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  1. Stackups
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  4. Databases
  5. Dolt vs MariaDB

Dolt vs MariaDB

OverviewComparisonAlternatives

Overview

MariaDB
MariaDB
Stacks16.5K
Followers12.8K
Votes468
GitHub Stars6.6K
Forks1.9K
Dolt
Dolt
Stacks6
Followers17
Votes0

Dolt vs MariaDB: What are the differences?

# Introduction:

Dolt and MariaDB are both popular relational database management systems used for storing and managing data. However, there are key differences between the two that set them apart in terms of features and functionality.

1. **Version Control**:
   Dolt comes with built-in version control, allowing users to track changes made to the database and easily revert back to previous versions. This feature is not available in MariaDB without the use of third-party tools.

2. **Distributed Nature**:
   Dolt is a distributed database system, meaning that data can be stored and accessed across multiple nodes or servers. MariaDB, on the other hand, is a centralized database system and may require additional setup to achieve distribution of data.

3. **Data Collaboration**:
   Dolt enables data collaboration by allowing multiple users to work on the same dataset simultaneously, making it easier to collaborate on projects. MariaDB lacks native support for real-time collaboration features.

4. **Data Branching**:
   Dolt allows for data branching, similar to branching in version control systems like Git, enabling users to work on different versions of the same dataset concurrently. MariaDB does not have this feature built-in.

5. **SQL With Git**:
   Dolt offers the ability to use SQL with Git-style versioning, providing a familiar interface for developers who are already comfortable with Git. MariaDB uses traditional SQL querying methods without Git integration.

6. **Immutable Tables**:
   Dolt supports immutable tables, ensuring that once data is committed, it cannot be altered or deleted, providing a high level of data integrity. MariaDB does not have built-in support for immutable tables.

In Summary, Dolt offers built-in version control, a distributed nature, data collaboration, data branching, SQL with Git integration, and immutable tables, setting it apart from MariaDB in terms of functionality and features.

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Detailed Comparison

MariaDB
MariaDB
Dolt
Dolt

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.

Dolt is a SQL database with Git-like version control features. Instead of versioning files, Dolt versions tables and provides a SQL query interface over those tables. The underlying storage is a commit graph, and it is exposed in SQL.

Replication;Insert Delayed;Events;Dynamic;Columns;Full-text;Search;GIS;Locale;Settings;subqueries;Timezones;Triggers;XML;Functions;Views;SSL;Show Profile
SQL query interface; Git-like version control; version controlled database
Statistics
GitHub Stars
6.6K
GitHub Stars
-
GitHub Forks
1.9K
GitHub Forks
-
Stacks
16.5K
Stacks
6
Followers
12.8K
Followers
17
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
MySQL
MySQL
Python
Python
Linux
Linux
Windows
Windows
Mac OS X
Mac OS X

What are some alternatives to MariaDB, Dolt?

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.

ArangoDB

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

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.

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