Need advice about which tool to choose?Ask the StackShare community!
MariaDB vs MonetDB: What are the differences?
### Introduction
MariaDB and MonetDB are both popular open-source relational databases, but they have key differences that set them apart from each other.
1. **Storage Engine**: MariaDB uses the InnoDB storage engine by default, which is known for its reliability and performance optimization for transaction processing. On the other hand, MonetDB has its own proprietary storage engine called MonetDB/X100, which is tailored for analytical processing with speed and efficiency in mind. This difference in storage engines impacts the overall performance and capabilities of each database in specific use cases.
2. **Data Processing Approach**: MariaDB follows the traditional row-based data storage and processing approach, where data is stored and retrieved in rows. In contrast, MonetDB utilizes a column-based storage and processing method, where data is stored and processed by columns rather than by rows. This columnar approach in MonetDB provides faster query performance and better compression rates for analytical workloads.
3. **ACID Compliance**: MariaDB is fully ACID (Atomicity, Consistency, Isolation, Durability) compliant, ensuring data integrity and reliability in transactional operations. MonetDB, on the other hand, prioritizes performance over strict ACID compliance, offering eventual consistency with a focus on high-speed data retrieval and processing. This difference in ACID compliance levels makes each database suitable for different types of applications and use cases.
4. **Language Support**: MariaDB is compatible with standard SQL and supports various programming languages like PHP, Java, and Python for application development. In contrast, MonetDB leverages its own SQL-compliant query language called MQL (MonetDB Query Language), which is optimized for analytics and complex data processing tasks. This language specificity in MonetDB may require users to adapt to its unique syntax for querying and interacting with the database.
5. **Community and Support**: MariaDB has a large and active community of developers, contributors, and users that provide extensive support, documentation, and resources for users at all levels. MonetDB also has a community backing, but it is comparatively smaller and may offer more niche-specific help and resources due to its focus on analytics and research applications. The level of community support and available resources may influence the ease of use and adoption of each database in different scenarios.
6. **Use Case Scenarios**: MariaDB is well-suited for general-purpose relational database applications, ranging from small to enterprise-level systems that require transactional consistency and robust features. On the other hand, MonetDB excels in analytical workloads, data warehousing, and research environments where speed, scalability, and efficient data processing are crucial. Understanding the specific use case requirements can help in deciding the most suitable database solution for a given project or application.
In Summary, MariaDB and MonetDB differ in their storage engines, data processing approaches, ACID compliance, language support, community and support, and use case scenarios, making each database cater to distinct needs and preferences in terms of performance, functionality, and application requirements.
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.
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.
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!
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.
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.
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 MonetDB
- High Performance2