Best Data Governance Tools - Page 6

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, Snowflake, IBM watsonx.data, Egnyte, IBM watsonx.governance, Domo, Salesforce Data 360 (formerly Data Cloud), 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=egnyte&focus%5B%5D=ibm-watsonx-governance&focus%5B%5D=domo&focus%5B%5D=salesforce-data-360-formerly-data-cloud&focus%5B%5D=sas-sas-viya)

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Google Cloud BigQuery

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ER/Studio

What is ER/Studio? ER/Studio is an enterprise data modeling platform that helps organizations design, manage, and govern data assets across complex environments. It connects business requirements to technical implementation through conceptual, logical, and physical models, creating a single source of truth for enterprise data. Design and Collaborate Design data models and keep teams aligned with ER/Studio’s multi-user shared repository and web-based portal, Team Server. The centralized repository supports version control, role-based access, and parallel development so multiple modelers can work simultaneously while maintaining a complete change history. Team Server extends collaboration beyond architects by providing browser-based access for business and technical stakeholders to explore models, review definitions, and participate in discussions. Build, version, and review models on premises or across cloud-based platforms like Snowflake, Databricks, Azure Synapse, and Oracle to maintain accuracy, consistency, and visibility throughout your data ecosystem. Govern and Standardize Drive trusted analytics with standardized data definitions and integrated governance. ER/Studio connects business glossaries and data dictionaries while syncing seamlessly with Microsoft Purview and Collibra, ensuring consistent terminology, clear documentation, and enterprise-wide compliance from model creation to delivery. Accelerate with AI ER/Studio includes ERbert, an AI Data Modeling Assistant that converts plain-language business requests into structured data models. This feature saves time, reduces manual effort, and helps teams deliver faster. Why Organizations Choose ER/Studio - Intuitive interface preferred by data architects - Unified modeling environment for all major database platforms - Seamless collaboration between technical and business users - Enterprise-scale architecture for standardization and governance - Integrated AI and metadata management for faster delivery ER/Studio empowers enterprise data teams to build trusted, well-governed data architectures that accelerate analytics, reduce risk, and improve organizational understanding of data.

Average Rating: 4.0/5.0

Total Reviews: 16

How Do G2 Users Rate ER/Studio?

  • Roles Management: 8.3/10 (Category avg: 8.8/10)
  • Data Discovery: 5.0/10 (Category avg: 8.7/10)
  • Compliance Management: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.7/10 (Category avg: 8.7/10)

Who Is the Company Behind ER/Studio?

  • Seller: Idera, Inc.
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Austin, US
  • Twitter: @MigrationWiz
    482 Twitter followers
  • LinkedIn® Page: www.linkedin.com

Who Uses This Product?

  • Top Industries: Information Technology and Services
  • Company Size: 50% Large, 35% Medium

What Do G2 Reviewers Say About ER/Studio?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive user interface of ER/Studio, which simplifies complex database management and enhances collaboration.
  • Users find ER/Studio's ease of use impressive, appreciating its intuitive interface and seamless database integration.
  • Users praise ER/Studio for its powerful features, enhancing database design and collaboration efficiently.
  • Users love ER/Studio for its seamless collaboration that simplifies complex database design and data tracking.
  • Users value the excellent customer support provided by ER/Studio, enhancing their overall experience with the tool.
Cons
  • Users find the dashboard overwhelming, especially beginners who may struggle to navigate effectively.
  • Users find the dashboard overwhelming which can hinder the learning process for beginners.
  • Users are frustrated with the limited database support as it remains client/server based, missing cloud-based options.
  • Users feel the outdated design of ER/Studio is a drawback, lacking the modern cloud-based SaaS functionality.
  • Users find the dashboard overwhelming for beginners, making it difficult to navigate and utilize effectively.

What Are Recent G2 Reviews of ER/Studio?

What Are G2 Users Discussing About ER/Studio?

Talend Data Catalog

Data Catalog automatically crawls, profiles, organizes, links, and enriches all your metadata. Up to 80% of the information associated with the data is documented automatically and kept up-to-date through smart relationships and machine learning, continually delivering the most meaningful data to the user.

Average Rating: 4.2/5.0

Total Reviews: 12

How Do G2 Users Rate Talend Data Catalog?

