Best Data Governance Tools - Page 7

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)

Thales CipherTrust Data Security Platform

Thales CipherTrust Data Security Platform (CDSP) removes the complexity from enterprise data security by unifying discovery, analysis, protection, and control in a single, modern platform. Built on a cloud-native, microservices architecture, CipherTrust Data Security Platform is designed to secure sensitive data across on-premises, hybrid, cloud, and multi-cloud environments while accelerating time to compliance and enabling secure cloud migrations. It brings together data discovery and classification, encryption, tokenization, granular access controls, and centralized key management - reducing operational overhead and consolidating previously siloed tools. Discover: Scans structured and unstructured data across on-prem, cloud, and hybrid environments to locate sensitive data (PII, financial records, etc.), giving you visibility into where critical data actually lives. Analyze: Assesses risk by attaching context to discovered data, helping prioritize what needs protection based on sensitivity, regulatory exposure, and access patterns. Protect: Applies encryption, tokenization, and key management to secure data at rest, in transit, and in use with minimal disruption. Control: Enforces granular access policies and provides detailed audit logs, enabling strict governance, separation of duties, and compliance reporting across the entire data lifecycle. CipherTrust Data Security Platform supports flexible deployment models - on-premises, hybrid, or as-a-service - so organizations can align security with operational requirements. By consolidating data-centric security capabilities into a single platform, CDSP reduces risk and provides a clear, scalable path to comprehensive data security.

Average Rating: 4.4/5.0

Total Reviews: 22

How Do G2 Users Rate Thales CipherTrust Data Security Platform?

  • Ease of Use: 8.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Thales CipherTrust Data Security Platform?

  • Seller: Thales Group
  • Company Website:
  • HQ Location: Austin, Texas
  • Twitter: @ThalesCloudSec
    6,935 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    46 employees on LinkedIn®
  • Ownership: EPA:HO

Who Uses This Product?

  • Top Industries: Information Technology and Services, Financial Services
  • Company Size: 64% Large, 24% Small

What Are Recent G2 Reviews of Thales CipherTrust Data Security Platform?

What Are G2 Users Discussing About Thales CipherTrust Data Security Platform?

Alex Solutions

Alex is a Metadata Management Platform designed to empower everyone to securely find, understand, protect, and ethically use the world’s data. Recognised by Gartner as a Leader in the Magic Quadrant for Metadata Management Solutions. Alex Solutions is an Australian-based start-up that is bringing innovation and disruptive ideas to the way organisations manage and leverage their information assets.

Average Rating: 4.9/5.0

Total Reviews: 5

How Do G2 Users Rate Alex Solutions?

  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Alex Solutions?

  • Seller: Alex Solutions
  • Year Founded: 2016
  • HQ Location: Carlton, Victoria, Australia
  • Twitter: @alex_solutions_
    88 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    108 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 60% Medium, 40% Small

What Do G2 Reviewers Say About Alex Solutions?

AI-generated summary from verified user reviews

Pros
  • Users value the robust data governance and security features in Alex Solutions, enhancing trust and compliance.
  • Users value the strong data security features of Alex Solutions, ensuring their sensitive information remains protected.
Cons
  • Users find the complex initial setup of Alex Solutions to be challenging and time-consuming to navigate.
  • Users find that Alex Solutions may pose complex data management challenges for smaller businesses with limited resources.
  • Users struggle with integration issues, finding the initial setup complex and limited integration options frustrating.

What Are Recent G2 Reviews of Alex Solutions?

Ataccama ONE

Ataccama ONE is a data trust platform that helps organizations improve data quality, monitor data reliability, govern enterprise data assets, and prepare trusted data for analytics and AI initiatives. Designed for complex cloud, on-premises, and hybrid environments, the platform is used by data governance teams, data quality managers, data engineers, analytics teams, and AI programs that require accurate, governed, and auditable data. The platform combines data quality, data observability, data catalog, data lineage, and reference data management in a unified solution. Organizations use Ataccama ONE to identify and resolve data issues, support regulatory compliance, improve confidence in reporting and AI outputs, and streamline enterprise data management operations. The platform also includes the ONE AI Agent, which helps automate tasks such as metadata enrichment, anomaly detection, rule recommendations, and documentation workflows. Ataccama ONE supports use cases including AI readiness, cloud migration, data modernization, regulatory compliance, and data product development. It is used across industries such as financial services, insurance, telecommunications, healthcare, manufacturing, and energy, where trusted data is critical for operational and strategic decision-making. Key capabilities include: - Data quality and observability tools for profiling, validating, monitoring, and improving data across systems and pipelines - Data catalog and lineage capabilities that help users discover, understand, and trace data assets and transformations - Reference data management for maintaining standardized business values across applications and business units - AI-assisted automation through the ONE AI Agent to support rule creation, anomaly remediation recommendations, and metadata management - Connectivity to cloud platforms, databases, data warehouses, BI tools, and AI ecosystems through built-in connectors and MCP server support

Average Rating: 4.2/5.0

Total Reviews: 11

How Do G2 Users Rate Ataccama ONE?

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

Who Is the Company Behind Ataccama ONE?

  • Seller: Ataccama
  • Company Website:
  • Year Founded: 2007
  • HQ Location: Toronto, Canada
  • Twitter: @ataccama
    3,086 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    436 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 42% Small, 42% Large

What Do G2 Reviewers Say About Ataccama ONE?

