Best Data Governance Tools for Small Business

How Many Data Governance Tools Products Does G2 Track?

Total Products under this Category: 214

Category Stats (Aug 2026)

  • Average Rating: 4.45/5 (↑0.01 vs Jul 2026) The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: Integrate (+5.02%) - Among all products in this category, Integrate recorded the largest rating increase compared to last month

Last updated: August 07, 2026

How Does G2 Rank Data Governance Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,100+ 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.

G2 Grid® for Data Governance Tools

G2 Grid® for Data Governance Tools plotting products by satisfaction and market presence

Highlighted products: Databricks, Egnyte, IBM watsonx.data, Snowflake, Salesforce Data 360 (formerly Data Cloud), IBM watsonx.governance, Domo, and SAP Master Data Governance (MDG).

Underlying data: [Grid® JSON](https://www.g2.com/categories/data-governance-tools/grids.json?focus%5B%5D=databricks&focus%5B%5D=egnyte&focus%5B%5D=ibm-watsonx-data&focus%5B%5D=snowflake&focus%5B%5D=salesforce-data-360-formerly-data-cloud&focus%5B%5D=ibm-watsonx-governance&focus%5B%5D=domo&focus%5B%5D=sap-master-data-governance-mdg&segment=small-business)

Sponsored

Cloudera

Cloudera is the only hybrid data and AI platform company that large organizations trust to bring AI to their data anywhere it lives. Unlike other providers, Cloudera delivers a consistent cloud experience that converges public clouds, on-prem data centers, and the edge, leveraging a proven open-source foundation. As the pioneer in big data, Cloudera empowers businesses to apply AI and assert control over 100% of their data, in all forms, improving security, governance, and real-time and predictive insights. The world’s largest brands across all industries rely on Cloudera to transform decision-making and ultimately boost bottom lines, safeguard against threats, and save lives. The Cloudera data and AI platform includes: Cloudera AI: Deploy and scale any AI model, anywhere. Cloudera brings compute to governed data where it lives for Private AI anywhere by design. Complete control, security, and governance of mission-critical data, models, agents, and inference ensure faster sovereign AI deployments. Cloudera Data-in-Motion: Make fast decisions from real-time data anywhere. Move data with any structure from any source to any destination seamlessly across hybrid environments, enabling in-the-moment business-critical decisions by processing and analyzing real-time data anywhere, from the edge to AI, as business happens. Cloudera Open Data Lakehouse: Process any data, anywhere, for actionable insights. Make smart decisions with an open data lakehouse powered by Apache Iceberg that delivers trusted, reliable, and unified data to fuel agents, AI applications, and analytics, improving collaboration, breaking silos, and simplifying sharing. Cloudera Unified Data Fabric: Unify security and governance across the entire data estate. Move beyond fragmented data management: Break down silos and connect disparate data sources intelligently and securely to provide a unified view of all organizational data and centralized end-to-end control across complex hybrid data environments.

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Databricks

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: 1,337

How Do G2 Users Rate Databricks?

  • Roles Management: 8.9/10 (Category avg: 8.8/10)
  • Data Discovery: 8.7/10 (Category avg: 8.7/10)
  • Compliance Management: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 8.8/10 (Category avg: 8.7/10)

Who Is the Company Behind Databricks?

  • Seller: Databricks Inc.
  • Company Website:
  • Year Founded: 2013
  • HQ Location: San Francisco, CA
  • Twitter: @databricks
    92,269 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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: 47% Large, 38% Medium

What Do G2 Reviewers Say About Databricks?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use and comprehensive features of Databricks for data warehousing and ML applications.
  • Users praise the ease of use of Databricks, enhancing their experience with intuitive interfaces and reliable services.
  • Users appreciate the seamless integrations of Databricks with AWS and other tools, enhancing daily operations and efficiency.
  • Users value the seamless collaboration offered by Databricks, enhancing teamwork on data projects with real-time insights.
  • Users praise the integrated analytical features of Databricks, enhancing collaborative data processing and insight visualization.
Cons
  • Users note a steep learning curve initially, with confusing permissions and compute modes affecting usability.
  • Users note that the costs can be quite high for utilizing Databricks effectively, especially for large data projects.
  • Users find a steep learning curve with Databricks, especially challenging for newcomers to big data tools.
  • Users find the complexity of Databricks challenging, especially for smaller teams and initial setup processes.
  • Users face complex setup challenges initially, though support helps simplify the experience over time.

