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  1. Stackups
  2. Application & Data
  3. Databases
  4. Databases
  5. RxDB vs TS-SQL

RxDB vs TS-SQL

OverviewComparisonAlternatives

Overview

RxDB
RxDB
Stacks59
Followers179
Votes63
GitHub Stars22.8K
Forks1.1K
TS-SQL
TS-SQL
Stacks0
Followers7
Votes0
GitHub Stars3.3K
Forks54

RxDB vs TS-SQL: What are the differences?

RxDB vs TS-SQL

RxDB and TS-SQL are both popular database technologies utilized for different purposes. Below are key differences between them:

1. **Data Handling Approach**: RxDB utilizes a reactive programming paradigm, enabling efficient data handling and synchronization within the application. On the other hand, TS-SQL relies on Structured Query Language (SQL) for data manipulation, offering a more traditional relational database management approach.

2. **Ecosystem Integration**: RxDB is seamlessly integrated with front-end frameworks like React and Angular, allowing for smooth data flow and state management. In contrast, TS-SQL is commonly used as a backend database technology, often paired with Node.js for server-side applications.

3. **Real-time Capabilities**: RxDB provides built-in real-time data synchronization features, making it ideal for applications requiring real-time updates and offline support. TS-SQL, while capable of handling real-time data through triggers and stored procedures, may require additional configurations for seamless real-time functionality.

4. **Data Querying and Filtering**: RxDB allows for easy querying and filtering of data using Observables, providing a more flexible and dynamic approach to data retrieval. In comparison, TS-SQL offers robust querying capabilities using SQL queries, which are optimized for complex data retrieval and manipulation tasks.

5. **Scalability**: RxDB is well-suited for small to medium-sized applications due to its lightweight and flexible nature, offering scalability options for growing projects. TS-SQL, being a traditional database system, is commonly used for large-scale enterprise applications requiring robust data handling and extensive scalability features.

6. **Development Environment**: RxDB is often preferred for rapid prototyping and development cycles due to its ease of use and quick setup process. TS-SQL, being a mature technology with a strong community and extensive documentation, offers a stable and reliable development environment for long-term projects.

In Summary, RxDB and TS-SQL differ significantly in their data handling approach, ecosystem integration, real-time capabilities, data querying methods, scalability options, and development environments.

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Detailed Comparison

RxDB
RxDB
TS-SQL
TS-SQL

💻 📱 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 a SQL database implemented purely in TypeScript type annotations. This means that it operates solely on types - you define a "database" (just a type annotation) and then query it using some more type annotations. It supports a subset of SQL, including SELECT (with conditions and joins), INSERT, UPDATE and DELETE statements.

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SQL database; TypeScript type annotations
Statistics
GitHub Stars
22.8K
GitHub Stars
3.3K
GitHub Forks
1.1K
GitHub Forks
54
Stacks
59
Stacks
0
Followers
179
Followers
7
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
TypeScript
TypeScript

What are some alternatives to RxDB, TS-SQL?

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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