AI-generated summary from verified user reviews

Pros
  • Users praise the good customer support of Ataccama ONE, enhancing their overall experience and satisfaction.
  • Users value the customizable interface of Ataccama ONE, enhancing their overall experience and functionality.
  • Users value the customizable interface of Ataccama ONE, enhancing their overall user experience.
  • Users praise the ease of use of Ataccama ONE, highlighting its intuitive UI and customization options.
  • Users appreciate the easy-to-use and customizable UI of Ataccama ONE, enhancing their overall experience.
Cons
  • Users find Ataccama ONE to have a complex interface that requires significant learning to navigate effectively.
  • Users find Ataccama ONE to have a difficult learning experience, impacting their ability to use the software effectively.
  • Users find Ataccama ONE difficult to learn, highlighting the need for a better onboarding experience.
  • Users find Ataccama ONE to have a complex learning curve, requiring significant time to master the software.
  • Users find Ataccama ONE difficult to learn, requiring significant time and effort to master its features.

What Are Recent G2 Reviews of Ataccama ONE?

Huwise

Huwise is a SaaS data product marketplace developed by a French company based in Paris, with over 15 years of experience. Recognized as a leading European player in data marketplace solutions by independent analyst firms, Huwise powers more than 3,000 data marketplaces across 25 countries. The platform is widely adopted across key industries including Banking & Insurance, Utilities and Energy, Transportation, Retail, Manufacturing and Central & Local Government. Huwise is a leading data product marketplace designed to transform raw data into AI-ready, business-ready data products. Unlike traditional data catalogs that primarily focus on metadata management and data discovery, Huwise actively drives data usage across organizations by converting data into actionable products. The platform is designed for business users, data product owners, data teams, and AI agents, providing a self-service, e-commerce-like experience that makes data more accessible, understandable, and usable across the organization. By enabling secure, governed, and scalable access to trusted data products, Huwise helps Chief Data Officers (CDOs) and Chief Data & AI Officers (CDAIOs) accelerate their data governance strategy, increase data adoption, and maximize the business impact of data and AI initiatives. Targeted at organizations seeking to enhance their data utilization, Huwise stands apart from conventional data platforms such as data lakes and cloud data warehouses. While these technologies are primarily focused on storing and processing large volumes of raw data, Huwise operates on top of the data stack to activate and distribute data. It ensures that data is not only understandable but also governed and directly usable throughout the organization. By complementing existing data catalog solutions, Huwise offers a business-facing access layer that integrates with raw, curated and certified data products, leveraging existing metadata and governance frameworks. The platform is built on data product principles, enabling organizations to publish and manage trusted, ready-to-use data products. Huwise facilitates self-service access to data without the need for technical expertise, ensuring that governance, security, and traceability are maintained across all data usage. Furthermore, it promotes data adoption through collaboration, feedback, and usage analytics, which are essential for driving engagement and maximizing the value of data within the organization. Huwise accelerates AI and analytics use cases by providing high-quality, contextualized data that enhances decision-making processes. Huwise also plays a crucial role in modern data architectures by supporting both the semantic layer and the emerging context layer. The semantic layer standardizes data definitions into business-friendly terms, while the context layer enriches this foundation with usage intelligence, lineage, governance, and real business interactions. This dual-layer approach enables both humans and AI to interpret and trust data accurately, reducing risks associated with misinterpretation or bias. As organizations increasingly adopt data mesh, data product strategies, and AI-driven operations, Huwise offers a modern approach for data sharing that is dedicated to drive data value and enhance business performance. It offers a data marketplace platform that not only organizes data but also activates it to deliver measurable business value. For companies aiming to maximize the potential of their data ecosystem, Huwise provides a future-proof, interoperable layer that bridges storage, governance, and consumption, ultimately accelerating data adoption and AI success at scale.

Average Rating: 4.7/5.0

Total Reviews: 11

How Do G2 Users Rate Huwise?

  • Roles Management: 9.7/10 (Category avg: 8.8/10)
  • Data Discovery: 10.0/10 (Category avg: 8.8/10)
  • Compliance Management: 9.7/10 (Category avg: 8.9/10)
  • Ease of Use: 9.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Huwise?

  • Seller: Huwise
  • Company Website:
  • Year Founded: 2011
  • HQ Location: Paris, FR
  • LinkedIn® Page: www.linkedin.com
    107 employees on LinkedIn®

Who Uses This Product?

  • Top Industries: Government Administration
  • Company Size: 64% Large, 36% Medium

What Do G2 Reviewers Say About Huwise?

AI-generated summary from verified user reviews

Pros
  • Users value the ease of use of Huwise, highlighting its intuitive interface and quick implementation process.
  • Users praise the intuitive interface of Huwise, making it easy to create appealing designs and upload data efficiently.
  • Users value the flexible access control of Huwise, facilitating both open and limited access with ease.
  • Users enjoy the easy accessibility of Huwise, enabling quick data uploads and creating appealing interfaces effortlessly.
  • Users value the effective collaboration communication within Huwise, benefiting from accessible teams and community engagement.
Cons
  • Users face complexity issues due to limitations in visualization and coding capabilities with Huwise.
  • Users face data limitations with Huwise, including restrictions on using multiple datasets in visualizations.
  • Users face feature limitations with Huwise, especially in using multiple datasets for visualizations.
  • Users are concerned about the high cost of Huwise, citing rising prices and complex pricing models.
  • Users face integration issues with Huwise, such as limitations on combining multiple datasets in visualizations.

