Serverless Postgres built for production workloads
Pixetric separates compute from storage so you can branch databases, autoscale queries, and pay only for the seconds you actually run.
import { pixetric } from 'pixetric/serverless'
export async function GET() {
const sql = pixetric(process.env.DATABASE_URL);
const rows = await sql`SELECT * FROM posts`;
return Response.json({ rows });
}Why teams choose Pixetric
Everything you need to ship Postgres-backed products without managing infrastructure.
Pixetric in numbers
Growing with every push
Pixetric keeps scaling so you do not have to
Branches created daily
Requests served per minute
Regions live today
Integrations
Works with your stack
Pixetric ships adapters and tooling for the platforms you already deploy to.
LLM pipelines
Store embeddings in Postgres and serve low-latency context windows.
Replit deployments
Preview a fresh database branch on every pull request.
UI builders
Connect Pixetric data sources into dashboards and custom apps.
Local IDEs
Connect securely from any IDE with scoped credentials.
Knowledge bases
Serve docs and support portals with globally replicated reads.
ML feature stores
Capture online/offline features in strongly consistent tables.
How Pixetric fits your workflow
- 01
Create project
Import your existing data or start fresh.
- 02
Branch per change
CI and QA get isolated databases without waiting on ops.
- 03
Observe & tune
Live metrics and query insights highlight bottlenecks.
- 04
Promote & scale
Merge back to main, add replicas, and launch globally.
Plans for every stage
From free developer branches to dedicated control planes.
Observability & control
Live metrics, query insights, and built-in alerting keep every branch healthy.
FAQ
Frequently asked questions
Launch a branch in seconds
Create a Pixetric project, connect your app, and ship without waiting on infrastructure.
Loved by engineering teams
Why builders switch to Pixetric
Sara Patel
CTO, Lumen AIPixetric let us branch Postgres for every experiment without touching ops tooling. It feels like git for data.
Carlos Mendes
Head of Platform, OndaAutoscaling compute means we stopped pre-provisioning instances for launch days. Usage-based billing keeps finance predictable.
Lena Martin
Staff Engineer, CourierLabsObservability is built-in. Query plans, latency histograms, and alerts ship by default.
Jamal Freeman
Founder, ConsiliencePreview branches drastically reduced how long QA takes. Every pull request ships with its own copy of production data.
Emilia Zhou
Director of Data, CollabOSGlobal read replicas are literally a toggle. Latency for APAC customers dropped under 70ms overnight.
Noah Green
Principal Engineer, ArcbytePoint-in-time recovery saved us after a bad migration. We rewound the database by 40 seconds and carried on.
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