Best Data Governance Tools - Page 2

How Many Data Governance Tools Products Does G2 Track?

Total Products under this Category: 243

Category Stats (Sep 2026)

  • Average Rating: 4.45/5 The average rating of products in this category, based on all submitted ratings
  • Top Trending Product: ER/Studio (+2.77%) - Among all products in this category, ER/Studio recorded the largest rating increase compared to last month

Last updated: September 01, 2026

How Does G2 Rank Data Governance Tools Products?

Why You Can Trust G2's Software Rankings:

  • 30 Analysts and Data Experts
  • 12,800+ Authentic Reviews
  • 243+ 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, Snowflake, IBM watsonx.data, Data 360 (formerly Salesforce Data Cloud), IBM watsonx.governance, Egnyte, Domo, and SAS Viya.

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

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: 8.8/10)
  • 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
    2,522 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 appreciate the ease of use of OneTrust Privacy Automation, benefiting from its organized and centralized platform.
  • Users value the unified dashboard of OneTrust Privacy Automation for comprehensive security and privacy oversight.
  • Users value the comprehensive all-in-one platform of OneTrust Privacy Automation, streamlining privacy tasks efficiently and effectively.
  • Users value the centralization and automation of privacy workflows, enhancing compliance and reducing manual effort efficiently.
  • Users value the centralized automation of privacy workflows, enhancing compliance efficiency and reducing manual effort significantly.
Cons
  • Users find the learning difficulty of OneTrust Privacy Automation challenging, requiring significant time and training for setup.
  • Users find the complexity of OneTrust Privacy Automation challenging, requiring significant time and training for effective configuration.
  • Users find the complexity of the setup process daunting, requiring significant time and training for proper configuration.
  • Users find the steep learning curve of OneTrust Privacy Automation challenging, particularly for teams lacking support.
  • Users find the complex implementation of OneTrust Privacy Automation overwhelming, requiring significant time and training for setup.

What Are Recent G2 Reviews of OneTrust Privacy Automation?

Informatica Data & AI Governance, Privacy

Informatica Data & AI Governance, Privacy is a comprehensive, cloud-native solution designed to empower organizations with predictive data intelligence. By integrating data discovery, cataloging, governance, and lineage capabilities, it enables businesses to find, understand, trust, and access their data assets efficiently. This unified approach simplifies collaboration between technical and business teams, ensuring that data-driven decisions are based on accurate and trustworthy information. With AI-powered automation, the platform enhances data classification, curation, and quality management, facilitating faster and more reliable analytic insights. By providing a holistic view of data relationships and lineage, Informatica Cloud Data Governance and Catalog helps organizations turn their data into a competitive advantage. Key Features and Functionality: - Automated Data Discovery and Classification: Utilizes AI to automatically find, classify, and inventory critical data across cloud and on-premises environments. - Comprehensive Data Cataloging: Creates a centralized repository of data assets, linking technical metadata with business context for enhanced understanding. - End-to-End Data Lineage: Provides visual representations of data flow and transformations, enabling users to trace data origins and assess impact. - Integrated Data Quality Management: Monitors and ensures data quality through profiling, validation, and cleansing processes. - Collaboration and Social Curation: Facilitates teamwork by allowing users to share insights, certify data assets, and engage in discussions through comments and ratings. - AI Model Governance: Manages and governs AI models alongside data, ensuring compliance and trust in AI-driven decisions. Primary Value and Problem Solved: Informatica Data & AI Governance, Privacy addresses the critical need for organizations to manage and govern their data assets effectively in an increasingly complex data landscape. By providing a unified platform that automates data discovery, classification, and quality management, it ensures that businesses can trust their data for decision-making. The solution enhances collaboration between technical and business users, linking technical metadata with business context to provide a holistic view of data assets. This comprehensive approach not only accelerates the delivery of reliable analytic insights but also ensures compliance with data governance policies, ultimately turning data into a strategic asset that drives innovation and competitive advantage.

Average Rating: 4.1/5.0

Total Reviews: 146

How Do G2 Users Rate Informatica Data & AI Governance, Privacy?

  • Roles Management: 8.5/10 (Category avg: 8.8/10)
  • Data Discovery: 9.0/10 (Category avg: 8.8/10)
  • 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 Informatica Data & AI Governance, Privacy?

