Data Knowledge Workplace
DataGalaxy is much more than a data catalog. We offer the first platform dedicated to meta data mapping, active meta data management and meta data 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.
Give your opinion, react, exchange and contribute to the reliability of collective knowledge.
Organize and animate the collaborative curation and maintenance of your data catalogue.
Keep up to date with updates and changes to the data that matters to your business.
Explore and visualize how your data flows and lives within its context thanks to amazong lineages and diagrams.
DataGalaxy facilitates the recommendation of the most reliable data and provides an e-commerce inspired search experience with unmatched performance.
Sous ses airs de plateforme grand public, DataGalaxy embarque les capacités de management et de gouvernance des meta données des plus grands catalogues.
Knowledge Design Platform
Create data knowledge and design data stories at the same time with DataGalaxy’s diagrams, pipelines and lineages.
Get valuable suggestions and insights from MetaBot your AI Data Steward.
Bring observability on your modern data stack with deep integrations to gain control over data usage, accesses and costs.
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
Lailani searches and uses available data to create new predictive models
Idriss organizes the data flows that collect and distribute the raw data
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
Hiba is in charge of products that use or generate data
Eric organizes the technological data stack and the best practices around data
Marie produces critical analyses for her organization based on data that she understands and documents
Ellen sets up the data systems and infrastructure of her organization