Discovering the Leading 15 Data Governance Companies for Effective Data Management
Welcome to our comprehensive guide on the “Top 15 Data Governance Companies.” Data governance is essential for organizations to ensure data quality, compliance, and security. In this overview, we present the top companies at the forefront of data governance, each offering unique solutions to help organizations manage, protect, and harness their data assets effectively.
1. Collibra
- Company Name: Collibra
- Founders: Felix Van de Maele, Stijn Christiaens, and Pieter De Leenheer
- Founded Year: 2008
- Headquarters: New York, USA
- Awards Received: Gartner Peer Insights Customers’ Choice, Strong Performer by Forrester.
- Product Categories: Data Governance, Data Catalog, Data Privacy, Data Lineage.
- Description: Collibra is a leading Data Governance company that empowers organizations to effectively manage and govern their data assets, ensuring data quality, compliance, and visibility.
- Key Features:
- Data catalog and metadata management.
- Data lineage and impact analysis.
- Privacy and compliance management.
- Workflow automation and collaboration.
- Data stewardship and data dictionary.
2. Informatica
- Company Name: Informatica
- Founders: Gaurav Dhillon and Diaz Nesamoney
- Founded Year: 1993
- Headquarters: Redwood City, California, USA
- Awards Received: Multiple awards for data management and governance.
- Product Categories: Data Governance, Data Integration, Data Quality.
- Description: Informatica is a global leader in Data Governance and data management solutions, offering a comprehensive suite of tools to enable businesses to govern, protect, and analyze their data.
- Key Features:
- Data catalog and data quality assessment.
- Data lineage and data security.
- Data integration and data masking.
- AI-driven data discovery.
- Policy management and compliance.
3. Talend
- Company Name: Talend
- Founders: Bertrand Diard, Fabrice Bonan
- Founded Year: 2006
- Headquarters: Redwood City, California, USA
- Awards Received: Recognized for data integration and data governance solutions.
- Product Categories: Data Governance, Data Integration, Data Quality.
- Description: Talend provides a unified platform for data integration and governance, enabling organizations to ensure data accuracy, compliance, and transparency.
- Key Features:
- Data catalog and data quality profiling.
- Data lineage and impact analysis.
- Data integration and transformation.
- Collaboration and workflow automation.
- Data privacy and compliance.
4. IBM Data Governance
- Company Name: IBM
- Founders: Charles Ranlett Flint
- Founded Year: 1911
- Headquarters: Armonk, New York, USA
- Awards Received: Recognized for data governance and analytics solutions.
- Product Categories: Data Governance, Data Integration, Data Quality.
- Description: IBM offers a comprehensive suite of data governance and management solutions to help organizations govern, protect, and leverage their data assets effectively.
- Key Features:
- Data catalog and metadata management.
- Data lineage and impact analysis.
- Data integration and transformation.
- AI-driven data discovery.
- Policy management and compliance.
5. Alation
- Company Name: Alation
- Founders: Satyen Sangani, Aaron Kalb, and Venkatesh Ganti
- Founded Year: 2012
- Headquarters: Redwood City, California, USA
- Awards Received: Gartner Peer Insights Customers’ Choice, Cool Vendor by Gartner.
- Product Categories: Data Governance, Data Catalog, Data Stewardship.
- Description: Alation offers a data catalog and governance platform that promotes collaboration and enables organizations to discover, understand, and govern their data.
- Key Features:
- Data catalog and data discovery.
- Data stewardship and data lineage.
- Data governance collaboration.
- Business glossary and data access policies.
- Analytics for data usage and impact analysis.
6. DataRobot
- Company Name: DataRobot
- Founders: Jeremy Achin and Thomas DeGodoy
- Founded Year: 2012
- Headquarters: Boston, Massachusetts, USA
- Awards Received: Recognized for AI and machine learning solutions.
- Product Categories: Data Governance, AI and Machine Learning.
- Description: DataRobot specializes in AI and machine learning solutions that help organizations automate and enhance their data governance and analytics processes.
- Key Features:
- Automated machine learning.
- Model management and governance.
- Predictive analytics and AI-driven insights.
- Data quality and data preparation.
- Collaboration and model deployment.
7. OneTrust DataGovernance
- Company Name: OneTrust
- Founders: Kabir Barday
- Founded Year: 2016
- Headquarters: Atlanta, Georgia, USA
- Awards Received: Recognized for privacy and data governance solutions.
- Product Categories: Data Governance, Privacy Management, Consent Management.
- Description: OneTrust DataGovernance offers comprehensive solutions for data governance, privacy, and consent management, helping organizations comply with data regulations.
- Key Features:
- Data catalog and data lineage.
- Privacy management and consent tools.
- Data governance policies and reporting.
- Collaboration and workflow automation.
