Overview
DataGalaxy is a lightweight yet powerful SaaS data catalog and knowledge platform specializing in a remarkable user experience and business team engagement.
DataGalaxy is perfect for those looking for: a business glossary, active metadata management, data dictionary, data analytics, search and discovery, data lineage, data exploration, data traceability, data governance, data quality, and trustability.
DataGalaxy unites your business and IT teams like never before. It's the hub where your DataOps, Data Product, and Business teams can effortlessly scan, manage and share their common data knowledge and build a truly data-driven organization.
Scan the data knowledge Data Ops teams can select from over 70 connectors - and more every week - for modern and legacy data stack tools to ensure real-time cataloging and data observability. For deeper and custom integrations, DataGalaxy's knowledge graph is fully open with an extensively documented API and a rich Python SDK.
Manage and design the data knowledge Data Product teams need automation, productivity, and customization. Our AI data steward Metabot performs tedious or repetitive tasks so your data team can focus on high-value tasks like animating teamwork and collaboration, curating data sets, or designing the future of your data stack.
DataGalaxy's meta-model and assets layouts are customizable and extendable.
Share the data knowledge Business teams need lightning-speed access to insightful, trustable, and understandable information. DataGalaxy makes your data knowledge easy to discover, search, and share. Users can visually explore the data factory down to the column level with interactive lineages and diagrams. Integrations with Teams, Slack, Jira, Chrome, and Edge ensure your data knowledge is perfectly synchronized with your team's daily tools.
Born in France in 2015, DataGalaxy is growing rapidly and operates worldwide. It deploys via Kubernetes on any public, sovereign or private cloud hosting. On prem is also possible for sensitive sectors.
DataGalaxy is user-centric. As a client, you will be part of an active community of hundreds of clients and thousands of users who contribute to making DataGalaxy a better product giving their feedback and participating in product design workshops.
Highlights
- data catalog
- data governance
- meta data management
Details
Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost/12 months |
---|---|---|
Standard | 5 contributors + unlimited readers | $32,000.00 |
Vendor refund policy
no refounds
Legal
Vendor terms and conditions
Content disclaimer
Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Customer reviews
Easy-to-use data catalog tool
- Several modules to document our data both on IT and business side
- Possibility to customize the interface and the fields visible to users
- Integration of API gateways
- Variety of connectors
- Lineage visualizations
- Easy-to-reach and responsive support team
- Frequent improvements and releases
In addition, it facilitates communication between tech and business teams.
Easy to integrate into our data stack
We appreciate DataGalaxy intuitive UX/UI, which enables our business users to govern their data assets seamlessly.
We have experienced quick adoption throughout our company, beginning with data owners and data stewards to our business users. They use Data Galaxy daily.
We have implemented and integrated the connector and plugins in our infrastructure and automated them to avoid manual tasks. Our metadata remains current and accurate without having a human burden.
Their support team consistently provides clear answers and responds promptly.
The description of data processing (data lineage) was segmented by business units and restricted to IT teams because some information was deemed sensitive and couldn’t be shared with our business users.
Outil de catalogage spécialisé, flexible et simple d'utilisation
- Solution simple à prendre en main pour les utilisateurs simples (en consultation des catalogues) et pour les contributeurs (simplicité de la saisie des informations dans les catalogues)
- nombreuses fonctionnalités spécialisées : lignage entre données, traitements et usage ; évaluation de la qualité des descriptions ; possibilité de suivre des objets d'intérêt pour être notifié des évolutions ; possibilité de laisser des commentaires sur les actifs ; etc.
Cela offre une meilleure maîtrise de l'usage des données.
Outil de data gouvernance agréable et utile
- Moteur de recherche performant + filtre
- Support réactif
- SaaS facile à mettre en place
- Évolutif et orienté clients
- Glossaire métier
- Données clés
- Connaissance data facilité