MariaDB vs Memcached

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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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

Advice on MariaDB and Memcached
Maxim Ryakhovskiy
Needs advice
on
MariaDBMariaDBMongooseMongoose
and
PostgreSQLPostgreSQL

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.

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Replies (7)

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.

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Reza Malek
at Meam Software Engineering Group · | 4 upvotes · 213.7K views
Recommends
on
MongooseMongoosePostgreSQLPostgreSQL

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!

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Tarun Batra
Senior Software Developer at Okta · | 2 upvotes · 206K views
Recommends
on
MongooseMongoose

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.

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Nutchanon Ninyawee

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.

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Recommends
on
MongooseMongoose

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.

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Ruslan Rayanov
Recommends

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.

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Václav Hodek
CEO, lead developer at Localazy · | 1 upvotes · 206.4K views
Recommends
on
PostgreSQLPostgreSQL

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.

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Decisions about MariaDB and Memcached
Omran Jamal
CTO & Co-founder at Bonton Connect · | 4 upvotes · 518.7K views

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)

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Pros of MariaDB
Pros of Memcached
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup
  • 15
    Easy and fast
  • 14
    Lead developer is "monty" widenius the founder of mysql
  • 6
    Also an aws rds service
  • 4
    Consistent and robust
  • 4
    Learning curve easy
  • 2
    Native JSON Support / Dynamic Columns
  • 1
    Real Multi Threaded queries on a table/db
  • 139
    Fast object cache
  • 129
    High-performance
  • 91
    Stable
  • 65
    Mature
  • 33
    Distributed caching system
  • 11
    Improved response time and throughput
  • 3
    Great for caching HTML
  • 2
    Putta

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Cons of MariaDB
Cons of Memcached
    Be the first to leave a con
    • 2
      Only caches simple types

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    What is MariaDB?

    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.

    What is 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.

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    What are some alternatives to MariaDB and Memcached?
    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.
    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.
    Percona
    It delivers enterprise-class software, support, consulting and managed services for both MySQL and MongoDB across traditional and cloud-based platforms.
    Oracle
    Oracle Database is an RDBMS. An RDBMS that implements object-oriented features such as user-defined types, inheritance, and polymorphism is called an object-relational database management system (ORDBMS). Oracle Database has extended the relational model to an object-relational model, making it possible to store complex business models in a relational database.
    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.
    See all alternatives