Springtail provides elastic read replicas for Postgres on Amazon RDS. Scale up compute to improve read-heavy workloads, and scale down during low usage to reduce costs.
Seamlessly replace your Amazon RDS for PostgreSQL or Aurora PostgreSQL read replicas with Springtail.
Instantly scale compute up or down for read replicas. 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 is a cloud-native distributed database that separates storage from compute, providing seamless horizontal scaling for read-heavy workloads.
Our service works alongside your existing Amazon RDS infrastructure, offloading and scaling reads while your Amazon RDS for PostgreSQL or Aurora PostgreSQL remains the trusted, primary store of data.
Say goodbye to over-provisioned read replicas.
With Springtail, you only pay for the performance you need—when you need it.
Unlike RDS replicas that are always-on at full capacity, Springtail offers on-demand scaling, reducing overhead and saving you money.
Scales replica 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 Amazon RDS.
Built on native Postgres replication. Zero migration.
Springtail connects to your existing Postgres instance.
It streams changes from your primary database in real time, letting you scale out read workloads without changing your existing 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 out read performance for your existing Postgres.