Layerbase

Teams building modern apps typically need several kinds of databases, such as Postgres for relational data, Redis for caching, a vector store for search, and a text search engine, and end up provisioning each from a different vendor. The page walks through a concrete example: Postgres on Neon, Redis on Upstash, vector search on Pinecone, and text search on Algolia, which together cost roughly $180-236 per month across four separate bills, each metered differently (compute-hours, per-command, per-search). Beyond cost, this means juggling four consoles, four connection models, and four sets of credentials, plus dealing with per-query fees, request meters, and bandwidth charges that make monthly costs hard to predict. Existing serverless database providers like Neon, Supabase, PlanetScale, and Railway each cover only one or two engines and still rely on usage-based metering rather than flat pricing.

Layerbase Cloud provides managed, serverless databases across 18 engines (including PostgreSQL, MySQL, Redis, MongoDB-compatible FerretDB, ClickHouse, DuckDB, Qdrant, Meilisearch, and TigerBeetle in alpha) under a single account and flat monthly plans with no usage meters. Idle databases scale to zero and wake in one to five seconds on connection, while paid plans offer an allocatable always-on pool for workloads that need to stay awake. Copy-on-write branching works across 16 of the engines, letting users create isolated, writable copies for previews, migration rehearsals, or destructive testing, and each database ships with a web IDE (SQL, document, key-value, REST, graph, or ledger) that can explain and fix failed queries. A guided migration flow lets users paste a connection string or API key from providers like Neon, Supabase, PlanetScale, or MongoDB Atlas and copy data in a single read-only pass into Layerbase without touching the original database, and the same engines are available locally via a CLI and Desktop app without requiring Docker.