MariaDB vs Vitess

Overview

MariaDB

Stacks16.5K

Followers12.8K

Votes468

GitHub Stars6.6K

Forks1.9K

Vitess

Stacks66

Followers166

Votes0

MariaDB vs Vitess: What are the differences?

Data Modeling: MariaDB is a relational database management system that follows a traditional relational data modeling approach, allowing users to define schemas with tables, columns, and relationships between them. On the other hand, Vitess is a sharding middleware for MySQL that abstracts the underlying sharding infrastructure, making it transparent to application developers. This means that Vitess does not strictly adhere to traditional relational data modeling principles and instead focuses on distributing data across shards for scalability.
Query Language Support: MariaDB supports SQL as the query language for interacting with the database, providing a rich set of features and functionalities for handling complex queries. In contrast, Vitess is designed to work seamlessly with MySQL and supports the MySQL protocol, syntax, and functions. This compatibility with MySQL allows Vitess to integrate easily with existing MySQL applications without requiring significant changes to the query language used.
Scaling Capabilities: MariaDB offers built-in support for sharding and replication to scale horizontally and distribute data across multiple nodes for high availability and performance. Vitess, on the other hand, is specifically built for horizontal scaling of MySQL databases by distributing data across shards and providing tools for managing large-scale deployments. Vitess simplifies the process of scaling MySQL databases by handling sharding and replication transparently, allowing for seamless scalability.
Deployment and Management: MariaDB can be deployed on-premises, in the cloud, or in a hybrid environment, offering flexibility in choosing deployment options based on specific requirements. In contrast, Vitess is typically deployed in containerized environments such as Kubernetes, leveraging the orchestration capabilities for managing and scaling MySQL databases effectively. The focus on containerized deployments makes Vitess well-suited for cloud-native architectures and microservices-based applications.
High Availability: MariaDB provides high availability features such as multi-master replication, automatic failover, and online schema changes to ensure continuous operation and minimal downtime. Vitess also offers built-in support for high availability through features like automated reparenting, health checking, and topology service integration. By managing failover and recovery processes effectively, Vitess enhances the reliability and availability of MySQL databases in a distributed environment.
Community and Support: MariaDB has a strong community of developers and contributors that actively maintain and extend the database system, offering comprehensive documentation, forums, and support resources for users. Vitess is an open-source project supported by a dedicated team at PlanetScale, providing regular updates, bug fixes, and new features to enhance the scalability and performance of MySQL databases. The community around Vitess is growing, with a focus on improving the sharding capabilities and integrations with cloud-native technologies.

In Summary, MariaDB and Vitess differ in their approach to data modeling, query language support, scaling capabilities, deployment and management, high availability features, and community support.

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, Vitess

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	Vitess
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.	It is a database solution for deploying, scaling and managing large clusters of MySQL instances. It’s architected to run as effectively in a public or private cloud architecture as it does on dedicated hardware. It combines and extends many important MySQL features with the scalability of a NoSQL database.
Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile	Scalability; Connection pooling; Manageability
Statistics
GitHub Stars 6.6K	GitHub Stars -
GitHub Forks 1.9K	GitHub Forks -
Stacks 16.5K	Stacks 66
Followers 12.8K	Followers 166
Votes 468	Votes 0
Pros & Cons
Pros 149 Drop-in mysql replacement 100 Great performance 74 Open source 55 Free 44 Easy setup	No community feedback yet
Integrations
No integrations available	Amazon RDS Kubernetes MySQL

What are some alternatives to MariaDB, Vitess?

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 Vitess: What are the differences?

Data Modeling: MariaDB is a relational database management system that follows a traditional relational data modeling approach, allowing users to define schemas with tables, columns, and relationships between them. On the other hand, Vitess is a sharding middleware for MySQL that abstracts the underlying sharding infrastructure, making it transparent to application developers. This means that Vitess does not strictly adhere to traditional relational data modeling principles and instead focuses on distributing data across shards for scalability.
Query Language Support: MariaDB supports SQL as the query language for interacting with the database, providing a rich set of features and functionalities for handling complex queries. In contrast, Vitess is designed to work seamlessly with MySQL and supports the MySQL protocol, syntax, and functions. This compatibility with MySQL allows Vitess to integrate easily with existing MySQL applications without requiring significant changes to the query language used.
Scaling Capabilities: MariaDB offers built-in support for sharding and replication to scale horizontally and distribute data across multiple nodes for high availability and performance. Vitess, on the other hand, is specifically built for horizontal scaling of MySQL databases by distributing data across shards and providing tools for managing large-scale deployments. Vitess simplifies the process of scaling MySQL databases by handling sharding and replication transparently, allowing for seamless scalability.
Deployment and Management: MariaDB can be deployed on-premises, in the cloud, or in a hybrid environment, offering flexibility in choosing deployment options based on specific requirements. In contrast, Vitess is typically deployed in containerized environments such as Kubernetes, leveraging the orchestration capabilities for managing and scaling MySQL databases effectively. The focus on containerized deployments makes Vitess well-suited for cloud-native architectures and microservices-based applications.
High Availability: MariaDB provides high availability features such as multi-master replication, automatic failover, and online schema changes to ensure continuous operation and minimal downtime. Vitess also offers built-in support for high availability through features like automated reparenting, health checking, and topology service integration. By managing failover and recovery processes effectively, Vitess enhances the reliability and availability of MySQL databases in a distributed environment.
Community and Support: MariaDB has a strong community of developers and contributors that actively maintain and extend the database system, offering comprehensive documentation, forums, and support resources for users. Vitess is an open-source project supported by a dedicated team at PlanetScale, providing regular updates, bug fixes, and new features to enhance the scalability and performance of MySQL databases. The community around Vitess is growing, with a focus on improving the sharding capabilities and integrations with cloud-native technologies.

In Summary, MariaDB and Vitess differ in their approach to data modeling, query language support, scaling capabilities, deployment and management, high availability features, and community support.

MariaDB vs Vitess

Overview