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MariaDB vs Memcached: What are the differences?
Introduction
In this article, we will explore the key differences between MariaDB and Memcached. Both MariaDB and Memcached are popular open-source database technologies used in web applications. However, they serve different purposes and possess distinct characteristics.
Data Storage and Retrieval: MariaDB is a fully-featured relational database management system (RDBMS) that offers comprehensive support for structured data storage, retrieval, and manipulation. It supports complex queries, transactions, and various data types. On the other hand, Memcached is a high-performance distributed caching system that allows for fast and efficient retrieval of data from memory. It is mainly used for caching frequently-accessed data to improve application performance.
Query Language: MariaDB uses Structured Query Language (SQL) as its primary language for communicating with the database. SQL provides a powerful and standardized way to interact with relational databases. In contrast, Memcached does not support SQL. Instead, it offers a simple key-value interface, allowing developers to store and retrieve data using unique keys.
Data Persistence: MariaDB ensures data persistence, meaning that data is saved to disk and can be recovered in case of system failures or restarts. It offers various storage engines, including InnoDB and MyISAM, each with its own strengths and features. On the other hand, Memcached does not provide native data persistence. It stores data solely in memory and does not save it to disk. As a result, data is lost if the Memcached server restarts or crashes.
Scaling Capabilities: MariaDB is designed to support scaling both vertically and horizontally. It can handle large amounts of data and high concurrent user traffic by utilizing features like replication, sharding, and clustering. Memcached, on the other hand, focuses on horizontal scaling, allowing for the distribution of data across multiple servers. It provides a decentralized caching layer, which can be easily scaled by adding more Memcached nodes to handle increasing data loads.
Concurrency Control: MariaDB employs robust concurrency control mechanisms to ensure data integrity in multi-user environments. It supports various levels of isolation, transaction management, and locking mechanisms to prevent conflicts and data inconsistencies. Memcached, on the other hand, does not provide built-in support for concurrency control. It is designed for simple read and write operations and does not handle complex transactions or locking mechanisms.
Data Analysis and Complexity: MariaDB is well-suited for applications that require complex data analysis, reporting, and business intelligence. It offers features like joins, subqueries, and aggregations, enabling developers to perform complex data manipulations and analysis. On the other hand, Memcached is not intended for data analysis or complex query operations. It is primarily used as a cache layer to improve application performance by reducing database load and speeding up data retrieval.
In summary, MariaDB is a feature-rich RDBMS suitable for storing and managing structured data, supporting complex queries, and providing data persistence, while Memcached is a high-performance caching system designed for fast data retrieval and horizontal scalability, but lacking data persistence and complex query capabilities.
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!
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.
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.
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.
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.
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 Memcached
- Fast object cache139
- High-performance129
- Stable91
- Mature65
- Distributed caching system33
- Improved response time and throughput11
- Great for caching HTML3
- Putta2
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Cons of MariaDB
Cons of Memcached
- Only caches simple types2