Microsoft SQL Server vs Percona Server for MySQL | What are the differences? | StackShare

Microsoft SQL Server vs Percona Server for MySQL

Overview

Microsoft SQL Server

Stacks21.3K

Followers15.5K

Votes540

Percona Server for MySQL

Stacks53

Followers52

Votes0

GitHub Stars1.2K

Forks502

Microsoft SQL Server vs Percona Server for MySQL: What are the differences?

Microsoft SQL Server: A relational database management system developed by Microsoft. Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions; Percona Server for MySQL: 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.

Microsoft SQL Server and Percona Server for MySQL can be primarily classified as "Databases" tools.

Percona Server for MySQL is an open source tool with 585 GitHub stars and 262 GitHub forks. Here's a link to Percona Server for MySQL's open source repository on GitHub.

🔥 Trending in Databases on StackShare

pgvector Databases

Open-source vector similarity search for Postgres

Try it View Docs Alternatives

Try

189

Advice on Microsoft SQL Server, Percona Server for MySQL

Erin

IT Specialist

Mar 10, 2020

Needs adviceon

Microsoft SQL Server

MySQL

PostgreSQL

I am a Microsoft SQL Server programmer who is a bit out of practice. I have been asked to assist on a new project. The overall purpose is to organize a large number of recordings so that they can be searched. I have an enormous music library but my songs are several hours long. I need to include things like time, date and location of the recording. I don't have a problem with the general database design. I have two primary questions:

I need to use either @{MySQL}|tool:1025| or @{PostgreSQL}|tool:1028| on a @{Linux}|tool:10483| based OS. Which would be better for this application?
I have not dealt with a sound based data type before. How do I store that and put it in a table? Thank you.

668k views668k

Comments

Detailed Comparison

Microsoft SQL Server	Percona Server for MySQL
Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.	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.
-	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
Statistics
GitHub Stars -	GitHub Stars 1.2K
GitHub Forks -	GitHub Forks 502
Stacks 21.3K	Stacks 53
Followers 15.5K	Followers 52
Votes 540	Votes 0
Pros & Cons
Pros 139 Reliable and easy to use 101 High performance 95 Great with .net 65 Works well with .net 56 Easy to maintain Cons 4 Expensive Licensing 2 Microsoft 1 Replication can loose the data 1 Allwayon can loose data in asycronious mode 1 The maximum number of connections is only 14000 connect	No community feedback yet
Integrations
No integrations available	CentOS Red Hat Enterprise Linux (RHEL) Debian Amazon Linux

What are some alternatives to Microsoft SQL Server, Percona Server for MySQL?

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

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 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.

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.