DataGalaxy
vs. Atlan

• 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

• Customizable Interface: Atlan's interface is customizable but may require a higher level of technical know-how. (source)
• Learning Curve: The need for technical expertise could lead to a steeper learning curve for new users. (source)
• Consistency in Practices: Due to its customization options, there might be variability in data management practices across different teams, potentially affecting overall data quality and consistency(source)

• Collaboration Features: 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

• Collaboration Features: Atlan offers several features for team collaboration, enhancing collective data management efforts.
• Integration with Tools: It integrates seamlessly with popular collaboration tools like Slack and Microsoft Teams.
• Setup and Configuration: Setting up and configuring Atlan for effective collaboration across different teams and departments can be challenging, leading to potential inefficiencies

• • 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.
  
  

• Support Program: Atlan provides a comprehensive customer support program but has faced criticism for slow response times. (source)
• Technical Support Limitations: There are reports of limited support for more technical issues.(source)
• Documentation Quality: Users have expressed concerns about the tool's documentation not being up-to-date or helpful for resolving technical issues (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
  
  

• Cloud Deployment: Atlan's cloud-native design facilitates easy scalability and consistent performance.
• Integration Challenges: Users have reported difficulties integrating Atlan with various cloud environments, especially in complex hybrid setups.
• Additional Costs: The cloud-based deployment model may lead to extra expenses for organizations with significant data volumes or intricate integration requirements

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

Atlan provides a comprehensive range of connectors and integrations to facilitate various data management and governance tasks. Their integrations include:

• Data Sources: Atlan supports numerous data sources like Amazon Athena, Redshift, AWS Glue, Databricks, Google BigQuery, Hive, Azure Synapse Analytics, SQL Server, MySQL, Oracle, PostgreSQL, PrestoSQL, Redash, Salesforce, SAP HANA, Snowflake, Teradata, and Trino​.

• NoSQL Data Sources: Connectors are available for Amazon DynamoDB and MongoDB​.

• Business Intelligence Tools: Integrations include Amazon QuickSight, Looker, Metabase, Microsoft Power BI, MicroStrategy, Mode, Qlik Sense Cloud, Sigma, Sisense, Tableau, and ThoughtSpot​.

• Data Movement Tools: Atlan offers connectors for dbt Cloud, dbt Core, Fivetran, and Matillion​.

   

• 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 than Atlan according to some customer reviews.

• The Atlan Active Metadata Platform for AWS pricing information provided below outlines the total costs for different subscription durations, including access for 5 admins and 5 members. The subscription costs are $120,000 for 12 months, $220,000 for 24 months, and $340,000 for 36 months. Please be aware that additional taxes or fees may apply (source)
• Please note, additional costs may apply for readers and connectors.