The Agent-Native Database
The infrastructure layer your AI stack has been missing.
Realtime Agentic Insights
The moment new data lands, your agents can already act on it
Scalable and Performant
Enable Agents to get Instant Answers to Complex Data Questions
Shared Single Source of Truth
All Your Agents Reason From One Shared Knowledge Base
Agentic Safety
Verify Privileges and Restrict Access to Approved Data
Supercharge Your Agents
1.75x
Increase in Token Efficiency
0.39x
Cost of your LLM-SQL Pipeline
5.34x
Faster Responses for your Agents
Solution
The Database That Makes AI Agents Production-Ready
Without CedarDB
I can't trust my agent not to access, drop, or modify data it isn't supposed to.
With CedarDB
CedarDB has a fine-grained access control system letting you easily control exactly what each agent can see and modify.
Without CedarDB
SQL generated by our AI agents is too complex and thus doesn't produce the desired results within our SLOs
With CedarDB
CedarDB's optimizer makes easy work of even the most complex queries crunching terabytes of data. Your AI agents will never be slowed down by the database.
Without CedarDB
My agent's knowledge base is fractured between different unstructured markdown files and quickly outgrows its context window.
With CedarDB
CedarDB stores agentic memory in a structured and queryable format that your individual agents can pick and choose from easily without requiring the full context all the time.
Without CedarDB
Siloed, fractured and unstructured markdown files make it hard for agents to collaborate.
With CedarDB
CedarDB allows agents to share their memory and collaborate without conflict.
Everything Your Stack Already Does.
Plus Agents, on Live Data.
Individual agents can access the freshest data, offload complex analytical tasks, and persistently track their findings and results.
Agents can work in teams, each with its own consistent view of the data, accessing sub-results from other agents to collaborate on complex tasks.
Human analysts can control and monitor agentic tasks, access their findings, and continue investigating through familiar interfaces.
Existing non-agentic workloads continue to work without change, preserving your current workflows.
CedarDB serves as your operational database, ingesting live data as it arrives with full ACID guarantees.
AI Agents as First-Class Citizens
See how CedarDB lets you create, control, and monitor AI agents working directly on your live data. You decide what they can touch. They handle the rest.
Agentic Safety at the Database Level
Define Exactly What's Accessible
Grant or deny access on any database object. For finer control, row-level policies filter exactly which rows each role can see, evaluated per query based on who is asking.
Attach Permissions to Your Agents
Agents access only what their role permits, without needing to know the rules exist. Checks run inside the database, not agent code, so no prompt injection or flawed reasoning can sidestep them.
Scoped Permissions Per Task
Assign each agent type its own role with exactly the permissions it needs. Run a read-only analyst alongside a write-capable orchestrator, each seeing only what it should.
Continue reading
Read more in the CedarDB Blog
Prompts Don't Enforce Business Rules. Databases Do.
CedarDB co-founder Lukas Vogel on why AI agents are forcing a long-overdue conversation about where enforcement actually lives.
My Take on Vibe Coding
I often enjoy vibe coding, but I think we're still far away from AI writing all your code. Read my collection of specific tasks and how well vibe coding them went.
CedarDB Launches HTAP (10 Years Ago)
Unifying transactions and analytics is once again making news headlines as the holy grail for AI agents. But it is hardly news. Umbra, the research behind CedarDB, started 10 years ago, and even then it was not the first. With CedarDB, what other vendors still call impossible is running in production today.