Databases are hidden driving forces behind IT systems of modern companies. They have become an essential commodity which contains vital business intelligence data and conducts numerous transactions daily. Tech giants supply the market with many products that enable enterprises to get the most value out of present IT skills and assets. The choice is highly dependent on the company’s strategy and business goals, but here are the best of the best.
One of the most popular solutions nowadays, Oracle database is an integral part of the Fusion Applications platform. There are several versions available, the latest being 12c. The Standard Edition features basic functions and is widely used on servers running up to four processors. The presence of more CPUs often requires an upgrade to Enterprise license, which is more feature-packed, especially in the areas of security and performance.
Much like the Oracle, there are many flavors of the IBM’s suite. They can be used for both mainframes and mobile devices, and have different licensing arrangements. Users are able to get into shadow tables, advanced compression, JSON, and temporal capabilities. It is worth mentioning the BLU acceleration,the next gen IBM’s technology, which possesses a column store and in-memory capabilities.
A beloved Enterprise Edition (DB2 DWE) is tailored to online transactions processing and business intelligence functions. One can utilize it for data extraction, mining, loading, and transformation. Moreover, taking advantage of online analytical processing and inline analytics helps organizations gain an edge in the tech industry.
Microsoft SQL Server
One of the strong points of this Server and information platform is native integration with Windows Server Software. In works only on Windows, but with the support for a wide array of versions and additions like Azure, Microsoft’s could integration .The tech framework suits the mixed workloads in areas of development, security and business intelligence.
Major users like London Underground have integrated project management applications into SQL servers that are handling hundreds of simultaneous operations. Furthermore, aseamless integration ofother tools like business intelligence software enhances collaboration, social intelligence as well as data delivery. Their other benefits include advanced analytics,deeper insights in big data,andmobile BI.
Apart from the big three, there are other solid systems like MongoDB. It employs the NoSQL innovations of flexibility, scalability and performance, while using the foundations of relational databases. Written in C++, this is an open source, schema-free software with some intriguing capabilities. This means that there are no document definition requirements: MongoDB will hold any document you please.
Ease of use is another ace up MongoDB’s sleeve and in shows when installing, indexing and using programming languages. Many small businesses and startups turn to this platform because it can evolve hand in hand with their operations. You do not need a whole division of DBAs or to spend a fortune on the hardware. What is more, Mongo supports sharing and horizontal scalability, making reads faster.
Last, but not the least is an open source, object-relational system Postgre SQL. It is a unified database server with one storage engine, and its nature allows it to be easily adopted by end-users and tech suppliers. The performance is satisfactory, with options to speed up certain operations. Quick switching of operations between the master and the replica database also comes in handy.
Stored procedures and sub-queries provide stability, and there is support for JSON. Developers can also make good use of the background workers that help in automating and executing operations of applications. There are some other developer-friendly options like automatically updated viewswhich makePostgre a welcome addition to the DMS market mix.
The age of information
In a digital era, data warehouses are a centerpiece of IT infrastructure, and the focus is on mixed workloads, functionality and strong performance. The data management landscape is still dominated by the holy trinity: Oracle, IBM DB2 and Microsoft SQL. However, these front-runners can be expensive to license and support, which is why some enterprises opt for alternatives. IT departments are under pressure to take their productiveness to the next level, while NoSQL developments have brought forth a diverse group of other peculiar databases.