more competitive pricing compared to other options in the market. #### What Are Recent G2 Reviews of Odaseva? **"[Very efficient tool](https://www.g2.com/survey_responses/odaseva-review-7015178)"** **Rating:** 4.0/5.0 stars *— Verified User in Mining & Metals* [Read full review](https://www.g2.com/survey_responses/odaseva-review-7015178) --- **"[The most intuitive, fast and simple backup solution!](https://www.g2.com/survey_responses/odaseva-review-7510441)"** **Rating:** 5.0/5.0 stars *— Mirko P.* [Read full review](https://www.g2.com/survey_responses/odaseva-review-7510441) --- #### What Are G2 Users Discussing About Odaseva? - [What is Odaseva used for?](https://www.g2.com/discussions/what-is-odaseva-used-for) ### 18. [Collibra](https://www.g2.com/products/collibra/reviews) Try Collibra for free @ Collibra.com/tour Collibra is for organizations with complex data challenges, hybrid data ecosystems—and big ambitions for data and AI. We help organizations who are trying to accelerate data and AI use cases while ensuring compliance, but are struggling with fragmented governance and visibility across the whole hybrid data ecosystem. Collibra unifies governance for data and AI across every system, data source and user—to create safe autonomy and a foundation for scaling AI and data use cases. With Collibra, you can accelerate all your data and AI use cases, safely and with well–understood data. That’s Data Confidence. **Average Rating:** 4.2/5.0 **Total Reviews:** 99 **How Do G2 Users Rate Collibra?** - **Roles Management:** 7.8/10 (Category avg: 8.8/10) - **Data Discovery:** 8.4/10 (Category avg: 8.7/10) - **Compliance Management:** 7.7/10 (Category avg: 8.9/10) - **Ease of Use:** 8.0/10 (Category avg: 8.7/10) **Who Is the Company Behind Collibra?** - **Seller:** [Collibra](https://www.g2.com/sellers/collibra) - **Company Website:** https://www.collibra.com - **Year Founded:** 2008 - **HQ Location:** New York, New York - **Twitter:** @collibra (5,756 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/288365/ (1,082 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Financial Services, Banking - **Company Size:** 72% Enterprise, 19% Mid-Market #### What Are Collibra's Pros and Cons? **Pros:** - Features (10 reviews) - Data Management (9 reviews) - Collaboration (7 reviews) - Ease of Use (7 reviews) - Integrations (7 reviews) **Cons:** - Complexity Issues (7 reviews) - Limited Functionality (6 reviews) - Complexity (5 reviews) - Integration Issues (5 reviews) - User Interface Issues (5 reviews) ### What Do G2 Reviewers Say About Collibra? *AI-generated summary from verified user reviews* **Pros:** - Users value the **unified data intelligence** of Collibra, effectively aligning Business and IT on a single platform. - Users value the **unified data intelligence platform** of Collibra, enhancing alignment between Business and IT teams efficiently. - Users value the **collaboration features** of Collibra, which unify data governance and streamline stakeholder communication. - Users find Collibra to be **intuitive and easy to configure** , enhancing their data management experience significantly. - Users value the **seamless integrations** with various tools, enhancing the overall data management ecosystem. **Cons:** - Users often face **complexity issues** with Collibra, leading to confusion and inefficiencies in their processes. - Users face **limited functionality** in Collibra due to challenging verification and unintuitive navigation, complicating their experience. - Users find the **complexity** of Collibra burdensome, hindering efficient onboarding and creating cumbersome workflows and unclear roles. - Users face **integration issues** with Collibra, leading to inefficient workflows and frustrating manual processes. - Users report **user interface issues** in Collibra, noting navigation challenges and cumbersome complexity that hinder effectiveness. #### What Are Recent G2 Reviews of Collibra? **"[Powerful Data Governance and Quality Platform](https://www.g2.com/survey_responses/collibra-review-12128662)"** **Rating:** 5.0/5.0 stars *— Katerina V.* [Read full review](https://www.g2.com/survey_responses/collibra-review-12128662) --- **"[Collibra Data Quality Module](https://www.g2.com/survey_responses/collibra-review-7563210)"** **Rating:** 5.0/5.0 stars *— Frank L.