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Databricks acquires Mooncake Labs to make every piece of data immediately usable

Published on
9/10/2025
Amended on
25/3/2026
0
minute(s)
Odyssey 2021
Databricks
Valued at over $100 billion, Databricks is a leader in data management, thanks to its Lakehouse platform, which is used by companies such as Microsoft and Amazon. The California-based company, which is part of the Vintage FPCI Altaroc Odyssey fund, has just acquired Mooncake Labs, a company that enables any data to be utilized immediately.
By
Antoine Orsoni
Antoine Orsoni
Databricks acquires Mooncake Labs to make every piece of data immediately usable
This article has been automatically translated. Please excuse any inaccuracies or translation errors.
Dieser Artikel wurde automatisch übersetzt. Bitte entschuldigen Sie etwaige Ungenauigkeiten oder Übersetzungsfehler.
This article has been automatically translated. We apologize per inaccuracies or translation errors.

This acquisition is in line with Databricks ' strategy of making data immediately usable for analysis and artificial intelligence, without the usual technical red tape. End-users now have access to much more responsive products and services: an e-commerce site can adjust its recommendations instantly, a hospital can trigger alerts in real time, and a factory can adapt its production before a problem occurs.

Mooncake Labs has developed a technology that enables two traditionally separate worlds to work together seamlessly: data from applications (e.g. an e-commerce site, management software or online service) and data used for analysis, reporting or AI training. Today, in most companies, these two worlds do not communicate directly: data must be moved, transformed and synchronized through complex and costly technical processes. This takes time, energy and often creates errors. With Mooncake's tools, this barrier disappears. Data created or modified in an application becomes immediately available for analysis or for uses linked to artificial intelligence.

This renewal of the Databricks platform is profoundly changing the way companies use their data. Data is immediately usable, enabling the continuous production of dashboards, forecasts and automated decisions. By eliminating intermediate technical processes, costs and risks of error are reduced, while decisions are based on information that is always up to date and consistent, shared between all departments - software, analysts and artificial intelligence.

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