  • Roles Management: 9.2/10 (Category avg: 8.8/10)
  • Data Discovery: 9.2/10 (Category avg: 8.7/10)
  • Compliance Management: 9.2/10 (Category avg: 8.9/10)
  • Ease of Use: 8.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Talend Data Catalog?

  • Seller: Qlik
  • Year Founded: 1993
  • HQ Location: Radnor, PA
  • Twitter: @qlik
    64,130 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,551 employees on LinkedIn®
  • Phone: 1 (888) 994-9854

Who Uses This Product?

  • Company Size: 42% Medium, 33% Large

What Do G2 Reviewers Say About Talend Data Catalog?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the intuitive and user-friendly data cataloging feature of Talend Data Catalog, enhancing data accessibility.
  • Users find the intuitive data viewing of Talend Data Catalog enhances usability, akin to an e-commerce platform.
  • Users find the intuitive usability of Talend Data Catalog simplifies data access, akin to an e-commerce platform.
  • Users find Talend Data Catalog intuitive, likening it to an easy-to-use e-commerce platform for data access.
  • Users value the intuitive data navigation of Talend Data Catalog, likening it to an easy-to-use e-commerce platform.
Cons
  • Users find the interface complexity an obstacle, indicating it requires further improvement for better usability.
  • Users feel the poor interface design of Talend Data Catalog requires significant improvement for better usability and appeal.
  • Users feel the UI has poor design, requiring improvement for a more appealing and useful experience.
  • Users feel the UI needs improvement, requiring fine-tuning for a more appealing and useful experience.
  • Users feel the UX design needs improvement for a more appealing and useful experience with Talend Data Catalog.

What Are Recent G2 Reviews of Talend Data Catalog?

What Are G2 Users Discussing About Talend Data Catalog?

Pxier Event

Pxier Event is a cloud-based banquet application software service designed to your event management needs, with features and functions to help you manage your events and business needs.

Average Rating: 4.4/5.0

Total Reviews: 19

How Do G2 Users Rate Pxier Event?

  • Roles Management: 9.2/10 (Category avg: 8.8/10)
  • Data Discovery: 7.2/10 (Category avg: 8.7/10)
  • Compliance Management: 9.4/10 (Category avg: 8.9/10)
  • Ease of Use: 7.7/10 (Category avg: 8.7/10)

Who Is the Company Behind Pxier Event?

  • Seller: Pxier
  • Year Founded: 2008
  • HQ Location: Montreal, CA
  • Twitter: @Pxierweb
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    31 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Small, 32% Medium

What Do G2 Reviewers Say About Pxier Event?

AI-generated summary from verified user reviews

Pros
  • Users find the ease of use of Pxier Event remarkable, simplifying processes and enhancing data management efficiency.
  • Users value the exception management and data governance of Pxier Event, ensuring data integrity and overall control.
  • Users appreciate the robust data management capabilities of Pxier Event, enhancing control and trust in their data processes.
  • Users find exMon Event's data monitoring capabilities crucial for ensuring data integrity and quickly addressing anomalies.
  • Users value the robust data discovery capabilities of Pxier Event, enhancing data accuracy and efficiency in analyses.
Cons
  • Users find limited functionality in Pxier Event, especially lacking key features available on other platforms.
  • Users note a lack of modern features in Pxier Event, such as drag-and-drop functionality and notifications.
  • Users find the UI confusing and complicated, expressing a need for a visual improvement to enhance usability.
  • Users find the interface complexity of Pxier Event frustrating, hindering its usability for business purposes.
  • Users find the UI confusing and complicated, suggesting improvements for a more user-friendly experience with Pxier Event.

What Are Recent G2 Reviews of Pxier Event?

What Are G2 Users Discussing About Pxier Event?

Cluedin

CluedIn is the modern Master Data Management platform that accelerates the time it takes to prepare data for insight by up to 80%. Our zero-modeling, schemaless approach means that data stewards no longer need to spend time manually modeling, mapping and integrating their data, allowing the natural data model to emerge and evolve with your business. Not only does this save time and money, it also means that the quality of your data can improve by up to 50% in as little as six weeks. Our system integrates with over 27 Microsoft Azure Data and Analytics Services, including Purview and the Fabric suite. We were also the first MDM vendor to integrate with Azure OpenAI and to launch our own AI Assistant. With CluedIn, integrate data 60% faster, validate and deduplicate data 50% quicker, and raise analytics accuracy by 25%.