* [Read full review](https://www.g2.com/survey_responses/collibra-review-7563210) --- #### What Are G2 Users Discussing About Collibra? - [What is Collibra data governance tool?](https://www.g2.com/discussions/what-is-collibra-data-governance-tool) - [Is Collibra a good tool?](https://www.g2.com/discussions/is-collibra-a-good-tool) - [What can Collibra do?](https://www.g2.com/discussions/what-can-collibra-do) - [What are the features of Collibra?](https://www.g2.com/discussions/what-are-the-features-of-collibra) ### 19. [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/ (9,880 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 (16 reviews) - Speed (13 reviews) - Analytics (11 reviews) - Scalability (11 reviews) - Large Datasets (9 reviews) **Cons:** - Learning Curve (10 reviews) - Steep Learning Curve (5 reviews) - Complexity (4 reviews) - Not User-Friendly (4 reviews) - Poor UI Design (4 reviews) ### What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform? *AI-generated summary from verified user reviews* **Pros:** - Users commend the **high performance and accuracy** of Teradata Autonomous Knowledge Platform in data analysis. - Users appreciate the **fast data handling** of Teradata Autonomous Knowledge Platform, enhancing their analytical efficiency. - Users find the **advanced analytics** of Teradata Autonomous Knowledge Platform highly effective for detailed business insights. - Users appreciate the **scalability** of Teradata Autonomous Knowledge Platform, enabling efficient handling of large datasets seamlessly. - Users value the **powerful performance with large datasets** of Teradata, enabling fast and efficient complex analyses. **Cons:** - Users find the **steep learning curve** challenging, with advanced features being complex for new users to navigate. - Users find the **steep learning curve** challenging, making it difficult for new users to navigate advanced features. - Users find the **complexity** of Teradata's platform challenging, especially for non-technical and new users. - Users find the platform **not user-friendly** , particularly citing its steep learning curve and outdated interface. - Users find the **outdated user interface** difficult to navigate, hindering usability and efficient data management. #### 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) ### 20. [Alation](https://www.g2.com/products/alation/reviews) Alation is the data intelligence company. Founded in 2012 and headquartered in Redwood City, California—with global offices in London and Sydney—Alation serves more than 650 enterprise customers across 34 industries. The company pioneered the modern data catalog by combining machine learning with human insight to connect people with questions to people with answers. Today, more than 40% of the Fortune 100 rely on Alation to power data and AI initiatives at scale. Alation’s platform unifies cataloging, governance, and data quality with new AI-native capabilities built on one essential foundation: metadata. Metadata provides the context AI models lack, delivering outputs that are accurate, explainable, and trustworthy. With capabilities like Agent Studio, CDE Manager, and Data Quality Agent, organizations can build agents that understand their unique definitions, rules, and quality standards. Embedded readiness checks and continuous evaluation ensure every AI workflow is grounded in the right metadata context, making enterprise AI reliable enough for real production use. **Average Rating:** 4.4/5.0 **Total Reviews:** 89 **How Do G2 Users Rate Alation?** - **Roles Management:** 7.6/10 (Category avg: 8.8/10) - **Data Discovery:** 8.4/10 (Category avg: 8.7/10) - **Compliance Management:** 7.6/10 (Category avg: 8.9/10) - **Ease of Use:** 8.3/10 (Category avg: 8.7/10) **Who Is the Company Behind Alation?