SpatiaLite fits lightweight, embedded, or mobile GIS work; PostGIS fits multi-user systems where several people or services read and write the same spatial data at once. SpatiaLite is a spatial extension for SQLite created by Alessandro Furieri, first released in 2008, and it runs inside the application as a library rather than as a separate service. PostGIS is a spatial extension for PostgreSQL, so it only works with a running PostgreSQL server that clients connect to.
| Dimension | PostGIS | SpatiaLite |
|---|---|---|
| Underlying database | PostgreSQL | SQLite |
| Server process required | Yes, a running Postgres instance | No, the database is a single file |
| Concurrent writes | Handles many simultaneous writers through Postgres's transaction and locking model | SQLite locks the whole file during a write, so concurrent writes from multiple processes are limited |
| Spatial index | GiST-based index structure | R-tree index module built into SQLite |
| Typical deployment | Server-side web GIS backends, spatial APIs | Embedded, offline, or mobile apps; portable single-file datasets |
When does each option make sense?
When PostGIS fits
PostGIS suits applications where multiple users or services query and update the same spatial dataset at the same time, such as a web mapping backend, an asset-tracking system, or an API serving spatial queries to many clients. It also fits projects that need PostgreSQL's broader feature set alongside spatial data, including replication, access control, and joins against large non-spatial tables.
When SpatiaLite fits
SpatiaLite suits offline or embedded scenarios: a field-survey app that stores data locally on a device, a desktop GIS tool shipping a self-contained dataset, or any case where the database needs to move between machines as one file with no install step. Because there is no server to configure, setup is faster for small teams or single-user tools.
Projects with one primary user, no network dependency, and a need for portability tend to land on SpatiaLite. Projects with concurrent access, larger datasets, or a need to integrate with other backend services tend to land on PostGIS.
Updated: July 21, 2026
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