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. Mobile Database
  5. Pouchdb vs Realm

Pouchdb vs Realm

OverviewDecisionsComparisonAlternatives

Overview

Realm
Realm
Stacks279
Followers441
Votes16
Pouchdb
Pouchdb
Stacks148
Followers242
Votes6
GitHub Stars17.5K
Forks1.5K

Pouchdb vs Realm: What are the differences?

Introduction

PouchDB and Realm are both popular NoSQL databases that can be used in web and mobile applications. While they share similarities in terms of being NoSQL databases, there are key differences between the two.

  1. Replication and synchronization capabilities: PouchDB is known for its robust replication and synchronization capabilities. It allows for seamless data replication between a client-side database (such as in a web browser) and a server-side database. Realm, on the other hand, provides automatic synchronization across devices and platforms, making it suitable for real-time collaborative applications.

  2. Offline functionality: PouchDB is designed specifically for offline usage, allowing users to work with data even when there is no internet connection. It supports offline-first development where data is stored locally and then synchronized with the server when a connection becomes available. Realm also supports offline functionality, but it focuses more on real-time synchronization rather than offline-first development.

  3. Query capabilities: PouchDB uses a query language called MapReduce to perform complex queries on the database. The use of MapReduce allows for flexibility in querying and analyzing data. On the other hand, Realm provides a simpler and more intuitive query language that resembles traditional SQL syntax, making it easier for developers to write and understand queries.

  4. Mobile platform compatibility: While both PouchDB and Realm are designed to work on multiple platforms, Realm is particularly well-suited for mobile development. It provides native support for iOS and Android platforms, allowing for optimal performance and seamless integration with mobile applications. PouchDB, on the other hand, is primarily used in web browsers but can also be used in mobile applications through frameworks like Cordova or PhoneGap.

  5. Data model: PouchDB is a document-oriented database that stores data in JSON-like document formats. It allows for flexible schemaless data modeling, making it suitable for projects that require frequent changes to the data structure. Realm, on the other hand, is an object-oriented database that stores data in objects with defined schemas. It enforces a strict schema and provides better type safety, making it suitable for projects that require data consistency and integrity.

  6. Community and ecosystem: PouchDB has a large and active community, with a wide range of plugins and extensions available. It integrates well with popular JavaScript frameworks like Angular and React. Realm, on the other hand, has a smaller community but is backed by MongoDB, which provides strong support and resources for its users. It also has a powerful set of features and tools specifically designed for mobile app development.

In summary, PouchDB and Realm differ in terms of replication and synchronization capabilities, offline functionality, query capabilities, mobile platform compatibility, data model, and community and ecosystem. These differences make them suitable for different use cases and development scenarios.

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

Advice on Realm, Pouchdb

Mike
Mike

Aug 15, 2019

Needs adviceonAndroid SDKAndroid SDKRealmRealmPouchdbPouchdb

We are building an offline-first Android SDK app. The solution we're working on runs on a mobile device in areas where internet connectivity is intermittent or does not exist. The applications needs to be able to collect data and when it reaches a home base or finds internet connectivity, we'll sync it with the host.

We've heard Realm and Pouchdb could be a good solution, but we are curious if anyone has any experience with either or have another path forward.

226k views226k
Comments

Detailed Comparison

Realm
Realm
Pouchdb
Pouchdb

The Realm Mobile Platform is a next-generation data layer for applications. Realm is reactive, concurrent, and lightweight, allowing you to work with live, native objects.

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.

Feels like Home - Realm’s data structures look like the Objects and Arrays of your language, but provide additional features such as: querying, relationships & graphs, thread safety, and more.;Memory-Efficient - Realm is not built on SQLite. Instead, a custom C++ core is used to provide memory-efficient access to your data by using Realm objects, which usually consume less RAM than native objects.;F-F-Fast! - Realm offers extraordinary performance compared to SQLite and other persistence solutions.
Cross browser compatibility; Lightweight; Easy to learn; Open source
Statistics
GitHub Stars
-
GitHub Stars
17.5K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
279
Stacks
148
Followers
441
Followers
242
Votes
16
Votes
6
Pros & Cons
Pros
  • 7
    Good
  • 3
    Cloud Syncing
  • 3
    Elegant API
  • 2
    React Native Support
  • 1
    Strong Adoption Growth
Cons
  • 1
    No offline support for web till now
Pros
  • 2
    Offline cache
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication
  • 1
    JSON

What are some alternatives to Realm, Pouchdb?

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