Average Rating: 4.1/5.0

Total Reviews: 12

How Do G2 Users Rate Cluedin?

  • Ease of Use: 7.9/10 (Category avg: 8.7/10)

Who Is the Company Behind Cluedin?

  • Seller: CluedIn
  • Year Founded: 2015
  • HQ Location: Copenhagen, Copenhagen
  • Twitter: @cluedinhq
    2,422 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    34 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 42% Medium, 33% Large

What Do G2 Reviewers Say About Cluedin?

AI-generated summary from verified user reviews

Pros
  • Users find the AI features of Cluedin exceptionally helpful, making data management accessible even for non-technical users.
  • Users praise the great customer support provided by Cluedin, making the experience smooth and user-friendly.
  • Users find the easy setup of Cluedin allows quick data integration, streamlining the onboarding process effectively.
Cons
  • Users find that the learning curve for Cluedin can be steep due to the terminology involved.

What Are Recent G2 Reviews of Cluedin?

MetaRouter

MetaRouter is an enterprise-grade customer data infrastructure solution designed to help organizations manage and optimize their first-party data in a privacy-centric manner. This innovative platform is tailored for the AI era, enabling businesses to harness their data effectively while ensuring compliance with stringent privacy regulations. By utilizing server-side technology, MetaRouter empowers companies to take control of their data, enhancing both security and performance at scale. The target audience for MetaRouter includes large enterprises, particularly those in retail and e-commerce, that require robust data management solutions to support their marketing and personalization efforts. With a focus on privacy and compliance, MetaRouter is particularly beneficial for organizations that need to navigate complex regulatory environments while still leveraging their customer data for growth. The platform is designed to replace traditional, often fragile client-side tagging systems, providing a more secure and efficient foundation for data-driven initiatives. MetaRouter's key features include the ability to create AI-ready, consent-enforced data pipelines that facilitate real-time data processing and analytics. This capability allows organizations to implement advanced marketing strategies and personalized customer experiences without compromising on privacy. By ensuring that all data handling practices are compliant with regulations, MetaRouter not only protects customer information but also builds trust with consumers. The platform's architecture supports high performance and scalability, making it suitable for enterprises that handle large volumes of data. In addition to its core functionalities, MetaRouter stands out in its category by offering a private-cloud infrastructure that enhances data security and control. This approach mitigates the risks associated with third-party data handling and empowers organizations to maintain ownership of their data assets. As trusted by three of the top ten U.S. retailers, MetaRouter has proven its effectiveness in driving growth while adhering to the highest standards of privacy and compliance. By providing a comprehensive solution for customer data management, MetaRouter equips enterprises with the tools they need to thrive in a data-driven landscape.

Average Rating: 4.7/5.0

Total Reviews: 25

How Do G2 Users Rate MetaRouter?

  • Roles Management: 10.0/10 (Category avg: 8.8/10)
  • Data Discovery: 9.4/10 (Category avg: 8.7/10)
  • Compliance Management: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind MetaRouter?

  • Seller: MetaRouter
  • Company Website:
  • Year Founded: 2018
  • HQ Location: Denver, CO
  • Twitter: @MetaRouter
    122 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    48 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Consulting
  • Company Size: 52% Medium, 28% Small

What Do G2 Reviewers Say About MetaRouter?

AI-generated summary from verified user reviews

Pros
  • Users find MetaRouter's ease of use exceptional, enabling seamless integration and effortless management of customer profiles.
  • Users value the excellent customer support from MetaRouter, enhancing their overall experience and simplifying implementation.
  • Users value the helpful and responsive team of MetaRouter, enhancing their experience with effective solutions.
  • Users find MetaRouter an excellent partner for seamless data sourcing and activation, enhancing their marketing efforts effortlessly.
  • Users commend the responsive support from MetaRouter, enhancing their experience with efficient visitor tracking and user behavior analysis.
Cons
  • Users feel frustrated by the access restrictions that require a demo for platform usage before trying it independently.
  • Users find the pricing of MetaRouter to be expensive when comparing it to its functionality.
  • Users face insufficient guidance, often requiring demonstrations to understand how to use MetaRouter effectively.
  • Users experience limited accessibility to MetaRouter, needing demos rather than self-exploration of the platform.
  • Users find the pricing to be steep compared to functionality, though they value the high data quality.