What Are Recent G2 Reviews of Huwise?

OpenDQ

OpenDQ Matrix360 is an enterprise-level data quality, master data management, knowledge graph, and data governance solution designed to help organizations achieve reliable and accurate data management without incurring licensing costs. This innovative platform is built on a modular architecture, allowing it to adapt to evolving enterprise needs and scale seamlessly as data management requirements grow. OpenDQ Matrix360 is particularly beneficial for organizations focused on enhancing data integrity, improving operational efficiency, and making confident, data-driven decisions. Targeting businesses of all sizes, OpenDQ Matrix360 serves data professionals, analysts, and decision-makers who require a robust framework for managing their data assets across multiple domains and geographies. The solution is designed to facilitate the management of diverse data types, including customer, product, vendor, and reference data, making it an ideal choice for organizations looking to streamline their data operations. By providing a comprehensive suite of tools, OpenDQ Matrix360 empowers users to maintain high standards of data quality and governance, ultimately supporting better business outcomes. One of the standout features of OpenDQ Matrix360 is its zero license cost model, which replaces traditional licensing fees with a simple annual support fee. This approach not only frees up budget for delivery and scaling but also allows organizations to invest more in their data initiatives. The platform includes a powerful rules engine for visual authoring of validation and rule enforcement, enabling users to implement data quality standards at scale. Additionally, the integrated knowledge graph offers visual exploration, schema design, and AI-powered discovery, ensuring that master data records are synchronized and fully audited. OpenDQ Matrix360 also excels in providing comprehensive data lineage capabilities, allowing organizations to trace data from its source to consumption through a graph-based, end-to-end lineage system. This feature is complemented by a unified business glossary and data catalog, which enhances metadata governance and technical metadata harvesting. The platform's enterprise search capabilities, driven by AI workflows, further streamline data retrieval and analysis, while the AI workspace supports various machine learning and AI-driven workflows, making it a versatile tool for modern data management. By unifying data quality, master data management, and knowledge graphs into a single governed platform, OpenDQ Matrix360 delivers a scalable foundation of trust that organizations can rely on for every analytic, operational, and AI-driven workflow. Its modular architecture allows users to deploy only the components they need, ensuring that the solution can grow and evolve alongside their data management requirements.

Average Rating: 5.0/5.0

Total Reviews: 6

How Do G2 Users Rate OpenDQ?

  • Roles Management: 10.0/10 (Category avg: 8.8/10)
  • Compliance Management: 10.0/10 (Category avg: 8.9/10)
  • Ease of Use: 9.7/10 (Category avg: 8.7/10)

Who Is the Company Behind OpenDQ?

  • Seller: Infosolve Technologies
  • Company Website:
  • Year Founded: 2003
  • HQ Location: Princeton, US
  • Twitter: @InfosolveTech
    1 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    8 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Medium, 33% Small

What Do G2 Reviewers Say About OpenDQ?

AI-generated summary from verified user reviews

Pros
  • Users commend the zero licensing cost of OpenDQ, appreciating its value and extensive integration capabilities.
  • Users highly value the flexibility and scalability of OpenDQ, praising its comprehensive features and seamless integrations.
  • Users commend OpenDQ for its fast and flexible automation, making data management efficient and scalable.
  • Users admire the automation features of OpenDQ, enhancing efficiency and integration across various data management tasks.
  • Users value the excellent technical support provided by OpenDQ, enhancing their experience with swift implementation.
Cons
  • Users find the poor documentation of OpenDQ challenging and suggest multimedia training for better understanding.

What Are Recent G2 Reviews of OpenDQ?

What Are G2 Users Discussing About OpenDQ?

Scikiq: Comprehensive Data Management Platform

SCIKIQ help make AI possible for enterprises. SCIKIQ brings together everything an enterprise needs to scale AI, clean data, trusted governance, semantic context, real-time orchestration, and intelligent agents, all in one platform. SCIKIQ brings Data Hub, a Unified Data Layer, a foundational architecture that creates a single version of truth across all data sources, departments, and use cases within the enterprise. SCIKIQ Data Hub brings Data integration, Processing and Curation, Data Governance and Data Visualisation all in one platform. It also brings Gen AI studio, Agentic AI and Auto ML studio for your AI Initiatives. Our Conversation (Self Service) Analytics, prompt to process (data analytics, Dashboards, Agents, insights & products) AI Co-pilot is among the best in the world Recognized by Forrester as top 34 AI enabled platform in the world, By NASSCOM in top 10 in Deep Tech club and By YourStory and Inc Media in Top 30 companies to watch. Selected by AWS to showcase at MWC and AWS re:Invent

Average Rating: 4.6/5.0

Total Reviews: 13

How Do G2 Users Rate Scikiq: Comprehensive Data Management Platform?

  • Roles Management: 9.4/10 (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: 9.4/10 (Category avg: 8.7/10)

Who Is the Company Behind Scikiq: Comprehensive Data Management Platform?

  • Seller: SCIKIQ
  • Year Founded: 2023
  • HQ Location: Gurgaon
  • Twitter: @scikiq
    9 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    44 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 38% Large, 31% Medium

What Do G2 Reviewers Say About Scikiq: Comprehensive Data Management Platform?

