GITNUX REPORT 2024

Most Popular Databases: Oracle Leads Market, MySQL Dominates Websites

Discover the top databases dominating the market, from Oracle and MySQL to MongoDB and Elasticsearch.

Author: Jannik Lindner

First published: 7/17/2024

Statistic 1

MongoDB has over 100 million downloads

Statistic 2

MySQL has over 2 million active installations

Statistic 3

MySQL has over 65,000 downloads per day

Statistic 4

MongoDB has been downloaded over 175 million times

Statistic 5

MongoDB has over 1.5 million members in its user community

Statistic 6

PostgreSQL has over 4,000 contributors

Statistic 7

Microsoft SQL Server has over 1 million customers

Statistic 8

MongoDB Atlas has over 26,800 customers

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Oracle Database has over 310,000 customers worldwide

Statistic 10

MongoDB Atlas has customers in over 100 countries

Statistic 11

MySQL has over 300,000 customers

Statistic 12

MongoDB is used by over 35,000 customers

Statistic 13

SQLite is the most widely deployed database engine in the world

Statistic 14

SQLite is used in all mobile phones and most computers

Statistic 15

MongoDB Atlas is available in over 80 regions worldwide

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SQLite has over 1 trillion deployments worldwide

Statistic 17

SQLite is used in the Airbus A350 flight software

Statistic 18

SQLite has over 400 billion deployments

Statistic 19

Microsoft SQL Server has over 19 million developers using it

Statistic 20

Redis is used by over 1 million developers worldwide

Statistic 21

PostgreSQL has over 30 years of active development

Statistic 22

SQLite has a 100% branch test coverage

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Elasticsearch is used by 36% of the Fortune 500 companies

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Redis is used by over 75% of Fortune 500 companies

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Cassandra is used by over 40% of the Fortune 100 companies

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Microsoft SQL Server is used by over 97% of Fortune 100 companies

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Redis is used by all 15 of the top 15 software companies

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Oracle Database is used by 97% of Fortune 100 companies

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Oracle Database supports up to 4 billion columns per table

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PostgreSQL supports over 160 out of 179 SQL features

Statistic 31

SQLite requires zero configuration

Statistic 32

Oracle Database supports up to 252 partitions per table

Statistic 33

Oracle Database has over 2,000 features

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PostgreSQL has over 100 built-in functions

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PostgreSQL has seen a 15% year-over-year growth rate

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Oracle Database has over 40% market share in the relational database market

Statistic 37

MySQL has over 50% market share in the open-source database market

Statistic 38

Redis can handle over 1 million requests per second

Statistic 39

Microsoft SQL Server can process over 30 million transactions per minute

Statistic 40

Elasticsearch can index over 1 billion documents in under 1 hour

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Cassandra can handle over 1 million write operations per second

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Redis can handle over 100,000 SET operations per second

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Redis can handle over 1 million QPS on a single AWS EC2 instance

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PostgreSQL can handle over 4 million inserts per second

Statistic 45

Cassandra can handle over 1 petabyte of data

Statistic 46

PostgreSQL can handle databases up to 32 TB in size

Statistic 47

Microsoft SQL Server can support up to 524,272 terabytes per database

Statistic 48

Oracle Database has over 19 exabytes of data under management

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Microsoft SQL Server can handle over 524 petabytes of data

Statistic 50

Oracle Database supports up to 1000 concurrent sessions

Statistic 51

MySQL is used by 39.1% of all websites

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MySQL powers 5 of the top 10 most popular websites

Statistic 53

Elasticsearch processes over 100 billion events per day

Statistic 54

Elasticsearch is used by Wikipedia to power its search functionality

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Cassandra is used by Apple to handle over 10 billion writes per day

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MySQL is used by Facebook to store billions of user data points

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Elasticsearch processes over 300 billion events per day for Uber

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Cassandra is used by Netflix to handle 1 trillion events per day

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MySQL powers over 20 million websites

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Redis is used by Twitter to handle 300 billion read operations per day

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Elasticsearch is used by Walmart to power product search for 100 million products

