Architected for production.Proven under critical workloads.
From high-velocity realtime ingestion to autonomous AI agent fleets, discover how Aurabase's pure Rust and PostgreSQL 17 architecture eliminates critical bottlenecks without inflated infrastructure costs.
Four reference architectures examined
AI agents connected to PostgreSQL via the MCP protocol
Claude Desktop, Cursor, and custom agents querying the database without slow intermediary APIs.
In traditional AI architectures, connecting an LLM to a database requires a bespoke REST API layer prone to high latency and hard to secure without exposing superuser root credentials.
Aurabase natively integrates a Model Context Protocol (MCP) server coupled with PostgreSQL 17 and pgvector. Contexts and embeddings are indexed via HNSW directly in the database, while agent queries are bounded by Row-Level Security (RLS) policies tied to the user account.
Fragmented third-party stack vs Unified Aurabase architecture
Multiplication of silos & vendor lock-in
- ✕ Managed database hosted with a US hyperscaler subject to CLOUD Act extraterritoriality.
- ✕ Separate vector database (Pinecone, Weaviate) creating dual writes and sync drift.
- ✕ Node.js realtime engine subject to Garbage Collector pauses under high concurrency.
- ✕ Fragmented billing, inter-cloud network latency, and multiplied attack surfaces.
A unified engine built in pure Rust & PostgreSQL
- ✓ 100% European hosting (Scaleway Paris, Hetzner Frankfurt/Helsinki) shielded from CLOUD Act.
- ✓ Vector semantic search
pgvectorwithin the same ACID transaction. - ✓ High-performance Rust microservices and NATS JetStream streaming with sub-millisecond P99 latency.
- ✓ Single consolidated invoice, zero inter-provider network latency, and full portability via
pg_dump.
Production Partner & Co-Design Program
Preparing a demanding production launch or strategic migration? We work directly with CTOs and platform engineers to co-design the infrastructure blocks needed for your scale.