AI-generated summary from verified user reviews

Pros
  • Users find SCIKIQ to be easy to use, enjoying its intuitive interface and seamless customization options.
  • Users value the ease of use of Scikiq, especially its intuitive interface for managing complex data workflows.
  • Users value the seamless integration and ease of use of Scikiq, making data management efficient and accessible.
  • Users appreciate the seamless data integration capabilities of Scikiq, enabling efficient management of complex workflows.
  • Users value the easy setup of Scikiq, finding its intuitive design effortless for data management tasks.
Cons
  • Users find complexity issues with SCIKIQ's implementation, making integration with other platforms frustrating at times.
  • Users find some features of Scikiq to be complex, which can hinder their overall user experience.
  • Users find the complex implementation of Scikiq's data management challenging, leading to potential frustration.
  • Users find the software too pricey and suggest aligning its cost with similar market products.
  • Users find integration issues with certain platforms frustrating, adding to the overall complexity of Scikiq.

What Are Recent G2 Reviews of Scikiq: Comprehensive Data Management Platform?

SecuPi Platform

SecuPi helps enterprises protect and take control of their data, ensuring it is discovered, monitored, governed, and secured in a compliant way. The SecuPi Data Security Platform gives organizations clarity into where sensitive data lives, who is accessing it, and how it is being used. By unifying discovery, monitoring, access control, and enforcement into one consistent approach, SecuPi embeds security directly into business applications, analytics, cloud platforms, and AI workloads, so data remains protected at every stage: in motion, in use, and at rest. Trusted by Fortune 500 companies across financial services, insurance, telecom, retail, and beyond, SecuPi helps security and compliance leaders reduce risk, simplify regulatory demands, and accelerate digital transformation with confidence.

Average Rating: 4.4/5.0

Total Reviews: 12

How Do G2 Users Rate SecuPi Platform?

  • Ease of Use: 8.1/10 (Category avg: 8.7/10)

Who Is the Company Behind SecuPi Platform?

  • Seller: SecuPi
  • Year Founded: 2014
  • HQ Location: New York, US
  • Twitter: @Secu_Pi
    261 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    69 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 33% Large, 25% Medium

What Do G2 Reviewers Say About SecuPi Platform?

AI-generated summary from verified user reviews

Pros
  • Users value the strong security and centralized governance provided by SecuPi Platform, enhancing data protection effortlessly.
  • Users value the seamless data protection offered by SecuPi, enhancing compliance and security without altering applications.
  • Users appreciate the efficient data protection of SecuPi Platform, ensuring robust security without altering application code.
  • Users value the ease of use of the SecuPi Platform, enabling straightforward policy enforcement and seamless integration.
  • Users appreciate the easy integrations of the SecuPi Platform, allowing seamless functionality with existing tools and architectures.
Cons
  • Users find the complexity of setup and multiple-step tasks challenging, leading to a steeper learning curve.
  • Users indicate that improvement is needed in performance, integration, and support for the SecuPi Platform.
  • Users often face integration issues with SecuPi, making system connectivity cumbersome and time-consuming.
  • Users find the complexity of the SecuPi Platform hinders usability, necessitating extensive training and effort to navigate.
  • Users find the complexity of the SecuPi Platform challenging, necessitating extensive training for effective use.

What Are Recent G2 Reviews of SecuPi Platform?

Verdantis Master Data Management Suite

Verdantis MDM Suite is an AI-native master data management software built specifically for asset-intensive industries like Oil & Gas, Mining, Energy, Utilities, and Manufacturing. Unlike generic MDM platforms, it is engineered from the ground up to handle the complexity of industrial data across materials, customers, vendors, and services, making it the go-to solution for enterprises that cannot afford data inconsistencies in their operations. Harmonize tackles legacy data by automating the cleansing, deduplication, and normalization of data accumulated from ERP migrations, acquisitions, and multi-site operations, turning years of messy records into clean, usable master data. Integrity keeps that data clean going forward through business rules, validation checks, and change workflows that teams configure themselves, ensuring ongoing master data governance around your standards. MDM Suite also includes a set of AI tools built for industrial data challenges. AutoDoc extracts structured data from engineering drawings, BOMs, and datasheets using OCR and contextual AI. SpareSeek surfaces equivalent, alternate, and obsolete parts across vendor catalogs. TransAI translates and localizes data into regional languages and technical standards for global teams. Auto-Enrichment automatically populates missing attributes across master data using AI models trained on industrial data. Verdantis connects natively with SAP S/4HANA, SAP ECC, Oracle EAM, IBM Maximo, and Microsoft Dynamics 365, and deploys on cloud, on-premise, or hybrid infrastructure.

Average Rating: 4.5/5.0

Total Reviews: 10

How Do G2 Users Rate Verdantis Master Data Management Suite?

  • Ease of Use: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind Verdantis Master Data Management Suite?

  • Seller: Verdantis
  • Year Founded: 2004
  • HQ Location: Princeton, US
  • LinkedIn® Page: www.linkedin.com
    82 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 70% Large, 40% Medium

What Do G2 Reviewers Say About Verdantis Master Data Management Suite?

