6 Best Databases To Use In 2023: A Comprehensive Guide

Dharmendra Kumar • Last Modified: September 1st, 2023

Best Databases for 2021

Data is now considered to be one of the most valuable assets of any organization. It makes transactions within a business easier and facilitates a smooth flow of operations. Data is also a key decision-making tool as organizations are relying on evidence-based decision-making more than ever before. As a result, every organization is looking for a way to store their data in the most efficient way possible.

As organizations become more data-driven, incorporating the best databases has become crucial to differentiate in the competitive market. With several types of databases available in the market, it becomes strenuous for companies to assess and implement the one that can streamline the data flow. What makes it even more challenging for organizations is the rapid improvements and changes in databases with every new update.

This article will provide you with a comprehensive understanding of the fastest databases along with the best databases available in the market, allowing you to make a decision based on which database is best for your business and data requirements.

Table of Contents

What are Databases?

Best Databases: Database Cover Image
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A Database is a systematic collection of a wide range of Structured and Unstructured Data in an electronic system, which is managed through a Database Management System (DBMS). Collectively, data, database, Database Management System (DBMS), and all associated applications form a database system. One might think of database systems as a vast table with multiple rows and columns, but it is much more than that. With the ever-multiplying information, the need to create a better-than-before Database Management System (DBMS) increased to yield numerous databases for precise results. A database is primarily divided into Flat Files, Relational, and Non-Relational Databases.

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Types of Databases

The three types of databases are as follows:

  • Flat File Database: Flat File Databases store data without any proper structure or indexing. The data in a Flat File Database does not relate to one another, thereby serving as a solution for relatively simple database tasks. This makes it almost ineffective in the data-driven world.
  • Relational Database: As the name suggests, Relational Database stores and provides access to related data points. Based on the Relational Model, the database was created to structurize a wide variety of information. For instance, an E-Commerce business needs to track its transactions. The challenge here might include repeated customers or products or addresses linked with different customers who might be related. In such a case, storing information in multiple tables is more accessible than the linear model of storing data. This structure defines a hierarchy to access and manage all the data and hence, it is called a Hierarchical Database. This model uses a tree structure to link several child nodes to a parent, using a one-to-many relationship for different data elements.
Best Databases: Relational Database
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  • Non-Relational Database: It was created to primarily deal with Unstructured Data that is generated from numerous sources such as documents, audio, video, social networks, etc. This database has gained popularity in recent years since companies now have to deal with Unstructured Data more than ever before. This model stores data differently from relational tables to permit the related data to be kept within a single data structure. Non-Relational Database is further divided into four types of databases, i.e., Document Store, Key-Value Databases, Wide-column Stores, and Graph Databases.
Best Databases: Non-Relational Database
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What are the Benefits of Database Software?

The key benefits of using a database are as follows:

  • Improved Data Sharing: Database equips users with better access to well-managed data. This allows users to respond in time to the changes occurring around them.
  • Decreased Data Redundancy: The File-based Data management system often led to data redundancy as it contains several files that were stored in multiple locations in a system. This situation was fostering numerous copies of the same file. Today, in a database, the slightest change is reflected immediately throughout the tables, preventing any chance of encountering duplicate data.
  • Improved Data Security: As the number of new users increase, the amount of data sharing also increases. This further increases the risk for data security. But, Database Management Systems (DBMS) offers a secure platform and robust policies that ensure data privacy.
  • Faster Data Access: Databases offer impromptu responses to database queries, allowing faster and more accurate data access. For instance, if your client deals with a large amount of sales data with databases, they can get better access to the data, triggering a faster sales cycle.

How to Choose the Best Database Software?

Most of the developers prefer to use a Database they’re familiar working with. However, as your application grows it is bound to face issues that are difficult to fix. Hence, it is very important to consider various aspects before choosing Database Software for your project. From sophistication to scalability, your Database option should complement the requirements of your application or project. Keep in mind the below-mentioned factors before zeroing in on a Database for your application.

