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Built for the Agentic Era: Introducing MariaDB Enterprise Platform 2027

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Services

Why teams call us

Four places AI and cloud projects stall on the way to production. MariaDB AI & Cloud Enablement Services covers each one.

  • Problem: You want AI on your data, but don’t know which AI use case to start with, or what it will cost

    Solution: We shortlist your AI opportunities, with a cost and effort estimate for each

  • Problem: Your team has never configured an MCP Server, RAG pipeline or vector search

    Solution: We build and tune it with your team, so they can run and extend it themselves

  • Problem: You’re not sure who, or what, should have access once AI agents are in the mix

    Solution: Before anything goes live, we review who and what has access to your data

  • Problem: You want serverless, but need to know if it will save money for your traffic pattern

    Solution: We model your serverless spend against what you’re actually running today

How an engagement works

What’s included

Capability What it covers
AI Readiness Workshop

A fixed-scope, short engagement before you commit budget to a build. You’ll get:

  • A prioritized shortlist of AI opportunities specific to your data and use cases
  • A high-level architecture recommendation (MCP Server, AI RAG, vector search, or a combination)
  • A rough cost and effort estimate for each opportunity
  • A summary of any access or governance issues to resolve before building

The right starting point if you’re not yet sure what to build, or whether it’s worth building.

MCP Server Implementation

We design and deploy your MCP Server setup: access rules, read/write permissions and integration with the AI tools your team already uses. The result is an agent that can query your data usefully without becoming a security problem.

RAG Solution Build

We build your retrieval-augmented generation application end to end on MariaDB AI RAG, from data preparation through to a working API your application team can call. You get a working system, ready to go past proof of concept.

Vector & Hybrid Search Enablement

We implement and tune search for your specific use case, whether that’s semantic search, recommendations or an internal knowledge base, then hand over a configuration tuned to your data instead of the defaults.

Analytics Jump-start

We get MariaDB Exa installed and configured for your storage and performance needs.

Serverless Migration & Cost Review

We assess which of your workloads suit MariaDB Cloud Serverless, model what it will cost against what you’re actually running today, and manage the move where it makes sense.

AI Governance & Compliance Review

Before anything goes live, and as your AI use grows, we review who and what has access to your data, where processing happens, and whether that lines up with your internal policy and regulatory obligations. Available as a one-off review or an ongoing advisory retainer for teams scaling AI across multiple use cases.

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Vector Search & AI RAG

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MariaDB Cloud

Take the next step

This service applies to both self-managed MariaDB Enterprise Platform and MariaDB Cloud.

Yes. Your DBAs, platform teams and developers work hands-on with us throughout, so they walk away knowing how to run and extend what we’ve built together.

MariaDB Consulting covers architecture, performance, security, migration and upgrades across your MariaDB environment. AI & Cloud Enablement focuses on getting MCP Server, AI RAG, vector search and serverless running in production.

Yes. We integrate your MCP Server with the AI tools your team already uses, and build AI features into the applications your developers are already working on.