We’re excited to announce that Mooncake Labs is becoming a member of Databricks. Mooncake accelerates the imaginative and prescient of Lakebase, a brand new class of OLTP database constructed on Postgres and optimized for AI brokers. With Lakebase, builders achieve a single basis for purposes, analytics and AI, totally built-in with the Databricks Lakehouse and Agent Bricks.
Constructing for the pace of brokers
AI brokers are reworking software growth, producing and deploying code at a tempo no human can match. Every new workload brings new knowledge that have to be linked, ruled, and made obtainable immediately. Conventional OLTP databases, constructed on decades-old architectures and sitting outdoors the information platform, weren’t designed for this world. They rely upon brittle pipelines and silos that sluggish builders down, enhance prices, and create fragility.
Mooncake addresses this problem by letting builders and brokers run transactions, analytics, and AI workloads on the identical recent knowledge with out the overhead of ETL pipelines. Postgres modifications are mirrored in actual time to the lakehouse, making certain analytics and AI keep present as brokers create new tables, occasions, and workflows at unprecedented speeds.
What this implies for patrons
With Mooncake’s improvements integrated into Lakebase, builders and enterprises achieve:
- Unification: A single basis for apps, analytics, and AI, powered by the identical recent knowledge
- Scale with brokers: The power to deal with speedy creation of apps and knowledge sources with out having to handle an explosion of advanced ETL pipelines
- Agent-ready integration: Information is out there immediately into the Lakehouse and Agent Bricks, enabling real-time reasoning and decision-making by AI brokers.
- Group experience: The Mooncake staff brings deep data of Postgres and open desk codecs, with confirmed innovation on the intersection of OLTP and the lakehouse.
The staff behind Mooncake
Past the expertise, the Mooncake staff brings deep experience in Postgres internals, distributed techniques, and open desk codecs like Iceberg. Founders Zhou Solar, Cheng Chen, and Pranav Aurora have constructed merchandise that bridge the hole between transactional workloads and large-scale analytics, with a concentrate on pace, reliability, and openness. Their expertise on the intersection of OLTP and AI-scale workloads strengthens Lakebase’s capacity to ship on its imaginative and prescient: a unified basis for purposes, analytics, and AI brokers.
Wanting forward
Collectively, Databricks and Mooncake will reimagine the operational database for the age of AI. The long run will probably be outlined by agent-driven purposes that generate and adapt code, workflows, and knowledge at machine pace. To help this shift, enterprises want a single basis the place purposes, analytics, and AI brokers all run collectively — with out pipelines, silos, or delays. By combining Lakebase’s new structure with Mooncake’s improvements, we’re constructing that basis.