AI-generated summary from verified user reviews

Pros
  • Users appreciate the ease of use of Verdantis, finding it fast and customizable for their data management needs.
  • Users praise the unified data management of Verdantis, enhancing efficiency and accuracy across multiple operational domains.
  • Users value the data accuracy of Verdantis, enhancing operational efficiency and streamlining management across multiple domains.
  • Users commend the data quality of Verdantis, which enhances efficiency and accuracy across inventory and operations.
  • Users love the time-saving benefits of Verdantis, enhancing efficiency and reducing delays across operations.
Cons
  • Users find the complex setup of Verdantis Master Data Management Suite frustrating due to the lack of off-the-shelf integrations.
  • Users find the difficult setup frustrating, as there’s no off-the-shelf integration and it requires significant time investment.
  • Users find the initial setup frustrating due to lack of ready-made integrations, complicating the process.
  • Users feel that the data management issues like time-consuming setups and required manual reviews hinder efficiency.

What Are Recent G2 Reviews of Verdantis Master Data Management Suite?

Datafi

Datafi unlocks enterprise data with AI — changing how everyone can find and use the business information they need, regardless of where or how it is stored across the enterprise data ecosystem. Our AI-powered platform connects data from all sources, while our AI-powered Agent transforms plain language questions into requests that find the information needed, while enforcing granular security and data quality controls. We empower everyone, from entry-level to executive-level, with their own personalized AI Agent. Our AI Agent is context aware, intent aware, and user aware, becoming smarter with each use while eliminating unwanted hallucinations. Join Datafi customers, partners and solution providers already powering their business with AI. Learn more at datafi.co

Average Rating: 4.9/5.0

Total Reviews: 4

How Do G2 Users Rate Datafi?

  • Ease of Use: 9.2/10 (Category avg: 8.7/10)

Who Is the Company Behind Datafi?

  • Seller: Datafi
  • Year Founded: 2020
  • HQ Location: Seattle, US
  • Twitter: @DatafiLabs
    29 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    15 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Large, 25% Medium

What Are Recent G2 Reviews of Datafi?

data.world

data.world is the most-adopted data catalog and governance platform on the market. Built on a unique knowledge graph foundation, data.world seamlessly integrates with your existing systems. We set the standard for swift, people-centric governance. We don't just manage data; we unlock its potential, paving the way for responsible AI adoption and data-driven decision-making at scale. data.world is a Certified B Corporation and public benefit corporation and home to the world’s largest collaborative open data community with more than two million members, including ninety percent of the Fortune 500.

Average Rating: 4.2/5.0

Total Reviews: 12

How Do G2 Users Rate data.world?

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

Who Is the Company Behind data.world?

  • Seller: data.world
  • Year Founded: 2016
  • HQ Location: Austin, Texas
  • Twitter: @datadotworld
    5,498 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    98 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 67% Small, 25% Medium

What Do G2 Reviewers Say About data.world?

AI-generated summary from verified user reviews

Pros
  • Users love the ease of use in data analytics with data.world, making data discovery enjoyable and straightforward.
  • Users value the ease of data discovery and analytics, enhancing their overall experience with data.world.
  • Users value the discoverability and ease of use in data management with data.world, enhancing data analytics efficiency.
  • Users enjoy the easy-to-use data visualization tools, making data discovery and analytics accessible and enjoyable.
  • Users enjoy the ease of use of data.world, making data discovery and analytics accessible and enjoyable.
Cons
  • Users often face poor customer support, leading to frustration when resolving issues or queries with data.world.
  • Users experience poor support services, leading to frustration when troubleshooting their issues on data.world.

What Are Recent G2 Reviews of data.world?

What Are G2 Users Discussing About data.world?

IBM InfoSphere Information Governance Catalog (IGC)

IBM InfoSphere Information Governance Catalog (IGC) is a web-based tool that allows you to explore, understand and analyze information.

Average Rating: 4.5/5.0

Total Reviews: 4

How Do G2 Users Rate IBM InfoSphere Information Governance Catalog (IGC)?

  • Roles Management: 9.2/10 (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: 8.3/10 (Category avg: 8.7/10)

Who Is the Company Behind IBM InfoSphere Information Governance Catalog (IGC)?

  • Seller: IBM
  • Year Founded: 1911
  • HQ Location: Armonk, New York, United States
  • Twitter: @IBMSecurity
    74,660 Twitter followers
  • LinkedIn® Page: www.linkedin.com
    344,328 employees on LinkedIn®
  • Ownership: SWX:IBM

Who Uses This Product?

  • Company Size: 50% Small, 25% Large

What Are Recent G2 Reviews of IBM InfoSphere Information Governance Catalog (IGC)?

What Are G2 Users Discussing About IBM InfoSphere Information Governance Catalog (IGC)?

