Data Knowledge Workplace
DataGalaxy is so much more than a data catalog. We offer the first platform dedicated to metadata mapping, active metadata management, and metadata knowledge sharing for the largest number of people.
Extension for Chrome and Edge
Your data knowledge follows you everywhere. You don’t need to navigate back and forth to your DataGalaxy platform to search or discover information about your data assets.
Comments
Share your opinion, react, exchange and contribute to the reliability of collective knowledge.
Tasks
Organize and animate the collaborative curation and maintenance of your data catalog.
Notifications
Keep up to date with updates and changes to the data that matters to your business.
Visual explorer
Explore and visualize how your data flows and lives within its context thanks to amazing lineages and diagrams.
Discover
DataGalaxy facilitates the recommendation of the most reliable data and provides an e-commerce-inspired search experience with unparalleled performance.
Management
& Governance
Under its consumer platform look, DataGalaxy embeds the meta data management and governance capabilities of the largest catalogs.
Knowledge Design Platform
Create data knowledge and design data stories at the same time with DataGalaxy’s diagrams, pipelines and lineages.
Metabot
Get valuable suggestions and insights from MetaBot, your AI Data Steward.
Observability
Bring observability on your modern data stack with deep integrations to gain control over data usage, accesses and costs.
Integrations
Plug and Play integration with the Modern Data Stack and more than 60 connectors to connect your catalog to the most famous data solutions.

Business Data Steward
Gil manages and spreads the knowledge of business experts within the business glossary

Data Scientist
Lailani searches and uses available data to create new predictive models

Business Analyst
Idriss organizes the data flows that collect and distribute the raw data

Data Manager
Mia promotes the data culture in the organization and facilitates the access to data for business users

Analytics Product Manager
Wyatt manages and builds the most appropriate analytics solution for his organization

Product Manager
Hiba is in charge of products that use or generate data

Data Architect
Eric organizes the technological data stack and the best practices around data

Data Engineer
Marie produces critical analyses for her organization based on data that she understands and documents

IT Leader
Ellen sets up the data systems and infrastructure of her organization