  • Seller: Informatica
  • Company Website:
  • Year Founded: 1993
  • HQ Location: Redwood City, CA
  • Twitter: @Informatica
    99,643 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    2,473 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 45% Large, 30% Small

What Do G2 Reviewers Say About Informatica Data & AI Governance, Privacy?

AI-generated summary from verified user reviews

Pros
  • Users value the automatic discovery and governance of enterprise data, enhancing clarity and trust in data management.
Cons
  • Users often face integration issues due to complex setup and design, especially in large enterprises with legacy systems.

What Are Recent G2 Reviews of Informatica Data & AI Governance, Privacy?

What Are G2 Users Discussing About Informatica Data & AI Governance, Privacy?

Atlan

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: 134

How Do G2 Users Rate Atlan?

  • Roles Management: 8.7/10 (Category avg: 8.8/10)
  • Data Discovery: 9.5/10 (Category avg: 8.8/10)
  • Compliance Management: 8.5/10 (Category avg: 8.9/10)
  • Ease of Use: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Atlan?

  • Seller: Atlan
  • Company Website:
  • Year Founded: 2019
  • HQ Location: New York, US
  • Twitter: @AtlanHQ
    9,804 Twitter followers
  • LinkedIn® Page: in.linkedin.com
    558 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Financial Services, Information Technology and Services
  • Company Size: 51% Medium, 42% Large

What Do G2 Reviewers Say About Atlan?

AI-generated summary from verified user reviews

Pros
  • Users commend Atlan for its ease of use, making data collaboration smooth and accessible for all.
  • Users appreciate Atlan's intuitive user interface and seamless integration, enhancing collaboration and administrative efficiency.
  • Users appreciate Atlan's exceptional data discovery and collaboration features, simplifying data management and ensuring high quality.
  • Users value the lineage feature of Atlan for its ability to seamlessly integrate and reveal data dependencies.
  • Users appreciate the easy setup of Atlan, enhancing productivity and collaboration without technical barriers.
Cons
  • Users find the learning curve steep with Atlan, requiring time to fully leverage its extensive features.
  • Users note limited functionality in Atlan, particularly with AI capabilities and integration options across teams and tools.
  • Users find user interface issues hinder usability, with limited customization and a steep learning curve for business users.
  • Users find the difficult learning curve with Atlan challenging, particularly due to its many features and configurations.
  • Users report integration issues with Teams and non-native databases, requiring more efficient setup and user management.

What Are Recent G2 Reviews of Atlan?

ON EBX

ON EBX, formerly TIBCO EBX, is an enterprise platform for governing master data, reference data, metadata, and data products in one unified environment. It helps organizations create trusted, governed data foundations for analytics, operational applications, automation, and AI. Unlike fragmented data-management toolsets, ON EBX brings data modeling, stewardship, workflow, data quality, hierarchy management, security, versioning, audit, and integration together in a single, configurable platform. Key Benefits of ON EBX Unified, multi-domain data management Manage master data, reference data, metadata, hierarchies, and relationships across multiple business domains. Establish consistent, trusted data for operational systems, analytics, regulatory reporting, and AI. Support customer, supplier, product, location, finance, organization, and other enterprise data domains on one platform. Model-driven and configurable ON EBX uses a “what you model is what you get” approach to generate data-driven applications directly from governed data models. Configure data models, workflows, business rules, user experiences, permissions, and data services without building every capability from scratch. Adapt quickly as business requirements, regulations, and operating models evolve. Built-in governance and stewardship Provide business users and data stewards with intuitive tools to search, create, review, compare, approve, and govern data. Coordinate changes through configurable workflows, ownership, validation, and approval processes. Maintain history, lineage, versioning, and a complete audit trail of data changes. Trusted data for better decisions Improve the accuracy and consistency of reports, dashboards, analytical models, and AI applications. Reduce reconciliation effort by establishing governed definitions, hierarchies, relationships, and golden records. Increase confidence in the data used across business and technology teams. Enterprise security and control Protect sensitive information through granular permissions and role-based access controls. Support governance requirements such as approval controls, encryption, masking, auditability, and separation of duties. Apply security and governance consistently across domains, datasets, workflows, and services. Business-friendly collaboration Enable business users, data stewards, analysts, developers, and IT teams to work together through a browser-based experience. Give accountable business teams control over shared data while IT maintains enterprise architecture, security, and integration standards. Promote adoption through self-service access, configurable interfaces, and collaborative governance. Flexible deployment and integration Deploy ON EBX on premises, in private or public cloud environments, or through a hosted deployment model. Integrate governed data with enterprise applications, databases, data platforms, APIs, and downstream analytical systems. Create and distribute trusted operational data through reusable services and governed processes. Lower operational complexity Consolidate capabilities that would otherwise require multiple disconnected data-management tools. Reduce duplicate data, manual cleansing, reconciliation effort, and replicated datasets. Accelerate the delivery of governed data applications while lowering long-term development and maintenance costs.

