6 Best Companies in the SQL Space

These days, more and more businesses are turning to the SQL space for products like relational databases and database performance monitoring tools. But which SQL companies are the best? Here’s the top six. 


Microsoft’s SQL Server is one of the most highly-rated and popular relational databases out there. It supports most Windows and Linux operating systems. Every time there is a new version of Microsoft SQL Server, you will find a number of improvements and additional features. The latest version includes fine-grained locking, referential integrity, and multi-version concurrency control. The product also supports access via both graphical user interfaces and SQL queries. Some of Microsoft SQL Server’s best features are its stability, availability, and query language support. 


SentryOne is a leading provider of data-ops solutions and database performance monitoring. The company’s most popular product in the SQL space is an SQL server performance monitoring tool called SQL Sentry. With more than 100 alerting conditions, SentryOne’s SQL Sentry gives you the level of detail you need to locate and fix SQL-server performance problems. With SQL Sentry, you can monitor, diagnose, and optimize your whole database environment, and acquire accurate, detailed, and actionable metrics so you can quickly address database issues. It is also great for identifying SQL server queries and procedures that can cause performance bottlenecks. At the end of the day, SQL Sentry keeps your databases running continuously at peak performance. 

PostgreSQL Global Development Group 

PostgreSQL Global Development Group is the company behind the popular PostgreSQL. The commonly-used relational database system supports macOS, Windows, and many Linux distributions. First released in 1996, PostgreSQL delivers atomicity, consistency, isolation, and durability. It includes tools for full-text search, common table expressions, sub-selection, and embedded SQL implementation. PostgreSQL is a powerful database manager that is easy to install. It is also customizable, scalable, and has a very intuitive graphical interface. 


Amazon provides an excellent cloud-based relational database service. Amazon RDS is designed for simple scaling and quick set up. It has supported MySQL since 2009. Developers can use existing databases, or they can build new relational databases by using Amazon Aurora. Amazon RDS includes tools for cloud budgeting, monitoring, and security. Its best features are its availability, backup, and storage. 

SolarWinds Inc. 

The company SolarWinds Inc. develops software for businesses to assist with the management of their systems, networks, and IT infrastructures. SolarWinds provides one of the best SQL server monitoring tools. With the SolarWinds Database Performance Analyzer, you can monitor cross-platform database performance, for both on-premises and cloud-based databases. The Database Performance Analyzer uses machine learning, so it gets smarter over time to help you detect anomalies and identify bottlenecks that are slowing down your applications. 

Oracle Corporation 

Oracle Corporation, formerly known as Sun Microsystems, owns the excellent relational database MySQL. Open-source and enterprise versions are available. The latter comes particularly recommended because it includes a variety of fantastic extensions and plugins that enable additional functionality. MySQL’s most popular features are its query language support, availability, and storage capacity. MySQL is an extremely intuitive database, and it is easy to operate. There is also a lot of support and troubleshooting tools available online. 

Another product from Oracle Corporation is the Oracle Database 12c. Oracle DB was first launched way back in 1979. The 12c version is the twelfth and latest edition. It supports macOS, Windows, and Linux operating systems, and it comes with server and data management automation and various proprietary tools for management, reports, analytics, and security. Oracle Database 12c is ideal for small, middle, large, or vast databases.

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