Data is an integral part of our lives. It is used everywhere from social media to the way we work, our entertainment, and the way we live. Data has become a commodity in itself, with many organizations spending more money on data storage than anything else.
For this reason, organizations are constantly looking for ways to stay ahead of their competitors by collecting high-quality data at a faster rate at a lower cost. One way to do this is through database systems. This article will identify the top 20 database systems to use in 2023.
1. Oracle
Oracle is a popular database management system that is gaining popularity due to its scalability and high performance. It is built on assembly languages such as Java, C, and C++, and a widely used RDBMS. It occupies less space than other databases and has a faster data processing speed.
Oracle continues to be a popular database. According to experts who keep a close eye on this field, the latest release (21C) has added many innovative features that make it an attractive option for future use!
2. MySQL
MySQL is a tried and true database that has been in great demand as web developers strive for stability, robustness or maturity. It is written in C and C++ and MySQL 8.0 is its latest database version.
MySQL quickly gained popularity in the industry and community due to its enterprise features, flexible license (GPL), as well as upgraded commercial versions. It is one of the most preferred choices for web development solutions.
Facebook, the world’s most popular social media site with over 3 billion users, runs on MySQL.
In a survey by Stack Overflow Developer Survey 2021, MySQL was found to be the most popular database for 2021.
3. MS SQL Server
According to a survey, 1056 companies use Microsoft SQL Server in their technology stack, including Accenture, Hepsiburada, and Microsoft.
Microsoft SQL Server is a great choice for environments that require high performance and a wide range of features. It can be used in any corporate environment for a variety of purposes such as business intelligence or analytics applications, giving you more information about your company’s performance by spending less time on tedious tasks. Microsoft has over a dozen different versions of Microsoft SQL Server that cater to different audiences and workloads.
Microsoft SQL Server Popularity Trends
4. PostgreSQL
For those who need enterprise-level database management, PostgreSQL is hard to beat. With an easy learning curve and support beyond the standard functions, it offers a wide range of complex needs in one package!
Initially, PostgreSQL was called POSTGRES, which was written at the University of California at Berkeley.
With its rich history and growth potential, PostgreSQL is one of the most advanced open-source databases.
5. MongoDB
MongoDB is the most popular database to use in 2021. It was released in 2009, and is considered challenging for object-oriented languages like RDBMS (relational database management systems) as they have a different way of storing data. Thus, with the introduction of MongoDB, handling document type information has become easier and does not require additional applications!
6. IBM DB2
IBM’s cutting-edge platform is powered by AI and is designed to deliver data anywhere. Its proven enterprise-ready features allow you to retrieve information faster while cutting down costs with its multimodel capabilities that eliminate any need for replicas or migrations in the process.
A flexible base powered by modern technologies allows customers to access all aspects of their business at the same time, without the constraints of multiple systems.
The list of databases for mobile apps has grown significantly in recent years, and IBM’s most up-to-date release is DB2 11.5, which speeds up query execution by using object-relational features such as JSON or XML data types to optimize performance on various platforms such as Windows, Linux, and Unix systems!
7. Redis
Redis is an open-source, in-memory data store used as both a database and a caching system. It offers various structures such as strings, lists, hashes, sorted sets with range queries, geospatial indexes, bitmaps, hyperlogs, and streams.
8. Elastic Search
ElasticSearch is a full-text search engine that can easily handle horizontal scalability with its automatic sharing feature and API. It has both the capability and eagerness for all kinds of data – be it logging or monitoring numbers!
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