  1. Be clear about your requirements. Keep a check on the speed, scalability requirements, data structures, and amount of data you’re working with. SQL Databases are perfectly suited to store and process structured datasets, whereas NoSQL Databases are best suited for semi-structured and unstructured data types.
  2. You’re already familiar with different types of Databases. Model your data to determine which type of Database (Relational, Columnar, Graph, etc) is relevant for your use case.
  3. The data stored in your Database should be well protected at all times. ACID-compliant Relational Databases are more secure when compared to Non-Relational Databases.
  4. Irrespective of the type of application/project, it’s always preferable to go with a Database Management System with multiple Database options to manage data.
  5. Make sure that your Database securely integrates with third-party tools and services within your project.
  6. Look for additional Databases which support added features like Data Pipeline processing, Searching, and Caching.

12 Best Databases

The 12 best databases available in the market are as follows:

1) Best Databases In Marketplace: MySQL

MySQL was launched in 1995 by Michael Widenius, Allan Larsson, and David Axmark. It is an Open-Source Relational Database Management System (RDBMS) based on the Structured Query Language (SQL), which is available under the GNU General Public license but also comes with proprietary licenses. According to Stack Overflow survey back in 2020, MySQL is used by 55.6% of the respondents, making it the most widely used database in the world.

It enables innovative Database Administrators and Software Developers to build and deploy the next-gen Web, Embedded, Mobile, and Cloud Software-as-a-Service (SaaS) / Platform-as-a-Service (PaaS) / Database-as-a-Service (DBaaS) applications on the latest development frameworks and hardware platforms.

MySQL is a highly scalable database system that possesses the ability to run on multiple platforms such as Linux, Windows, and Unix. Some of the key features of MySQL are as follows:

  • MySQL is extremely easy to deploy and manage.
  • It supports ACID (Atomicity, Consistency, Isolation, Durability), thereby making it the most reliable.
  • This Relational Database Management System (RDBMS) offers fast-loading utilities with different memory cache to maintain and administer Servers.
  • MySQL can be configured with any programming language but is used mainly with PHP.
  • It offers high-performance results without compromising essential functionalities.
  • It provides complete security for the data as it consists of solid Data Security layers. Only authorized users can access the database using encrypted passwords.

More information about MySQL can be found here.

2) Best Databases In Marketplace: PostgreSQL

Best Databases: PostgreSQL Logo

PostgreSQL is a free and Open-Source Object-Relational Database Management System (ORDBMS) that emphasizes extensibility and SQL compliance and was developed by Michael Ralph Stonebraker in 1996. It is compatible with several operating systems, including Windows, Linux, MacOSX, Unix, etc.

PostgreSQL houses numerous features such as Inheritance and Function Loading that make it one of the best databases available. These features are used to enhance the extensibility, reliability, and data integrity while handling data. It comes with various data types and robust feature sets that allow businesses to achieve their data handling objectives. The key features of PostgreSQL are as follows:

  • It houses numerous constraints that can ensure Data Integrity. These constraints include Primary Keys, Foreign Keys, Explicit Locks, Advisory Locks, Exclusion Constraints.
  • It supports various features of SQL such as Multi-Version Concurrency Control, SQL Sub-selects, complex SQL queries, Streaming Replication, etc.
  • It is compatible with multiple data types, including Structured, Primitives, Customizations, Geometry, and Document.
  • It is highly extensible in several phases like JSON/SQL path expressions and Stored procedures and functions.

More information about PostgreSQL can be found here.

3) Best Databases In Marketplace: Microsoft SQL Server

Microsoft SQL Server was developed by Microsoft Corporation in 1989. It is now considered to be an excellent Relational Database Management System (RDBMS) for both On-premise and Cloud environments. This enterprise-proven agile database has built-in intelligence that allows businesses to scale the performance, availability, and security seamlessly based on their requirements. It is available both on Windows and Linux platforms.