Infoveave

Infoveave is an AI-powered unified data platform that helps enterprises automate data pipelines, improve data quality, enable predictive analytics, and turn insights into measurable business actions — all within a single environment. Unlike traditional BI tools or standalone ETL platforms, Infoveave connects the entire data lifecycle from ingestion and transformation to governance, analytics, and operational execution. Infoveave is built on a strong foundation of data governance and data security, ensuring consistent data management, compliance, and protection. With capabilities like data lineage tracking, metadata management, row-level security, and audit trails, the platform helps maintain data integrity and control. Key Features Fovea - AgenticAI Assistant Infoveave's AgenticAI, Fovea, is embedded across the platform. Fovea assists in building data transformations, suggesting insights, automating workflows, and simplifying advanced analytics, reducing technical dependency and improving cross-team adoption. Data Automation & Integration • 50+ native connectors (cloud apps, databases, warehouses) • Automated data ingestion & transformation • Workflow orchestration with monitoring & alerts • Real-time pipeline visibility AI-Powered Analytics & Predictive Modeling • AutoML for predictive insights • What-if scenario planning • Python integration for advanced modeling • API-accessible analytics endpoints Conversational Dashboards & Self-Service BI • Natural language queries • 100+ interactive visuals • Drill-down exploration • Scheduled & automated reporting Built-in Data Quality & Governance • Automated validation & anomaly detection • Data catalog & lineage tracking • Role-based access control • Audit trails & governance workflows Data Apps & Operational Workflows • Low-code applications • Integrated data capture forms • Automated decision triggers • Insight-to-action workflows Business Value • Faster deployment of data pipelines • Improved data accuracy and trust • Reduced reliance on multiple disconnected tools • Faster decision-making cycles • Measurable operational efficiency Infoveave unifies data automation, AI-powered analytics, governance, and operational workflows into one intelligent platform — turning enterprise data into trusted, actionable decisions.

Average Rating: 4.9/5.0

Total Reviews: 9

How Do G2 Users Rate Infoveave?

  • Ease of Use: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Infoveave?

Who Uses This Product?

  • Company Size: 44% Small, 22% Medium

What Do G2 Reviewers Say About Infoveave?

AI-generated summary from verified user reviews

Pros
  • Users find Infoveave to be easy to use, with smooth implementation and seamless data integration options.
  • Users highlight the easy integrations of Infoveave, enhancing data import and streamlining dashboard creation.
  • Users highlight the ease of use and quick implementation of Infoveave, enhancing data integration and visualization.
  • Users value the excellent community support, highlighting its reliability and top-notch assistance during implementation.
  • Users commend the excellent customer support of Infoveave, appreciating its reliability and top-notch assistance.
Cons
  • Users note the need for better help content as poor information leads to dependency on customer support.
  • Users face dashboard issues with isolating data, requiring extensive restructuring for multi-tenant reports.
  • Users face initial difficulties with data cleaning, needing extensive restructuring for effective dashboard functionality.
  • Users report data inaccuracy, facing initial difficulties with dashboards and tenant-specific reports that complicate their analysis.
  • Users faced initial difficulties with data integration, requiring substantial restructuring for effective dashboard functionality across tenants.

What Are Recent G2 Reviews of Infoveave?

Relyance AI

Your 24/7 Data Defense Engineer. Code to Cloud. Relyance AI is an AI-native data security and continuous compliance platform that autonomously tracks and protects sensitive data across code, cloud, SaaS, vendors, and AI systems. Unlike traditional compliance tools that rely on manual workflows and static assessments, Relyance AI continuously discovers data flows directly from source code to runtime environments — giving organizations real-time visibility and policy enforcement across their entire data ecosystem. Built for security, privacy, and engineering teams, Relyance AI enables: • Automated data mapping and Records of Processing Activities (ROPA) • Continuous privacy and regulatory compliance (GDPR, CCPA, AI regulations) • AI governance and third-party risk visibility • Real-time policy violation detection and prevention • Unified oversight across controllers, processors, and sub-processors By eliminating manual oversight and spreadsheet-based compliance, Relyance AI reduces operational burden by up to 80% while strengthening data protection and audit readiness. Visit www.relyance.ai to learn more.

Average Rating: 3.9/5.0

Total Reviews: 5

How Do G2 Users Rate Relyance AI?

  • Ease of Use: 9.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Relyance AI?

Who Uses This Product?

  • Company Size: 60% Medium, 40% Small

What Do G2 Reviewers Say About Relyance AI?

AI-generated summary from verified user reviews

Pros
  • Users value the strong security measures of Relyance AI, enhancing privacy and data management for legal professionals.
  • Users appreciate the seamless monitoring capabilities of Relyance AI for tracking personal data movement effectively.
  • Users value the automation capabilities of Relyance AI, enhancing productivity and reducing human errors significantly.
  • Users value the collaborative capabilities of Relyance AI, enhancing cooperation between engineers and lawyers for data privacy.
  • Users value Relyance AI for its ability to ensure global compliance with data protection laws through comprehensive analysis.
Cons
  • Users find the complex functionality of Relyance AI requires significant customization and poses a steep learning curve.
  • Users find that Relyance AI's data privacy features may overwhelm small companies still learning about data protection.
  • Users often find the lack of automation in Relyance AI leads to complex setups and reduced human oversight.
  • Users find the learning curve steep, needing significant customization and facing challenges in data integration and usability.
  • Users find challenges with complex implementation and customization of Relyance AI, affecting its overall usability and integration.

What Are Recent G2 Reviews of Relyance AI?