What Are Recent G2 Reviews of MetaRouter?

What Are G2 Users Discussing About MetaRouter?

Spectrum Discovery

Spectrum Discovery, a powerful predictive analytics solution, helps create a clear picture of your client and identify areas rife with opportunity - and it does it in 3D.

Average Rating: 4.5/5.0

Total Reviews: 12

How Do G2 Users Rate Spectrum Discovery?

  • Roles Management: 10.0/10 (Category avg: 8.8/10)
  • Data Discovery: 9.6/10 (Category avg: 8.7/10)
  • Compliance Management: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Spectrum Discovery?

  • Seller: Precisely
  • HQ Location: Burlington, Massachusetts
  • Twitter: @PreciselyData
    3,963 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    3,006 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 42% Medium

What Do G2 Reviewers Say About Spectrum Discovery?

AI-generated summary from verified user reviews

Pros
  • Users value the effective data management capabilities of Spectrum Discovery for educator and student data.
  • Users appreciate the data quality of Spectrum Discovery, finding it invaluable for managing educator and student information.

What Are Recent G2 Reviews of Spectrum Discovery?

DataHub

DataHub is an event-driven AI and Data Context Platform designed to unify discovery, governance, and observability across an organization’s entire data estate. Unlike traditional data catalogs, DataHub Cloud offers real-time updates, automatic policy enforcement, and seamless integration with over 100 data sources. This ensures that organizations can maintain data quality, compliance, and AI-readiness at scale, addressing the complexities of modern data management. Targeted at data teams, governance professionals, and AI practitioners, DataHub serves a diverse audience that includes data engineers, analysts, data stewards, and compliance officers. The platform is particularly beneficial for organizations that require a centralized source of truth for all metadata across various environments, such as data warehouses, lakes, business intelligence platforms, machine learning systems, and AI agents. By consolidating data management processes, DataHub enhances collaboration and efficiency within data teams, enabling them to work more effectively. One of the standout features of DataHub is its automated data lineage tracking, which operates down to the column level. This capability allows teams to quickly assess the impact of any upstream changes, facilitating faster debugging of quality issues and helping to avert costly incidents before they escalate to production. Additionally, the platform employs AI-powered functionalities to manage repetitive tasks associated with metadata, such as documentation generation, intelligent glossary classification, and sensitive data tagging. This automation empowers data professionals to concentrate on higher-value activities, thereby increasing overall productivity. For data governance and compliance teams, DataHub offers robust tools for continuous policy enforcement, role-based access controls, and personally identifiable information (PII) detection. The platform is designed to support regulatory standards such as GDPR, HIPAA, and PCI, all while minimizing manual oversight. This ensures that organizations can maintain compliance without the burden of extensive manual processes. Furthermore, for AI and ML teams, DataHub provides the reliable data context essential for developing trustworthy AI agents and models, fostering innovation and improving outcomes. With backing from prominent investors like Bessemer Venture Partners, LinkedIn, and 8VC, DataHub has gained the trust of leading organizations, including Netflix, Visa, Slack, and Pinterest. This widespread adoption underscores the platform's effectiveness in transforming data operations and enhancing the overall data management landscape. For more information, visit datahub.com.

Average Rating: 4.4/5.0

Total Reviews: 8

How Do G2 Users Rate DataHub?

  • Roles Management: 6.7/10 (Category avg: 8.8/10)
  • Data Discovery: 7.5/10 (Category avg: 8.7/10)
  • Ease of Use: 8.5/10 (Category avg: 8.7/10)

Who Is the Company Behind DataHub?

  • Seller: DataHub
  • Company Website:
  • Year Founded: 2013
  • HQ Location: Palo Alto, California
  • Twitter: @DataHubCloud
    720 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    18 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 63% Medium, 25% Large

What Do G2 Reviewers Say About DataHub?