Microsoft SQL Server is identical to Sybase SQL Server 4.2. This is because their basic architecture process and Transact-SQL Procedural languages are similar. This database has several competitive features that secure it a unique place in the analytics industry. Some of these features are as follows:

  • Microsoft SQL Server and other Big Data tools can be used to build a superior shared Data Lake.
  • It allows users to gain insights by querying across their entire dataset without moving or replicating their data.
  • It comes with built-in features for Data Classification, Protection, and Monitoring as it identifies and provides alerts on suspicious activities, security gaps, and misconfigurations.
  • It supports Structured, Semi-structured, and Spatial data
  • It comes with custom-built graphical integration and allows users to create various designs, tables and view data without syntax.
  • It allows users to combine data from any source by harnessing an extensive connector library and new transformations in the Microsoft SQL Server Analysis Services (SSAS) Tabular Model.

More information about Microsoft SQL Server can be found here.

4) Best Databases In Marketplace: MongoDB

MongoDB is an Open-source Document-oriented Database that is used to store high-volume data and was founded in 2007 by Dwight Merriman, Eliot Horowitz, and Kevin Ryan. MongoDB is a scalable, flexible database platform that overcomes the relational database approach. It provides users an unparalleled level of flexibility by horizontal scaling and load balancing capacities.

MongoDB is suitable for hierarchical data storage and is almost 100 times faster than Relational Database Management System (RDBMS). This platform centers around the CAP theorem (Consistency, Availability, and Partition tolerance.)

MongoDB offers developers several out-of-the-box capabilities, irrespective of where it is published (privately on-site or in the public cloud). Some features are as follows:

  • It is highly scalable. Numerous companies across industries leverage MongoDB to create Clusters with more than 100 nodes and millions of documents within the database.
  • It offers high availability with replica sets.
  • It is very flexible and adaptable as it stores the data in the documents.
  • In case of hardware failure, it can run over multiple Servers, balancing the load or duplicating data to keep the system running.
  • The data model available within this database platform enables users to represent hierarchical relationships, store arrays, and other complex structures seamlessly.

More information about MongoDB can be found here.

5) Best Databases In Marketplace: Oracle

Oracle Database is a widely used Relational Database Management System (RDBMS) across industries. It is one of the most popular databases since it is considered to be a cost-optimizing and high-performance solution. It is the only converged Enterprise Relational Database present in the industry. Oracle Database supports Structured Query Language (SQL) to interact with the database. 

This multi-model Relational Database Management System (RDBMS) was primarily designed for Enterprise Grid Computing. After the success of its 19C database, Oracle Database 21C was released earlier this year that brings wide-ranging capabilities like Multi-workload Improvement with AutoML.

Oracle Database is among the most widely used databases in the industry as they support all data types involving Relational, Graph, Structured, and Unstructured information and is hence considered to be one of the best databases available in the market. The key features of Oracle Database are as follows:

  • It houses numerous features such as Real Application Clustering and Portability, making this Relational Database Management System (RDBMS) much more scalable during business growth.
  • High data availability is required for running real-time applications. Oracle offers a high-performance computing environment that is powerful enough to provide all-time data availability. It also ensures data remains available during unplanned downtimes. In downtimes, any database needs to recover quickly to provide high-data availability. Oracle is laden with comprehensive recovery features to bring out data from failures. During such times, the unaffected part of data remains good to use simultaneously, with the affected part being repaired within minutes to ensure the availability of data in that part as well.

More information about Oracle can be found here.

6) Best Databases In Marketplace: Remote Dictionary Server (Redis)

Developed by Salvatore Sanfilippo, Remote Dictionary Server (Redis) is an Open-source In-memory Key-value Database that supports multiple data structures. It is often used for Cache Management and speeding up Web Applications. It runs on POSIX systems such as Linux, MacOSX, and Solaris. Redis is popular in industries such as Gaming, Financial Services, IoT, etc. due to its ability to process millions of requests for real-time applications. It offers unmatched speed because it is an in-memory database and does not require disk or SSDs to store data.

The key features of Redis are as follows:

  • Redis offers superior speed with its enhanced caching and in-memory capabilities. 
  • It supports a wide range of data structures like strings, lists, hashes, bitmaps, HyperLogLogs, and sets.
  • It is compatible with programming languages such as Java, Python, PHP, C, C++, C#, etc.
  • Redis powers some of the top organizations in the most competitive industries like chat/messaging, gaming, media streaming, etc.
  • It supports mission-critical applications by offering easy access to data for training, building, and deploying applications for business operations like fraud detection.

