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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.
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.
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.
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.
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.
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.
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.
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
I think your best and cheapest choice is going to be MongoDB, Although Postgres is probably going to be the more scaleable approach, you likely have a good idea of how you want to present your data, and the app seems small enough that you shouldn't need to worry about scaling issues. It also sounds like your app can grow in a linear capacity based on the number of users, and the amount of data, which is the perfect use-case for noSQL databases (linear, predictable scaling).
Correct me if I have any of these assumptions wrong. 1. You're looking to have a relatively high-read with a lower write volume 2. Your app is essentially a list of objects that can belong to a category 3. users can create objects in this list.
I think Mongo is going to be what you're looking for on the following basis: 1. you absolutely need a database that is shared by all users of your app, therefor IndexedDB is out of the question. 2. You have semi-structured data 3. you probably want the cheapest solution.
I think Postgres is wrong for the following reasons: 1. your app is pretty simple in concept, SQL databases will add unnecessary complexity to your system, either through ORMs or SQL queries. (use an ORM if you go with SQL) 2. Hosting SQL databases for production is not cheap! the cheapest solution I know of for Postgres is ElephantSQL. It provides 20MB for free with 5 concurrent connections, you should be okay to manage these limitations if you decide to go Postgres in the end. Whereas mongoDB Atlas has some great free-tier options.
Although your data might be easier to model in Postgres, you can certainly model your data as a single list of items that have a category attached.
I don't want to officially recommend another tool, but you should really checkout prisma, firebase, amplify, or Azure App Services for this app! Just go completely backend-less [Firebase] https://firebase.google.com/ [Amplify] https://aws.amazon.com/amplify/ [Prisma] https://www.prisma.io/ [Azure App Services] https://azure.microsoft.com/en-us/services/app-service/?v=18.51
Pros of IndexedDB
Pros of Pouchdb
- Offline cache2
- JSON1
- Very fast1
- Free1
- Repication1