** - **Seller:** [Alation](https://www.g2.com/sellers/alation) - **Company Website:** https://alation.com - **Year Founded:** 2012 - **HQ Location:** Redwood City, CA - **Twitter:** @Alation (3,567 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/3231829/ (621 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Information Technology and Services, Financial Services - **Company Size:** 57% Enterprise, 27% Mid-Market #### What Are Alation's Pros and Cons? **Pros:** - Ease of Use (16 reviews) - Data Discovery (10 reviews) - User Experience (10 reviews) - Data Cataloging (9 reviews) - User Interface (9 reviews) **Cons:** - Slow Performance (8 reviews) - Missing Features (6 reviews) - Limited Functionality (4 reviews) - Lineage Limitations (4 reviews) - User Interface Issues (4 reviews) ### What Do G2 Reviewers Say About Alation? *AI-generated summary from verified user reviews* **Pros:** - Users love Alation's **ease of use** , enabling swift navigation and efficient access to interconnected information. - Users value the **intuitive data discovery** in Alation, enhancing understanding and collaboration across various teams. - Users appreciate the **user-friendly interface** of Alation, making data discovery and governance seamless and efficient. - Users value Alation's **user-friendly interface and strong governance workflows** , enhancing data discovery and collaboration across teams. - Users appreciate the **user-friendly interface** of Alation, enhancing navigation and boosting productivity across data resources. **Cons:** - Users experience **slow performance** with Alation, particularly with search results and metadata freshness, impacting efficiency. - Users note **missing features** in Alation, particularly in data quality and visual indicators for hidden assets. - Users note the **limited functionality** of Alation, citing missing features and rigid custom workflows as significant drawbacks. - Users face **lineage limitations** in Alation, experiencing frustrating bugs and inconsistent support, impacting long-term planning. - Users find the **user interface lacking** , as it complicates navigation and hinders efficient data retrieval. #### What Are Recent G2 Reviews of Alation? **"[Exceptional Tool and Team, Expanding Our Data Governance](https://www.g2.com/survey_responses/alation-review-12007948)"** **Rating:** 5.0/5.0 stars *— Eric N.* [Read full review](https://www.g2.com/survey_responses/alation-review-12007948) --- **"[A Solid Product With Areas for Refinement](https://www.g2.com/survey_responses/alation-review-11980120)"** **Rating:** 5.0/5.0 stars *— Melissa B.* [Read full review](https://www.g2.com/survey_responses/alation-review-11980120) --- #### What Are G2 Users Discussing About Alation? - [Is Alation a database?](https://www.g2.com/discussions/is-alation-a-database) - [Which three are capabilities of Oracle Cloud Infrastructure data catalog service?](https://www.g2.com/discussions/which-three-are-capabilities-of-oracle-cloud-infrastructure-data-catalog-service) - 1 comment - [Is Alation good?](https://www.g2.com/discussions/is-alation-good) - [What does Alation software do?](https://www.g2.com/discussions/what-does-alation-software-do) ### 21. [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 (10 reviews) - Features (9 reviews) - Security (9 reviews) - Access Control (8 reviews) - Data Protection (8 reviews) **Cons:** - Complexity (6 reviews) - Complexity Management (5 reviews) - Slow Performance (4 reviews) - Expensive (3 reviews) - Integration Issues (3 reviews) ### What Do G2 Reviewers Say About Satori Data Security Platform? *AI-generated summary from verified user reviews* **Pros:** - Users find Satori Data Security Platform to be **extremely user-friendly** , facilitating straightforward data security management and compliance. - Users find that Satori's **data security management** streamlines access controls and enhances data masking and recovery processes. - Users value the **effective security management** Satori offers, streamlining access to data while ensuring robust protection. - Users value the **granular access control** in Satori, which simplifies data security management across various sources. - Users value the **granular data access control** of Satori, simplifying data management and security across sources. **Cons:** - Users note the **complexity** of Satori Data Security Platform, particularly for small teams managing extensive policies and datasets. - Users find the platform's **complexity for small teams** challenging, impacting effective data governance implementation and management. - Users experience **slow performance** during large queries, which can impact efficiency if resources aren’t managed well. - Users find the Satori Data Security Platform **expensive** , especially smaller teams, who struggle with high pricing and complexity. - Users face **integration issues** with older databases, requiring extra manual effort and creating potential complications. #### 