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Why MariaDB is giving financial services a cache of its own

By Mani Nagasundaram

9 min read
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Key takeaways

  • MariaDB and FINOS announced Kevät, an open source distributed in-memory cache built around the needs of financial services, at the Open Source in Finance Forum in New York.
  • MariaDB is seeding the project with a version of the MariaDB GridGain codebase and is the project’s maintainer at launch.
  • A number of high-profile banks have joined the founding advisory committee to steer the roadmap alongside their peers.
  • Kevät is designed to deliver low latency at scale with security, auditability and compliance built in, as banks put AI agents onto live financial data.
  • The initial code is in FINOS’s standard contribution review and is expected on the FINOS GitHub in early 2027.

Kevät is an open source distributed in-memory cache designed around the needs of financial services. MariaDB and FINOS announced it at the Open Source in Finance Forum in New York, and the project is governed under FINOS, part of the Linux Foundation. MariaDB is seeding Kevät with a version of the MariaDB GridGain codebase licensed under Apache 2.0, and a founding advisory committee of banks will help set its direction.

A distributed in-memory cache keeps frequently used data in RAM across a cluster of servers, so applications can read it from memory instead of going back to the database every time. That cuts response times to under a millisecond. Because the data is spread across many nodes, the cache scales by adding servers and, with replicas configured, keeps serving data if a node fails. In financial services, caches like this sit underneath risk calculation, trading and payments.

MariaDB GridGain is the distributed in-memory caching and compute layer of the MariaDB Enterprise Platform. It sits between applications and systems of record and keeps hot data in memory for sub-millisecond response times, with ANSI SQL, ACID transactions and compute that runs on the nodes where the data lives. It also supports AI workloads such as semantic caching and agent memory. At one global top 5 bank, it cut a risk calculation from 3 minutes to 600 milliseconds. Read more in the MariaDB GridGain datasheet.

FINOS, the Fintech Open Source Foundation, is part of the Linux Foundation. It gives banks and other financial institutions a neutral, well-governed home to build open source software together, with governance designed by regulated institutions for regulated institutions.

The open source caches available today are general-purpose and serve every industry, so none were designed around the specific demands of financial services. As banks put AI agents onto live financial data, they need low latency at scale with security, auditability and compliance built in rather than bolted on. FINOS’s 2026 State of Open Source in Financial Services report found that 64% of respondents work at organizations that have already deployed agentic AI in production, while security and privacy risks (52%) and auditability and explainability (38%) rank among the biggest barriers to doing more.

The direction belongs to the financial institutions that rely on it. A number of high-profile banks have joined the founding advisory committee, where they help set priorities for the project alongside their peers.

MariaDB is the maintainer of the project at launch, with more maintainers to follow as the project grows. Regulated institutions need to know who maintains the code they run, how vulnerabilities are handled and how it will be supported over time, and MariaDB is committed to standing behind it.

The initial code is going through FINOS’s standard contribution review before it is published. MariaDB expects it to be available on the FINOS GitHub in early 2027.