Built for developers and data teams who want to scale read performance, without data migrations or code changes.
Springtail lets you add elastic read replicas to your existing Postgres database. Scale up additional compute to handle read-heavy workloads, scale down to reduce costs when usage drops.
Works with your existing Amazon RDS for PostgreSQL, Aurora PostgreSQL, or Supabase instances.
Instantly scale compute for read heavy workloads. Pay only for the capacity you need, when you need it.
Deploy additional read replicas in seconds. No tedious setup or lengthy syncing delays.
Springtail separates storage from compute, providing seamless horizontal scaling for read-heavy workloads.
You can use Springtail with your current Postgres infrastructure. No application changes or data migration required.
Say goodbye to over-provisioned read replicas.
With Springtail, you only pay for the performance you need, when you need it.
Unlike traditional replicas that are always-on at full capacity, Springtail offers on-demand scaling, reducing overhead and saving you money.
Scales read compute nodes up or down to match workload requirements.
Seamlessly increases storage capacity as your data volume expands.
Distributes queries across replicas with consistent and optimized performance.
Offloads read queries to Springtail, sends write traffic to your primary database.
Built on native Postgres replication. Zero migration.
Springtail connects to your existing database instance using native Postgres replication.
It streams changes from your primary database in real time, letting you scale out read workloads without changing your existing Postgres infrastructure.
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.
Routes unsupported queries, like inserts/updates/schema changes, back to the primary.
Scale read performance for your existing Postgres database.