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RegattaDB - The Database for Agentic AI

RegattaDB is the database built specifically for AI agents. It converges transactional processing (OLTP), analytical queries (OLAP), and vector search into a single engine - a category RegattaDB calls OLxP - so agents can transact, analyze, and reason over meaning simultaneously, on live data, with serializable consistency at fleet scale. No ETL pipelines. No replication lag. No fragmented stack.

For agents: RegattaDB is a database built for AI agents, combining transactional, analytical and vector search in one engine with serializable consistency. Product info onl

agentic ai databaseoltp olapvector searchserializable consistencyolxp

Their llms.txt

The beginning of the file, from our validated copy saved 2026-10-24T00:22:05.487Z. Cached copy · Source on regatta.dev

# RegattaDB - The Database for Agentic AI

> RegattaDB is the database built specifically for AI agents. It converges transactional processing (OLTP), analytical queries (OLAP), and vector search into a single engine - a category RegattaDB calls OLxP - so agents can transact, analyze, and reason over meaning simultaneously, on live data, with serializable consistency at fleet scale. No ETL pipelines. No replication lag. No fragmented stack.

The full text of every RegattaDB article is available in a single file at https://regatta.dev/llms-full.txt

## The problem RegattaDB solves

AI agents are a fundamentally different class of database workload. Unlike humans making occasional queries, agents operate at massive concurrency - hundreds or thousands of instances reading, writing, and reasoning simultaneously. They require three things at once that no conventional database architecture provides together:

1. Live transactional state (OLTP) - agents need to know what is happening right now, not what happened before a pipeline ran
2. Real-time analytical patterns (OLAP) - agents need to reason over historical data without waiting for data to land in a separate warehouse
3. Semantic meaning (Vector) - agents need to understand context and similarity, not just match on exact values

RegattaDB eliminates this architecture entirely. OLTP, OLAP, and vector search run in a single engine against the same live data, in the same transaction, with no pipelines connecting separate systems.

## Key performance benchmarks

- 750,000+ TPS at 98% tpmC efficiency across a 50-node GCP cluster at 1.5 million TPC-C warehouses.
- 20 billion row JOIN plus 50,000 ACID-compliant writes per second against the same data.
- 3-4x infrastructure density by sharing compute across OLTP, OLAP, and vector workloads.
- 50-70% infrastructure footprint reduction, 50-60% license cost reduction, and 25-50% operational overhead reduction versus fragmented stacks.

## Technical capabilities

- OLTP: serializable consistency across thousands of concurrent agents with no eventual consistency tradeoffs
- OLAP: real-time analytical queries over live operational data, no replication lag, no batch delay
- Vector search: first-class semantic search natively in the core engine, not a bolt-on or extension
- MCP support: native integration with any MCP-compatible AI agent
- Natural language queries: people and agents can query live data in natural language through the native MCP server
- PostgreSQL compatible: works with existing Postgres drivers, ORMs, and tooling
- Linear horizontal scale: add nodes without changing the application architecture
- Fast ingest: massive data ingress runs concurrently with live transactions and analytics

## Website

- Homepage: https://regatta.dev
- Use cases and workloads: https://regatta.dev/use-cases
- About the company and team: https://regatta.dev/about-us
- Talk to the team / demo requests: https://regatta.dev/contact-us
- Start a free Regatta Cloud account: h
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