AI-generated summary from verified user reviews

Pros
  • Users praise the ease of use of DataHub, enhancing organization and simplifying data sharing and management.
  • Users value the connectivity with a wide number of tools, enhancing their productivity and integration capabilities.
  • Users value the ease of use and free access of DataHub as an open source data catalog tool.
  • Users value the accuracy of DataHub, finding it simplifies complex data lineage effortlessly.
  • Users love the affordability of DataHub, appreciating its free and open-source nature for effortless access.
Cons
  • Users struggle with integration issues due to insufficient support for DBT and data quality tests in DataHub.
  • Users face dependency issues as some owners must invest effort, impacting the overall value of DataHub.
  • Users find the difficult interface of DataHub can be clunky, impacting the overall user experience.
  • Users find a lack of features, notably missing integrations for data quality tests and dbt support.
  • Users find that performance with large datasets can slow down operations, making management cumbersome at times.

What Are Recent G2 Reviews of DataHub?

DryvIQ

DryvIQ is the smarter way to get your content business-ready—and make your data work for you, not against you. With our platform, insights are instant, compliance is effortless, and every decision is powered by accurate information. Trusted by over 1,100 organizations, we partner with some of the world’s largest and most complex enterprises to manage massive data volumes with speed and scale. Our all-in-one intelligent data management platform continuously automates critical data quality and security controls across any unstructured data platform. By integrating with 40+ on-premises and cloud repositories, we're helping organizations tackle the complexities of unstructured content across their entire digital landscape by ensuring it's relevant, organized, cleansed, and secure.  Category: Data Governance Software, Data Security Software, Content Management, Unstructured Data Management Primary Audience: Enterprise IT, data governance, security, and compliance teams Key Use Cases: Data classification, risk remediation, AI readiness, data lifecycle management, content platform modernization, secure migrations, large migrations Key Features & Benefits DryvIQ offers a prescriptive, use case-specific approach to control, protect, and safeguard content, leading to better outcomes of transformation initiatives, faster and effective generative AI & copilot adoption, and enhanced collaboration and intelligence across leading cloud and on-premises storage repositories, email, collaboration tools, and enterprise data applications. With DryvIQ, your unstructured data is: Relevant DryvIQ intelligently curates your content ecosystem to ensure that only the most relevant data is prioritized and accessible. Non-business, stale, or duplicative data is continuously archived or removed—eliminating noise and reducing storage costs. Whether you’re preparing content for AI model training or daily operational use, DryvIQ ensures your organization works with high-value, outcome-driven data. Organized DryvIQ automates classification and applies rich metadata based on the actual substance of content—not just surface-level file properties. Files are organized into appropriate taxonomies, moved to the correct locations, and continuously enriched with business-relevant metadata. This intelligent structuring provides the clarity needed for compliance, governance, and insight generation across your entire content estate. Cleansed DryvIQ applies redaction, encryption, and anonymization at the content level to protect sensitive information while preparing data for internal use, sharing, or AI initiatives. Whether safeguarding IP or ensuring privacy compliance, DryvIQ removes the risks associated with raw, unfiltered content—allowing your business to unblock AI implementations and move faster with confidence. Secure DryvIQ continuously audits and updates sharing permissions and access controls to ensure only the right users have access. The platform enforces rules in real time by modifying permissions, applying Microsoft Purview Information Protection (MPIP) labels, Box Shield, or DryvIQ Persistent labels, and quarantining exposed content when needed. The result? Reduced vulnerability and increased trust in your unstructured data. Why Customers Choose DryvIQ -Trusted by 1,100+ enterprise customers across some of the world’s largest and most complex enterprises -4.9/5 customer satisfaction rating and 79 enterprise Net Promoter Score (NPS), reflecting best-in-class support and user experience -Architected for multi-petabyte deployments, DryvIQ’s high-speed engine supports scans up to 300TB per day -Patented platform that leverages AI and machine learning to continuously automate the discovery, classification, and governance of unstructured data at scale -Connects directly to 40+ content repositories, giving you a unified view of all your data, plus the ability to seamlessly manage it across your entire content ecosystem -Backed by over a decade of experience solving the toughest unstructured data challenges See how DryvIQ’s intelligent data management platform transforms your unstructured data into relevant, organized, cleansed, and secure content for your AI-readiness and other business transformation initiatives.

