Top 3 Microsoft SQL Server alternatives

Last updated: March 25, 2015
Microsoft SQL Server
SQL Server enables customers to build mission-critical applications and Big Data solutions using high-performance, in-memory technology across OLTP, data warehousing, business intelligence and analytics workloads without having to buy expensive add-ons or high-end appliances. SQL Server uses a common set of tools to deploy and manage databases both on-premises and in the cloud, which makes it easier for customers to take advantage of the cloud with existing skills.
The best Microsoft SQL Server alternatives:


Oracle Database


Oracle Database introduces a new multitenant architecture that makes it easy to consolidate many databases quickly and manage them as a cloud service. It also includes in-memory data processing capabilities delivering breakthrough analytical performance. Additional database innovations deliver new levels of efficiency, performance, security, and availability. Oracle Database enables customers to plug into the cloud and power the real-time enterprise.

Hadoop


The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Azure HDInsight


HDInsight is a Hadoop distribution powered by the cloud. This means HDInsight was architected to handle any amount of data, scaling from terabytes to petabytes on demand. You can spin up any number of nodes at anytime. We charge only for the compute and storage you actually use.