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Cassandra is used by Instagram to handle 3.5 billion likes per day

Statistic 63

Microsoft SQL Server has over 100 million active databases

Statistic 64

Elasticsearch processes over 800 million searches per day for Etsy

Statistic 65

Cassandra is used by eBay to handle over 6 billion writes per day

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Summary

  • Oracle Database has over 40% market share in the relational database market
  • MySQL is used by 39.1% of all websites
  • PostgreSQL has seen a 15% year-over-year growth rate
  • MongoDB has over 100 million downloads
  • Microsoft SQL Server has over 1 million customers
  • Redis can handle over 1 million requests per second
  • Elasticsearch is used by 36% of the Fortune 500 companies
  • SQLite is the most widely deployed database engine in the world
  • Cassandra can handle over 1 petabyte of data
  • Oracle Database supports up to 4 billion columns per table
  • MySQL has over 2 million active installations
  • PostgreSQL supports over 160 out of 179 SQL features
  • MongoDB Atlas has over 26,800 customers
  • Microsoft SQL Server can process over 30 million transactions per minute
  • Redis is used by over 75% of Fortune 500 companies

Buckle up, database enthusiasts! Ever wondered which databases are running the digital world? Brace yourselves for a whirlwind tour of the database universe, where Oracle reigns supreme with over 40% market share, MySQL powers a whopping 39.1% of websites, PostgreSQL boasts a stellar 15% growth rate, and MongoDB hits the charts with over 100 million downloads. From Microsoft SQL Server serving up a storm to Redis handling a million requests per second, strap in for a data-driven journey unlike any other. Get ready to dive deep into the intriguing realm of databases where every statistic tells a fascinating story!

Adoption

  • MongoDB has over 100 million downloads
  • MySQL has over 2 million active installations
  • MySQL has over 65,000 downloads per day
  • MongoDB has been downloaded over 175 million times

Interpretation

In the realm of databases, the numbers speak volumes - quite literally. MongoDB seems to be winning the popularity contest with over 100 million downloads and a whopping 175 million total downloads, making it the belle of the database ball. However, MySQL is no shrinking violet with over 2 million active installations and a respectable 65,000 downloads per day. It's a tale of two tech giants, each flexing their data-storing muscles in this ever-evolving digital landscape.

Community

  • MongoDB has over 1.5 million members in its user community
  • PostgreSQL has over 4,000 contributors

Interpretation

In the world of databases, numbers certainly speak volumes - and it seems MongoDB has built a community big enough to rival a small country while PostgreSQL boasts a dedicated army of contributors. With over 1.5 million members, MongoDB's user community could probably form their own bustling metropolis, complete with data-driven coffee shops and cloud-based public transport. Meanwhile, PostgreSQL's 4,000 contributors showcase a formidable force of database enthusiasts, ready to tackle any coding conundrum with the precision of a well-structured query. In this tech showdown, it's not just about the size of the crowd, but the quality of the collaboration that truly makes a difference.

Customer Base

  • Microsoft SQL Server has over 1 million customers
  • MongoDB Atlas has over 26,800 customers
  • Oracle Database has over 310,000 customers worldwide
  • MongoDB Atlas has customers in over 100 countries
  • MySQL has over 300,000 customers
  • MongoDB is used by over 35,000 customers

Interpretation

In the high-stakes world of databases, it seems everyone is vying for a piece of the data pie. With Microsoft SQL Server proudly boasting over a million customers, Oracle Database flexing its muscles with a global reach of 310,000 customers, and MySQL holding its ground with over 300,000 loyal users, it's clear that the competition is fierce. And then there's MongoDB, the new kid on the block, making waves with over 35,000 customers worldwide and spreading its influence to over 100 countries with MongoDB Atlas. With numbers like these, it's safe to say that the database wars are heating up, and the battle for data dominance is far from over.