Average Rating: 4.5/5.0

Total Reviews: 13

How Do G2 Users Rate DryvIQ?

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

Who Is the Company Behind DryvIQ?

  • Seller: DryvIQ
  • Company Website:
  • Year Founded: 2012
  • HQ Location: Ann Arbor,MI
  • Twitter: @dryviq
    1,639 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    46 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 38% Medium, 38% Small

What Do G2 Reviewers Say About DryvIQ?

AI-generated summary from verified user reviews

Pros
  • Users commend the efficient data transformation and rapid transfer speed of DryvIQ, enhancing data analysis capabilities.
  • Users praise the fast data transfer and transformation capabilities of DryvIQ, enhancing data analysis efficiency.
  • Users value the fast data transfer and transformation capabilities of DryvIQ, enhancing their data analysis experience.
  • Users commend the fast data transfer of DryvIQ, efficiently transforming large amounts of unstructured data for analysis.
  • Users value the fast data transformation capabilities of DryvIQ, making data analysis straightforward and efficient.
Cons
  • Users find the difficult learning curve of DryvIQ frustrating, making navigation cumbersome and not user-friendly.
  • Users find the learning curve steep, noting that the UI is cumbersome and difficult to navigate.
  • Users find the navigation issues challenging, making it difficult to learn and utilize the UI effectively.
  • Users find the poor interface design challenging, making navigation and learning difficult and frustrating.
  • Users find the poor navigation of DryvIQ challenging, making the learning process difficult and cumbersome.

What Are Recent G2 Reviews of DryvIQ?

What Are G2 Users Discussing About DryvIQ?

IBM InfoSphere Information Analyzer

IBM® InfoSphere® Information Analyzer, a component of Information Server evaluates data quality and structure within and across heterogeneous systems. It utilizes a reusable rules library and supports multi-level evaluations by rule record and pattern. It also facilitates the management of exceptions to established rules. Analyzer helps identify data inconsistencies, redundancies and anomalies and makes inferences about the best choices for structure. Analyzing data is the primary purpose of Information Analyzer. Learn More: https://ibm.co/2MJE08X

Average Rating: 3.6/5.0

Total Reviews: 8

How Do G2 Users Rate IBM InfoSphere Information Analyzer?

  • Ease of Use: 7.5/10 (Category avg: 8.7/10)

Who Is the Company Behind IBM InfoSphere Information Analyzer?

  • Seller: IBM
  • 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®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 80% Large, 20% Medium

What Are Recent G2 Reviews of IBM InfoSphere Information Analyzer?

IBM watsonx.data intelligence

IBM watsonx.data intelligence revolutionizes the way organizations curate, manage, and utilize data by leveraging the power of AI to simplify data delivery across hybrid ecosystems. IBM watsonx.data intelligence is a comprehensive solution that integrates capabilities such as data governance (formerly IBM Knowledge Catalog), data lineage (formerly IBM Manta Data Lineage), data sharing, and data quality management. It empowers organizations to discover, trust, and access meaningful data, providing consumers with reliable data products. Explore Demo Library - https://www.ibm.com/products/watsonx-data-intelligence/demo-library Start your free trial - https://dataplatform.cloud.ibm.com/registration/stepone?context=df&apps=all&uucid=1227cc9e37cb9292&preselect_region=true

Average Rating: 4.2/5.0

Total Reviews: 24

How Do G2 Users Rate IBM watsonx.data intelligence?

  • Roles Management: 8.8/10 (Category avg: 8.8/10)
  • Data Discovery: 8.8/10 (Category avg: 8.7/10)
  • Compliance Management: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 8.4/10 (Category avg: 8.7/10)

Who Is the Company Behind IBM watsonx.data intelligence?