Average Rating: 4.4/5.0

Total Reviews: 67

How Do G2 Users Rate ON EBX?

  • Roles Management: 8.3/10 (Category avg: 8.8/10)
  • Data Discovery: 7.2/10 (Category avg: 8.8/10)
  • Compliance Management: 8.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.7/10)

Who Is the Company Behind ON EBX?

Who Uses This Product?

  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 62% Large, 29% Medium

What Do G2 Reviewers Say About ON EBX?

AI-generated summary from verified user reviews

Pros
  • Users find that TIBCO EBX provides a seamless data management experience, simplifying processes and reducing application clutter.
  • Users enjoy the exceptional user experience of Tibco EBX, finding data management effortless and streamlined.
  • Users appreciate the ease of use of TIBCO EBX, finding data management effortless and enhancing their experience.
  • Users value the extensive integrations offered by TIBCO EBX, enabling seamless connectivity with various systems.
  • Users appreciate the interactive UI of Tibco EBX, making data management effortless and enhancing the overall experience.
Cons
  • Users note difficult navigation in the online documentation, which could enhance their overall experience with Tibco EBX.
  • Users find the difficulty learning ON EBX requires considerable effort and time to master its functionalities.
  • Users find the learning curve steep, requiring significant effort to become proficient with ON EBX.
  • Users note that the navigation in the online documentation is poor, suggesting it needs significant improvement for better usability.
  • Users note that the slow performance of ON EBX can hinder the learning process and overall experience.

What Are Recent G2 Reviews of ON EBX?

Quest Data Intelligence

Quest Data Intelligence ensures trusted data and AI models are easy to find, understand, govern, score and use across your enterprise. With Quest Data Intelligence, organizations reduce operational risk, ensure regulatory oversight, and improve trust in analytics and AI through a transparent, explainable data foundation.

Average Rating: 4.3/5.0

Total Reviews: 30

How Do G2 Users Rate Quest Data Intelligence?

  • Roles Management: 8.3/10 (Category avg: 8.8/10)
  • Data Discovery: 9.3/10 (Category avg: 8.8/10)
  • Compliance Management: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Quest Data Intelligence?

  • Seller: Quest Software
  • Company Website:
  • Year Founded: 1987
  • HQ Location: Austin, TX
  • Twitter: @Quest
    17,109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,507 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 37% Medium, 37% Small

What Do G2 Reviewers Say About Quest Data Intelligence?

AI-generated summary from verified user reviews

Pros
  • Users value the strong end-to-end governance support of Quest Data Intelligence, enhancing regulatory mapping and compliance efforts.
  • Users value the strong end-to-end governance and effective database scanning for comprehensive data mapping in regulatory work.
  • Users value the end-to-end governance and comprehensive database scanning for effective data hierarchy mapping in regulatory tasks.
  • Users value the strong end-to-end governance in Quest Data Intelligence, enhancing regulatory compliance and data hierarchy mapping.
Cons
  • Users find the cost steep, needing substantial justification for the investment in Quest Data Intelligence.
  • Users find the outdated design of Quest Data Intelligence less appealing compared to more modern tools.
  • Users find the poor customer support insufficient for maintaining the software, complicating their overall experience.
  • Users find the poor interface design detracts from usability and makes the tool less appealing compared to others.
  • Users struggle with the user adoption difficulty due to a less polished UI and the need for extensive support.

What Are Recent G2 Reviews of Quest Data Intelligence?

