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  1. Stackups
  2. Application & Data
  3. Databases
  4. Database Tools
  5. PostGIS vs Spatialite

PostGIS vs Spatialite

OverviewComparisonAlternatives

Overview

PostGIS
PostGIS
Stacks381
Followers377
Votes30
GitHub Stars2.0K
Forks407
Spatialite
Spatialite
Stacks2
Followers3
Votes0

PostGIS vs Spatialite: What are the differences?

  1. Data Storage: One key difference between PostGIS and Spatialite is the method of data storage. PostGIS stores its data in a separate database management system, typically PostgreSQL, which allows for scalability and extensive support for SQL queries. On the other hand, Spatialite stores its data in a single file, making it more suitable for smaller projects or scenarios where a full-fledged database system is not necessary.

  2. Functionality: PostGIS provides a wider range of advanced spatial functions and capabilities compared to Spatialite. This includes support for 3D and 4D geometries, network analysis functions, additional spatial algorithms, and geoprocessing tools. In contrast, Spatialite offers basic spatial functions and is more lightweight in terms of functionality.

  3. Performance: PostGIS is generally known for its better performance and scalability when handling large datasets or complex spatial queries. It is designed to efficiently manage spatial data in high-demand applications or enterprise-level projects. Spatialite, on the other hand, may experience performance limitations when dealing with extensive spatial operations or large datasets due to its file-based storage system.

  4. Compatibility: PostGIS is more commonly used in conjunction with other GIS software and tools, providing seamless integration with various open-source and proprietary applications. Spatialite, although compatible with some GIS software, may not offer the same level of interoperability as PostGIS due to its focus on stand-alone spatial data management.

  5. Community Support: PostGIS benefits from a larger and more active community of users and developers, leading to frequent updates, bug fixes, and a wealth of online resources and documentation. Spatialite, while still maintained and supported, may have a smaller community base, resulting in less extensive support and resources available for users.

  6. Deployment Flexibility: PostGIS is typically preferred for projects that require a centralized and robust spatial database solution with support for high availability and replication. In contrast, Spatialite is often chosen for its portability and ease of deployment in situations where a self-contained spatial database file is sufficient, such as in desktop applications or small-scale projects.

In Summary, the key differences between PostGIS and Spatialite lie in data storage, functionality, performance, compatibility, community support, and deployment flexibility.

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Detailed Comparison

PostGIS
PostGIS
Spatialite
Spatialite

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.

GAIA - Spatial Is Not Special - libraries and tool

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;Support for importing / exporting ESRI shapefile vector data via both commandline and GUI packaged tools and support for more formats via other 3rd-party Open Source tools
-
Statistics
GitHub Stars
2.0K
GitHub Stars
-
GitHub Forks
407
GitHub Forks
-
Stacks
381
Stacks
2
Followers
377
Followers
3
Votes
30
Votes
0
Pros & Cons
Pros
  • 25
    De facto GIS in SQL
  • 5
    Good Documentation
No community feedback yet
Integrations
PostgreSQL
PostgreSQL
No integrations available

What are some alternatives to PostGIS, Spatialite?

dbForge Studio for MySQL

dbForge Studio for MySQL

It is the universal MySQL and MariaDB client for database management, administration and development. With the help of this intelligent MySQL client the work with data and code has become easier and more convenient. This tool provides utilities to compare, synchronize, and backup MySQL databases with scheduling, and gives possibility to analyze and report MySQL tables data.

dbForge Studio for Oracle

dbForge Studio for Oracle

It is a powerful integrated development environment (IDE) which helps Oracle SQL developers to increase PL/SQL coding speed, provides versatile data editing tools for managing in-database and external data.

dbForge Studio for PostgreSQL

dbForge Studio for PostgreSQL

It is a GUI tool for database development and management. The IDE for PostgreSQL allows users to create, develop, and execute queries, edit and adjust the code to their requirements in a convenient and user-friendly interface.

dbForge Studio for SQL Server

dbForge Studio for SQL Server

It is a powerful IDE for SQL Server management, administration, development, data reporting and analysis. The tool will help SQL developers to manage databases, version-control database changes in popular source control systems, speed up routine tasks, as well, as to make complex database changes.

Liquibase

Liquibase

Liquibase is th leading open-source tool for database schema change management. Liquibase helps teams track, version, and deploy database schema and logic changes so they can automate their database code process with their app code process.

Sequel Pro

Sequel Pro

Sequel Pro is a fast, easy-to-use Mac database management application for working with MySQL databases.

DBeaver

DBeaver

It is a free multi-platform database tool for developers, SQL programmers, database administrators and analysts. Supports all popular databases: MySQL, PostgreSQL, SQLite, Oracle, DB2, SQL Server, Sybase, Teradata, MongoDB, Cassandra, Redis, etc.

dbForge SQL Complete

dbForge SQL Complete

It is an IntelliSense add-in for SQL Server Management Studio, designed to provide the fastest T-SQL query typing ever possible.

Knex.js

Knex.js

Knex.js is a "batteries included" SQL query builder for Postgres, MySQL, MariaDB, SQLite3, and Oracle designed to be flexible, portable, and fun to use. It features both traditional node style callbacks as well as a promise interface for cleaner async flow control, a stream interface, full featured query and schema builders, transaction support (with savepoints), connection pooling and standardized responses between different query clients and dialects.

Flyway

Flyway

It lets you regain control of your database migrations with pleasure and plain sql. Solves only one problem and solves it well. It migrates your database, so you don't have to worry about it anymore.

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