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  1. Stackups
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  4. Databases
  5. Dolt vs MySQL

Dolt vs MySQL

OverviewComparisonAlternatives

Overview

MySQL
MySQL
Stacks129.6K
Followers108.6K
Votes3.8K
GitHub Stars11.8K
Forks4.1K
Dolt
Dolt
Stacks6
Followers17
Votes0

Dolt vs MySQL: What are the differences?

**Key Differences between Dolt and MySQL**

1. **Version Control**: Dolt is a version-controlled database, where every change is automatically versioned, allowing users to track changes easily. MySQL, on the other hand, does not have built-in version control capabilities, requiring users to rely on external tools for version tracking.

2. **Data Sharing**: Dolt allows for easy sharing of databases by simply pushing changes to a remote repository, similar to Git. MySQL, on the other hand, does not provide built-in mechanisms for smooth data sharing, making collaboration more challenging.

3. **Data Integrity**: Dolt ensures data integrity through the versioning system, allowing users to easily roll back to a previous state if needed. MySQL, while offering various constraints for data integrity, does not have built-in versioning capabilities, making rollbacks more complex and manual.

4. **Query Language**: While both Dolt and MySQL support SQL for querying databases, Dolt additionally supports a versioned SQL extension that allows users to query data at different points in time. MySQL does not have this feature, limiting its capabilities in terms of temporal queries.

5. **Performance**: MySQL is widely known for its strong performance in traditional database operations, especially in handling large datasets. Dolt, on the other hand, may experience some performance trade-offs due to the additional versioning overhead, especially in scenarios where frequent data changes occur.

6. **Database Size**: Dolt databases tend to be larger in size compared to MySQL databases due to the nature of versioning and storing historical data. This difference in database size can impact storage requirements and performance, especially in scenarios where storage capacity is a concern.

**In Summary, Dolt offers built-in version control and data sharing capabilities, while MySQL focuses on performance and traditional database operations.** 

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Detailed Comparison

MySQL
MySQL
Dolt
Dolt

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.

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.

-
SQL query interface; Git-like version control; version controlled database
Statistics
GitHub Stars
11.8K
GitHub Stars
-
GitHub Forks
4.1K
GitHub Forks
-
Stacks
129.6K
Stacks
6
Followers
108.6K
Followers
17
Votes
3.8K
Votes
0
Pros & Cons
Pros
  • 800
    Sql
  • 679
    Free
  • 562
    Easy
  • 528
    Widely used
  • 490
    Open source
Cons
  • 16
    Owned by a company with their own agenda
  • 3
    Can't roll back schema changes
No community feedback yet
Integrations
No integrations available
Python
Python
Linux
Linux
Windows
Windows
Mac OS X
Mac OS X

What are some alternatives to MySQL, 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.

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.

MariaDB

MariaDB

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.

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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