More information about Remote Dictionary Server (Redis) can be found here.

7) Best Databases In Marketplace: Elasticsearch

Elasticsearch is an open-source full-text search engine-based Database that stores and indexes any type of data in JSON format. Elasticsearch is built on Lucene, an open-source Java Library used to search and store data. It’s a document-based search engine with multi-tenant capability and a REST API.

One of the major reasons behind the immense popularity of Elasticsearch is its scaling ability. It easily scales horizontally via automatic sharing and REST API. It also supports structured and schema-less data (JSON) to analyze Logging or Monitoring data.

More information about Elasticsearch can be found here.

8) Best Databases In Marketplace: Cassandra

Developed in 2008, Cassandra is an open core, distributed, wide column store and commonly used database. It offers high scalability which is very important for handling huge amounts of data in industries. On top of that, its Decentralized Database supports automatic Data Replication, as well as Multi-datacenter Replication.

More information about Cassandra can be found here.

9) Best Databases In Marketplace: MariaDB

MariaDB is a popular Relational Database Management System that is compatible with MySQL Protocol and Clients. MariaDB can easily replace the MySQL server without any coding requirements.

MariaDB supports columnar storage and has a Massively Parallel Distributed Data Architecture. MariaDB has a large community of users to discuss and solve your queries.

More information about MariaDB can be found here.

10) Best Databases In Marketplace: IBM DB2

Best Databases: IBM DB2

The newest version of IBM DB2 runs queries faster than ever.

IBM DB2 supports most of the Data Science languages and AI-dedicated capabilities required to manage complex data frameworks. It supports private as well as Cloud environments.

IBM DB2 is capable of running queries at faster speeds and offers easy installation to support massive amounts of data.

More information about IBM DB2 can be found here.

11) Best Databases In Marketplace: SQLite

SQLite is a small but fast open-source best SQL Database with an integrated Relational Database Management System (DBMS). Built upon a C-language Library, SQLite is capable of running SQL queries at faster speeds.

Developed in 2000, it’s a top database that offers a light and easy design. It requires no configuration and doesn’t even require a server or installation. It offers popular Database Management System Software functionalities to be used in Mobile Web Development such as React Native.

More information about SQLite can be found here.

12) Best Databases In Marketplace: Amazon DynamoDB

DynamoDB is a Non-Relational NoSQL Database offered by Amazon.com as part of the Amazon Web Services (AWS) portfolio. It is a fully managed, serverless Database for mobile apps that supports key-value and document data structures.

This Database program features built-in security and in-memory caching, as well as consistent latency. It is also capable of scaling up and down automatically while also backing up your data.

More information about DynamoDB can be found here.

What is the Easiest Database to Use?

After going through the list of best Databases, you, as a beginner, must be wondering which Database is the easiest to get started with. Well, there is no straightforward answer to this question. The easiest to use Database really depends on the use case and the problem you’re looking to solve.

You can find the implementation of Database Software Tools in pretty much every application. Microsoft SQL Server is used as the fundamental tool in universities for Web applications and software. SQLite, a powerful Relational Database Management System (RDBMS), is also very easy to learn and to practice simple queries.

It is very essential to become familiar with the basics of the most popular SQL Databases. After acing the Database essentials, you can easily perform complex operations on MySQL and Oracle without much hardship.


A few years ago, database selection was a more straightforward process. All one had to do was to choose a Relational Database for most of their requirements. However, in modern software development, the selection process has become more intrinsic. This article provided you with an in-depth understanding of the best databases available in the market.

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Most modern businesses today use multiple databases for their operations. This results in a complex situation since it can be a complicated task if a common analysis integrating data from all these databases has to be performed. A data integration solution has to be built first that can integrate all data from these databases and store it in a centralized location. Businesses can either choose to make their own data integration solutions or use existing platforms like Hevo Data.

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