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Displaying posts with tag: comparison (reset)
MariaDB vs MySQL: Key Differences and Use Cases

This blog post was originally published in November 2017 and was updated in June 2023.

In this blog, we’ll provide a comparison between MariaDB vs. MySQL (including Percona Server for MySQL).

Introduction: MariaDB vs. MySQL

The goal of this blog post is to evaluate, at a higher level, MariaDB vs. MySQL vs. Percona Server for MySQL side-by-side to better inform the decision making process. It is largely an unofficial response to published comments from the MariaDB Corporation.

It is worth noting that Percona Server for MySQL is a drop-in compatible branch of MySQL, where Percona contributes as much as possible upstream. MariaDB Server, on the other hand, is a fork of MySQL 5.5. They cherry-picked MySQL features and don’t …

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Amazon RDS Aurora MySQL – Differences Among Editions

Amazon Aurora with MySQL Compatibility comes in three editions which, at the time of writing, have quite a few differences around the features that they support.  Make sure you don’t assume the newer Aurora 2.x supports everything in Aurora 1.x. On the contrary, right now Aurora 1.x (MySQL 5.6 based) supports most Aurora features.  The serverless option was launched for this version, and it’s not based on the latest MySQL 5.7.  However, the serverless option, too, has its own set of limitations

I found a concise comparison of what is available in which Amazon Aurora edition hard to come by so I’ve created one.  The table was compiled based mostly on documentation research, so if you spot some mistakes please let me know and I’ll make a correction.

Please keep in mind, this is expected to …

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Webinar Wed 8/29: Databases in the Hosted Cloud

Please join Percona’s Chief Evangelist, Colin Charles on Wednesday, August 29th, 2018, as he presents Databases in the Hosted Cloud at 7:00 AM PDT (UTC-7) / 10:00 AM EDT (UTC-4).

Register Now

 

Nearly everyone today uses some form of database in the hosted cloud. You can use hosted MySQL, MariaDB, Percona Server, and PostgreSQL in several cloud providers as a database as a service (DBaaS).

In this webinar, Colin Charles explores how to efficiently deploy a cloud database configured for optimal performance, with a particular focus on MySQL.

You’ll learn the differences between the various public cloud offerings for Amazon RDS including Aurora, Google Cloud SQL, Rackspace OpenStack …

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Webinar Tues 8/21: MariaDB 10.3 vs. MySQL 8.0

Please join Percona’s Chief Evangelist, Colin Charles on Tuesday, August 21st, 2018, as he presents MariaDB 10.3 vs. MySQL 8.0 at 7:00 AM PDT (UTC-7) / 10:00 PM EDT (UTC-4).

Register Now

Are they syntactically similar? Where do these two languages differ? Why would I use one over the other?

MariaDB 10.3 is on the path of gradually diverging from MySQL 8.0. One obvious example is the internal data dictionary currently under development for MySQL 8.0. This is a major change to the way metadata is stored and used within the server: MariaDB doesn’t have an equivalent feature. Implementing this feature could mark the end of datafile-level compatibility between MySQL and MariaDB.

There are also non-technical …

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Webinar Wed 7/18: MariaDB 10.3 vs. MySQL 8.0

Please join Percona’s Chief Evangelist, Colin Charles as he presents as he presents MariaDB 10.3 vs. MySQL 8.0 on Wednesday, July 18th, 2018, at 9:00 AM PDT (UTC-7) / 12:00 PM EDT (UTC-4).

Register Now

 

Technical considerations

Are they syntactically similar? Where do these two databases differ? Why would I use one over the other?

MariaDB 10.3 is on the path of gradually diverging from MySQL 8.0. One obvious example is the internal data dictionary currently under development for MySQL 8.0. This is a major change to the way metadata is stored and used within the server, and MariaDB doesn’t have an equivalent feature. Implementing this feature could mark the end of datafile-level compatibility between …

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MySQL inline query versus stored procedure comparison

Simple query using group clause for 1 million records resulting in final list of 27 records.

First time takes 0.43053775 secs.
Same query through Stored procedure: First time takes 0.43341600 secs.

So in terms of time, first time they are very close.
Profiling comparison for both can be seen in below figure no_cache_comparison.png where left one is simple inline query and right one is stored procedure query.




There are some actions which are extra in the inline query:

1. freeing items
2. logging slow query
3. cleaning up

Running both second time retrieve data from cache …

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MySQL 5.6 vs. MariaDB 10.0

A high-level comparative overview of the features

With the recent GA release of MySQL 5.6, there have been a lot of questions about where MariaDB stands with regards to MySQL 5.6.  SkySQL will of course support both as Patrik explained in his recent blog post, but there are many questions about the technical differences. Rasmus from Monty Program gave a detailed view on MariaDB 10.0 here but I thought it would be beneficial to share a comparison table of the two. MariaDB recently released a benchmark including various versions of both MariaDB and MySQL (as did DmitriK from Oracle), but this post will focus solely on features (not …

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Comparison Between Solr And Sphinx Search Servers (Solr Vs Sphinx – Fight!)

In the past few weeks I've been implementing advanced search at Plaxo, working quite closely with Solr enterprise search server. Today, I saw this relatively detailed comparison between Solr and its main competitor Sphinx (full credit goes to StackOverflow user mausch who had been using Solr for the past 2 years). For those still confused, Solr and Sphinx are similar to MySQL FULLTEXT search, or for those even more confused, think Google (yeah, this is a bit of a stretch, I know).

Similarities

  • Both Solr and Sphinx satisfy all of your requirements. They're fast and designed to index and search large bodies of data efficiently.
  • Both have a long list of high-traffic sites …
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Document oriented data stores

A document oriented database or data store does not use tables for storing data. It stores each record as a document with certain characteristics. So a multiple documents in this type of store can have different characteristics - which means different number of fields per record and different fields per row. The benefit would be that if you are using a document oriented database for storing a

OSCON 2008 Popularity Contest

I didn't get a chance to go to OSCON 2008. Bummer. But I can live vicariously through google. So, along with all of the announcements you've heard from OSCON, I know present the OSCON 2008 - Google popularity contest. This is a completely unscientific survey of google hits. I was searching blogs and news. I started with just news but the blogs hits really upped the numbers.

To run these searches, I use "oscon 2008" and the search term, for example:

"oscon 2008" mysql

In the case of open source, I also quoted "open source".

I'm using google's about number. I didn't sit and count each hit. ;-)

Category Term Hits
General open source 28600
cloud 4220
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