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  5. MariaDB vs RabbitMQ

MariaDB vs RabbitMQ

OverviewDecisionsComparisonAlternatives

Overview

RabbitMQ
RabbitMQ
Stacks21.8K
Followers18.9K
Votes558
GitHub Stars13.2K
Forks4.0K
MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K

MariaDB vs RabbitMQ: What are the differences?

Key Differences between MariaDB and RabbitMQ

MariaDB and RabbitMQ are two different technologies used in the field of software development and data management. While MariaDB is a relational database management system, RabbitMQ is a message broker. Here are the key differences between the two:

1. Data Storage vs. Message Broker:

MariaDB is primarily used for data storage and retrieval. It provides the functionality of a traditional relational database, allowing users to store structured data and perform complex queries on it. On the other hand, RabbitMQ is a message broker that facilitates the exchange of messages between distributed systems. It acts as an intermediary, ensuring reliable communication between different components of a software system.

2. Querying vs. Message Routing:

In MariaDB, users can write SQL queries to retrieve specific data from the database. It supports various operations like filtering, sorting, and joining tables to extract the required information. In contrast, RabbitMQ focuses on message routing and delivery. It enables developers to define exchange and routing rules to direct messages to the appropriate destination.

3. Structured Data vs. Communication Patterns:

MariaDB is designed to store structured data in the form of tables with predefined schemas. It enforces data integrity through constraints and allows users to define relationships between different tables. On the other hand, RabbitMQ handles communication patterns between different components of a distributed system. It supports message queuing, publish/subscribe, request/reply, and other patterns.

4. Transactions vs. Asynchronous Messaging:

MariaDB supports database transactions, ensuring data consistency and integrity. It allows for the execution of multiple operations as a single atomic unit, either succeeding completely or failing entirely. In contrast, RabbitMQ focuses on asynchronous messaging, where messages can be sent and received independently of each other. It provides flexibility and scalability, enabling systems to handle high message loads.

5. Data Persistence vs. Message Durability:

MariaDB provides durable data storage, where data is persisted even in the event of system failures. It ensures that data is reliably stored and can be retrieved later. On the other hand, RabbitMQ focuses on message durability, ensuring that messages are not lost in case of system failures. It provides options to persist messages to disk or replicate them across multiple nodes.

6. ACID Compliance vs. Message Reliability:

MariaDB follows the ACID (Atomicity, Consistency, Isolation, Durability) properties, ensuring reliable and consistent transaction processing. It guarantees that database operations are executed in a controlled and predictable manner. RabbitMQ, on the other hand, prioritizes message reliability, ensuring that messages are delivered to the intended recipients even in the face of network or system failures.

In summary, MariaDB is a relational database management system that focuses on data storage, querying, and transaction processing, while RabbitMQ is a message broker that facilitates message routing and reliable communication between distributed systems.

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Advice on RabbitMQ, MariaDB

viradiya
viradiya

Apr 12, 2020

Needs adviceonAngularJSAngularJSASP.NET CoreASP.NET CoreMSSQLMSSQL

We are going to develop a microservices-based application. It consists of AngularJS, ASP.NET Core, and MSSQL.

We have 3 types of microservices. Emailservice, Filemanagementservice, Filevalidationservice

I am a beginner in microservices. But I have read about RabbitMQ, but come to know that there are Redis and Kafka also in the market. So, I want to know which is best.

933k views933k
Comments
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
Meili
Meili

Software engineer at Digital Science

Sep 24, 2020

Needs adviceonZeroMQZeroMQRabbitMQRabbitMQAmazon SQSAmazon SQS

Hi, we are in a ZMQ set up in a push/pull pattern, and we currently start to have more traffic and cases that the service is unavailable or stuck. We want to:

  • Not loose messages in services outages
  • Safely restart service without losing messages (@{ZeroMQ}|tool:1064| seems to need to close the socket in the receiver before restart manually)

Do you have experience with this setup with ZeroMQ? Would you suggest RabbitMQ or Amazon SQS (we are in AWS setup) instead? Something else?

Thank you for your time

500k views500k
Comments

Detailed Comparison

RabbitMQ
RabbitMQ
MariaDB
MariaDB

RabbitMQ gives your applications a common platform to send and receive messages, and your messages a safe place to live until received.

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.

Robust messaging for applications;Easy to use;Runs on all major operating systems;Supports a huge number of developer platforms;Open source and commercially supported
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars
13.2K
GitHub Stars
6.6K
GitHub Forks
4.0K
GitHub Forks
1.9K
Stacks
21.8K
Stacks
16.5K
Followers
18.9K
Followers
12.8K
Votes
558
Votes
468
Pros & Cons
Pros
  • 235
    It's fast and it works with good metrics/monitoring
  • 80
    Ease of configuration
  • 60
    I like the admin interface
  • 52
    Easy to set-up and start with
  • 22
    Durable
Cons
  • 9
    Too complicated cluster/HA config and management
  • 6
    Needs Erlang runtime. Need ops good with Erlang runtime
  • 5
    Configuration must be done first, not by your code
  • 4
    Slow
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup

What are some alternatives to RabbitMQ, MariaDB?

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.

Kafka

Kafka

Kafka is a distributed, partitioned, replicated commit log service. It provides the functionality of a messaging system, but with a unique design.

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.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

Celery

Celery

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well.

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