Alation
vs. Collibra

• Alation has a rating of 8.5 for ease of use on G2, indicating that users find it relatively easy to navigate and use​​. (Source)
• On Gartner Peer Insights, Alation has a rating of 4.5 stars based on 159 reviews, suggesting a good level of user satisfaction regarding ease of use.(Source)
• However, despite the positive ratings, some reviewers have found Collibra easier to use, set up, and administer when compared to Alation​(Source)

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

• 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

• Alation also supports collaborative data governance by providing a shared environment for data discovery and analysis.
• Alation offers features like collaborative analytics, a shared SQL editor, and the ability to comment on and share queries and datasets.
• By leveraging machine learning, Alation helps to automate many aspects of data governance, making collaboration more efficient and effective.

• Collibra offers a data stewardship workflow that allows users to assign and track tasks, collaborate on data issues, and monitor progress.
• Collibra offers features like workflows, assignments, and discussions that facilitate teamwork.
• The ability to tag colleagues in comments and share data assets directly enhances the collaboration experience.

• 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

• Alation also provides multiple channels of support including email, phone, and a support portal for ticket submissions and knowledge base access.(Source)
• They offer training and educational resources to help customers get the most out of their platform.
• Similar to Collibra, Alation may also offer dedicated account managers or customer success managers to ensure customers achieve their desired outcomes with the platform.

• 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.(Source)
• Collibra offers a customer portal where users can log issues, track tickets, and access knowledge base articles. 
  
  

• 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​.

• Cloud-Native Architecture: Alation can be deployed in the cloud, utilizing a cloud-native architecture which allows for better scalability and flexibility.
• Integration with Cloud Data Sources: Alation supports integration with various cloud data sources and data warehouses, allowing organizations to manage and catalog their data wherever it resides.(Source)
• Support for Cloud-Based Analytics: Alation facilitates cloud-based analytics by integrating with cloud-based data visualization and analytics platforms.

• Cloud Deployment: Collibra also supports cloud deployment, offering a cloud-native platform for data governance and metadata management.
• Integration with Cloud Data Warehouses: Collibra can integrate with various cloud data warehouses and platforms, facilitating cloud-based data governance.
• Collaboration in the Cloud: Collibra provides cloud-based collaboration tools that allow teams to work together on data governance tasks, irrespective of their location. (Source)

• 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

Alation provides various connectors and integrations to enable data governance and management:

• Database Connectors: Alation provides connectors for a variety of databases including PostgreSQL, MySQL, Oracle, and Microsoft SQL Server among others.
• Big Data Connectors: Connectors for big data technologies such as Hadoop, Hive, and Spark are also provided by Alation.
• Cloud Data Source Connectors: Alation supports connections to cloud data sources like Amazon Redshift, Snowflake, and Azure SQL Data Warehouse.
• BI Tool Connectors: Integration with BI tools like Tableau and Power BI is facilitated through connectors provided by Alation.

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 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

• Alation's pricing starts at $60,000 for one year. (source: AWS Marketplace). (Source)
• For an organization with 300 Alation users, the annual cost is $246,000, escalating in Year 2 and 3. Costs cover server subscription and vary with user count and license types: Contributors, Consumers, and Collaborators. (Source) 

• Collibra's pricing starts at $170,000 for one year. (Source).
• 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 (Source)

• 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