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  1. Stackups
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  3. Databases
  4. Databases
  5. Dolt vs SQLite

Dolt vs SQLite

OverviewComparisonAlternatives

Overview

SQLite
SQLite
Stacks19.9K
Followers15.2K
Votes535
Dolt
Dolt
Stacks6
Followers17
Votes0

Dolt vs SQLite: What are the differences?

Dolt and SQLite are both popular database management systems with their own unique features and use cases. Understanding the key differences between these two systems can help you make an informed decision when choosing a database solution for your project.

1. **Data Storage**:
Dolt is a SQL database that combines the benefits of Git, allowing for easy version control and collaboration on data sets. On the other hand, SQLite stores the entire database in a single disk file, making it ideal for applications that require a standalone database.

2. **Collaboration**:
Dolt supports collaborative work on data sets by enabling multiple users to clone and push changes to a shared data repository. In contrast, SQLite is primarily designed for single-user applications and lacks built-in support for collaborative work on data.

3. **Version Control**:
Dolt offers powerful version control features, allowing users to track changes to data sets over time and easily revert back to previous versions. SQLite, on the other hand, does not natively support version control and requires manual intervention to manage changes to the database.

4. **Branching and Merging**:
Dolt allows users to create branches, merge changes, and resolve conflicts similar to version control systems like Git. This makes it easier to work on experimental features or parallel changes to the data. SQLite lacks built-in support for branching and merging, limiting its capabilities in managing parallel development efforts.

5. **Query Language Support**:
Dolt supports a wide range of SQL queries and data manipulation operations, making it suitable for complex data analysis and reporting tasks. SQLite also supports SQL queries but may have limitations compared to Dolt in terms of advanced querying capabilities and performance optimizations.

6. **Scalability**:
Dolt is designed to scale horizontally by allowing users to distribute data across multiple Dolt instances and sync changes between them. SQLite, on the other hand, may face scalability challenges when dealing with large datasets or high concurrency, as it is primarily designed for small to medium-sized applications.

In Summary, Dolt and SQLite offer unique features and capabilities, such as version control, collaboration, and scalability, that cater to different use cases and requirements in database management.

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Detailed Comparison

SQLite
SQLite
Dolt
Dolt

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.

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
Stacks
19.9K
Stacks
6
Followers
15.2K
Followers
17
Votes
535
Votes
0
Pros & Cons
Pros
  • 163
    Lightweight
  • 135
    Portable
  • 122
    Simple
  • 81
    Sql
  • 29
    Preinstalled on iOS and Android
Cons
  • 2
    Not for multi-process of multithreaded apps
  • 1
    Needs different binaries for each platform
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 SQLite, 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.

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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