Data Quality Navigator

Data Quality Navigator (DQN) is a business-driven, end-to-end data quality platform that enables organizations to understand, improve, and continuously manage data quality in a measurable and scalable way. It moves data quality away from purely technical responsibility and enables business users to take ownership working with intuitive processes that reflect real operational needs. DQN comes with 2,500+ pre-built rules based on real business issues, so organizations don’t have to start from scratch. Instead, they can focus directly on the most critical problems and see measurable improvements within weeks. This fast, impact-focused approach helps stabilize operations early, avoid risks such as failed migrations or production delays, and build continuous improvement over time. Key Functionalities → Data Integration (Seamlessly connect and synchronize data across systems) → Data Profiling & Assessment (Understand data quality and structure) → Data Validation (Choose from over 2,500 predefined validation rules or create your own) → Data Harmonization & Deduplication (Create unified and consistent records) → Data Cleansing (Resolve errors and improve data reliability) → Data Enrichment (Enhance data with additional business context) → Automated Data Quality (Use AI-powered agents to identify, cleanse, enrich, harmonize, and optimize data at scale) → Data Migration (Prepare, map, and validate data for target systems) → Data Governance (Ensure ownership, control, and sustainable quality)

Average Rating: 4.7/5.0

Total Reviews: 23

How Do G2 Users Rate Data Quality Navigator?

  • Ease of Use: 9.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Data Quality Navigator?

  • Seller: BearingPoint
  • Company Website:
  • Year Founded: 2002
  • HQ Location: Amsterdam, North Holland, Netherlands
  • Twitter: @BearingPoint
    7,317 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    10,087 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 56% Large, 24% Small

What Are Recent G2 Reviews of Data Quality Navigator?

DataGalaxy

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: 8.8/10)
  • 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
  • Company Website:
  • Year Founded: 2015
  • HQ Location: Lyon, Rhone-Alpes
  • Twitter: @DataGalaxy
    864 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    96 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Insurance, Banking
  • Company Size: 54% Large, 43% Medium

What Do G2 Reviewers Say About DataGalaxy?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of DataGalaxy, finding it simple to implement and customize for various profiles.
  • Users value the easy integration of DataGalaxy with primary data tools, enhancing their data infrastructure effortlessly.
  • Users commend the user-friendly interface of DataGalaxy, enhancing their ability to visualize complex data lineages easily.
  • Users appreciate the seamless collaboration in DataGalaxy, enabling effective teamwork and unified data management across teams.
  • Users value the automation features of DataGalaxy, enhancing efficiency and simplifying metadata management across their organization.
Cons
  • Users note limited functionality in DataGalaxy, citing the need for better management capabilities and usability improvements.
  • Users find the user interface not intuitive and seek improvements for better functionality and usability.
  • Users find the missing features of DataGalaxy, especially in automation and policy management, limiting their experience.
  • Users point out the product immaturity of DataGalaxy, noting its interface and functions need further development.
  • Users find the interface not intuitive and face challenges with unrefined functions and metadata import connectors.

What Are Recent G2 Reviews of DataGalaxy?

ILUM

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: 8.8/10)
  • 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
  • Company Website:
  • Year Founded: 2019
  • HQ Location: Santa Fe, US
  • Twitter: @IlumCloud
    19 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    5 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Telecommunications
  • Company Size: 52% Large, 35% Medium

What Do G2 Reviewers Say About ILUM?

AI-generated summary from verified user reviews

Pros
  • Users praise ILUM for its ease of use, with a clean UI and quick deployment enhancing productivity and workflow.
  • Users praise ILUM for its seamless integration, user-friendly interface, and excellent customer support, streamlining data management effectively.
  • Users value the seamless integrations of ILUM, enhancing productivity by connecting various systems and streamlining workflows.
  • Users love the ease of setup with ILUM, noting quick deployments and user-friendly interfaces that enhance productivity.
  • Users value the easy integrations of ILUM, enhancing their data workflows and simplifying complex processes effortlessly.
Cons
  • Users note that the complex setup of ILUM can be challenging, requiring time and effort to configure properly.
  • Users note the difficult setup of ILUM, requiring experimentation and digging for advanced configurations and integrations.
  • Users note the steep learning curve for new users, though intuitive daily use improves after initial setup.
  • Users note that the UX could be improved with more intuitive navigation and clearer configuration options.
  • Users find ILUM's complexity in advanced configurations may require time and effort to fully navigate and optimize.

What Are Recent G2 Reviews of ILUM?

