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  1. Stackups
  2. Application & Data
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  4. Databases
  5. Percona Server for MySQL vs WatermelonDB

Percona Server for MySQL vs WatermelonDB

OverviewComparisonAlternatives

Overview

Percona Server for MySQL
Percona Server for MySQL
Stacks53
Followers52
Votes0
GitHub Stars1.2K
Forks502
WatermelonDB
WatermelonDB
Stacks12
Followers123
Votes1
GitHub Stars11.3K
Forks626

WatermelonDB vs Percona Server for MySQL: What are the differences?

Developers describe WatermelonDB as "🍉 Next-gen database for powerful React and React Native apps that scales to 10,000s of records and remains fast ⚡️". WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast. On the other hand, Percona Server for MySQL is detailed as "Open Source drop-in replacement for MySQL". It is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides superior performance, scalability and instrumentation. Its self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

WatermelonDB and Percona Server for MySQL belong to "Databases" category of the tech stack.

WatermelonDB and Percona Server for MySQL are both open source tools. It seems that WatermelonDB with 5.79K GitHub stars and 237 forks on GitHub has more adoption than Percona Server for MySQL with 585 GitHub stars and 262 GitHub forks.

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Detailed Comparison

Percona Server for MySQL
Percona Server for MySQL
WatermelonDB
WatermelonDB

It is a free, fully compatible, enhanced, open source drop-in replacement for MySQL that provides superior performance, scalability and instrumentation. Its self-tuning algorithms and support for extremely high-performance hardware delivers excellent performance and reliability.

WatermelonDB is a new way of dealing with user data in React Native and React web apps. It's optimized for building complex applications in React Native, and the number one goal is real-world performance. In simple words, your app must launch fast.

Works on-premises and in the cloud;Enterprise ready;SaaS deployable;Vertical scalability and server consolidation;Deep visibility into database performance;Faster and more consistently run queries; Enhanced security with binary log (binlog) encryption and data-at-rest encryption; Improved efficiency with server consolidation
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Statistics
GitHub Stars
1.2K
GitHub Stars
11.3K
GitHub Forks
502
GitHub Forks
626
Stacks
53
Stacks
12
Followers
52
Followers
123
Votes
0
Votes
1
Pros & Cons
No community feedback yet
Pros
  • 1
    Undefined is not an object (evaluating 'columnSchema.ty
Integrations
CentOS
CentOS
Red Hat Enterprise Linux (RHEL)
Red Hat Enterprise Linux (RHEL)
Debian
Debian
Amazon Linux
Amazon Linux
RxJS
RxJS
React
React
SQLite
SQLite
React Native
React Native

What are some alternatives to Percona Server for MySQL, WatermelonDB?

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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