MariaDB vs YugabyteDB

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

YugabyteDB

Stacks50

Followers114

Votes1

GitHub Stars9.9K

Forks1.2K

MariaDB vs YugabyteDB: What are the differences?

Introduction

MariaDB and YugabyteDB are two popular open-source databases that offer different features and functionalities. Here are the key differences between the two:

1. Scalability: MariaDB is a relational database that provides horizontal scalability through its support for clustering, allowing multiple instances of MariaDB to work together. On the other hand, YugabyteDB is a distributed SQL database that natively supports horizontal scalability across multiple nodes without the need for a separate clustering solution.

2. Multi-model Capabilities: MariaDB primarily supports the relational model and provides advanced SQL functionalities. In contrast, YugabyteDB supports the multi-model approach and allows users to store and query data using SQL, NoSQL, and Apache Cassandra Query Language (CQL), offering greater flexibility for developers.

3. Consistency: MariaDB guarantees strong consistency within a cluster, ensuring that all nodes in the cluster have the same view of the data. YugabyteDB, on the other hand, offers tunable consistency levels, allowing users to choose between strong consistency or eventual consistency based on their application requirements.

4. Replication and Fault Tolerance: MariaDB uses a combination of asynchronous and synchronous replication to ensure data redundancy and fault tolerance. Conversely, YugabyteDB provides synchronous replication across multiple regions, ensuring data durability even in the event of failures or disasters.

5. Data Distribution: MariaDB uses built-in sharding to distribute data across multiple nodes, allowing for horizontal scaling. While YugabyteDB also supports sharding, it offers automated data distribution, allowing data to be automatically distributed across nodes without the need for manual configuration.

6. Cloud-Native Features: YugabyteDB has built-in cloud-native features, such as automatic load balancing, rolling upgrades, and seamless integration with containerization platforms like Kubernetes. MariaDB, while it can be used in the cloud, may require additional configuration and tools to fully leverage cloud-native capabilities.

In Summary, MariaDB is a relational database with clustering support, strong consistency, and advanced SQL functionality. YugabyteDB, on the other hand, is a distributed SQL database with native horizontal scalability, multi-model capabilities, tunable consistency, and cloud-native features.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs

CLI (Node.js)

Manual

Advice on MariaDB, YugabyteDB

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

Detailed Comparison

MariaDB	YugabyteDB
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.	An open-source, high-performance, distributed SQL database built for resilience and scale. Re-uses the upper half of PostgreSQL to offer advanced RDBMS features, architected to be fully distributed like Google Spanner.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	Resilience; High Performance; Scalability; Enterprise Grade; Cloud-native; Kubernetes; PostgreSQL-compatible; Geo-Distributed; Hybrid Cloud
Statistics
GitHub Stars 6.6K	GitHub Stars 9.9K
GitHub Forks 1.9K	GitHub Forks 1.2K
Stacks 16.5K	Stacks 50
Followers 12.8K	Followers 114
Votes 468	Votes 1
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	Pros 1 Compatible with the result of pg_dump
Integrations
No integrations available	Golang PHP Java Python Spring Boot Apache Spark Node.js C# Kubernetes Ruby

What are some alternatives to MariaDB, YugabyteDB?

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

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 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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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 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.

ArangoDB

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.

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.

Related Comparisons

MariaDB vs YugabyteDB: What are the differences?

Introduction

MariaDB and YugabyteDB are two popular open-source databases that offer different features and functionalities. Here are the key differences between the two:

MariaDB vs YugabyteDB

Overview