Big Data

Top 10 Free Database Software

Top 10 Free Database Software

A Database is a collection of data that supports the storage and manipulation of information. A Database Management System (DBMS) manages it. To make data processing and querying easier, databases are typically structured in rows and columns. Here is a list of top Database Software.

Top 10 Free Database Software

Below is a list of the top Database Software, including popular features and links to download. This comparison database list includes open-source tools, which may include freemium features from the Top Free database.

1. SQLite

SQLite is an open-source embedded relational database management software, that was created in 2000. It’s a database that doesn’t require any server configuration or installation. It is simple, but it has many of the most popular features of database management software.

  • Platform: Blackberry Symbian, Android, MeeGo, and WebOS.
  • Languages: C, C#, C++, Java, PHP, Python, Ruby, etc.
  • Cloud Version: Yes

Features:

  • SQLite is lighter than other database management systems such as SQL Server or Oracle.
  • It comes with an in-memory memory library that you can access and use immediately without the need for installation.
  • To store a database, you don’t need a dedicated server. The database is saved to the hard drive of a computer.

Also read: What Is Enterprise Data Warehouse A Short Guide?

2. Microsoft SQL

SQL Server RDBMS is developed by Microsoft. SQL Server supports ANSI SQL. This is the standard SQL (Structured Query Language). SQL Server also supports T-SQL (Transact-SQL) as a SQL language implementation.

  • Platform: Ubuntu, SUSE Linux Enterprise Server, and Red Hat Enterprise Linux.
  • Languages: C++, Java and C#
  • Cloud Version: Yes

Features:

  • It combines the power of SQL Server with Spark to integrate structured and unstructured data.
  • This tool provides performance, scalability, and availability for mission-critical, intelligent applications, data warehouses, and data lakes.
  • It has advanced security features that protect your data.
  • Power BI reports are rich and interactive, to help you make better decisions faster.

3. Performance Analyzer

SolarWinds Database performance analyzer is a tool that monitors and analyzes database administration’s performance. It can also identify bottlenecks and lower the overall cost of database operations.

Features:

  • Monitor server performance, capacity limitations, and queries
  • Expert SQL query tuning and database experts
  • Find the root cause of complex problems quickly
  • Real-time database problem identification
  • Support for cross-vendor databases from one interface
  • Monitored databases have low overhead
  • Analysis of Deadlock and Blocking
  • Analyze all factors that impact SQL Server execution
  • Monitors databases in hybrid environments: on-premises, virtualized and in the cloud
  • Apps can be responded to faster if queries are proactively tuned.

4. MySQL

MySQL, an open-source relational database, can be used on many platforms, including Windows, Linux, and Mac OS.

  • Platform: Linux and Windows.
  • Languages: C, Java and SQL, C++, Perl Python, Tcl, PHP
  • Cloud Version: Yes

Features:

  • This open-source database tool offers flexibility and scalability
  • This SQL database tool is free and has web and strength.
  • It delivers high performance
  • This database software is free for Windows 10 and offers robust transactional support

5. PostgreSQL

PostgreSQL is an open-source database management system for enterprises and is a great choice. It’s one of the most popular free databases, and it supports both relational SQL as well as non-relational JSON queries. It has been developed by a large community of experienced developers, who have contributed greatly to making it reliable Database management software.

  • Platform: Mac OS, Windows, and Linux.
  • Languages: PL/Tcl and PL/pgSQL PL/Python and PL/Perl
  • Cloud Version: No.

Features:

  • Compatible with all major languages and middleware
  • High availability and standby server
  • The tool is well-suited for server-side programming.
  • Log-based and trigger-based replication SSL.
  • It features a highly sophisticated locking mechanism.
  • Multi-version concurrency control support
  • It supports client-server network architecture
  • This tool is object-oriented and ANSI SQL2008 compatible
  • PostgreSQL can be linked with NoSQL data stores, which act as a hub for polyglot databases.

6. MongoDB

MongoDB, a NoSQL document-oriented database that can store large volumes of data, is used for data storage. It is an open-source database that was discovered in the mid-2000s. It is one of the best free databases that fall under the NoSQL database category.

  • Platform: Cross-platform
  • Languages: C#, C, Java, C++, Perl, Scala, Ruby, etc.
  • Cloud Version: Yes

Features:

  • Automated scaling provision and management of complex, highly-available multi-node clusters easily using API calls
  • This tool allows you to create global clusters.
  • It is easy to retrieve data whenever needed.
  • It provides visualization, monitor, alert, and alert on over 80 metrics that track the health of your cluster or
  • integrate with third-party monitoring solutions.
  • It has an impressive query language
  • It stores tables in a relational database using rich JSON documents.
  • It also provides MongoDB Atlas which is a global cloud databank.

7. OrientDB

OrientDB is an open source NoSQL multi-model NoSQL database that allows organizations to harness the power of graph databases, without having to deploy multiple systems to manage other data types. This allows you to improve performance and security, while also supporting scalability.

  • Platform: Linux and 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 is the best state for fast and efficient upgrades
  • This tool was focused on performance and Scalability.
  • This cloud database is free and offers an enhanced query planner.

Also read: Top 10 Cloud Data Warehouse Solution Platforms

8. MariaDB

MariaDB is a fork in the MySQL database management software. It was created by the original developers. This DBMS tool allows data processing for small and large enterprise tasks.

  • Platform: Windows and Linux.
  • Languages: C#, Java, C++, Python, etc.
  • Cloud Version: Yes

Features:

  • It is licensed under GPL, BSD, and LGPL licenses.
  • It includes many storage engines, including high-performance ones that can integrate with other relational database management systems.
  • It’s one of the most popular open-source database software that provides Galera cluster technology.
  • MariaDB is compatible with many operating systems and supports many programming languages.

9. Oracle

Oracle is self-repairing and secure, which makes it easy to manage data without manual intervention. It’s a highly accessible, intelligent, secure, and highly available cloud database that will help you grow your business.

  • Platform: Windows, and Linux
  • Languages: C++ and COBOL, C, Java, and Visual Basic.
  • Cloud Version: Yes

Features:

  • Oracle Cloud is optimized to run high-performance database workloads, streaming workloads, and Hyperscale big data.
  • It is easy to migrate to the Cloud.
  • This SQL software is free and allows you to use Oracle cloud in your data center in any way that suits you.

10. Cassandra

Cassandra is a free tool that allows you to manage large amounts of data on a variety of servers and is available for download. This tool supports replicating across multiple data centers.

  • Platform: Cross-platform
  • Languages: SQL, Go C++, Python and Node JS
  • Cloud Version: Yes

Features:

  • To provide fault tolerance, data is copied to multiple nodes.
  • As every node is separate, there are no network bottlenecks.
  • This tool allows you to request services and contracts from third parties.
  • You can choose from synchronous or non-synchronous replication to perform the update.
Written by
Aiden Nathan

Aiden Nathan is vice growth manager of The Tech Trend. He is passionate about the applying cutting edge technology to operate the built environment more sustainably.

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