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) --- ### 22. [Claravine](https://www.g2.com/products/claravine/reviews) Claravine is the marketing data governance and data standards platform that helps enterprise brands build a marketing data center of excellence — and serves as the governance layer for agentic AI workflows across the modern marketing stack. In today's AI-driven, multi-channel ecosystem, marketing teams struggle with broken attribution, inconsistent campaign taxonomy, poor data quality, and ungoverned automation. Claravine solves this by establishing a centralized layer of data standards and metadata governance — so every campaign, channel, AI agent, and touchpoint operates from a single source of truth. Campaign Data Governance — Claravine automates UTM parameter management, enforces campaign naming conventions, and standardizes tracking templates across your entire paid media, organic, and owned channel mix. Marketing operations, media planning, and analytics teams get clean, consistent data — without manual cleanup. The Governance Layer for Agentic AI — As marketing teams adopt agentic AI workflows for content creation, media buying, and campaign execution, ungoverned automation creates new risks for data quality and attribution. Claravine acts as the governance and compliance layer that ensures every AI-generated action — from tagging to creative deployment — adheres to your organization's data standards. Claravine is the infrastructure that makes AI-powered marketing operations scalable and trustworthy. Content & Creative Intelligence: Content ID — Assigns a unique, AI-generated identifier to every creative asset, enabling cross-channel performance tracking and connecting creative decisions to business outcomes Smart Correct — Uses AI to automatically detect, flag, and correct taxonomy errors and metadata inconsistencies before they corrupt your reporting Marketing Data Center of Excellence Claravine gives enterprise organizations the process and platform framework to build a true marketing data center of excellence — aligning marketing ops, analytics, IT, and media teams around shared data standards, governance workflows, and a unified metadata layer. With 25+ integrations, including Adobe Analytics, Chrome Browser Extension, Google Analytics 4, Snowflake, Salesforce, every available social media channel, and major DSPs, Claravine connects your standards to your entire martech ecosystem. Who uses Claravine: Enterprise marketing operations leaders, digital analytics teams, media planners, and data governance managers at brands running complex, multi-channel paid media and content programs. Results: Customers report up to 80% reduction in manual data work and 5X ROI by eliminating the downstream cost of bad data and ungoverned workflows. **Average Rating:** 4.6/5.0 **Total Reviews:** 50 **How Do G2 Users Rate Claravine?** - **Roles Management:** 9.2/10 (Category avg: 8.8/10) - **Data Discovery:** 6.7/10 (Category avg: 8.7/10) - **Compliance Management:** 9.4/10 (Category avg: 8.9/10) - **Ease of Use:** 8.8/10 (Category avg: 8.7/10) **Who Is the Company Behind Claravine?** - **Seller:** [Claravine](https://www.g2.com/sellers/claravine) - **Company Website:** https://www.claravine.com - **Year Founded:** 2012 - **HQ Location:** Provo, Utah - **Twitter:** @claravinesocial (952 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/claravine/ (62 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Marketing and Advertising, Information Technology and Services - **Company Size:** 59% Enterprise, 25% Mid-Market #### What Are Recent G2 Reviews of Claravine? **"[Intuitive and Effective Platform for Link Parameterization](https://www.g2.com/survey_responses/claravine-review-12873185)"** **Rating:** 5.0/5.0 stars *— Fernanda F.* [Read full review](https://www.g2.com/survey_responses/claravine-review-12873185) --- **"[Claravine ease of use](https://www.g2.com/survey_responses/claravine-review-7024687)"** **Rating:** 4.5/5.0 stars *— Clara C.