Overview

MySQL

Stacks128.5K

Followers108.6K

Votes3.8K

GitHub Stars11.8K

Forks4.1K

RxDB

Stacks58

Followers179

Votes63

GitHub Stars22.8K

Forks1.1K

MySQL vs RxDB: What are the differences?

Introduction: In the realm of database management systems, MySQL and RxDB are two distinct options that serve different purposes. Understanding the key differences between the two can help in deciding which one fits best for a particular project.

Data Model and Query Language: MySQL follows a traditional relational database model using SQL for querying and manipulation. On the other hand, RxDB utilizes a NoSQL approach, particularly focusing on JSON-based documents and query language based on JavaScript functions. This difference in data model and query language can significantly impact the way data is stored, accessed, and manipulated.
Synchronization and Offline Support: RxDB excels in synchronization and offline support by providing seamless data syncing across different instances, making it ideal for applications that require consistent data across multiple devices even when offline. MySQL, on the other hand, lacks built-in support for seamless synchronization and offline capabilities, making it less suitable for such scenarios.
Real-time Data Updates: RxDB offers real-time data updates through its observables feature, allowing applications to react immediately to any changes in the database, ensuring a dynamic user experience. MySQL, while capable of handling real-time data updates, may require additional setup or third-party tools to achieve similar real-time capabilities, making it slightly more complex in this aspect.
Browser Compatibility: RxDB is specifically designed to work smoothly in browser environments, making it a favorable choice for web applications that require database functionalities directly within the browser. MySQL, being a traditional server-side database system, is intended for server environments and may not be as optimized for browser compatibility without additional configurations or tools.
Embedded Database Capabilities: RxDB has built-in support for embedded databases, allowing applications to include a lightweight database directly within the application itself without the need for external servers or dependencies. MySQL, being primarily a server-based database system, may not be as suitable for embedded scenarios without significant modifications or additional components.
Scalability and Performance: MySQL is known for its robust scalability and performance capabilities, making it a popular choice for large-scale applications with high performance demands. While RxDB can handle moderate to high loads efficiently, it may not match the scalability and performance benchmarks set by MySQL, particularly in enterprise-level applications with extensive data processing requirements.

In Summary, understanding the differences between MySQL and RxDB in data model, synchronization, real-time updates, browser compatibility, embedded capabilities, and scalability can help in choosing the most suitable database system for specific project requirements.

Advice on MySQL, RxDB

Kyle

Web Application Developer at Redacted DevWorks

Dec 3, 2019

Decidedon

PostGIS

While there's been some very clever techniques that has allowed non-natively supported geo querying to be performed, it is incredibly slow in the long game and error prone at best.

MySQL finally introduced it's own GEO functions and special indexing operations for GIS type data. I prototyped with this, as MySQL is the most familiar database to me. But no matter what I did with it, how much tuning i'd give it, how much I played with it, the results would come back inconsistent.

It was very disappointing.

I figured, at this point, that SQL Server, being an enterprise solution authored by one of the biggest worldwide software developers in the world, Microsoft, might contain some decent GIS in it.

I was very disappointed.

Postgres is a Database solution i'm still getting familiar with, but I noticed it had no built in support for GIS. So I hilariously didn't pay it too much attention. That was until I stumbled upon PostGIS and my world changed forever.

449k views449k

Comments

Ido

Mar 6, 2020

Decided

My data was inherently hierarchical, but there was not enough content in each level of the hierarchy to justify a relational DB (SQL) with a one-to-many approach. It was also far easier to share data between the frontend (Angular), backend (Node.js) and DB (MongoDB) as they all pass around JSON natively. This allowed me to skip the translation layer from relational to hierarchical. You do need to think about correct indexes in MongoDB, and make sure the objects have finite size. For instance, an object in your DB shouldn't have a property which is an array that grows over time, without limit. In addition, I did use MySQL for other types of data, such as a catalog of products which (a) has a lot of data, (b) flat and not hierarchical, (c) needed very fast queries.

575k views575k

Comments

Navraj

CEO at SuPragma

Apr 16, 2020

Needs adviceon

MySQL

PostgreSQL

I asked my last question incorrectly. Rephrasing it here.

I am looking for the most secure open source database for my project I'm starting: https://github.com/SuPragma/SuPragma/wiki

Which database is more secure? MySQL or PostgreSQL? Are there others I should be considering? Is it possible to change the encryption keys dynamically?

Thanks,

Raj

401k views401k

Comments

Detailed Comparison

MySQL	RxDB
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.	💻 📱 Reactive, serverless, client-side, offline-first database in javascript. Client-Side Database for Browsers, NodeJS, electron, cordova, react-native and every other javascript-runtime.
Statistics
GitHub Stars 11.8K	GitHub Stars 22.8K
GitHub Forks 4.1K	GitHub Forks 1.1K
Stacks 128.5K	Stacks 58
Followers 108.6K	Followers 179
Votes 3.8K	Votes 63
Pros & Cons
Pros 800 Sql 679 Free 562 Easy 528 Widely used 490 Open source Cons 16 Owned by a company with their own agenda 3 Can't roll back schema changes	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
No integrations available	Pouchdb CouchDB Cloudant React Angular Ionic Vue.js

What are some alternatives to MySQL, RxDB?

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.

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 is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

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

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 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

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 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

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.

InfluxDB

InfluxDB is a scalable datastore for metrics, events, and real-time analytics. It has a built-in HTTP API so you don't have to write any server side code to get up and running. InfluxDB is designed to be scalable, simple to install and manage, and fast to get data in and out.