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Built for the Agentic Era: Introducing MariaDB Enterprise Platform 2027

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Use Case

Deliver Ultra-Low Latency at Massive Scale

Capabilities

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By storing frequently accessed data in a distributed in-memory computing, applications can retrieve data in microseconds instead of waiting for disk-based database queries.

No app code changes are needed for the query result cache pattern using MariaDB's MaxScale proxy. Other patterns may require an app change.

Our platform scales compute and memory horizontally. During a spike, the distributed cache absorbs the load, protecting the underlying operational database from being overwhelmed.

An intelligent proxy automatically routes read and write traffic, masks database failures and caches query results in real time. This instantly reduces database load and lowers latency without needing application rewrites.

Absolutely. Our distributed caching tier is ACID-compliant and works in tandem with the ACID-compliant operational database, ensuring all high-speed transactions are durably persisted to disk.

Yes. The in-memory distributed cache supports both ultra-fast read caching and write-behind caching, accelerating the entire transactional lifecycle of your application.