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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. MariaDB vs PostGIS

MariaDB vs PostGIS

OverviewDecisionsComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
PostGIS
PostGIS
Stacks381
Followers377
Votes30
GitHub Stars2.0K
Forks407

MariaDB vs PostGIS: What are the differences?

Key Differences between MariaDB and PostGIS

MariaDB and PostGIS are both widely used databases, but they have some key differences that make them suitable for different purposes.

  1. Data Structure: One major difference between MariaDB and PostGIS is their data structure. MariaDB is a relational database that stores data in tables and uses SQL for querying and manipulating the data. On the other hand, PostGIS is an extension for PostgreSQL that adds support for geographic objects, allowing the database to store and query spatial data.

  2. Spatial Capabilities: While MariaDB can store and query spatial data using its spatial data types and functions, PostGIS offers more advanced spatial capabilities. PostGIS provides a wide range of geometry and geography functions that allow for complex spatial analysis, such as distance calculations, intersection operations, and spatial indexing.

  3. Performance: When it comes to performance, MariaDB and PostGIS have different strengths. MariaDB is highly optimized for general-purpose relational data processing, making it fast and efficient for most non-spatial data processing tasks. PostGIS, on the other hand, excels in handling geospatial data and can perform complex spatial queries quickly and efficiently.

  4. Community and Ecosystem: Both MariaDB and PostGIS have strong and active communities, but they have different ecosystems. MariaDB has a large and thriving community with extensive documentation, libraries, and tools available. PostGIS, as an extension of PostgreSQL, benefits from the vast ecosystem of PostgreSQL, which includes a rich set of extensions, tools, and support.

  5. Language Support: Another difference between MariaDB and PostGIS is their language support. MariaDB supports multiple programming languages, including C, C++, Java, Python, and more, making it easier to integrate with various applications. PostGIS, being an extension for PostgreSQL, supports similar programming languages but also offers additional spatial-specific libraries and tools for working with geographic data.

  6. License: MariaDB and PostGIS have different licensing models. MariaDB is released under the GNU General Public License (GPL), which means it is free and open-source software. PostGIS, being an extension for PostgreSQL, follows the same licensing model and is also free and open-source.

In summary, MariaDB is a powerful relational database with some spatial capabilities, while PostGIS is an extension for PostgreSQL that specializes in spatial data processing. MariaDB is more suitable for general-purpose data processing, while PostGIS is designed for handling complex spatial queries and analysis.

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Advice on MariaDB, PostGIS

Maxim
Maxim

student at USI

Aug 25, 2020

Needs adviceonNode.jsNode.jsMongooseMongoosePostgreSQLPostgreSQL

Hi all. I am an informatics student, and I need to realise a simple website for my friend. I am planning to realise the website using Node.js and Mongoose, since I have already done a project using these technologies. I also know SQL, and I have used PostgreSQL and MySQL previously.

The website will show a possible travel destination and local transportation. The database is used to store information about traveling, so only admin will manage the content (especially photos). While clients will see the content uploaded by the admin. I am planning to use Mongoose because it is very simple and efficient for this project. Please give me your opinion about this choice.

321k views321k
Comments
Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

We actually use both Mongo and SQL databases in production. Mongo excels in both speed and developer friendliness when it comes to geospatial data and queries on the geospatial data, but we also like ACID compliance hence most of our other data (except on-site logs) are stored in a SQL Database (MariaDB for now)

582k views582k
Comments

Detailed Comparison

MariaDB
MariaDB
PostGIS
PostGIS

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

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.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
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
6.6K
GitHub Stars
2.0K
GitHub Forks
1.9K
GitHub Forks
407
Stacks
16.5K
Stacks
381
Followers
12.8K
Followers
377
Votes
468
Votes
30
Pros & Cons
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
Pros
  • 25
    De facto GIS in SQL
  • 5
    Good Documentation
Integrations
No integrations available
PostgreSQL
PostgreSQL

What are some alternatives to MariaDB, PostGIS?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

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.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

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.

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