Satori Data Security Platform

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: 87

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: 8.8/10)
  • 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
  • Company Website:
  • Year Founded: 1996
  • HQ Location: Eatontown, New Jersey, United States
  • Twitter: @Commvault
    64,666 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,551 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Software Engineer
  • Top Industries: Computer Software, Computer & Network Security
  • Company Size: 54% Medium, 26% Large

What Do G2 Reviewers Say About Satori Data Security Platform?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Satori Data Security Platform allows for seamless setup and management of data security.
  • Users find that Satori provides simplified data security management, enhancing access control and data protection effectively.
  • Users value Satori for its practical and powerful data security, enabling results delivery without compromise.
  • Users appreciate the granular data access control in Satori, which enhances authority and security efficiently.
  • Users appreciate the detailed data access control of Satori, enabling granular control based on authority and necessity.
Cons
  • Users find the complexity of policy enforcement challenging, especially with diverse datasets and user/role combinations.
  • Users find the complexity for small teams challenging due to diverse datasets and policy enforcement requirements.
  • Users experience occasional slow performance during large queries, requiring planning and resources for optimal functionality.
  • Users consider the pricing to be high, feeling it could be more affordable, especially for smaller teams.
  • Users face integration issues with older systems, resulting in added manual efforts and complexity during setup.

What Are Recent G2 Reviews of Satori Data Security Platform?

erwin Data Modeler

Part of the Quest erwin Data Management Platform, delivering industry-leading enterprise data modeling. erwin Data Modeler provides the blueprints for trusted data. Integrated with erwin Data Intelligence, it connects models to governed metadata and business context - ensuring that what’s delivered in production matches the design, so data products are accurate, governed, and AI-ready.

Average Rating: 4.2/5.0

Total Reviews: 124

How Do G2 Users Rate erwin Data Modeler?

  • Roles Management: 8.1/10 (Category avg: 8.8/10)
  • Data Discovery: 8.0/10 (Category avg: 8.8/10)
  • Compliance Management: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.7/10)

Who Is the Company Behind erwin Data Modeler?

  • Seller: Quest Software
  • Company Website:
  • Year Founded: 1987
  • HQ Location: Austin, TX
  • Twitter: @Quest
    17,109 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,507 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Data Engineer
  • Top Industries: Information Technology and Services, Computer Software
  • Company Size: 42% Small, 37% Medium

What Do G2 Reviewers Say About erwin Data Modeler?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of erwin Data Modeler, facilitating collaboration and clarity in data visualization.
  • Users value the ease of collaboration in erwin Data Modeler, enhancing alignment between technical and business teams.
  • Users appreciate the clarity in designing and visualizing database structures with erwin Data Modeler, enhancing collaboration and reducing errors.
  • Users value the ease of use for data governance in erwin Data Modeler, facilitating better collaboration and reporting.
  • Users value the seamless data management capabilities of erwin Data Modeler across various environments and data sources.
Cons
  • Users find the licensing costs high, prompting many to switch to more affordable data modeling solutions.
  • Users find the complexity of erwin Data Modeler challenging, especially for new users navigating its outdated interface.
  • Users find the difficult interface of erwin Data Modeler challenging, especially for newcomers to data modeling.
  • Users find the limited customization options of erwin Data Modeler restrict their experience and flexibility in design.
  • Users find the outdated design of erwin Data Modeler makes it challenging for new users to adapt quickly.

What Are Recent G2 Reviews of erwin Data Modeler?

What Are G2 Users Discussing About erwin Data Modeler?

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: 8.8/10)
  • 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
    44 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 Orchestry for its ease of use, simplifying workflows and enhancing collaboration across teams and departments.
  • Users find Orchestry to be time-saving, simplifying administration and allowing for quick bulk actions and easy governance.
  • Users appreciate the modern and intuitive user interface of Orchestry, enhancing usability and saving valuable time.
  • Users praise Orchestry for its effective workflow management, enhancing communication and project organization across departments.
  • Users appreciate the capabilities for governance and improved management in Orchestry, transforming their Microsoft 365 environment positively.
Cons
  • Users find the steep learning curve challenging, requiring significant time and effort to master Orchestry's features.
  • Users find the steep learning curve of Orchestry requires significant time and effort for customization and setup.
  • Users find the initial setup challenging, requiring significant time and effort to navigate and customize effectively.
  • Users find the difficult setup of Orchestry to be overwhelming, especially during the initial implementation phase.
  • Users find the poor UI of Orchestry challenging, wishing for a more intuitive and user-friendly interface.

What Are Recent G2 Reviews of Orchestry?

