Postgres for
agentic workloads
Create instant database clones with production-like data for every agent, workflow, and CI/CD pipeline.
Engineering teams use Xata for agentic workloads
Agents don't need a better database. They need thousands of them.
To safely test, experiment, and execute workflows, agents need isolated databases with production-like data. With Xata, clone any Postgres database in under a second without multiplying storage.
Where the traditional workflow restores a database from a SQL dump, Xata creates a branch with the schema and data cloned and anonymized — without copying storage.
Agent-driven development
Every agent run and CI job gets its own Postgres with production data. Spin up, run, preview, and discard thousands of times per hour.
Simulation and RL training
Every RL episode needs a fresh Postgres from a known state. Snapshot a baseline, spawn thousands of copies, run in parallel, discard, repeat.
Agent platforms
Give every agent its own isolated Postgres database with production-like data. Create millions instantly without making free tiers economically impossible.
Instant branching
Clone any Postgres database in under a second, regardless of size.
Copy-on-write
Using copy-on-write storage, each branch shares data with its parent and stores only changes instead of creating full copies.
Scale to zero
Run branches only when needed. When idle, they hibernate and use no compute.
Instant wake-up
Subsecond cold starts. Branches wake on first query and respond instantly — no connection timeouts, no spin-up delays.
Vanilla Postgres & extensions
Xata runs 100% upstream PostgreSQL without significant modifications.
What does a database per pull request cost?
Consider a company creating 100 pull requests per day against a 1 TB production database. With traditional database infrastructure, giving every pull request its own isolated database quickly becomes unsustainable.
- Per database compute
- 24 hrs
- Per database storage
- 1 TB
- Total compute
- 100 × 24 = 2,400 hours
- Total storage
- 100 × 1 TB = 100 TB
- Per database compute
- ~ 3 min
- Per database storage
- 30 GB
- Total compute
- 100 × 3 min = 5 hours
- Total storage
- 1 TB + (100 × 30 GB) = 4 TB
Adopt Xata on your terms
Use Xata without moving your production database. Works with any Postgres in RDS, Aurora, Cloud SQL, or self-hosted.
AWS
Azure
Google Cloud
Hetzner
No migration required
Connect your existing RDS, Aurora, Cloud SQL, or self-hosted Postgres. Or host your primary database on Xata.
Xata cloud or BYOC
Xata-managed cloud by default, or deploy the data plane in your own AWS or GCP account.
Built-in anonymization
PII is detected and anonymized automatically during replication. Branches start clean by default.
Production-ready Postgres
Need a production database too? Xata runs vanilla PostgreSQL with high-performance storage, isolation, and instant branching built in.
Xata includes built-in production observability for your database — uptime, query latency, throughput, and active connections.
Vanilla Postgres
No forks, no proprietary APIs. Just PostgreSQL.
Read replicas
Scale reads independently from writes.
Database recovery
Restore your database to any point in time.
Premium storage
NVMe-backed storage for low latency and high throughput.
What our users are saying
See what engineers, builders and leaders are saying about Xata.
Xata is currently the best way to run the pg_duckdb extension in the cloud. The platform’s flexibility and API access make Xata the perfect PostgreSQL partner for us.
CEO, MotherDuck
Xata was an easy choice for our team because of how straightforward the entire platform is, while simultaneously providing a suite of adequate features that we need. The Xata team has also been super responsive and more importantly quick to resolve the hiccups that we brought upon ourselves.
Lead Software Engineer, Safestreets
By adopting Xata, we cut database costs vs. our RDS setup and got better help from Postgres experts.
Co-founder, CallKarma.ai
Xata was a no-brainer for our team. We get a lot of value out of the copy-on-write database branching and scale-to-zero features.
Software Engineer, SaaSgrid
Postgres for agentic workloads.
Use your existing Postgres. Run it better with Xata.