What Are Recent G2 Reviews of Databricks?

What Are G2 Users Discussing About Databricks?

Egnyte

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: 1,137

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
  • Company Website:
  • Year Founded: 2008
  • HQ Location: Mountain View, CA
  • Twitter: @Egnyte
    16,127 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,305 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Project Manager, Owner
  • Top Industries: Construction, Marketing and Advertising
  • Company Size: 44% Small, 38% Medium

What Do G2 Reviewers Say About Egnyte?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Egnyte, highlighting its user-friendly interface and seamless integration with tools.
  • Users value the ease of file sharing with Egnyte, enabling smooth collaboration and secure access across teams.
  • Users value the easy sharing feature of Egnyte, enhancing collaboration for remote and in-office team members alike.
  • Users value the robust security features of Egnyte, ensuring their data is well protected and compliant.
  • Users appreciate the easy access to documents, enabling seamless sharing and collaboration with peers and subcontractors.
Cons
  • Users find Egnyte to be expensive, especially for small businesses, coupled with inflexible billing practices.
  • Users note the slow drive accessibility at startup and challenges with file locks and O365 sharing in Egnyte.
  • Users find Egnyte's limited features frustrating, particularly in bulk actions and user permission customizations.
  • Users find Egnyte's interface clunky and slow, making navigation and file management more challenging than expected.
  • Users find lacking features in Egnyte, struggling with bulk actions and unclear AI training tools.

What Are Recent G2 Reviews of Egnyte?

What Are G2 Users Discussing About Egnyte?

IBM watsonx.data

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: 168

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
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    328,202 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer, CEO
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 34% Small, 32% Large

What Do G2 Reviewers Say About IBM watsonx.data?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of IBM watsonx.data, finding it reliable and efficient for data management tasks.
  • Users value the organized data integration and intuitive interface of IBM watsonx.data, enhancing efficiency and analytics.
  • Users value the organized and efficient data management of IBM watsonx.data, enhancing analytics and reporting tasks seamlessly.
  • Users value the seamless data source integration in IBM watsonx.data, enhancing flexibility and efficiency for diverse projects.
  • Users value the ability to unify data across hybrid environments, enhancing flexibility and driving informed decision-making.
Cons
  • Users find the learning curve steep, making initial setup and navigation challenging for newcomers to IBM watsonx.data.
  • Users find the complexity of setting up IBM watsonx.data a barrier, especially for newcomers to IBM technologies.
  • Users find the pricing steep for IBM watsonx.data, making it less accessible for smaller businesses and projects.
  • Users find the difficult setup of IBM watsonx.data time-consuming, with a steep learning curve and complex configurations.
  • Users find IBM watsonx.data difficult to navigate, especially for beginners and those unfamiliar with AI and data analytics.

What Are Recent G2 Reviews of IBM watsonx.data?

Snowflake

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: 713

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.
  • Company Website:
  • Year Founded: 2012
  • HQ Location: 135 Constitution Drive, Menlo Park CA
  • Twitter: @SnowflakeDB
    278 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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% Medium, 43% Large

What Do G2 Reviewers Say About Snowflake?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Snowflake, finding it fast and effective for data sharing and analytics.
  • Users value the reliable features of Snowflake, enjoying its intuitive interface and seamless data integration for analytics.
  • Users find Snowflake's data management capabilities excellent for efficiently aggregating and querying across multiple datasets.
  • Users admire the seamless scalability of Snowflake, effortlessly accommodating work demands and ensuring optimal performance.
  • Users appreciate the fast data analysis of Snowflake, enabling quick insights without infrastructure worries.
Cons
  • Users find Snowflake's high costs burdensome, especially for small businesses with limited budgets.
  • Users find feature limitations in Snowflake, such as lack of code blocks and challenge in permissions management.
  • Users find that cost management requires discipline, as unexpected charges can accumulate quickly without careful monitoring.
  • Users find the cost structure difficult to optimize, leading to unexpectedly high initial expenses during implementation.
  • Users find Snowflake's limited features in dynamic scripts and monitoring hinder flexibility and usability.

