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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.
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.
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.
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.
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.
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.
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.
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.
Your requirements seem nothing special. on the other hand, MongoDB is commonly used with Node. you could use Mongo without defining a Schema, does it give you any benefits? Also, note that development speed matters. In most cases RDBMS are the best choice, Learn and use Postgres for life!
The use case you are describing would benefit from a self-hosted headless CMS like contentful. You can also go for Strapi with a database of your choice but here you would have to host Strapi and the underlying database (if not using SQLite) yourself. If you want to use Strapi, you can ease your work by using something like PlanetSCaleDB as the backing database for Strapi.
SQL is not so good at query lat long out of the box. you might need to use additional tools for that like UTM coordinates or Uber's H3.
If you use mongoDB, it support 2d coordinate query out of the box.
Any database will be a great choice for your app, which is less of a technical challenge and more about great content. Go for it, the geographical search features maybe be actually handy for you.
MongoDB and Mongoose are commonly used with Node.js and the use case doesn't seem to be requiring any special considerations as of now. However using MongoDB now will allow you to easily expand and modify your use case in future.
If not MongoDB, then my second choice will be PostgreSQL. It's a generic purpose database with jsonb support (if you need it) and lots of resources online. Nobody was fired for choosing PostgreSQL.
Any database engine should work well but I vote for Postgres because of PostGIS extension that may be handy for travel related site. There's nothing special about your requirements.
Hi, Maxim! Most likely, the site is almost ready. But we would like to share our development with you. https://falcon.web-automation.ru/ This is a constructor for web application. With it, you can create almost any site with different roles which have different levels of access to information and different functionality. The platform is managed via sql. knowing sql, you will be able to change the business logic as necessary and during further project maintenance. We will be glad to hear your feedback about the platform.
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)
Pros of MariaDB
- Drop-in mysql replacement149
- Great performance100
- Open source74
- Free55
- Easy setup44
- Easy and fast15
- Lead developer is "monty" widenius the founder of mysql14
- Also an aws rds service6
- Consistent and robust4
- Learning curve easy4
- Native JSON Support / Dynamic Columns2
- Real Multi Threaded queries on a table/db1
Pros of PostGIS
- De facto GIS in SQL25
- Good Documentation5
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