Liquibase vs PostGIS: What are the differences?
Developers describe Liquibase as "Source control for your database". Developers store database changes in text-based files on their local development machines and apply them to their local databases. Changelog files can be be arbitrarily nested for better management. On the other hand, PostGIS is detailed as "Open source spatial database". PostGIS is a spatial database extender for PostgreSQL object-relational database. It adds support for geographic objects allowing location queries to be run in SQL.
Liquibase and PostGIS can be categorized as "Database" tools.
Some of the features offered by Liquibase are:
- Supports code branching and merging
- Supports multiple developers
- Supports multiple database types
On the other hand, PostGIS provides the following key features:
- Processing and analytic functions for both vector and raster data for splicing, dicing, morphing, reclassifying, and collecting/unioning with the power of SQL
- raster map algebra for fine-grained raster processing
- Spatial reprojection SQL callable functions for both vector and raster data
"Great database tool" is the primary reason why developers consider Liquibase over the competitors, whereas "De facto GIS in SQL" was stated as the key factor in picking PostGIS.
Liquibase and PostGIS are both open source tools. It seems that Liquibase with 1.78K GitHub stars and 1.08K forks on GitHub has more adoption than PostGIS with 636 GitHub stars and 242 GitHub forks.
HotelTonight, Key Location, and DNT are some of the popular companies that use PostGIS, whereas Liquibase is used by Orbitz, Viadeo, and Virgin Pulse. PostGIS has a broader approval, being mentioned in 53 company stacks & 14 developers stacks; compared to Liquibase, which is listed in 15 company stacks and 12 developer stacks.
What is Liquibase?
What is PostGIS?
Want advice about which of these to choose?Ask the StackShare community!
What are the cons of using PostGIS?
What tools integrate with Liquibase?
PostGIS makes it easy (and fast) to do geographic queries, such as nearest-neighbor and bounding box queries.
Backend for weather forecast data that Geoserver queries to build updated weather maps