What Are Recent G2 Reviews of Snowflake?

What Are G2 Users Discussing About Snowflake?

Salesforce Data 360 (formerly Data Cloud)

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: 306

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
  • Company Website:
  • Year Founded: 1999
  • HQ Location: San Francisco, CA
  • Twitter: @salesforce
    579,511 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    83,223 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Salesforce Developer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 39% Medium, 39% Large

What Do G2 Reviewers Say About Salesforce Data 360 (formerly Data Cloud)?

AI-generated summary from verified user reviews

Pros
  • Users value the real-time platform integration of Salesforce Data 360, enhancing data connectivity and decision-making across ecosystems.
  • Users value the ease of use in Salesforce Data 360, enhancing user experience and simplifying data management.
  • Users appreciate the easy integration of Salesforce Data 360, streamlining workflows and enhancing data accessibility across teams.
  • Users value the effective data aggregation of Salesforce Data 360, unifying diverse sources into a real-time customer profile.
  • Users value the seamless integrations with various platforms, enabling unified customer profiles and enhanced audience targeting.
Cons
  • Users find the steep learning curve of Salesforce Data 360 challenging, hindering quick understanding and effective use.
  • Users find the cost burdens of Salesforce Data 360 to be high due to extensive data integration and usage demands.
  • Users experience a difficult learning curve with Salesforce Data 360, making setup and usability quite challenging.
  • Users find the implementation complexity challenging, particularly for novices, affecting overall user experience and adoption.
  • Users struggle with the complex setup of Salesforce Data 360, facing steep learning curves and extensive training needs.

What Are Recent G2 Reviews of Salesforce Data 360 (formerly Data Cloud)?

What Are G2 Users Discussing About Salesforce Data 360 (formerly Data Cloud)?

IBM watsonx.governance

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
  • Company Website:
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    328,202 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Consulting
  • Company Size: 34% Large, 26% Small

What Do G2 Reviewers Say About IBM watsonx.governance?

AI-generated summary from verified user reviews

Pros
  • Users value the automated compliance tools of IBM watsonx.governance, streamlining governance and ensuring audit-ready documentation effortlessly.
  • Users find IBM watsonx.governance to be easy to use, streamlining governance and reducing manual efforts in AI management.
  • Users value the comprehensive toolkit for responsible AI governance offered by IBM watsonx.governance, enhancing transparency and compliance.
  • Users appreciate the AI Governance & Trust capabilities of IBM watsonx.governance, ensuring ethical and reliable AI deployment.
  • Users appreciate the customizable automated workflows of IBM watsonx.governance, significantly reducing manual efforts and enhancing compliance.
Cons
  • Users find the setup difficulty daunting and time-consuming, particularly when integrating with existing tools and workflows.
  • Users find IBM watsonx.governance to be expensive, making it a tough choice for smaller businesses.
  • Users find the integration issues with IBM watsonx.governance challenging, especially when connecting with non-IBM ecosystems.
  • Users find the learning curve challenging, particularly for new users, impacting their initial experience with the platform.
  • Users face complex implementation challenges due to heavy setup, integration issues, and reliance on IBM systems.

What Are Recent G2 Reviews of IBM watsonx.governance?

Domo

Domo is a software designed to help organizations turn data into actionable insights and tailored data-driven solutions. The software provides data connection, preparation, dynamic reporting, and visualization capabilities by leveraging built-in AI and automation within a single unified interface. It automates workflows and AI agent deployment and reduces the complexity of managing multiple disconnected data tools. Domo addresses business intelligence challenges by enabling both technical and non-technical users to connect diverse data sources and generate insights without requiring separate tooling. The software supports use cases including custom reporting, workflow automation, and AI agent creation for teams across mid-market and enterprise organizations.

