A Database is a systematic collection of data which supports storage and manipulation of information. It is usually managed by a Database Management System (DBMS). Data within a database is typically modeled in rows and columns in tables to make data querying and processing more efficient.
Following is a handpicked list of Top Free database, with popular features and download links. This comparison list contains open-source tools that may have freemium features.

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1) MySQL

MySQL is an open-source relational database which runs on a number of different platforms such as Windows, Linux, and Mac OS, etc.
Platform: Linux, Windows, and Mac.
Languages: C, Java, SQL, C++, Perl, Python, Tcl, and PHP.
Cloud Version: Yes

Features:

The tool provides Scalability and Flexibility
The tool has web and data warehouse strengths
It provides high Performance
It has Robust Transactional Support

Verdict: MySQL can be used for packaged software, and business-critical systems and high-volume websites.

Link:https://www.mysql.com/

2) PostgreSQL

PostgreSQL is an enterprise-class open source database management system. It supports both SQL for relational and JSON for non-relational queries. It is backed by an experienced community of developers who have made a tremendous contribution to make it highly reliable Database management software.

Platform: Mac, Windows, and Linux.

Languages: PL/Tcl, PL/pgSQL, PL/Python, and PL/Perl.

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Cloud Version: No.

Features:

Compatible with various platforms using all major languages and middleware
Standby server and high availability
The tool has mature server-side programming Functionality
Log-based and trigger-based replication SSL.
It offers a most sophisticated locking mechanism.
Support for multi-version concurrency control
It provides support for client-server network architecture
The tool is Object-oriented and ANSI-SQL2008 compatible
PostgreSQL allows linking with other data stores like NoSQL, which act as a federated hub for polyglot databases.

Verdict: PostgreSQL enables you to create custom data types and range of query methods. You can run a store procedure in different programming languages.

Link:https://www.postgresql.org/

3) MongoDB

MongoDB is a document-oriented NoSQL database used for high volume data storage. It is a database which came into light around the mid-2000s. It falls under the category of a NoSQL database.

Platform: Cross-platform

Languages: C#, C, Java, C++, Perl, Scala, Ruby, etc.

Cloud Version: Yes

Features:

Fully Automated scale provision, and manage complex, highly available, multi-node clusters with easily with API calls.
This tool allows you to create globally distributed clusters.
Easy to restore data when needed.
It offers visualization, monitor, and alert on more than 80 metrics which track your cluster's health or integrate with third-party monitoring solutions.
The tool has a powerful query language
It uses rich JSON documents to store tables in a relational database.
It provides MongoDB Atlas, which is a global cloud database.

Verdict: MongoDB allows you to validate the document. It is not suitable for those applications having complex transactions.

Link:https://www.mongodb.com/

4) OrientDB

OrientDB is an open-source NoSQL multi-model database which helps organizations to unlock the power of graph databases without deploying multiple systems to handle other data types. This helps you to increase performance and security while supporting scalability.

Platform: Linux, Mac OS X, Windows, Solaris, and HP-UX

Languages: Java, PHP, Nodejs, .NET, Python, C, JavaScript, Ruby, Scala, Elixir, Android, Perl.

Cloud Version: Yes

Features:

Unified Multi-Model API – for quicker deployment
TinkerPop 3 for the state of fast and effective upgrades.
The tool focused on Scalability and performance.
Offers enhanced query planner.

Verdict: OrientDB has the ability to do multi-master replication, shared data using clusters, and automate distributed queries and transactions.

Link:https://orientdb.com/

5) MariaDB

MariaDB is a fork of the MySQL database management system. It is created by its original developers. This DBMS tool provides data processing capabilities for both small and enterprise tasks.

Platform: Windows, Linux, and Mac.

Languages: C#, Java, C++, Python, etc.

Cloud Version: Yes

Features:

It operates under GPL, BSD or LGPL licenses.
It comes with many storage engines, including the high-performance ones that can be integrated with other relational database management systems.
It provides the Galera cluster technology.
MariaDB can run on different operating systems, and it supports numerous programming languages.

Verdict: MariaDB is an alternate software to MySQL. It provides high scalability through easy integration.

Link:https://mariadb.org/

6) SQLite

SQLite is an open-source, embedded, relational database management system, designed circa 2000. It is a database, with zero configuration, no requirements of a server or installation. Despite its simplicity, it is laden with popular features of database management systems.

Platform: Blackberry, Symbian, Maemo, Android, MeeGo, WebOS, NetBSD, FreeBSD, illumos, Solaris 10, Windows, and Tizen.

Languages: C, C#, C++, Java, PHP, Python, Ruby, etc.

Cloud Version: Yes

Features:

SQLite is very lightweight compared to other database management systems like SQL Server, or Oracle.
It has an in-memory library that you can call and use directly without installation or configuration.
You do not require any dedicated server to store database. The database is stored in the hard disk of a computer.

Free Patient Management Software For Mac