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  1. Stackups
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  4. Databases
  5. ArangoDB vs MariaDB

ArangoDB vs MariaDB

OverviewDecisionsComparisonAlternatives

Overview

ArangoDB
ArangoDB
Stacks273
Followers442
Votes192
MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K

ArangoDB vs MariaDB: What are the differences?

Introduction

ArangoDB and MariaDB are both popular database management systems that offer unique features and functionalities.

1. Query Language:

ArangoDB uses a multi-model query language, AQL, which allows users to seamlessly work with document, graph, and key-value data models within a single query. In contrast, MariaDB primarily uses SQL for querying relational data, requiring separate queries for different data models.

2. Data Models:

ArangoDB supports multiple data models, including documents, graphs, and key-value pairs, providing more flexibility for diverse use cases. On the other hand, MariaDB is primarily focused on supporting relational data models, limiting its versatility compared to ArangoDB.

3. Indexing:

ArangoDB offers automatic indexing on all attributes by default, optimizing query performance without manual intervention. In comparison, MariaDB requires manual indexing to enhance query execution speeds, making it more labor-intensive for database administrators.

4. Replication:

ArangoDB includes built-in sharding and replication capabilities, allowing for easy horizontal scaling and high availability setups. In contrast, MariaDB requires additional tools and configurations for sharding and replication, making it less straightforward for scaling and ensuring data redundancy.

5. Licensing:

ArangoDB is open-source and comes with a community edition that is free to use, making it a cost-effective option for businesses of all sizes. Conversely, MariaDB offers both community and enterprise editions, requiring a licensing fee for enterprise features, which can be a limiting factor for budget-conscious organizations.

6. Ease of Use:

ArangoDB's user-friendly interface and comprehensive documentation make it easier for developers to get started and maintain databases efficiently. While MariaDB is known for its robust features, it may have a steeper learning curve for users unfamiliar with relational databases, potentially impacting usability for beginners.

In Summary, ArangoDB and MariaDB differ in query language, data models, indexing, replication, licensing, and ease of use, offering unique advantages and considerations for various database management needs.

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Advice on ArangoDB, MariaDB

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
Omran
Omran

CTO & Co-founder at Bonton Connect

Jun 19, 2020

Needs advice

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)

582k views582k
Comments
gitgkk
gitgkk

Oct 19, 2021

Needs adviceonTinyMCETinyMCEJSONJSONArangoDBArangoDB

Hello All, I'm building an app that will enable users to create documents using ckeditor or TinyMCE editor. The data is then stored in a database and retrieved to display to the user, these docs can contain image data also. The number of pages generated for a single document can go up to 1000. Therefore by design, each page is stored in a separate JSON. I'm wondering which database is the right one to choose between ArangoDB and PostgreSQL. Your thoughts, advice please. Thanks, Kashyap

64.3k views64.3k
Comments

Detailed Comparison

ArangoDB
ArangoDB
MariaDB
MariaDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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.

multi-model nosql db; acid; transactions; javascript; database; nosql; sharding; replication; query language; joins; aql; documents; graphs; key-values; graphdb
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
Statistics
GitHub Stars
-
GitHub Stars
6.6K
GitHub Forks
-
GitHub Forks
1.9K
Stacks
273
Stacks
16.5K
Followers
442
Followers
12.8K
Votes
192
Votes
468
Pros & Cons
Pros
  • 37
    Grahps and documents in one DB
  • 26
    Intuitive and rich query language
  • 25
    Open source
  • 25
    Good documentation
  • 21
    Joins for collections
Cons
  • 3
    Web ui has still room for improvement
  • 2
    No support for blueprints standard, using custom AQL
Pros
  • 149
    Drop-in mysql replacement
  • 100
    Great performance
  • 74
    Open source
  • 55
    Free
  • 44
    Easy setup

What are some alternatives to ArangoDB, 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.

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.

InfluxDB

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.

CouchDB

CouchDB

Apache CouchDB is a database that uses JSON for documents, JavaScript for MapReduce indexes, and regular HTTP for its API. CouchDB is a database that completely embraces the web. Store your data with JSON documents. Access your documents and query your indexes with your web browser, via HTTP. Index, combine, and transform your documents with JavaScript.

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