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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. Apache Derby vs RxDB

Apache Derby vs RxDB

OverviewComparisonAlternatives

Overview

RxDB
RxDB
Stacks59
Followers179
Votes63
GitHub Stars22.8K
Forks1.1K
Apache Derby
Apache Derby
Stacks103
Followers22
Votes0
GitHub Stars369
Forks141

Apache Derby vs RxDB: What are the differences?

<Apache Derby is a relational database management system written in Java and is developed by the Apache Software Foundation. RxDB is a client-side database that uses the client's local storage as a database.>

  1. Storage Type: Apache Derby stores data on a server-side database system, while RxDB stores data on the client side using the browser's local storage or indexDB.
  2. Technology Stack: Apache Derby is written in Java and follows the traditional RDBMS structure, whereas RxDB is built using JavaScript and designed for use with reactive programming.
  3. Synchronization: Apache Derby requires network connectivity to synchronize data between clients and the server, while RxDB does not need network connectivity as it only operates on the client-side.
  4. Scalability: Apache Derby is more suitable for medium to large-scale enterprise applications due to its server-side capabilities, while RxDB is more suited for small to medium-scale applications that require offline functionality.
  5. Performance: Apache Derby may experience latency issues when accessed over a network due to data transfer between client and server, while RxDB offers faster data access and retrieval since it operates locally on the client side.
  6. Deployment: Apache Derby requires hosting and maintenance of server infrastructure for database operations, whereas RxDB can be easily deployed within client applications without the need for server-side resources.

In Summary, Apache Derby is a server-side RDBMS designed for larger-scale applications, while RxDB is a client-side database ideal for smaller-scale applications with a focus on offline functionality.

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Detailed Comparison

RxDB
RxDB
Apache Derby
Apache Derby

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

It is an open source relational database implemented entirely in Java and available under the Apache License.

-
Small footprint; Based on the Java, JDBC, and SQL standards; Provides an embedded JDBC driver
Statistics
GitHub Stars
22.8K
GitHub Stars
369
GitHub Forks
1.1K
GitHub Forks
141
Stacks
59
Stacks
103
Followers
179
Followers
22
Votes
63
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
Pouchdb
Pouchdb
CouchDB
CouchDB
Cloudant
Cloudant
React
React
Angular
Angular
Ionic
Ionic
Vue.js
Vue.js
Java
Java

What are some alternatives to RxDB, Apache Derby?

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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