Average Rating: 4.3/5.0

Total Reviews: 1,065

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
  • Company Website:
  • Year Founded: 2010
  • HQ Location: American Fork, UT
  • Twitter: @Domotalk
    63,513 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    1,288 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Analyst, Business Analyst
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 28% Large

What Do G2 Reviewers Say About Domo?

AI-generated summary from verified user reviews

Pros
  • Users value Domo's ease of use, making it accessible for all, even those who aren't tech-savvy.
  • Users value the flexible dashboards in Domo, allowing seamless data visualization from various sources.
  • Users find Domo's intuitive design enhances data handling and decision-making, making it accessible for all skill levels.
  • Users praise Domo for its easy integrations, enabling seamless data connections and enhancing data management efficiency.
  • Users value the seamless integration capabilities of Domo, enhancing data management across various platforms and sources.
Cons
  • Users find the learning curve challenging with Domo, often requiring dedicated resources to manage updates and functionalities.
  • Users struggle with missing features in Domo, including outdated systems and limited capabilities in visualizations and connectors.
  • Users are frustrated by data management issues, including upload adjustments and poor organization of datasets in Domo.
  • Users find Domo to be expensive due to high costs associated with features and external consulting needs.
  • Users find Domo's complexity overwhelming, requiring technical expertise and extensive setup that complicate the user experience.

What Are Recent G2 Reviews of Domo?

What Are G2 Users Discussing About Domo?

SAP Master Data Governance (MDG)

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
  • Year Founded: 1972
  • HQ Location: Walldorf
  • Twitter: @SAP
    297,052 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    141,955 employees on LinkedIn®
  • Ownership: NYSE:SAP

Who Uses This Product?

  • Who Uses This: Consultant, SAP MDG Consultant
  • Top Industries: Information Technology and Services, Pharmaceuticals
  • Company Size: 55% Large, 33% Medium

What Do G2 Reviewers Say About SAP Master Data Governance (MDG)?

AI-generated summary from verified user reviews

Pros
  • Users enjoy the ease of use of SAP MDG, simplifying master data governance with smooth, customizable workflows.
  • Users appreciate the single, trusted source of master data in SAP MDG, enhancing data quality and compliance across the organization.
  • Users value the effective centralization and streamlining of master data management offered by SAP MDG, enhancing operational efficiency.
  • Users value the data accuracy of SAP MDG, which enhances compliance and enforces consistent data standards across systems.
  • Users appreciate the seamless data integration of SAP MDG, enabling a reliable and consistent master data environment.
Cons
  • Users find the complex setup of SAP MDG challenging and time-consuming, requiring significant customization for proper implementation.
  • Users find the implementation complex and time-consuming, especially when customizing for unique business requirements and processes.
  • Users highlight data management issues with SAP MDG, citing risks of data manipulation and integration challenges.
  • Users find SAP MDG expensive, especially for a simple solution compared to other alternatives on the market.
  • Users find the setup and configuration complex, often facing delays and requiring extensive IT and business coordination.

What Are Recent G2 Reviews of SAP Master Data Governance (MDG)?

What Are G2 Users Discussing About SAP Master Data Governance (MDG)?

Twilio Segment

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: 556

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
  • Year Founded: 2008
  • HQ Location: San Francisco, CA
  • Twitter: @twilio
    81,644 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    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% Medium, 42% Small

What Do G2 Reviewers Say About Twilio Segment?

AI-generated summary from verified user reviews

Pros
  • Users love the easy integration with multiple platforms, enabling seamless data transfer without engineering effort.
  • Users appreciate the easy integrations with various platforms, simplifying data sharing without needing engineering skills.
  • Users appreciate the ease of use of Twilio Segment, with straightforward setup and seamless integration of data sources.
  • Users appreciate the easy setup of Twilio Segment, making integration with multiple data sources straightforward and efficient.
  • Users value the seamless integration capabilities of Twilio Segment, simplifying data connectivity across multiple platforms.
Cons
  • Users feel that Twilio Segment is expensive, particularly regarding implementation and ongoing costs, making it hard to recommend.
  • Users find the pricing issues of Twilio Segment a significant barrier, especially with the high costs involved.
  • Users face a high learning curve with Twilio Segment, complicating implementation and causing long-term challenges.
  • Users express frustration over poor customer support and a steep learning curve, hindering their overall experience with Segment.
  • Users face challenges due to poor interface design, impacting reporting, audience creation, and overall usability of Segment.

