DataGalaxy
vs. Collibra

• DataGalaxy is rated higher for ease of use according to Gartner Peer Insights with a rating of 4.9 stars based on 46 reviews​​.
• Offers a straightforward setup process, intuitive interface, and pre-built connectors for popular data sources, simplifying data connection and cataloging.
• The guided onboarding process helps users to get started quickly, reducing the learning curve.
  
  "DataGalay boasts a user-friendly interface that is both intuitive and efficient, streamlining the data governance process."
  Julien B - Product Owner

• Collibra holds a rating of 4.2 stars on Gartner Peer Insights, indicating a good level of user satisfaction regarding ease of use​​.
• Collibra features such as data classification, data lineage, search and discovery, and data governance capabilities contribute to its user-friendliness
• Provides a well-structured and user-friendly interface, although some users might find it less intuitive compared to DataGalaxy.

• DataGalaxy offers several collaboration features for teams to work together on data-related tasks
• Unique web browser plugin allows users to comment on and share data assets directly from their web browser
• Integrates with popular collaboration tools such as Slack and Microsoft Teams

• Collibra offers a data stewardship workflow that allows users to assign and track tasks, collaborate on data issues, and monitor progress.
• Collaboration features are not as robust as DataGalaxy. Users may need to rely on third-party tools to collaborate effectively.

• DataGalaxy offers customer support through an online help center, which includes a knowledge base, FAQs, and tutorials.
• The company also provides email support and has a dedicated support team that works with customers to resolve issues.
• DataGalaxy's customer support team is known for being responsive and providing personalized support to customers.
• DataGalayx launched a portal for customers (Users Voice) to submit ideas for improvements, responding within a 2 to 3 day timeframe​.

• Collibra offers a Premium Customer Support plan for those with more demanding support requirements, implying that standard support might not meet the needs of all customers.
• Limited customer support with long response times.
• Users may need to rely on community forums to find answers to their questions.
• Offers a customer portal where users can log issues, track tickets, and access knowledge base articles.
  
  

• Cloud native architecture allows for easy scalability with business needs
• Built on microservices and containerization technologies to handle increasing workloads
• Can seamlessly adapt to the changing needs of an organization
• Provides consistent performance even as the data landscape expands
  
  

• Provides a robust data catalog solution but is not primarily designed as a cloud native offering
• Initially developed as an on-premises solution and has since evolved to support some cloud deployments
• Lacks some of the key benefits associated with cloud native architectures

DataGalaxy offers a substantial library of ready-to-go connectors for a variety of data platforms:

• Data Warehouses & Databases: Snowflake, Databricks, Salesforce, MongoDB, DynamoDB, Azure Synapse, among others​.
• Data Visualization: PowerBI, Looker, Tableau Server, Qlik Sense, etc​.
• Data Processing and Others: Amazon Glue, Azure Data Lake, Teradata, Vertica, and more​.
• CRM and NoSQL: Hubspot, Salesforce, MongoDB, DynamoDB, etc​.
• Custom Integrations: Excel, CSV, and others for custom data integration needs

Collibra provides various connectors and integrations to enable seamless data governance and management:

• General Integrations: Collibra offers a way to integrate applications with the Collibra Data Governance Center via Collibra Connect, facilitating active data governance​.
• Technical Lineage and JDBC Data Sources: Collibra supports a wide range of JDBC data sources such as Amazon Redshift, Azure SQL Data Warehouse, Azure SQL server, Azure Synapse Analytics, Google BigQuery, IBM Db2, Microsoft SQL Server, MySQL, Oracle, PostgreSQL, SAP Hana, Snowflake, and more for creating technical lineage​.
• BI and ETL Tools: The platform supports many data sources and metadata sources, including JDBC data sources, ETL tools, and BI tools, for creating a technical lineage​.

• DataGalaxy offers flexible pricing options for their data catalog solution
• Provides a quote-based pricing model based on the specific needs of each organization
• Appears to be a considerably more affordable solution according to some customer reviews.
• Free readers and connectors

• Collibra's pricing starts at $170,000 for one year. (source: AWS Marketplace).
• Subscription to the Collibra Data Intelligence Cloud platform costs $170,000 for 12 months, $340,000 for 24 months, and $510,000 for 36 months. Additional services, such as improved customer support, may incur extra charges