December 17, 2020
Over the past 10 years we've seen a proliferation of non-relational database systems, usually based around a distributed, fault-tolerant architecture with flexible consistency models—databases such as DynamoDB, Cassandra, and Hadoop. However, in recent years, a new set of cloud-native, SQL-enabled databases have established significant traction.
IBM Security has announced new technology initiatives leveraging Amazon Web Services (AWS), designed to help clients simplify and extend their security visibility across AWS and hybrid cloud environments. The projects include integrations with AWS security services, quick start deployment for key IBM Security technologies, as well as expert consulting and managed security services support.
Oracle has announced the availability of the Oracle MySQL Database Service with integrated MySQL Analytics Engine, optimized for Oracle Cloud Infrastructure (OCI). The new service will enable OCI customers to run sophisticated analytics directly against their operational MySQL databases without requiring complex data integration with a separate analytics database.
COVID-19 is accelerating the drive toward SaaS apps and cloud adoption, and many companies are now adopting a hybrid cloud approach. Most are going about their transformation wisely, with experienced personnel who are measured in their approach. But we've all heard of companies going dark when a cloud provider did the unthinkable and went down: Everything was great until it wasn't.
Think About It
When was the last time you ran across a single-vendor data shop? With the proliferation of multiple database engines for multiple purposes, enterprises now take advantage of a range of database types—not to mention an increasing abundance of cloud services. The difficulty is managing these diverse environments—security, provisioning, and access—in a centralized fashion.