OWOX

OWOX Data Marts is a Free Forever Self-Service Analytics Platform that brings live, trusted data to spreadsheets and dashboards of decision-makers. Ask in plain English or click to build – your trusted reports update in real time with no analyst in the loop. With OWOX Data Marts, companies grow revenue as fast as they collect new data by enabling self-service reporting for everyone. Trusted by 165,000+ users in data teams, but also in marketing, finance, and product teams: from fast-scaling startups to global enterprises, OWOX products powers decisions across every department with data people actually trust. ‍ Self-hosted and Cloud Deployment are available to suit any data stack. Imagine a world where exploring data is as easy as driving a car, without the limitations of public transport (traditional BI dashboards) or the cost of a private driver (data analysts). That's exactly what we assure you!

Average Rating: 4.9/5.0

Total Reviews: 290

How Do G2 Users Rate OWOX?

  • Ease of Use: 8.8/10 (Category avg: 8.7/10)

Who Is the Company Behind OWOX?

  • Seller: OWOX
  • Year Founded: 2002
  • HQ Location: WALNUT, California
  • Twitter: @owox
    435 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Chief Marketing Officer, CEO
  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 48% Small, 43% Medium

What Do G2 Reviewers Say About OWOX?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of OWOX, finding it reliable and quick to implement without issues.
  • Users appreciate the excellent support team and flexibility of OWOX in addressing their unique needs.
  • Users value the transparency and accessibility of data ownership with OWOX, enhancing their data management capabilities.
  • Users value the excellent customer support from OWOX, appreciating their responsiveness and ongoing assistance.
  • Users value the ease of use and insightful analytics of OWOX, significantly enhancing their data-driven decisions.
Cons
  • Users face data management issues with OWOX, highlighting bugs and scheduling reliability concerns affecting their experience.
  • Users face error handling challenges with OWOX, often requiring dedicated resources for troubleshooting and issue resolution.
  • Users find the pricing structure expensive, wishing for more affordable options to enhance their experience.
  • Users feel the integration issues with third-party apps hinder the overall functionality of OWOX.
  • Users desire more step-by-step instructions and greater reliability in scheduling features for OWOX.

What Are Recent G2 Reviews of OWOX?

What Are G2 Users Discussing About OWOX?

Claravine

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: 53

How Do G2 Users Rate Claravine?

  • Roles Management: 9.2/10 (Category avg: 8.8/10)
  • Data Discovery: 6.7/10 (Category avg: 8.8/10)
  • Compliance Management: 9.4/10 (Category avg: 8.9/10)
  • Ease of Use: 8.9/10 (Category avg: 8.7/10)

Who Is the Company Behind Claravine?

  • Seller: Claravine
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Provo, Utah
  • Twitter: @claravinesocial
    952 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    68 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Marketing and Advertising, Information Technology and Services
  • Company Size: 57% Large, 26% Medium

What Are Recent G2 Reviews of Claravine?

What Are G2 Users Discussing About Claravine?

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: 8.8/10)
  • 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
    207,576 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?

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: 4.7/5.0

Total Reviews: 234

How Do G2 Users Rate MineOS?

  • Roles Management: 9.0/10 (Category avg: 8.8/10)
  • Data Discovery: 9.7/10 (Category avg: 8.8/10)
  • 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
    166 employees on LinkedIn®

Who Uses This Product?

  • Who Uses This: Product Manager
  • Top Industries: Computer Software, Information Technology and Services
  • Company Size: 50% Medium, 29% Small

What Do G2 Reviewers Say About MineOS?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the excellent customer support from MineOS, which simplifies integration and enhances the overall experience.
  • Users highly value the automation features of MineOS, appreciating the efficiency and support in managing tasks.
  • Users value the efficient privacy management of MineOS, enhancing data governance and simplifying compliance processes.
  • Users highlight the ease of use of MineOS with its intuitive design and seamless integrations enhancing efficiency.
  • Users highlight the exceptional customer support of MineOS, ensuring prompt assistance and open communication at all times.
Cons
  • Users feel that the hard-coded integrations in MineOS limit functionality, highlighting a need for enhancements and efficiency improvements.
  • Users find the interface cumbersome, requiring many clicks for basic tasks and feeling non-intuitive and tedious.
  • Users find the inefficient search functionality frustrating, making it difficult to quickly identify errors or relevant information.
  • Users feel the lack of automation in MineOS hinders efficiency and requires excessive manual effort for tasks.
  • Users note the limited customization options in MineOS, which hinder flexibility and user experience.

What Are Recent G2 Reviews of MineOS?

What Are G2 Users Discussing About MineOS?

Shalaka Joshi
SJ
Researched and written by Shalaka Joshi
Updated April 9, 2026