Synopsis

What Synopsis is Synopsis is a complete, AI-native data warehouse platform for mid-market companies. Synopsis replaces the traditional five-tool data stack — ingestion and ETL, cloud data warehouse, transformation and modeling, semantic layer, and BI and alerting — with one platform that goes live in 48 hours. Synopsis is built for companies that need a data warehouse but do not have, and do not want to hire, a data engineering team. Most data warehouse projects fail on people and time, not technology. Synopsis is designed around that fact: the Synopsis team performs the entire implementation, connects the source systems, rebuilds existing reports, and hands over a working warehouse. Hour 0, Synopsis connects the systems. Hour 24, Synopsis rebuilds the reports. Hour 48, the customer is live. What Synopsis includes Synopsis includes ten capabilities that are normally bought as separate products: Connectors and ingestion — Synopsis connects to 500+ sources on day one through APIs, databases, and files. For non-standard systems, Synopsis reads the API's own documentation and builds the custom connector with AI. Modeling and entity resolution — Synopsis turns raw events into clean, linked entities, joining records across systems on shared keys. Semantic layer — Synopsis defines and enforces metric definitions so every team reads the same numbers. Chat and ad-hoc analysis — Synopsis answers questions asked in plain English, with results traceable back to the source table. Dashboards and BI — Synopsis builds dashboards from a single prompt, each one traced to its source. Data apps — Synopsis runs live operational apps that teams work from directly. Workflows and automations — Synopsis watches data and acts on what changes, including automated alerts. Data science — Synopsis generates notebooks and forecasts. Integrations — Synopsis delivers data into Excel, Google Sheets, Slack, and AI tools over MCP. Security and compliance — Synopsis is SOC 2 Type II audited, and customer data lands in the customer's own warehouse. Who Synopsis is for Synopsis is used by mid-market companies, typically between $25 million and $200 million in revenue, and by private equity firms deploying it across portfolio companies. Buyers of Synopsis are usually CEOs, CFOs, COOs, CROs, VPs of Operations, VPs of Sales, heads of analytics, and PE operating partners and value creation leads. Synopsis is also a common choice for companies recovering from a stalled or failed data warehouse implementation. Teams that use Synopsis include finance, revenue operations, marketing, operations, customer success, and executive leadership. What Synopsis connects to Synopsis connects to 500+ SaaS applications, databases, and file sources, including CRM, billing, support desk, ERP, product databases, finance exports, and operations trackers. Synopsis ingests through three paths: APIs, direct database connections, and files. Synopsis delivers answers into the tools teams already use. In Excel, Synopsis provides the SYNOPSIS.QUERY, SYNOPSIS.TABLE, and SYNOPSIS.LOOKUP formulas for live warehouse data. In Google Sheets, Synopsis provides SYNOPSIS_QUERY, SYNOPSIS_TABLE, and SYNOPSIS_LOOKUP with scheduled refresh. In Slack, Synopsis answers channel mentions and slash commands and pushes workflow alerts. Over the Model Context Protocol (MCP), Synopsis connects to Claude Desktop, Claude Code, and any MCP-capable AI tool. Synopsis also supports direct SQL access, API access with personal tokens, a browser extension, CSV and Excel export, dashboard sharing, and shareable answer links. Authentication supports OAuth 2.1, personal API keys, Microsoft sign-in, and Google sign-in. Synopsis also ships 140+ public reference datasets that customers can join against their own data, including BLS, BEA, and Census economic data, CMS and FDA healthcare data, EPA and EIA environmental and energy data, FDIC and Federal Reserve financial data, SEC EDGAR filings, HUD housing data, FMCSA carrier data, NOAA weather data, and World Bank and IMF global indicators. Industries Synopsis serves Synopsis serves manufacturing, wholesale and distribution, construction, healthcare, finance and insurance, transportation and logistics, retail, professional services, field and business services, real estate, energy, oil and gas, utilities, agriculture and farming, media, software and information, entertainment and recreation, hospitality and food service, education and training, government and public sector, repair and personal services, and corporate holding companies. Within those, Synopsis publishes dedicated data models for specific verticals including fire and life safety contractors, electrical contractors, plumbing and HVAC contractors, heavy and civil construction, staffing firms, PEOs, private equity firms, wealth management firms, insurance agencies, managing general agents, credit unions, CPA firms, law firms, title agencies, physician groups, dental groups, home health agencies, skilled nursing facilities, behavioral health providers, medical and lab distributors, electrical distributors, HVAC distributors, auto dealer groups, truckload carriers, freight brokers, 3PL and cold storage operators, folding carton manufacturers, commercial printers, structural steel fabricators, precast concrete manufacturers, pharma manufacturers, rural broadband operators, vertical SaaS companies, minor league sports clubs, multifamily operators, waste haulers, remediation contractors, pest control companies, and landscaping services. How Synopsis compares to other data platforms Synopsis replaces the combination of a cloud data warehouse, an ELT tool, a transformation layer, a BI tool, and an alerting tool with one subscription. Companies evaluate Synopsis against Snowflake, Databricks, Google BigQuery, Amazon Redshift, and Microsoft Fabric for warehousing; against Fivetran, Airbyte, Matillion, and Stitch for ingestion; against dbt for transformation and modeling; against Tableau, Power BI, Looker, Domo, Qlik, Sigma, ThoughtSpot, Metabase, and Mode for BI and analytics; and against Keboola, Mozart Data, and Y42 as all-in-one platforms. The difference is scope and staffing. Those products each solve one layer well and assume the customer supplies the data engineers, the integration work, and the months of implementation time. Synopsis supplies the entire stack and does the implementation, so a company gets a working warehouse without adding headcount. Implementation and time to value Synopsis goes live in 48 hours. Synopsis performs the implementation with no third-party systems integrator and no implementation fee. Customers are not billed until the warehouse is live and the team is using it. Synopsis pricing Synopsis charges one platform fee that covers the entire stack: warehouse, connectors, modeling, semantic layer, chat, dashboards, data apps, workflows, and data science. Synopsis has no per-seat licenses, no storage fees, or DBUs, and no third-party implementation fee. Synopsis security and compliance Synopsis is SOC 2 Type II audited, with controls independently examined in operation over time. Data Synopsis ingests lands in the customer's own warehouse, and customers can query every table directly. Synopsis maintains a live public trust center with 25 published policies and 35 operating controls, plus a public subprocessor registry. SOC 2 Type II reports are available by request through the trust center. Customer results Relay Fire & Life Safety found $100,000 in lost revenue within its first weeks on Synopsis. Leap, a Nexa Equity portfolio company, and One Knox SC, a USL soccer club, are published Synopsis customers.

