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  1. Stackups
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  5. IndexedDB vs Pouchdb

IndexedDB vs Pouchdb

OverviewDecisionsComparisonAlternatives

Overview

IndexedDB
IndexedDB
Stacks34
Followers97
Votes0
Pouchdb
Pouchdb
Stacks148
Followers242
Votes6
GitHub Stars17.5K
Forks1.5K

IndexedDB vs Pouchdb: What are the differences?

Introduction:

IndexedDB and PouchDB are both database technologies that provide offline storage capabilities for web applications. However, there are several key differences between these two technologies that developers should be aware of.

  1. Data Synchronization: One of the main differences between IndexedDB and PouchDB is their approach to data synchronization. IndexedDB does not provide built-in synchronization capabilities, meaning that developers need to implement their own synchronization logic if they want to keep the data in multiple instances of an application in sync. On the other hand, PouchDB is designed to seamlessly sync data between the client-side database and a remote database, such as CouchDB or Cloudant.

  2. Platform Support: Another difference between IndexedDB and PouchDB lies in their platform support. IndexedDB is natively supported by modern web browsers, including Chrome, Firefox, and Edge. PouchDB, on the other hand, is built on top of IndexedDB and provides a consistent API across different platforms, including web browsers, Node.js, and mobile devices.

  3. Querying Capabilities: When it comes to querying capabilities, IndexedDB and PouchDB also differ. IndexedDB provides a powerful query language that allows for complex queries using indexes. PouchDB, on the other hand, has a simpler querying mechanism that supports basic queries but lacks the advanced querying capabilities of IndexedDB.

  4. Conflict Resolution: Conflict resolution is another area where IndexedDB and PouchDB differ. In IndexedDB, conflict resolution is left to the developer, requiring them to handle conflicts manually in their application logic. PouchDB, on the other hand, provides automatic conflict resolution by following the principles of CouchDB's conflict resolution mechanism.

  5. Event-Based Architecture: IndexedDB and PouchDB also differ in their event-based architecture. IndexedDB uses events to notify applications of changes in the database, such as the completion of a transaction or changes to the data. PouchDB, on the other hand, provides a powerful event system that allows for real-time updates and synchronization with remote databases.

  6. Offline Workflow: Lastly, IndexedDB and PouchDB have different approaches to handling offline workflows. IndexedDB is primarily designed for offline storage and retrieval of data, but does not have built-in mechanisms for handling offline workflows, such as queuing of requests. PouchDB, on the other hand, is built with offline-first principles in mind and provides features such as automatic queuing of requests and conflict resolution to support robust offline workflows.

In Summary, IndexedDB and PouchDB differ in their data synchronization capabilities, platform support, querying capabilities, conflict resolution mechanisms, event-based architecture, and support for offline workflows.

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Advice on IndexedDB, Pouchdb

Anonymous
Anonymous

May 17, 2020

Needs advice

I'm currently developing an app that ranks trending stuff ( such as games, memes or movies, etc. ) or events in a particular country or region. Here are the specs: My app does not require registration and requires cookies and localStorage to track users. Users can add new entries to each trending category provided that their country of origin is recorded in cookies. If each category contains more than 100 items then the oldest items get deleted. The question is: what kind of database should I use for managing this app? Thanks in advance

574k views574k
Comments

Detailed Comparison

IndexedDB
IndexedDB
Pouchdb
Pouchdb

This API uses indexes to enable high-performance searches of this data. While Web Storage is useful for storing smaller amounts of data, it is less useful for storing larger amounts of structured data.

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.

Stores key-pair values; It is not a relational database; IndexedDB API is mostly asynchronous; It is not a structured query language; It has supported to access the data from same domain.
Cross browser compatibility; Lightweight; Easy to learn; Open source
Statistics
GitHub Stars
-
GitHub Stars
17.5K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
34
Stacks
148
Followers
97
Followers
242
Votes
0
Votes
6
Pros & Cons
No community feedback yet
Pros
  • 2
    Offline cache
  • 1
    Very fast
  • 1
    Free
  • 1
    Repication
  • 1
    JSON
Integrations
MongoDB
MongoDB
Slick
Slick
SQLite
SQLite
Knex.js
Knex.js
MSSQL
MSSQL
No integrations available

What are some alternatives to IndexedDB, 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.

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