What Are Recent G2 Reviews of Twilio Segment?

What Are G2 Users Discussing About Twilio Segment?

SAS Viya

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: 775

How Do G2 Users Rate SAS Viya?

  • Roles Management: 8.4/10 (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.
  • Company Website:
  • Year Founded: 1976
  • HQ Location: Cary, NC
  • Twitter: @SASsoftware
    60,863 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18,638 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Student, Biostatistician
  • Top Industries: Pharmaceuticals, Banking
  • Company Size: 33% Small, 33% Large

What Do G2 Reviewers Say About SAS Viya?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of SAS Viya, which simplifies data visualization and enhances decision-making efficiency.
  • Users value the sophisticated analytical capabilities of SAS Viya, enabling easy deployment and real-time decision-making.
  • Users appreciate the advanced analytical methods offered by SAS Viya, enhancing decision-making and logistical data analysis capabilities.
  • Users value the end-to-end data lifecycle tooling of SAS Viya, enhancing business insight and strategic decision-making.
  • Users love the intuitive interface of SAS Viya, making data analysis and model deployment effortless for all skill levels.
Cons
  • Users find SAS Viya to have a learning difficulty, making it challenging for non-technical individuals to navigate effectively.
  • Users find the learning curve steep, making it challenging for non-technical users to navigate SAS Viya effectively.
  • Users find the visualization complexity in SAS Viya challenging, particularly for non-technical users and beginners.
  • Users struggle with the difficult learning curve of SAS Viya, particularly for new and non-technical users.
  • Users find the expensive pricing of SAS Viya to be a significant barrier to entry for potential adoption.

What Are Recent G2 Reviews of SAS Viya?

What Are G2 Users Discussing About SAS Viya?

Orchestry

Orchestry is a Microsoft 365 management and automation platform that accelerates cost savings, storage reduction, sprawl prevention and risk remediation. Our platform is purpose-built with an emphasis on user experience and actionability so you can implement and start making an impact in days, not weeks. Orchestry streamlines workspace provisioning and lifecycle management, automates manual governance tasks, identifies and prioritizes potential risks, and consolidates data into centralized reports and dashboards. It goes beyond native capabilities so you can get control of your tenant, prevent future issues, scale with confidence, and get ready for AI fast.

Average Rating: 4.8/5.0

Total Reviews: 103

How Do G2 Users Rate Orchestry?

  • Roles Management: 9.4/10 (Category avg: 8.8/10)
  • Data Discovery: 8.7/10 (Category avg: 8.7/10)
  • Compliance Management: 9.4/10 (Category avg: 8.9/10)
  • Ease of Use: 9.5/10 (Category avg: 8.7/10)

Who Is the Company Behind Orchestry?

  • Seller: Orchestry Software Inc.
  • Company Website:
  • Year Founded: 2020
  • HQ Location: Vancouver, British Columbia
  • Twitter: @OrchestrySoft
    459 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    43 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Senior Consultant
  • Top Industries: Information Technology and Services, Consulting
  • Company Size: 42% Medium, 42% Small

What Do G2 Reviewers Say About Orchestry?

AI-generated summary from verified user reviews

Pros
  • Users commend the ease of use of Orchestry, enhancing project management with intuitive workflows and templates.
  • Users value Orchestry for its time-saving features, streamlining tasks and enhancing overall efficiency in SharePoint management.
  • Users appreciate the modern and intuitive user interface of Orchestry, which simplifies tasks and enhances productivity.
  • Users value the effective workflow management in Orchestry, enhancing project organization and communication across departments.
  • Users value the automation in Orchestry, simplifying workspace management and enhancing efficiency in M365 processes.
Cons
  • Users find the steep learning curve of Orchestry challenging, requiring significant time to master its features.
  • Users find the difficult setup process overwhelming, particularly with customization and the learning curve for new users.
  • Users find the poor UI of Orchestry challenging, wishing for a more intuitive and efficient interface design.
  • Users find the setup difficulty challenging, with a steep learning curve for new users and customization options.
  • Users find the initial setup challenging due to extensive customization options and the need for dedicated learning time.