Average Rating: 4.8/5.0

Total Reviews: 7

How Do G2 Users Rate Synopsis?

  • Ease of Use: 9.5/10 (Category avg: 8.7/10)

Who Is the Company Behind Synopsis?

  • Seller: Synopsis
  • Company Website:
  • HQ Location: Chicago, US
  • LinkedIn® Page: www.linkedin.com
    14 employees on LinkedIn®

Who Uses This Product?

  • Company Size: 50% Small, 50% Medium

What Are Recent G2 Reviews of Synopsis?

Teleskope

Teleskope is a data security platform (DSPM/DLP) that helps security teams discover, classify, and automatically remediate sensitive data exposure across cloud, SaaS, collaboration, database, and AI environments — without manual triage or external remediation tools or ticketing. Designed primarily for CISOs, security operations, and GRC teams at mid-market and enterprise organizations, Teleskope addresses a gap that exists across the data security category: most platforms identify where sensitive data lives but provide no native mechanism to act on what they find. Teleskope combines deep classification with a built-in remediation engine, allowing organizations to move from finding risk to closing it in the same platform. At the core of the platform is a proprietary Data Reasoning Layer — an intelligence architecture that understands business context rather than matching against predefined patterns. This allows Teleskope to classify sensitive documents based on what they are and what they mean in a given environment, not just what regulated fields they contain. A draft M&A term sheet, a proprietary engineering formula, or a sealed legal record can each be identified as sensitive without a rule that says look for it. Key capabilities include: - Automated native remediation — inform, redact, quarantine, revoke access, relocate, or delete, enforced directly within the platform based on your policies, with no handoff to a ticketing system or external tool - Flexible deployment — air-gapped, single-tenant SaaS, or multi-tenant SaaS, covering regulated government and defense environments through to cloud-first enterprises - Broad connector coverage — cloud infrastructure (AWS, GCP, Azure), SaaS (Salesforce, ServiceNow, Workday), collaboration (Slack, Google Drive, Microsoft 365), databases (Snowflake, BigQuery, PostgreSQL), and AI tools (Microsoft Copilot, OpenAI, Claude) - AI data governance — classifies data before it reaches AI agents and copilots, blocks sensitive transfers to external LLMs, and governs what internal AI systems are trained on - Compliance-ready reporting — automated audit evidence for SOC 2, ISO 27001, HIPAA, PCI-DSS, GDPR, CCPA, and EU AI Act, with a full remediation log for every automated action. Key value propositions include: - Reduced risk exposure — high-confidence data exposure is remediated automatically and continuously, shrinking the attack surface in seconds rather than days. - Lower operational burden — security teams are freed from manual alert triage; customers report approximately one hour per week of active platform management after initial deployment. - Reduced legal and compliance liability — enforced retention policies eliminate data that has outlived its purpose, reducing what is discoverable in litigation, subject to breach. notification requirements, and exposed in regulatory inquiries. - Responsible AI adoption — security teams gain visibility and control over what data AI tools can reach before deployment, enabling organizations to adopt AI without creating ungoverned data exposure. - Faster time to value than legacy platforms — a crawl, walk, run deployment model brings customers from initial data map to governed automation in approximately six months. Teleskope is used by organizations in fintech, professional services, healthcare, hospitality, manufacturing, and the public sector, including Ramp, GoFundMe, The Atlantic, Aprio, Alloy, and Chevron Phillips.

Average Rating: 4.6/5.0

Total Reviews: 7

How Do G2 Users Rate Teleskope?

  • Ease of Use: 10.0/10 (Category avg: 8.7/10)

Who Is the Company Behind Teleskope?

Who Uses This Product?

  • Company Size: 50% Medium, 25% Small

What Do G2 Reviewers Say About Teleskope?

AI-generated summary from verified user reviews

Pros
  • Users value the automated classification of Teleskope, enhancing data discovery across various applications effortlessly.
  • Users value the intuitive collaboration of Teleskop, enhancing productivity and encouraging feedback-based improvements.
  • Users appreciate the comprehensive coverage of Teleskope, enjoying its intuitive connections and responsive support for data management.
  • Users value the intuitive connectivity of Teleskope, seamlessly integrating with various applications for improved data management.
  • Users value the easy deployment and intuitive connections of Teleskope, enhancing data discovery across applications.

What Are Recent G2 Reviews of Teleskope?

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