* [Read full review](https://www.g2.com/survey_responses/claravine-review-7024687) --- #### What Are G2 Users Discussing About Claravine? - [How do you use Claravine?](https://www.g2.com/discussions/how-do-you-use-claravine) - [What is the use of Claravine?](https://www.g2.com/discussions/what-is-the-use-of-claravine) - [What can Adobe Analytics do?](https://www.g2.com/discussions/what-can-adobe-analytics-do) - [What does claravine do?](https://www.g2.com/discussions/what-does-claravine-do) ### 23. [Acceldata](https://www.g2.com/products/acceldata/reviews) Acceldata is a pioneering provider of enterprise solutions in data observability and Agentic Data Management. Its technology enables organizations to monitor, manage, and improve the reliability, quality, and performance of data systems across cloud, hybrid, and on-prem environments. Building on its foundation in data observability, Acceldata developed an Agentic Data Management platform that applies AI agents to autonomously detect, analyze, and resolve issues across the data lifecycle. This approach brings together observability, governance, and optimization into a unified system, allowing data environments to self-monitor, self-heal, and adapt over time. By moving from manual, reactive operations to more intelligent, automated processes, Acceldata supports scalable, efficient, and context-aware data management across the enterprise. Core Features of Acceldata’s Agentic Data Management Platform 1. Autonomous AI Agents: Acceldata deploys over 10 specialized AI agents designed to manage core data functions such as data quality, lineage, profiling, governance, pipeline health, and cost optimization. These agents continuously scan systems, detect issues, reason about their cause, and either take direct action or escalate with human oversight. They collaborate to improve data reliability, reduce downtime, and drive informed decision-making. 2. xLake Reasoning Engine: At the core of the platform is the xLake Reasoning Engine—a high-scale, AI-aware engine built to handle exabytes of data. It executes across hybrid and multi-cloud environments, translating business rules into intelligent data actions. xLake enables context-aware processing and powers the agents’ ability to reason across telemetry, metadata, and historical trends. 3. Contextual Memory and Learning: Agents don’t operate in isolation. They remember past patterns, recall prior actions, and improve over time using contextual memory. This learning ability allows agents to adapt policies, refine thresholds, and prevent repeat incidents, making pipelines and systems progressively smarter and more resilient. 4. Natural Language Interface – The Business Notebook: Acceldata features a conversational interface called the Business Notebook. This AI-powered workspace allows business users and technical teams to interact with data in natural language. It explains agent actions, visualizes lineage, and empowers non-technical users to ask questions, make decisions, and access insights without needing SQL or scripting knowledge. 5. Real-Time Data Observability and Self-Healing: The platform goes beyond traditional monitoring by offering agentic observability. It autonomously scans data systems for anomalies, schema drift, freshness decay, and operational failures. Once detected, agents not only alert but also remediate issues in real time—ensuring continuous data reliability and pipeline health. 6. Policy-Driven Governance and Compliance: Acceldata embeds governance into the fabric of your data workflows. With policy agents, organizations can define and enforce access controls, data protection rules, audit logging, and compliance policies like GDPR, HIPAA, and BCBS 239—all without manual configuration. These policies evolve automatically using machine learning and agent feedback loops. 7. Unified Data Discovery and Classification: The Discovery engine continuously scans across cloud platforms, data lakes, and warehouses to classify, tag, and map data assets. It auto-generates lineage maps, enriches assets with context (e.g., usage, sensitivity), and supports plain-language search. This eliminates the need for separate data catalogs and makes every dataset AI-ready. 8. Agent Studio for Custom Agent Creation: With Agent Studio, organizations can build and deploy their own AI agents tailored to their business needs. Whether it’s a vertical-specific data rule, a proprietary policy, or a unique remediation workflow, Agent Studio offers the flexibility to extend the platform’s capabilities and orchestrate multi-agent workflows. **Average Rating:** 4.4/5.0 **Total Reviews:** 55 **How Do G2 Users Rate Acceldata?** - **Ease of Use:** 8.5/10 (Category avg: 8.7/10) **Who Is the Company Behind Acceldata?