What Are Recent G2 Reviews of Orchestry?

MineOS

MineOS is the highest-rated data privacy and risk management platform on G2, introducing a new operating model: Autonomous Privacy. Designed for the modern enterprise, MineOS uses AI agents to continuously orchestrate privacy and risk operations across your entire ecosystem. From system discovery and data classification to DSR fulfillment, assessment autofill, and transfer tracking, agents run the work behind your privacy program, keeping your data inventory accurate and your risk continuously monitored. As your environment evolves, agents stay ahead - detecting changes, updating records, and triggering workflows automatically. Deploy in days, not months, and move from manual operations to a program that runs continuously, so your team can focus on high-impact strategy. Visit us at 👉 https://MineOS.ai

Average Rating: 4.8/5.0

Total Reviews: 233

How Do G2 Users Rate MineOS?

  • Roles Management: 9.0/10 (Category avg: 8.8/10)
  • Data Discovery: 9.7/10 (Category avg: 8.7/10)
  • Compliance Management: 9.6/10 (Category avg: 8.9/10)
  • Ease of Use: 9.5/10 (Category avg: 8.7/10)

Who Is the Company Behind MineOS?

  • Seller: Mine
  • Company Website:
  • Year Founded: 2019
  • HQ Location: 94 Yigal Alon st., Alon 1 Tower, Tel Aviv 6789155, Israel
  • Twitter: @SayMineTech
    1,344 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    146 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Product Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 49% Medium, 29% Small

What Do G2 Reviewers Say About MineOS?

AI-generated summary from verified user reviews

Pros
  • Users highly value the excellent customer support from MineOS that simplifies setup and enhances user experience.
  • Users appreciate the user-friendly design of MineOS, making navigation and management of data requests effortless.
  • Users appreciate the easy automations of MineOS, enhancing efficiency and simplifying privacy compliance tasks.
  • Users commend MineOS for its exceptional customer support and intuitive design that enhances privacy compliance management.
  • Users benefit from efficient privacy management with MineOS, simplifying data governance and improving compliance visibility.
Cons
  • Users find the interface cumbersome and non-intuitive, leading to frustration and a slow experience with MineOS.
  • Users are frustrated with the inefficient search functionality, finding it cumbersome to locate specific errors among excessive information.
  • Users note that integration issues in MineOS hinder functionality, with missing services and extensive customization time required.
  • Users notice a lack of automation in MineOS, making manual tasks time-consuming and less efficient.
  • Users note the limited customization in MineOS, especially regarding integrations and template modifications, affecting overall functionality.

What Are Recent G2 Reviews of MineOS?

What Are G2 Users Discussing About MineOS?

Oracle Enterprise Manager

Oracle Enterprise Manager is Oracle’s on-premise management platform that provides a single dashboard to manage all Oracle deployments, in the data center or in the cloud. Oracle Enterprise Manager offers improved visibility and control across your entire IT estate.

Average Rating: 4.3/5.0

Total Reviews: 179

How Do G2 Users Rate Oracle Enterprise Manager?

  • Roles Management: 8.1/10 (Category avg: 8.8/10)
  • Data Discovery: 8.6/10 (Category avg: 8.7/10)
  • Compliance Management: 8.9/10 (Category avg: 8.9/10)
  • Ease of Use: 8.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Oracle Enterprise Manager?

  • Seller: Oracle
  • Year Founded: 1977
  • HQ Location: Austin, TX
  • Twitter: @Oracle
    827,997 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    208,078 employees on LinkedIn®
  • Ownership: NYSE:ORCL

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 61% Large, 27% Medium

What Are Recent G2 Reviews of Oracle Enterprise Manager?

What Are G2 Users Discussing About Oracle Enterprise Manager?