  • Seller: IBM
  • 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®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 38% Small, 34% Large

What Do G2 Reviewers Say About IBM watsonx.data intelligence?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the automation features of IBM watsonx.data intelligence, simplifying data flow understanding and reducing manual efforts.
  • Users value the automated data lineage visualization of IBM watsonx.data intelligence for improved understanding and governance of data flows.
  • Users value the data lineage capabilities of IBM Watsonx.data intelligence, enhancing data governance and visualization across systems.
  • Users appreciate the ease of use of IBM Manta Data Lineage, enhancing understanding and governance of data flows.
  • Users value the efficiency of IBM watsonx.data intelligence, streamlining data management and enhancing governance processes significantly.
Cons
  • Users face complex implementation challenges due to intricate setups and integration issues, requiring specialized expertise.
  • Users experience setup complexity with IBM watsonx.data intelligence, requiring specialized expertise and potentially high costs for implementation.
  • Users find the implementation cost to be high, making it potentially out of reach for many organizations.
  • Users find that specialized expertise is required for proper implementation of IBM watsonx.data intelligence, complicating the setup process.
  • Users find the extra costs associated with IBM watsonx.data intelligence to be a significant barrier to access.

What Are Recent G2 Reviews of IBM watsonx.data intelligence?

Okera

Okera, the universal data authorization company, helps modern, data-driven enterprises accelerate innovation, minimize data security risks, and enforce compliance with data privacy regulations. The Okera Dynamic Access Platform automatically enforces universal fine-grained access control policies. This allows employees, customers, and partners to use data responsibly, while protecting them from inappropriately accessing data that is confidential, personally identifiable, or regulated. Okera’s robust audit capabilities and data usage intelligence deliver the real-time and historical information that data security, compliance, and data delivery teams need to respond quickly to incidents, optimize processes, and analyze the performance of enterprise data initiatives. Okera began development in 2016 and now dynamically authorizes access to hundreds of petabytes of sensitive data for the world’s most demanding F100 companies and regulatory agencies. The company is headquartered in San Francisco and is backed by Bessemer Venture Partners, ClearSky Security, and Felicis Ventures. For more information, visit www.okera.com or contact info@okera.com.

Average Rating: 4.0/5.0

Total Reviews: 10

How Do G2 Users Rate Okera?

  • Roles Management: 9.2/10 (Category avg: 8.8/10)
  • Data Discovery: 8.9/10 (Category avg: 8.7/10)
  • Compliance Management: 9.4/10 (Category avg: 8.9/10)
  • Ease of Use: 6.9/10 (Category avg: 8.7/10)

Who Is the Company Behind Okera?

  • Seller: Okera
  • Year Founded: 2016
  • HQ Location: San Francisco, CA
  • Twitter: @okerainc
    379 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    19 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Small, 30% Large

What Are Recent G2 Reviews of Okera?

Rocket Data Intelligence

Audit & Analytics Services continuously scans corporate information regardless of type, source and volume to discover and alert of patterns, deviations and inconsistencies related to enterprise data and content. It helps to improve operational performance, strengthen internal controls, reduce occupational fraud and elevate compliance by automating business audit and reconciliation rules to deliver policy-driven results.

Average Rating: 4.6/5.0

Total Reviews: 7

How Do G2 Users Rate Rocket Data Intelligence?

  • Roles Management: 10.0/10 (Category avg: 8.8/10)
  • Data Discovery: 10.0/10 (Category avg: 8.7/10)
  • Compliance Management: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 7.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Rocket Data Intelligence?

  • Seller: Rocket Software
  • Year Founded: 1990
  • HQ Location: Waltham, MA
  • Twitter: @Rocket
    3,532 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    4,347 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 20% Medium

What Do G2 Reviewers Say About Rocket Data Intelligence?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the real-time data analytics of Rocket Data Intelligence, enhancing their decision-making process significantly.
Cons
  • Users find the complex implementation of Rocket Data Intelligence burdensome due to high licensing and maintenance costs.
  • Users often face high costs for licensing, implementation, and ongoing maintenance of Rocket Data Intelligence.
  • Users find the high costs of licensing, implementation, and maintenance for Rocket Data Intelligence to be a significant drawback.

What Are Recent G2 Reviews of Rocket Data Intelligence?

Solidatus

Solidatus gives you trust in your data and confidence in your decisions. Get fast insights with dynamic discovery, game-changing visualization and the ability to sustainably govern your complex data landscape. By revealing hidden opportunities, threats and the impact of change, your Solidatus data blueprint will help you make the unknown known, so you can optimize your infrastructure, operate more efficiently and minimize risk.

