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  1. Stackups
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  5. IndexedDB vs RxDB

IndexedDB vs RxDB

OverviewDecisionsComparisonAlternatives

Overview

IndexedDB
IndexedDB
Stacks34
Followers97
Votes0
RxDB
RxDB
Stacks59
Followers179
Votes63
GitHub Stars22.8K
Forks1.1K

IndexedDB vs RxDB: What are the differences?

IndexedDB vs RxDB

IndexedDB and RxDB are both database technologies that can be used in web applications. However, they have several key differences that set them apart.

  1. Data Querying and Manipulation: IndexedDB is a low-level API that allows developers to directly query and manipulate data stored in the database. It provides powerful features like indexes and cursors for efficient data access. On the other hand, RxDB is built on top of IndexedDB and provides a reactive interface for data querying and manipulation. It leverages the power of Observables to provide a more convenient and efficient way of working with data.

  2. Synchronization and Offline Support: IndexedDB does not natively support synchronization or offline support. Developers need to implement their own mechanisms for syncing data between clients or providing offline functionality. RxDB, on the other hand, includes built-in support for data synchronization and offline capabilities. It provides conflict resolution mechanisms and automatic syncing between clients, making it more suitable for applications that require offline functionality.

  3. Event Handling: IndexedDB uses events and callbacks for handling database operations and changes in data. Developers need to manually handle these events to update their application's UI or perform other actions. RxDB, on the other hand, provides a more declarative approach to event handling. It allows developers to use Observables to easily react to changes in data or database operations, simplifying the handling of events.

  4. Schema Management: IndexedDB does not enforce any schema for data stored in the database. This means that the structure and format of the data can vary between different records. RxDB, on the other hand, provides schema management capabilities. Developers can define schemas for their data, specifying the structure and validation rules. RxDB enforces these schemas, ensuring data consistency and allowing for easier data handling.

  5. Language Support: IndexedDB is a web standard API and is supported by most modern browsers. It can be used with JavaScript or any other web programming language. RxDB, on the other hand, is a library built specifically for JavaScript and is not supported natively by all browsers. Developers need to include the RxDB library in their application to use its features.

  6. Community and Ecosystem: IndexedDB has been around for a longer time and has a larger community and ecosystem. There are various tools, libraries, and resources available for working with IndexedDB, making it easier to find support and solutions to common problems. RxDB, on the other hand, is a relatively newer technology and has a smaller community and ecosystem. While it is growing in popularity, the availability of resources and community support may be more limited compared to IndexedDB.

In summary, IndexedDB is a low-level API for data storage and manipulation, while RxDB provides a higher-level and more convenient interface for working with data. RxDB includes built-in support for synchronization and offline capabilities, as well as schema management and declarative event handling. However, it is a JavaScript-specific library and has a smaller community and ecosystem compared to IndexedDB.

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Advice on IndexedDB, RxDB

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

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Detailed Comparison

IndexedDB
IndexedDB
RxDB
RxDB

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.

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

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.
-
Statistics
GitHub Stars
-
GitHub Stars
22.8K
GitHub Forks
-
GitHub Forks
1.1K
Stacks
34
Stacks
59
Followers
97
Followers
179
Votes
0
Votes
63
Pros & Cons
No community feedback yet
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
Integrations
MongoDB
MongoDB
Slick
Slick
SQLite
SQLite
Knex.js
Knex.js
MSSQL
MSSQL
Pouchdb
Pouchdb
CouchDB
CouchDB
Cloudant
Cloudant
React
React
Angular
Angular
Ionic
Ionic
Vue.js
Vue.js

What are some alternatives to IndexedDB, RxDB?

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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