Embedded database
An embedded database is a database engine integrated into and running within the same process or runtime as the application that uses it.
Latency
An embedded database is a database engine that runs in the same process or memory space as the application using it.
- How it is used
- Deploys database access inside a Rust REST API to reduce request latency and measure colocation’s performance effect.
- How deep it goes
- Descends through connection setup, request handling, benchmarking, and latency distributions, but does not develop database internals.
- Examples
- Uses a SQLite-backed /hello endpoint, direct SQL queries, wrk output, and an eCDF comparing SQLite with PostgreSQL.
- What you can do after
- Apply it via Rust, Actix Web, SQLite, and wrk to build and measure a colocated database-backed endpoint.
Spring in Action, Sixth Edition
An embedded database is a database engine that runs within the application process or development environment rather than as a separately managed service.
- How it is used
- Supports local development and testing without a separately running database service.
- How deep it goes
- Explains dependency and configuration choices, then defers production deployment to external database properties.
- Examples
- Uses Flapdoodle embedded MongoDB and H2 in-memory databases, including fixed H2 naming for console connections.
- What you can do after
- Configure an embedded MongoDB or H2 database for development and testing, then point Spring Data MongoDB at production infrastructure.
Read how Spring in Action, Sixth Edition explains embedded database →
Related concepts
- SQLiteincludes · SQLite is a self-contained, serverless relational database engine implemented as a software library that stores and queries databases in files or memory.
- Mnesiaincludes · Mnesia is an embedded Erlang database supporting in-memory and disk-based tables, transactions, indexing, sharding, and replication.
- databasekind of · A database is an organized collection of persistent data managed by software for storage, retrieval, querying, and modification.
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