** - **Seller:** [Acceldata](https://www.g2.com/sellers/acceldata) - **Company Website:** https://www.acceldata.io/ - **Year Founded:** 2018 - **HQ Location:** Campbell, CA - **Twitter:** @acceldataio (340 Twitter followers) - **LinkedIn® Page:** https://www.linkedin.com/company/acceldata (299 employees on LinkedIn®) **Who Uses This Product?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 61% Enterprise, 23% Mid-Market #### What Are Acceldata's Pros and Cons? **Pros:** - Ease of Use (18 reviews) - Customer Support (15 reviews) - Efficiency Improvement (13 reviews) - Features (13 reviews) - Monitoring (13 reviews) **Cons:** - UX Improvement (9 reviews) - Complex Setup (6 reviews) - Difficult Setup (6 reviews) - Learning Curve (6 reviews) - Learning Difficulty (6 reviews) ### What Do G2 Reviewers Say About Acceldata? *AI-generated summary from verified user reviews* **Pros:** - Users appreciate the **user-friendly interface** of Acceldata, significantly enhancing productivity and ease of data management. - Users commend the **responsive customer support** of Acceldata, consistently resolving issues swiftly and efficiently. - Users value the **efficiency improvement** Acceldata offers through automated monitoring and real-time data visibility. - Users value the **quick integration of new features** in Acceldata ODP, appreciating its excellent support and user experience. - Users value the **real-time monitoring** capabilities of Acceldata, enhancing visibility and ensuring data reliability for decision-making. **Cons:** - Users find the **UX improvement** necessary due to GUI inconsistencies and complicated features affecting usability. - Users find the **complex setup** of Acceldata challenging, especially with confusing data visualization and insufficient documentation. - Users find the **difficult setup** of Acceldata challenging, citing complexity and a steep learning curve in creating systems. - Users find the **steep learning curve** of Acceldata challenging, especially during the initial setup phase. - Users find the **learning difficulty** of Acceldata's system challenging, especially for non-technical individuals during setup. #### What Are Recent G2 Reviews of Acceldata? **"[Versatile Data Observability with Brilliant Alerting and Monitoring](https://www.g2.com/survey_responses/acceldata-review-12949346)"** **Rating:** 4.5/5.0 stars *— Luciana S.* [Read full review](https://www.g2.com/survey_responses/acceldata-review-12949346) --- **"[Enterprise Data Reliability and Observability Platform with Strong Customization](https://www.g2.com/survey_responses/acceldata-review-12122073)"** **Rating:** 5.0/5.0 stars *— Jayakumar S.* [Read full review](https://www.g2.com/survey_responses/acceldata-review-12122073) --- ### 24. [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:** - Ease of Use (5 reviews) - Easy Integration (5 reviews) - Easy Integrations (5 reviews) - Easy Setup (4 reviews) - Integration Capabilities (4 reviews) **Cons:** - Expensive (5 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 **ease of use** of Twilio Segment, finding setup and integration straightforward and user-friendly. - Users appreciate the **easy integration** of Twilio Segment with various tools, streamlining their data management process. - Users love the **easy integrations** of Twilio Segment, facilitating seamless connections with various tools and data sources. - Users appreciate the **easy setup** of Twilio Segment, allowing for efficient data collection and integration across platforms. - Users appreciate the **quick and easy integrations** with various tools, enhancing efficiency without requiring engineering skills. **Cons:** - Users find the **cost of Twilio Segment** prohibitive, leading to frustration over implementation and support challenges. - Users find the **pricing issues** of Twilio Segment concerning, often feeling it’s too expensive for the value offered. - Users face a **high learning curve** with Twilio Segment, complicating initial implementation and event taxonomy design. - Users report **poor customer support** and implementation challenges that severely hinder their experience with Twilio Segment. - Users highlight **poor interface design** , complicating tasks like report creation and audience management, making the tool frustrating to use. #### 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) ### 