Developers facing Postgres scalability limitations can either migrate to a different database or create a custom backend, both of which can be time-consuming. Springtail is a solution that enhances Postgres performance by offloading and scaling read execution while keeping the existing Postgres instance as the primary data store. It allows for horizontal scaling of read-heavy workloads without extensive application changes or data migrations. Springtail's architecture distributes queries across multiple nodes to improve query throughput. The initial offering includes scalable, on-demand read replicas for Postgres on AWS, which share a storage layer and can independently scale compute resources, allowing users to activate or deactivate replicas as needed. This approach can lead to savings of up to 58% on Postgres read replication compared to Amazon RDS. Springtail was founded in 2023 and is based in the San Francisco Bay Area, supported by Gradient.