OneTrust Privacy Automation

OneTrust Privacy Automation is a software designed to simplify compliance, automate privacy operations, and enable the responsible use of data and AI across an organization's full data estate. The software provides consent management, data subject request automation, and integrated risk management capabilities by leveraging evergreen data mapping, real-time compliance monitoring, and privacy and AI risk workflows. It automates governance across privacy, security, IT, third-party, and AI risk domains and reduces manual compliance effort through policy enforcement applied across the entire data lifecycle. OneTrust Privacy Automation addresses regulatory and operational risk challenges by enabling seamless collaboration between data teams and risk teams within a single governed platform. The software supports use cases including privacy program management, AI risk governance, data subject rights fulfillment, and compliance reporting for more than 14,000 customers globally across enterprise and mid-market organizations.

Average Rating: 4.3/5.0

Total Reviews: 143

How Do G2 Users Rate OneTrust Privacy Automation?

  • Roles Management: 8.3/10 (Category avg: 8.8/10)
  • Data Discovery: 8.8/10 (Category avg: 8.7/10)
  • Compliance Management: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 8.2/10 (Category avg: 8.7/10)

Who Is the Company Behind OneTrust Privacy Automation?

  • Seller: OneTrust
  • Company Website:
  • Year Founded: 2016
  • HQ Location: Atlanta, Georgia
  • Twitter: @OneTrust
    6,566 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,487 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Protection Officer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 45% Large, 40% Medium

What Do G2 Reviewers Say About OneTrust Privacy Automation?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of OneTrust Privacy Automation, simplifying privacy workflows and enhancing team collaboration.
  • Users appreciate the comprehensive all-in-one platform of OneTrust Privacy Automation, streamlining privacy workflows and enhancing compliance.
  • Users appreciate the automation capabilities of OneTrust Privacy Automation, streamlining privacy workflows and enhancing compliance efficiency.
  • Users value the centralized automation of privacy workflows in OneTrust, enhancing compliance efficiency and scalability.
  • Users value the comprehensive all-in-one platform of OneTrust Privacy Automation, enhancing efficiency in managing privacy workflows.
Cons
  • Users find the complexity of OneTrust Privacy Automation daunting, requiring extensive time and training for effective setup.
  • Users find the complexity issues of OneTrust Privacy Automation overwhelming, requiring extensive training and time for proper setup.
  • Users find the complexity of setup overwhelming, requiring significant time and training to navigate the interface.
  • Users desire improved reporting and dashboard features in OneTrust Privacy Automation for better usability and functionality.
  • Users highlight the steep learning curve of OneTrust Privacy Automation, requiring significant time and training for effective use.

What Are Recent G2 Reviews of OneTrust Privacy Automation?

Teradata Autonomous Knowledge Platform

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: 356

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?

Who Uses This Product?

  • Who Uses This: Data Engineer, Software Engineer
  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 69% Large, 22% Medium

What Do G2 Reviewers Say About Teradata Autonomous Knowledge Platform?

AI-generated summary from verified user reviews

Pros
  • Users highlight the extreme performance of the Teradata Autonomous Knowledge Platform, especially for processing large data volumes efficiently.
  • Users value the high performance query execution in Teradata, enhancing their business analytics capabilities significantly.
  • Users value the scalability of Teradata Autonomous Knowledge Platform, enhancing data integration and operational efficiency significantly.
  • Users commend the high performance and speed of Teradata, efficiently processing large datasets without issues.
  • Users value the fast processing of large datasets with Teradata, praising its performance and stability during operations.
Cons
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, impacting adoption and productivity temporarily.
  • Users find the steep learning curve of Teradata Autonomous Knowledge Platform challenging, particularly for those lacking technical expertise.
  • Users find the complexity of Teradata's platform challenging, particularly for non-technical users and new adopters.
  • Users express concerns over the cost management requirements needed to avoid potential misusage and performance issues.
  • Users feel the high cost of Teradata Autonomous Knowledge Platform is a significant drawback affecting accessibility.

What Are Recent G2 Reviews of Teradata Autonomous Knowledge Platform?

What Are G2 Users Discussing About Teradata Autonomous Knowledge Platform?