Elastic read scaling for your existing Postgres

Scale Postgres read performance without modifying your application, managing infrastructure, or migrating data.

Works with Amazon RDS, Aurora, and Supabase
Save up to 58% vs. traditional read replicas
Zero data migration, no code changes
Backed by

Scaling read workloads shouldn’t be your problem anymore

Traditional replicas are costly, inefficient, and more work than they should be.

You need more read throughput without re-architecting your stack

Dashboards, APIs, and analytics queries can bottleneck your primary database.

You need less infrastructure to manage, not more

Traditional replicas mean more nodes, more config, and more failover logic to maintain.

You need to handle peak traffic without paying for it 24 / 7

Peak traffic only lasts a few hours a day, but legacy replicas force you to pay for full capacity day and night.

Introducing Springtail

Scale Postgres read performance without scaling your ops

Springtail works with your existing Postgres database. Add elastic read capacity without changing your app or managing new infrastructure.

Springtail read scaling for PostgreSQL using logical replication, shared storage layer, and elastic compute nodes.

On-demand read scaling

Add or remove read capacity to match workloads. Only pay for what you use.

Works with your existing Postgres

Amazon RDS, Aurora, and Supabase are supported out of the box.

No code changes or rewrites

Queries are routed automatically, no app changes required.

Springtail scales read performance without extra engineering work or infra to manage.

Keep your Postgres

Works with your existing Postgres database

Documentation

Springtail uses Postgres logical replication to maintain a real-time copy of your data in a shared storage layer. You instantly get elastic read nodes that scale independently from your primary database.

Simply point your application to Springtail, and it routes reads to its elastic replicas and writes to your primary.

Real-time data sync

Streams data changes from your primary using Postgres logical replication.

Schema change tracking

Captures DDL changes with triggers to keep schemas in sync across nodes.

Postgres frontend

Utilizes Foreign Data Wrappers to expose the replicated data as Postgres tables.

Load balancing

Distributes queries across its replica nodes with consistent and optimized performance.

Book a demo

Keep your Postgres. Add elastic scale.

Scale read performance without switching your database or managing more infrastructure.

Frequently asked questions

What databases does Springtail support?
Which versions of Postgres does Springtail support?
How will Springtail import my existing data?
Do I need to install a Postgres extension for Springtail?
Why not just use traditional read replicas?
What kind of performance can I expect?