Database SaaS AEO Comparison 2026 — Postgres, Qdrant, Chroma, Redis, Turso, Supabase Agent-Readiness Ratings

Why compare DBs through an agent lens now

By 2026, the agent layer (planning, tool calls, memory) has stabilized — but the database layer underneath is still being reshuffled. Vector DBs for RAG, KVSes for long-term memory, RDBs for operations, edge SQLite for low-latency reads, multi-tenant serverless Postgres — the menu keeps growing, and each option is sprouting an MCP server.

KanseiLink aggregates self-reported agent data across 225+ services. The database tier sits in category: database and category: storage. This article focuses on the ten services that show up most frequently in agent integrations, ranked by AEO grade, measured latency, and license.

AEO ratings — RDB / Vector / KVS leaderboard

Pulled from KanseiLink's get_insights tool (April 2026 snapshot), sorted by AEO grade.

"—" indicates that as of April 2026, self-reported agent data was insufficient to publish a measured value. These services are listed as connectable, but we recommend collecting your own metrics in a small PoC before promoting them to production.

Anthropic's official Postgres MCP — what 'archived' really means

Anthropic publishes several reference implementations in modelcontextprotocol/servers; the Postgres server is the flagship. KanseiLink measurements show 82ms latency / 100% success / A grade (trust 0.8), the fastest round trip in the database tier.

# Example Claude Desktop config
{
  "mcpServers": {
    "postgres": {
      "command": "npx",
      "args": ["-y", "@modelcontextprotocol/server-postgres", "postgresql://localhost/mydb"]
    }
  }
}

The status change to "learning purposes / archived" in 2026 is often misread. It does not mean "deprecated" — it signals that Anthropic is handing day-to-day evolution over to community implementations. The reference server remains solid for read-only, schema-introspection workloads. For production work that requires writes, row-level permissions, or connection pooling, the practical choice is to switch to community-led implementations like pgEdge MCP, Postgres MCP Pro, or @anthropic/postgres-mcp.

Official Qdrant — the production vector DB pick

For RAG and long-term agent memory, the safest 2026 choice has become the official Qdrant MCP server (github.com/qdrant/mcp-server-qdrant, MIT license). KanseiLink measurements: 85ms latency / 100% success / A grade (trust 0.9).

The server defaults to the sentence-transformers/all-MiniLM-L6-v2 embedding model and ships with FastEmbed support. The --qdrant-local-path flag switches to local file-based mode, which lets you validate flows offline before touching managed Cloud. Smithery installation is also supported (npx @smithery/cli install mcp-server-qdrant --client claude).

Chroma — the lightweight prototyping option

For RAG prototypes in the "hundreds of thousands to a million" range, Chroma remains the popular pick. KanseiLink measurements: 100ms latency / 100% success / A grade (trust 0.8). Both Python and JS clients are available, and you can spin it up in a notebook with chroma.PersistentClient(path=...).

The MCP server is third-party (npx -y chroma-mcp) and uses bearer token auth. Persistence, backups, and horizontal scale need to be designed by hand for production, which is why many teams adopt the pattern "build with Chroma, switch to Qdrant before going live".

Redis and Turso — KVS and edge SQLite

For agent short-term memory, session context, and LLM response caching, Redis MCP is the default answer. KanseiLink measurements: 105ms latency / 100% success / BBB grade (trust 0.7). Setup uses modelcontextprotocol/server-redis and exposes keys, streams, pub/sub, and search.

Turso (edge SQLite / libSQL) gained noticeable presence in 2026. It replicates with low latency from 30+ regions and supports embedded local replicas. KanseiLink shows 100ms / 100% success / BB grade. There is no MCP server today (API only), but it is one to watch as a "local-first" DB for agents running on the edge.

Supabase, Neon, PlanetScale — managed Postgres in 2026

Supabase MCP is published at supabase-community/supabase-mcp and referenced from the official Supabase "Model context protocol (MCP)" docs. The major 2026 change: Supabase Auth now serves as an OAuth 2.1 / OpenID Connect provider, and the MCP server's default authentication has switched to OAuth Dynamic Client Registration. Personal Access Tokens (PATs) remain available for non-interactive scenarios such as CI/CD.

Neon ships @neondatabase/mcp-server-neon, while PlanetScale is API-only (no MCP server). Both are pitched as serverless Postgres / MySQL with branching, scale-to-zero, and instant provisioning. In an agent context, the operational pattern "let the LLM run a migration on a branch first, validate, then merge" is now realistic.

MongoDB Atlas and MySQL — meeting existing assets

MongoDB Atlas occupies the "document DB + vector search" position, with Atlas Search and Vector Search built in. There is a third-party MCP server (mongodb-mcp-server) operating through the Atlas Admin / Data API. Our AEO grade is BBB (connectable) with limited self-reported agent data, but it is a strong option when the goal is to bolt an agent onto an existing MongoDB-backed system.

For MySQL — OSS, RDS, Cloud SQL, PlanetScale — the practical baseline is "use modelcontextprotocol/server-mysql for schema introspection and read queries." KanseiLink measurements: 108ms / 100% success / BBB grade. Writes and stored procedure calls are still better served by a thin in-house API at the application layer.

Selection flow by use case

There is no single "always pick X" answer, but the flow below covers most situations.

• Primarily RAG / semantic search → official Qdrant MCP (production), Chroma (prototype)
• Read-only operational SQL → Anthropic's official Postgres MCP (start here)
• Operational SQL with writes / production → Supabase MCP / pgEdge MCP / @anthropic/postgres-mcp (community implementations)
• Agent long-term memory + caching → Redis MCP
• Edge low-latency key-value store → Turso (API today; MCP support is the next move)
• Connecting an agent to existing MongoDB / MySQL → third-party MCP + thin in-house API
• Multi-tenant SaaS with branching workflows → Neon MCP / Supabase MCP

FAQ

Which database should AI agents start with?

It depends on the workload. For structured operational data, Anthropic's official Postgres MCP (82ms / 100% / A). For RAG, the official Qdrant MCP (85ms / 100% / A, MIT). For prototypes, Chroma (100ms / 100% / A). For caching and session memory, Redis MCP (105ms / 100% / BBB).

Which vector DB MCP is production-ready?

As of May 2026, the official Qdrant MCP server. FastEmbed by default, both local mode and managed Cloud supported. Chroma is the prototyping pick; for production scale, the official Qdrant has the edge.

I heard the Postgres MCP was 'archived'. Is it still usable?

Yes. The reference implementation in modelcontextprotocol/servers has moved to "learning purposes / archived" status, but this signals "community-led from here," not "deprecated." Read-only and schema introspection are stable (KanseiLink: 100% success, 82ms). For writes and production ops, switch to community implementations like pgEdge MCP or Supabase MCP.

How does Supabase MCP authentication work now?

The major 2026 change: Supabase Auth is now an OAuth 2.1 / OpenID Connect provider, and the MCP server has switched its default authentication to OAuth Dynamic Client Registration. PATs remain supported for CI/CD and non-interactive flows.

How should I read the "—" entries in the table?

"—" means KanseiLink does not yet have enough self-reported agent data to publish a measured value. It does not imply poor service quality. We recommend collecting your own metrics in a small PoC before production rollout. Contributing measurements via our report_outcome tool helps the whole industry pick more accurately.