Scale Postgres read performance without modifying your application, managing more infrastructure, or migrating data.
Supports Amazon RDS, Aurora, Supabase
No data migration, no application changes
Traditional replicas are costly, inefficient, and more work than they should be.
You need more throughput without re-architecting your stack
Analytics dashboards and reporting APIs are slowing down your primary database during peak hours.
Traditional read replicas increase your infrastructure overhead
Traditional replicas mean more nodes, more config, and more failover logic to maintain.
You're paying for idle replicas 20+ hours a day
Peak traffic only lasts a few hours a day, but traditional replicas force you to pay for full capacity 24/7.
Add or remove read capacity in seconds to match workloads.
Amazon RDS, Aurora, and Supabase are supported out of the box.
Queries are routed automatically, no app changes required.
Unlike traditional read replicas, Springtail uses a shared storage layer across all replicas. This allows new replicas to start up in seconds without needing to copy the full dataset.
Increase read throughput quickly by adding replica nodes as needed, making your application faster and more responsive under load without overprovisioning.
Springtail uses Postgres logical replication to maintain a real-time copy of your data in a shared storage layer. New replicas start in seconds without the need to copy your entire 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.
Connect through a standard Postgres endpoint. Easy to integrate, no vendor lock-in.
Scale read performance without switching your database or managing more infrastructure.