- Privacy compliance and risk assessments.
8. erwin Data Intelligence
- Company Name: erwin
- Founders: Adam Famularo
- Founded Year: 2016
- Headquarters: Melville, New York, USA
- Awards Received: Recognized for data management and governance solutions.
- Product Categories: Data Governance, Data Catalog, Data Modeling.
- Description: erwin Data Intelligence provides data governance and cataloging solutions to help organizations discover, understand, and govern their data assets.
- Key Features:
- Data catalog and metadata management.
- Data modeling and data lineage.
- Data governance policies and collaboration.
- Data privacy and compliance.
9. SAS Data Governance
- Company Name: SAS
- Founders: James Goodnight, John Sall
- Founded Year: 1976
- Headquarters: Cary, North Carolina, USA
- Awards Received: Recognized for analytics and data governance solutions.
- Product Categories: Data Governance, Analytics, Data Integration.
- Description: SAS Data Governance provides a robust platform for managing and governing data, enabling organizations to improve data quality, compliance, and decision-making.
- Key Features:
- Data catalog and data lineage.
- Data quality and data integration.
- Collaboration and workflow automation.
- Data privacy and compliance.
- Analytics for data usage and impact analysis.
10. Datum Data Governance
- Company Name: Datum
- Founders: Robert Sowah
- Founded Year: 2008
- Headquarters: Milton Keynes, UK
- Awards Received: Recognized for data governance and document management.
- Product Categories: Data Governance, Document Management, Records Management.
- Description: Datum Data Governance offers solutions for data and document governance, helping organizations manage their information assets effectively.
- Key Features:
- Data catalog and metadata management.
- Document management and records retention.
- Collaboration and workflow automation.
- Data privacy and compliance.
11. Varonis Data Security Platform
- Company Name: Varonis
- Founders: Yaki Faitelson and Ohad Korkus
- Founded Year: 2005
- Headquarters: New York, USA
- Awards Received: Recognized for data security and governance solutions.
- Product Categories: Data Governance, Data Security, File Analysis.
- Description: Varonis provides a comprehensive Data Security Platform that includes data governance, file analysis, and data security solutions to protect and manage sensitive data.
- Key Features:
- Data access and permissions analysis.
- Data audit trails and security alerts.
- Data classification and reporting.
- Collaboration and workflow automation.
- GDPR and compliance readiness.
12. erwin Data Modeler
- Company Name: erwin
- Founders: Adam Famularo
- Founded Year: 2016
- Headquarters: Melville, New York, USA
- Awards Received: Recognized for data modeling and governance solutions.
- Product Categories: Data Governance, Data Modeling, Data Lineage.
- Description: erwin Data Modeler offers data modeling and governance solutions, enabling organizations to design, document, and govern their data assets effectively.
- Key Features:
- Data modeling and design.
- Data lineage and impact analysis.
- Collaboration and workflow automation.
- Data privacy and compliance.
- Data quality and metadata management.
13. Ataccama ONE Data Governance
- Company Name: Ataccama
- Founders: Michal Klaus, David Mareš, and Andrej Klizan
- Founded Year: 2009
- Headquarters: Toronto, Canada
- Awards Received: Recognized for data governance and data quality solutions.
- Product Categories: Data Governance, Data Quality, Data Catalog.
- Description: Ataccama ONE Data Governance offers a comprehensive platform for data governance and quality, helping organizations manage and improve their data assets.
- Key Features:
- Data catalog and data quality assessment.
- Data lineage and impact analysis.
- Data governance policies and collaboration.
- Data privacy and compliance.
- Data stewardship and data profiling.
14. Axonius Data Governance
- Company Name: Axonius
- Founders: Dean Sysman, Ofri Shur
- Founded Year: 2017
- Headquarters: New York, USA
- Awards Received: Recognized for asset management and data governance solutions.
- Product Categories: Data Governance, Asset Management, Cybersecurity.
- Description: Axonius focuses on data governance as part of its asset management and cybersecurity platform, ensuring visibility and control over data assets.
- Key Features:
- Data discovery and classification.
- Asset and device management.
- Policy enforcement and compliance.
- Collaboration and automation.
15. Alteryx Data Governance
- Company Name: Alteryx
- Founders: Dean Stoecker, Olivia Duane Adams, Ned Harding
- Founded Year: 2010
- Headquarters: Irvine, California, USA
- Awards Received: Recognized for data analytics and governance solutions.
- Product Categories: Data Governance, Data Analytics, Data Integration.
- Description: Alteryx offers data governance as part of its analytics and data integration platform, enabling organizations to enhance data quality and governance.
- Key Features:
- Data integration and transformation.
- Data quality and data catalog.
- Workflow automation and collaboration.
- Data privacy and compliance.
- Analytics and reporting for data insights.