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  1. Stackups
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  3. Databases
  4. Databases
  5. LiteDB vs rqlite

LiteDB vs rqlite

OverviewComparisonAlternatives

Overview

LiteDB
LiteDB
Stacks48
Followers187
Votes24
rqlite
rqlite
Stacks9
Followers38
Votes1
GitHub Stars17.1K
Forks754

LiteDB vs rqlite: What are the differences?

### Introduction
LiteDB and rqlite are both lightweight, embeddable databases that are focused on simplicity and efficiency. Despite sharing some similarities, these databases have key differences that set them apart in terms of features and use cases.

1. **Storage Mechanism**: LiteDB stores data in a single file format, making it easy to manage and deploy in various environments. On the other hand, rqlite uses a distributed architecture with data stored across multiple nodes, providing fault tolerance and scalability for large-scale applications.

2. **SQL Support**: LiteDB provides a simplified query language that is easy to use for developers familiar with SQL, offering basic CRUD operations with MongoDB-like syntax. In contrast, rqlite supports full SQL capabilities, allowing for complex queries and transactions that are compatible with existing databases.

3. **Consistency and Availability**: LiteDB prioritizes consistency over availability, ensuring that all operations are reliably executed in a single instance. Rqlite, on the other hand, focuses on high availability by distributing data across nodes and using a consensus algorithm to maintain consistency in the face of node failures.

4. **Performance**: LiteDB is optimized for single-instance, low-latency operations, making it suitable for applications with smaller datasets and lower throughput requirements. Rqlite is designed for distributed computing, offering higher performance and scalability for applications that require concurrent access to large volumes of data.

5. **Community and Ecosystem**: LiteDB has a smaller but active community of users and contributors, with a focus on lightweight applications and embedded systems. Rqlite has a larger community and ecosystem, with support for additional features such as replication, sharding, and monitoring tools for managing distributed deployments.

6. **Deployment Flexibility**: LiteDB is ideal for applications that need a simple, self-contained database solution that can be easily embedded within an application without additional dependencies. In contrast, rqlite is more suitable for distributed applications that require high availability, fault tolerance, and scalability across multiple nodes.

In Summary, LiteDB and rqlite differ in terms of storage mechanism, SQL support, consistency and availability, performance, community and ecosystem, and deployment flexibility.

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Detailed Comparison

LiteDB
LiteDB
rqlite
rqlite

Embedded NoSQL database for .NET. An open source MongoDB-like database with zero configuration - mobile ready

rqlite is a distributed relational database, which uses SQLite as its storage engine. rqlite uses Raft to achieve consensus across all the instances of the SQLite databases, ensuring that every change made to the system is made to a quorum of SQLite databases, or none at all.

Standalone database; Fast and lightweight; Free for everyone, including commercial use
-
Statistics
GitHub Stars
-
GitHub Stars
17.1K
GitHub Forks
-
GitHub Forks
754
Stacks
48
Stacks
9
Followers
187
Followers
38
Votes
24
Votes
1
Pros & Cons
Pros
  • 6
    No Sql
  • 5
    Portable
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Bring up or extend a database very quickly
Cons
  • 2
    Needs more real world examples
  • 2
    Online documentation needs improvement
Pros
  • 1
    So easy
Integrations
.NET
.NET
SQLite
SQLite

What are some alternatives to LiteDB, rqlite?

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.

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.

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