Deployment

  • SQLite is the most widely deployed database engine in the world
  • SQLite is used in all mobile phones and most computers
  • MongoDB Atlas is available in over 80 regions worldwide
  • SQLite has over 1 trillion deployments worldwide
  • SQLite is used in the Airbus A350 flight software
  • SQLite has over 400 billion deployments

Interpretation

The statistics on SQLite's widespread adoption read like a thrilling spy novel set in the world of database engines. With its fingerprints on all mobile phones, most computers, and even the skies through the Airbus A350 flight software, SQLite emerges as the smooth-talking master infiltrator of the digital realm. Meanwhile, MongoDB Atlas stands as the globe-trotting rival, boasting its presence in over 80 regions worldwide. In a plot twist worthy of a Hollywood blockbuster, SQLite's staggering 1 trillion deployments and 400 billion deployments reveal the sheer magnitude of its espionage-like influence, leaving us all questioning: Who's watching who in the world of databases?

Developer Base

  • Microsoft SQL Server has over 19 million developers using it
  • Redis is used by over 1 million developers worldwide

Interpretation

While Microsoft SQL Server may have a towering army of 19 million developers at its disposal, Redis is the cool kid on the block strutting its stuff with a solid million-strong following. It’s a classic case of quality over quantity, with Redis proving that you don’t need to be the biggest to make a significant impact in the world of databases. So, whether you prefer the established giant or the rising star, one thing is clear: the database game is still going strong, attracting tech talents of all stripes.

Development

  • PostgreSQL has over 30 years of active development
  • SQLite has a 100% branch test coverage

Interpretation

In the dynamic world of databases, PostgreSQL flaunts its extensive experience, standing tall with over 30 years of active development under its belt. On the other hand, SQLite confidently flexes its muscle with a perfect 100% branch test coverage, illustrating its meticulous attention to detail and commitment to quality assurance. While PostgreSQL boasts a seasoned track record, SQLite proves that sometimes precision can outshine age in the competitive realm of database technologies.

Enterprise Usage

  • Elasticsearch is used by 36% of the Fortune 500 companies
  • Redis is used by over 75% of Fortune 500 companies
  • Cassandra is used by over 40% of the Fortune 100 companies
  • Microsoft SQL Server is used by over 97% of Fortune 100 companies
  • Redis is used by all 15 of the top 15 software companies
  • Oracle Database is used by 97% of Fortune 100 companies

Interpretation

In the cutthroat world of database dominance, it seems companies are shamelessly hedging their bets on multiple platforms to stay ahead. It's a game of hot potato as they juggle Elasticsearch, Redis, Cassandra, Microsoft SQL Server, and Oracle Database like a high-stakes carnival act. Apparently, the key to success lies in spreading your data storage eggs across as many baskets as possible – because in the digital Wild West, there's no telling which database will reign supreme tomorrow. It's a database showdown, and everyone's playing for keeps.

Features

  • Oracle Database supports up to 4 billion columns per table
  • PostgreSQL supports over 160 out of 179 SQL features
  • SQLite requires zero configuration
  • Oracle Database supports up to 252 partitions per table
  • Oracle Database has over 2,000 features
  • PostgreSQL has over 100 built-in functions

Interpretation

In the world of databases, it seems like Oracle has more features than a Swiss Army knife on steroids, while PostgreSQL is the cool kid in town with a knack for handling almost every SQL feature except maybe tying shoelaces. And then there's SQLite, the no-nonsense minimalist who needs no introduction, requiring less setup than a Netflix binge session. So, whether you like your database with a side of endless columns, partitions, or functions, these statistics show that in the data-driven world, there's a database for every need, and apparently, Oracle has you covered for just about anything!

Growth

  • PostgreSQL has seen a 15% year-over-year growth rate

Interpretation

In the ever-evolving world of databases, PostgreSQL is the rising star with a growth rate that could make a cheetah jealous. Its 15% year-over-year surge is not just a statistical blip, but a testament to its increasing popularity among data aficionados. Perhaps it's time for other databases to step up their game or risk being left in the digital dust by this feisty contender. Watch out, SQL giants, PostgreSQL is coming for that number one spot!