Average Rating: 4.2/5.0

Total Reviews: 10

How Do G2 Users Rate Solidatus?

  • Roles Management: 8.3/10 (Category avg: 8.8/10)
  • Data Discovery: 8.3/10 (Category avg: 8.7/10)
  • Compliance Management: 8.8/10 (Category avg: 8.9/10)
  • Ease of Use: 7.9/10 (Category avg: 8.7/10)

Who Is the Company Behind Solidatus?

  • Seller: Solidatus
  • Year Founded: 2011
  • HQ Location: London, GB
  • Twitter: @Solidatus_com
    335 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    65 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Small, 30% Medium

What Are Recent G2 Reviews of Solidatus?

ThinkData Works

ThinkData Works offers a data catalog platform designed to improve the process of connecting, managing, and sharing data. Cut costs and improve productivity with unique features for virtualizing entire data warehouses, managing custom metadata and templates, and monitoring data health in real time. The result is a centralized view of refined data that can be better leveraged to drive business outcomes — with access and governance controls that support observability and compliance. - Build automated connections to data from any source - Manage, observe, and govern data on a platform as user-friendly as it is powerful - Easily and securely share data to any users, organizations, or applications https://www.thinkdataworks.com

Average Rating: 4.6/5.0

Total Reviews: 14

How Do G2 Users Rate ThinkData Works?

  • Roles Management: 9.2/10 (Category avg: 8.8/10)
  • Data Discovery: 8.9/10 (Category avg: 8.7/10)
  • Compliance Management: 9.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.7/10 (Category avg: 8.7/10)

Who Is the Company Behind ThinkData Works?

  • Seller: ThinkData Works
  • Year Founded: 2014
  • HQ Location: Toronto, CA
  • Twitter: @thinkdataworks
    1,211 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 64% Medium, 36% Small

What Are Recent G2 Reviews of ThinkData Works?

Lenses

Lenses is the Developer Experience for enterprises to work with every Apache Kafka-based technology, in one place. Trusted by Europcar, Adidas, Daimler and Kandji, Lenses simplifies data streaming across hybrid and multi-cloud environments, giving engineers the autonomy to explore, integrate, and govern data -- and modernize their applications with ease: - Efficiently find, explore, process, integrate and govern streams with a data catalog, SQL studio and SQL stream processors - Confidently share, migrate and back up data streams across any cloud or environment with the Kafka to Kafka replicator - Lenses K2K - Reduce the manual burden of Kafka operations with Lenses AI Agents. Product Website www.lenses.io

Average Rating: 4.2/5.0

Total Reviews: 17

How Do G2 Users Rate Lenses?

  • Roles Management: 9.2/10 (Category avg: 8.8/10)
  • Data Discovery: 9.2/10 (Category avg: 8.7/10)
  • Compliance Management: 8.3/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Lenses?

  • Seller: Lenses.io Ltd
  • Company Website:
  • Year Founded: 2016
  • HQ Location: London, England
  • Twitter: @lensesio
    732 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    32 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 47% Large, 35% Medium

What Do G2 Reviewers Say About Lenses?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Lenses, finding it user-friendly and straightforward for data querying.
  • Users value the intuitive and user-friendly interface of Lenses, enhancing productivity and making complex tasks easier.
  • Users value the user-friendly interface of Lenses, making visualization and management of Kafka resources easy and efficient.
  • Users find Lenses to be highly intuitive, enhancing productivity and making complex tasks more manageable.
  • Users appreciate the reliable data management of Lenses, finding its SQL querying straightforward and effective.
Cons
  • Users face feature limitations in Lenses, hindering flexibility, interoperability, and overall support for evolving needs.
  • Users express concerns about vendor lock-in and lack of support, limiting future flexibility and feature improvements.
  • Users express concerns over limited access due to vendor lock-in and lack of significant changes in Lenses.
  • Users are disappointed with the missing features in Lenses, noting a lack of significant improvements over time.
  • Users experience ongoing bugs and poor documentation in Lenses, indicating product stagnation and lack of enhancements over time.

What Are Recent G2 Reviews of Lenses?

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