25. [SAP Business Data Cloud](https://www.g2.com/products/sap-business-data-cloud/reviews) SAP Business Data Cloud is a fully managed software-as-a-service (SaaS) solution that unifies and governs SAP data and connects with third-party data. As an evolution of the company's data, planning, and analytics solutions, SAP Business Data Cloud brings together SAP Datasphere, SAP Analytics Cloud, and SAP Business Warehouse with a unified experience that delivers insights across all lines of business. In addition, SAP Databricks is natively available in Business Data Cloud - bringing the power of Databricks Data Intelligence Platform capabilities to the product. SAP Business Data Cloud connects data by leveraging business data fabric principles, making it easier to discover, share, govern, and model this data. It includes SAP Databricks as a first-party data service. The platform combines prebuilt applications and data products across all lines of business. It provides fully managed, curated data products across all lines of business and eliminate the costs of data extracts. Users can build on SAP’s curated data products with their domain expertise, and deliver Intelligent Applications through the Business Data Cloud ecosystem. These intelligent applications are adaptive, AI-powered applications that learn from your data, understand business context, and act on your behalf to transform business outcomes. **Average Rating:** 4.2/5.0 **Total Reviews:** 74 **How Do G2 Users Rate SAP Business Data Cloud?** - **Roles Management:** 7.7/10 (Category avg: 8.8/10) - **Data Discovery:** 7.0/10 (Category avg: 8.7/10) - **Compliance Management:** 8.7/10 (Category avg: 8.9/10) - **Ease of Use:** 8.1/10 (Category avg: 8.7/10) **Who Is the Company Behind SAP Business Data Cloud?** - **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?** - **Top Industries:** Computer Software, Information Technology and Services - **Company Size:** 39% Enterprise, 29% Small-Business #### What Are SAP Business Data Cloud's Pros and Cons? **Pros:** - Ease of Use (32 reviews) - Features (32 reviews) - Integration Capabilities (31 reviews) - Data Discovery (30 reviews) - Integrations (27 reviews) **Cons:** - Complexity (30 reviews) - Difficult Learning (25 reviews) - Integration Issues (25 reviews) - Expensive (23 reviews) - Learning Curve (18 reviews) ### What Do G2 Reviewers Say About SAP Business Data Cloud? *AI-generated summary from verified user reviews* **Pros:** - Users value the **ease of use** of SAP Business Data Cloud, enhancing data management and integration across systems. - Users value the **business-ready semantic layer** of SAP Business Data Cloud for enhancing data understanding and governance. - Users value the **seamless data integration capabilities** of SAP Business Data Cloud, enhancing data management and insights. - Users value the **seamless data integration** of SAP Business Data Cloud, enhancing data management and insightful decision-making. - Users value the **seamless data integration** of SAP Business Data Cloud, enhancing decision-making with trusted real-time insights. **Cons:** - Users face a challenging **learning curve** with SAP Business Data Cloud, complicating setup and integration efforts. - Users find the **difficult learning** curve of SAP Business Data Cloud hinders effective use and slows down adoption. - Users struggle with **integration issues** in SAP Business Data Cloud, impacting performance and connectivity with non-SAP sources. - Users find the SAP Business Data Cloud to be **expensive for large-scale deployments** , impacting overall cost-effectiveness. - Users struggle with the **steep learning curve** of SAP Business Data Cloud, requiring significant time and support to master. #### What Are Recent G2 Reviews of SAP Business Data Cloud? **"[Centralized Data Management with User-Friendly UI](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12609585)"** **Rating:** 4.0/5.0 stars *— Tejas Kumar V.* [Read full review](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12609585) --- **"[Unify SAP and non-SAP data](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12851557)"** **Rating:** 4.0/5.0 stars *— Maria Francesca I.* [Read full review](https://www.g2.com/survey_responses/sap-business-data-cloud-review-12851557) --- ## 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