global database rankings 2021

Top Most Popular Databases in the World

In today's data-driven world, choosing the right database is crucial for businesses seeking control and efficiency. With a plethora of options available, it can be challenging to navigate the vast landscape of databases.

In this article, we will explore the top most popular databases, including Oracle, MS SQL Server, MongoDB, Redis, and ElasticSearch. By delving into their features and advantages, we aim to provide insights into why these databases have become the go-to choices for organizations worldwide.

Key Takeaways

  • Oracle and MySQL are popular relational database management systems, with Oracle being developed by Oracle Corporation and MySQL being an open-source system.
  • MS SQL Server and PostgreSQL are also widely used relational database management systems, with MS SQL Server being developed by Microsoft and PostgreSQL being developed by a worldwide team of volunteers.
  • MongoDB and Cassandra are popular NoSQL databases, with MongoDB being a document-oriented database and Cassandra being a distributed database designed for managing large amounts of structured data.
  • Redis and ElasticSearch are fast and scalable databases, with Redis being an in-memory data structure store and ElasticSearch being a real-time search engine based on the Lucene library.

Oracle and MySQL

Oracle and MySQL are two of the most widely used and highly regarded databases in the world. When it comes to data storage capabilities, Oracle offers a robust and scalable solution. It can handle large amounts of data efficiently and supports advanced features such as partitioning and compression.

On the other hand, MySQL is known for its simplicity and ease of use. While it may not have the same level of scalability as Oracle, it still performs well with smaller datasets.

In terms of query performance, Oracle excels in handling complex queries and can optimize them for faster execution. It also provides various indexing techniques to improve query speed.

MySQL, on the other hand, may not have the same level of optimization as Oracle, but it still offers decent performance, especially for simpler queries.

MS SQL Server and PostgreSQL

When it comes to widely used and highly regarded databases, MS SQL Server and PostgreSQL stand out as top choices for organizations seeking robust and scalable solutions.

MS SQL Server, developed by Microsoft, is a relational database management system written in C and C++. It is widely used among major companies and supports the SQL language. Ideal for large organizations, MS SQL Server offers advanced features and tools for data manipulation and user control.

On the other hand, PostgreSQL is an open-source relational database management system developed by a worldwide team of volunteers. It supports various features such as tablespaces, stored procedures, joins, views, and triggers. PostgreSQL is used by companies like Apple, Cisco, Fujitsu, Skype, and IMDb. It also provides multi-version concurrency control (MVCC).

When comparing MS SQL Server and PostgreSQL, it is important to consider their advantages and disadvantages.

MS SQL Server offers a user-friendly interface, excellent performance, and strong integration with other Microsoft products. However, it is a proprietary software and can be expensive.

On the other hand, PostgreSQL is free and open-source, making it cost-effective. It also offers a wide range of features and supports multiple platforms. However, it may require more technical expertise and lacks some advanced features available in MS SQL Server.

Ultimately, the choice between MS SQL Server and PostgreSQL depends on the specific needs and preferences of the organization.

MongoDB and Cassandra

MongoDB and Cassandra are two highly popular databases known for their scalability and performance.

When it comes to data modeling techniques, MongoDB follows a flexible schema approach, allowing for dynamic modifications to the data structure. This provides developers with the freedom to adapt to changing requirements easily.

On the other hand, Cassandra follows a schema-less design, where data is organized into column families, providing high write performance and efficient storage of large amounts of data.

In terms of performance, MongoDB excels in read-heavy workloads, thanks to its support for document indexing and powerful query capabilities. It also offers automatic sharding, allowing for horizontal scaling to meet growing demands.

Cassandra, on the other hand, shines in write-heavy scenarios, where it can handle massive amounts of data and provide low-latency, high-throughput operations. Its distributed architecture ensures fault tolerance and scalability.

Redis and ElasticSearch

Redis and ElasticSearch are widely used in the world of databases.

Redis is an open-source, in-memory data structure store that serves as a database, cache, and message broker. It supports various data structures and provides automatic failover and replication to multiple slaves. Redis is known for its high performance and speed, thanks to its atomic operations and in-memory storage.

On the other hand, ElasticSearch is a real-time, distributed, and open-source full-text search and analytics engine. It is based on the Lucene library and is used by big organizations like Wikipedia and GitHub. ElasticSearch is scalable up to petabytes of structured and unstructured data, making it ideal for distributed data management.

Both Redis and ElasticSearch are powerful tools for handling high performance databases and managing distributed data efficiently.

Microsoft Access and Javatpoint Services

Moving on to another popular database, Microsoft Access and Javatpoint Services offer unique functionalities and services in the world of database management. Here are some key points to consider:

  1. Integration features of Microsoft Access:
  • Seamless integration with other Microsoft products like Excel and SharePoint.
  • Allows for easy data import and export to various formats, enhancing data interoperability.
  • Supports integration with SQL Server, allowing for a smooth transition from Access to a more robust database solution.
  1. Integration features of Javatpoint Services:
  • Offers a wide range of high-quality services, including website development, Android development, and digital marketing.
  • Provides training programs like summer training, industrial training, and college campus training for aspiring professionals.
  • Offers job placement services, assisting individuals in finding suitable employment opportunities.
  1. Comparison of data manipulation capabilities:
  • Microsoft Access provides advanced data manipulation features, allowing users to create complex queries, forms, and reports.
  • Javatpoint Services, on the other hand, focuses on providing comprehensive training and development services rather than direct data manipulation.


Another popular database in the world is PostgreSQL. It is an open-source relational database management system developed by a worldwide team of volunteers.

PostgreSQL supports advanced features like tablespaces, stored procedures, joins, views, triggers, and more. It is trusted by major companies such as Apple, Cisco, Fujitsu, Skype, and IMDb.

One of the key strengths of PostgreSQL is its emphasis on data security and encryption. It provides robust authentication mechanisms and supports various encryption methods to ensure the confidentiality and integrity of data.

Additionally, PostgreSQL offers reliable data backup and disaster recovery capabilities. It allows users to create backups and restore data in case of accidental deletion or system failures, ensuring the availability and continuity of critical business information.

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