
Atlan
Atlan is a data democratization company that helps data teams collaborate frictionlessly.
Date | Investors | Amount | Round |
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- | investor investor investor investor | €0.0 | round |
investor | €0.0 | round | |
investor investor investor investor investor investor investor investor | €0.0 | round | |
investor investor investor investor | €0.0 Valuation: €0.0 | round | |
investor investor investor investor investor | €0.0 Valuation: €0.0 | round | |
* | $105m Valuation: $750m | Series C | |
Total Funding | 000k |
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Atlan is a data management startup that provides a unified platform for teams to access, understand, and trust their data. The company operates in the data management market, serving a wide range of clients from startups to large enterprises. Atlan's business model is centered around its unique data catalog that organizes and activates metadata, eliminating data silos and enhancing collaboration within data teams.
The company's platform integrates with various industry-leading tools, creating a comprehensive data stack that brings together all data-related operations. This integration capability reduces friction between data producers and consumers, fostering data democratization. Atlan's platform is not just a tool, but a destination for data management, offering personalized, collaboration-first, and automated metadata services.
Atlan's revenue model is likely based on a pay-as-you-go system, where clients are charged based on their usage of the platform's services. This flexible pricing model makes Atlan an attractive option for businesses of all sizes. The company's competitive edge is further highlighted by its strong customer service, with clients praising its instant response times.
In summary, Atlan is a robust competitor in the data management market, offering a comprehensive, user-friendly platform that enhances data accessibility and collaboration. Its flexible pricing model and strong customer service make it an attractive option for businesses looking to streamline their data management processes.
Keywords: Data Management, Metadata, Data Catalog, Data Democratization, Integration, Collaboration, Pay-as-you-go, Customer Service, Data Accessibility, Data Teams.