One read layer,
many problems solved
ReflexDB fits wherever you need fast, reliable reads without adding load to your production database.
Serve read-heavy endpoints without touching production
The problem: every read that hits your production database competes with writes, migrations, and analytics queries — and caching in front of it trades that contention for stale data and invalidation bugs.
ReflexDB removes the contention entirely by serving requests from an in-memory snapshot that stays current in real time.
- In-memory row store — no disk I/O on query paths
- Single-digit millisecond response times for simple lookups
- No cache warming required — data is always synced
- No stale-cache bugs — CDC propagates changes in under a second
- Handles spikes without connection-pool exhaustion on primary
A product listing endpoint hitting the primary on every request could see p99 drop from hundreds of milliseconds to single digits after moving reads to ReflexDB.
Writes go straight to your primary. Reads never compete with them again.
A filtered read layer purpose-built for search
The problem: search workloads need a different shape of data than your production schema provides — and standing up a search service usually means ETL pipelines and yet more infrastructure.
ReflexDB lets you declare exactly which rows and columns to expose — without schema changes, ETL pipelines, or dedicated infrastructure.
- Per-table
wherepredicates filter rows at sync time - Column allow-lists strip sensitive fields before they leave the DB
- Field aliasing maps internal column names to clean API names
LIKEandILIKEoperators for prefix and substring matching- Deploy a separate instance per search surface (e.g. products vs. users)
Rows and columns are filtered at sync time — sensitive fields never leave the database.
Run aggregations without touching production
The problem: dashboard queries — counts, sums, averages — are expensive on a live transactional database, and they always seem to run during peak write load.
ReflexDB executes them against an in-memory snapshot, with no query planner, no index selection, and no lock contention.
COUNT,SUM,AVGwith implicit GROUP BY on any field- Multi-field
ORDER BYfor pre-sorted results - Nested aggregations across FK-linked tables
- Results served from RAM — consistent latency regardless of table size
- No impact on your primary DB, even during peak write load
No query planner, no index tuning — aggregations scan memory at consistent speed.
Typed REST endpoints without writing middleware
The problem: mobile apps need read endpoints that are fast, authenticated, and shaped for the client — which usually means a custom API layer someone has to build and maintain.
With ReflexDB, you get all of that generated from your schema — no custom API layer, no ORM, no resolver boilerplate to maintain.
- API-key authentication on every endpoint — safe to call from mobile
- Embed related records in one request — no N+1 on the client
- OpenAPI spec available for generating typed client SDKs
- Pagination via
LIMIT+OFFSETfor infinite scroll - Deploy a mobile-specific instance with only the tables the app needs
Generate typed client SDKs straight from the OpenAPI spec.
Your database as a live data source for AI agents
The problem: AI agents and LLM workflows need structured, real-time data to answer questions accurately — and wiring a database into every agent means glue code and credentials sprawl.
ReflexDB's built-in MCP server exposes your database as queryable tools — immediately available to any client that supports the Model Context Protocol.
- MCP server auto-generated from your instance schema — no extra configuration
- Query your live data from Claude, Cursor, and other MCP-compatible tools
- CDC sync means AI agents always see the current state of your database
- API-key authentication — safe to expose to team tools
- Available on all plans at no additional cost
Secured with the same API keys as the REST endpoints — no glue code, no extra infrastructure.
Separate read layers for every team or application
The problem: different teams and apps need access to different slices of your data — and one shared database credential per consumer is how leaks happen.
Deploy separate ReflexDB instances with tailored schema configs — each exposing only the tables, columns, and rows its consumers need.
- One instance per app, team, or environment — each with its own schema config
- Column allow-lists ensure each consumer only sees the fields they should
- Row predicates filter to the relevant subset at sync time
- Independent API keys per instance — revoke one without affecting others
- Deploy in different regions to serve distributed teams where they work
Each instance exposes its own tables, columns, and rows — revoke one key without touching the rest.
Ready to offload your read traffic?
Start with one free nano instance. No credit card required.