Market Share

  • Oracle Database has over 40% market share in the relational database market
  • MySQL has over 50% market share in the open-source database market

Interpretation

Oracle may rule over the relational database realm with its 40% market share, but MySQL is the true open-source overlord, commanding over half of that domain. It seems like in the database world, it's all about striking that delicate balance between the iron fist of proprietary software and the free-spirited nature of open-source solutions. So, next time you're juggling databases, just remember that even in this digital jungle, there's always room for both the Oracle and the underdog MySQL to shine.

Performance

  • Redis can handle over 1 million requests per second
  • Microsoft SQL Server can process over 30 million transactions per minute
  • Elasticsearch can index over 1 billion documents in under 1 hour
  • Cassandra can handle over 1 million write operations per second
  • Redis can handle over 100,000 SET operations per second
  • Redis can handle over 1 million QPS on a single AWS EC2 instance
  • PostgreSQL can handle over 4 million inserts per second

Interpretation

In the fast-paced world of databases, these statistics paint a picture of each platform showcasing their impressive capabilities like contestants in a high-stakes race. From Redis sprinting through over a million requests per second to Microsoft SQL Server smoothly processing 30 million transactions per minute, and Cassandra flexing its muscles with a million write operations per second, each database shows off its unique strength. It’s a thrilling showcase where Elasticsearch races to index a billion documents in under an hour, while PostgreSQL confidently handles over 4 million inserts per second. Like a database Olympics, these numbers prove that in the ever-evolving landscape of data management, there’s no shortage of standout performers ready to push the boundaries of what’s possible.

Scalability

  • Cassandra can handle over 1 petabyte of data
  • PostgreSQL can handle databases up to 32 TB in size
  • Microsoft SQL Server can support up to 524,272 terabytes per database
  • Oracle Database has over 19 exabytes of data under management
  • Microsoft SQL Server can handle over 524 petabytes of data
  • Oracle Database supports up to 1000 concurrent sessions

Interpretation

In the world of databases, size truly does matter. From Cassandra flaunting its capability to handle a whopping 1 petabyte of data to Oracle Database casually managing over 19 exabytes, these statistics paint a picture of impressive digital storage prowess. While PostgreSQL may seem a bit more modest in comparison with its 32 TB limit, don't underestimate the power of Microsoft SQL Server, which can support an eye-popping 524,272 terabytes per database. And let's not forget about the social Microsoft SQL Server, which can handle a staggering 524 petabytes - talk about never running out of storage space! Oracle may bring in the competition with its ability to support 1000 concurrent sessions, but when it comes to sheer data size, the battle of the databases is certainly a storage war worth watching.

Usage

  • MySQL is used by 39.1% of all websites
  • MySQL powers 5 of the top 10 most popular websites
  • Elasticsearch processes over 100 billion events per day
  • Elasticsearch is used by Wikipedia to power its search functionality
  • Cassandra is used by Apple to handle over 10 billion writes per day
  • MySQL is used by Facebook to store billions of user data points
  • Elasticsearch processes over 300 billion events per day for Uber
  • Cassandra is used by Netflix to handle 1 trillion events per day
  • MySQL powers over 20 million websites
  • Redis is used by Twitter to handle 300 billion read operations per day
  • Elasticsearch is used by Walmart to power product search for 100 million products
  • Cassandra is used by Instagram to handle 3.5 billion likes per day
  • Microsoft SQL Server has over 100 million active databases
  • Elasticsearch processes over 800 million searches per day for Etsy
  • Cassandra is used by eBay to handle over 6 billion writes per day

Interpretation

In a digital world where data reigns supreme, these statistics paint a powerful picture of the engines that drive our favorite online destinations. From MySQL's ubiquitous presence underpinning a vast web infrastructure to Elasticsearch's lightning-speed event processing abilities, and Cassandra's heavy lifting for tech giants like Apple and Netflix, it's clear that these databases are the unsung heroes of our daily virtual adventures. So, the next time you hit like on Instagram or search for that must-have product on Walmart's website, remember the silent but mighty role played by these behind-the-scenes data heroes. Their work may go unnoticed, but their impact on our online experiences is undeniable.

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