Scale Postgres read performance without modifying your application, managing infrastructure, or migrating data.
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.
Springtail works with your existing Postgres database. Add elastic read capacity without changing your app or managing new infrastructure.
Add or remove read capacity to match workloads. Only pay for what you use.
Amazon RDS, Aurora, and Supabase are supported out of the box.
Queries are routed automatically, no app changes required.
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.
Streams data changes from your primary using Postgres logical replication.
Captures DDL changes with triggers to keep schemas in sync across nodes.
Utilizes Foreign Data Wrappers to expose the replicated data as Postgres tables.
Distributes queries across its replica nodes with consistent and optimized performance.
Scale read performance without switching your database or managing more infrastructure.