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  1. Stackups
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  3. Databases
  4. Pouchdb vs WatermelonDB

Pouchdb vs WatermelonDB

OverviewComparisonAlternatives

Overview

Pouchdb
Pouchdb
Stacks148
Followers242
Votes6
GitHub Stars17.5K
Forks1.5K
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

Pouchdb vs WatermelonDB: What are the differences?

PouchDB vs WatermelonDB

Introduction

PouchDB and WatermelonDB are both open-source databases designed for use in web and mobile applications. While they share similarities in their functioning, there are some key differences between the two.

  1. Distributed Database Replication PouchDB supports distributed database replication, allowing data to be synchronized between multiple devices or servers. This enables applications to work offline and sync data when an internet connection is available. WatermelonDB, on the other hand, does not have built-in support for distributed database replication.

  2. Query Capabilities PouchDB provides a powerful query API, allowing developers to perform complex queries on their data. It supports querying by key ranges, sorting, filtering, and more. WatermelonDB, however, has a more limited query API with fewer advanced querying capabilities.

  3. Data Sync Performance PouchDB excels in terms of data synchronization performance, especially in scenarios where there are large amounts of data or frequent updates. It utilizes efficient change tracking algorithms to optimize the synchronization process. WatermelonDB, while still performant, may not provide the same level of synchronization speed as PouchDB in certain scenarios.

  4. Integration with Other Libraries PouchDB is designed to work well with other web technologies and libraries, such as Apache Cordova and Electron. It provides seamless integration and compatibility with these frameworks. WatermelonDB, on the other hand, is specifically built for use with React Native, making it an ideal choice for mobile app development using this framework.

  5. Development Community Support PouchDB has a larger and more established development community, with numerous contributors and active maintenance. This translates to better community support, bug fixes, and new feature development. WatermelonDB, although growing, may have a smaller community and fewer resources available for support.

  6. Size and Complexity PouchDB is a lightweight and relatively simple database, making it suitable for small to medium-scale applications. WatermelonDB, on the other hand, is more complex and feature-rich, which can make it a better choice for larger projects with more advanced requirements.

In summary, PouchDB excels in distributed database replication, query capabilities, and data synchronization performance, while WatermelonDB shines in its integration with React Native and its feature-rich nature. The choice between the two ultimately depends on the specific needs and requirements of the application being developed.

Detailed Comparison

Pouchdb
Pouchdb
WatermelonDB
WatermelonDB

PouchDB enables applications to store data locally while offline, then synchronize it with CouchDB and compatible servers when the application is back online, keeping the user's data in sync no matter where they next login.

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.

Cross browser compatibility; Lightweight; Easy to learn; Open source
-
Statistics
GitHub Stars
17.5K
GitHub Stars
11.3K
GitHub Forks
1.5K
GitHub Forks
626
Stacks
148
Stacks
12
Followers
242
Followers
123
Votes
6
Votes
1
Pros & Cons
Pros
  • 2
    Offline cache
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication
  • 1
    JSON
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
No integrations available
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to Pouchdb, 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.

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