StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. LiteDB vs RxDB vs WatermelonDB

LiteDB vs RxDB vs WatermelonDB

OverviewComparisonAlternatives

Overview

RxDB
RxDB
Stacks59
Followers179
Votes63
GitHub Stars22.8K
Forks1.1K
LiteDB
LiteDB
Stacks48
Followers187
Votes24
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

LiteDB vs RxDB vs WatermelonDB: What are the differences?

Introduction

LiteDB, RxDB, and WatermelonDB are three popular database tools that can be used in website development. Each of these tools has its own unique features and advantages, which make them suitable for different use cases. In the following paragraphs, we will explore the key differences between LiteDB, RxDB, and WatermelonDB.

  1. Data Model and Query Language: LiteDB uses a document model and utilizes LINQ (Language-Integrated Query) for querying and filtering data. It stores data as JSON documents in a single file format. On the other hand, RxDB is based on the NoSQL concept and follows the document-store model. It uses a schema-less JSON-based query language for data manipulation. WatermelonDB, however, follows a relational data model, allowing developers to define schemas using classes and tables, and perform SQL-like queries.

  2. Real-time Database Sync: RxDB and WatermelonDB both provide real-time database synchronization capabilities by leveraging the Observer pattern. This allows developers to track data changes in real-time and update the user interface accordingly. LiteDB, on the other hand, does not provide native support for real-time synchronization. However, it can be combined with other libraries or frameworks to achieve similar functionality.

  3. Offline Support and Data Synchronization: WatermelonDB is specifically designed to work offline-first, enabling seamless data synchronization between the client and server when online. It offers an efficient synchronization mechanism that optimizes network usage. RxDB also supports offline-first architecture but requires manual handling of data synchronization. LiteDB, on the other hand, does not natively support offline data synchronization, making it more suitable for online-only applications.

  4. Platform and Language Support: LiteDB is primarily built for .NET platforms and supports languages such as C# and F#. RxDB is built for JavaScript and can be used with frameworks like React Native and Cordova. WatermelonDB is also built for JavaScript and is particularly designed for React and React Native applications, providing an optimized experience for these frameworks.

  5. Performance and Scalability: LiteDB is known for its lightweight nature and resource efficiency, making it suitable for small to medium-sized applications. RxDB and WatermelonDB, on the other hand, are built for scalability and can handle larger datasets and more complex queries. They both offer features like query optimization, indexing, and caching to improve performance.

  6. Community and Ecosystem: RxDB and WatermelonDB have active and growing communities that contribute to their development and provide support to developers. They both have extensive documentation, tutorials, and a wide range of third-party resources available. LiteDB also has a supportive community, but it may not have the same level of resources and community support as RxDB and WatermelonDB.

In summary, LiteDB, RxDB, and WatermelonDB differ in their data model and query language, support for real-time synchronization, offline support, platform and language support, performance, scalability, and community involvement. Developers should consider these differences when choosing a database tool based on their specific project requirements and constraints.

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)
or
Manual

Detailed Comparison

RxDB
RxDB
LiteDB
LiteDB
WatermelonDB
WatermelonDB

💻 📱 Reactive, serverless, client-side, offline-first database in javascript. Client-Side Database for Browsers, NodeJS, electron, cordova, react-native and every other javascript-runtime.

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

WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

-
Standalone database; Fast and lightweight; Free for everyone, including commercial use
-
Statistics
GitHub Stars
22.8K
GitHub Stars
-
GitHub Stars
11.3K
GitHub Forks
1.1K
GitHub Forks
-
GitHub Forks
626
Stacks
59
Stacks
48
Stacks
12
Followers
179
Followers
187
Followers
123
Votes
63
Votes
24
Votes
1
Pros & Cons
Pros
  • 15
    Good documentation
  • 13
    Subscription to queries
  • 11
    Example projects
  • 10
    Works
  • 10
    Typescript support
Cons
  • 4
    Bulk operation for updates and other operation
Pros
  • 6
    No Sql
  • 5
    Portable
  • 4
    Easy to use
  • 3
    Document oriented storage
  • 2
    Open Source
Cons
  • 2
    Online documentation needs improvement
  • 2
    Needs more real world examples
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
Pouchdb
Pouchdb
CouchDB
CouchDB
Cloudant
Cloudant
React
React
Angular
Angular
Ionic
Ionic
Vue.js
Vue.js
.NET
.NET
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to RxDB, LiteDB, WatermelonDB?

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase