At its partner conference this week, Teradata is announcing three key new offerings to support customers choosing hybrid environments spanning cloud and on-premise, and relational and big data technologies.
The company is launching Teradata Everywhere, which brings Teradata’s MPP analytic database to multiple public cloud, managed cloud, and on-premises environments. Teradata Everywhere works in tandem with Borderless Analytics, a new capability targeted at helping organizations to manage multi-system environments while offering a consistent business user experience.
Teradata is also announcing that, in addition to the U.S., the Teradata Managed Cloud will be available from data center infrastructure hosted in Germany to serve the European market. Monitored and overseen by Teradata staff, Teradata Managed Cloud availability in Germany is targeted at Q3, 2016.
Teradata Everywhere makes Teradata’s database available with the same code base running MPP across on-premise and public and managed cloud environments, including Teradata IntelliFlex, VMware, the Teradata Managed Cloud, as well as Amazon Web Services and Microsoft Azure. “We have done all the hard work to make the database exactly the same between environments,” said Imad Birouty, director, technical product marketing, Teradata.
To deliver optimal performance and flexibility across these deployment options, Teradata is enhancing core features of the Teradata Database. The newest MAPS feature will provide elasticity to expand or shrink a Teradata data warehouse to scale alongside changing business needs, as well as provide higher concurrency and more consistent performance of tactical queries. In addition, Teradata’s Database’s Adaptive Optimizer will automatically adjust to its host environment to provide the most efficient query plans, fastest query execution, and the most efficient system utilization.
According to Birouty, with Teradata Everywhere the company seeks to give customers the flexibility to implement a hybrid architecture with a common database so they can shift of workloads between environments as business needs evolve in support of changing deployment strategies and economic needs.
“Today, companies have more options; they have public cloud, managed cloud, VMware, and they want to consume and use their analytics systems and their warehouse systems on their own terms,” said Birouty. “Some companies want to get out of the data center business entirely and just put everything in the cloud and others want full control in their data center, while others want a hybrid environment. We are seeing a lot of use cases for hybrid,” he noted. “And, if you have a hybrid environment or are even just shifting back and forth between the cloud and on-premise, you have to have compatibility. You don’t want to rewrite your applications or queries because the database in the cloud operates differently.”
The new Borderless Analytics also is targeted at furthering support for hybrid cloud environments. Supported by the latest versions of the Teradata QueryGrid for analytics across heterogeneous data stores, and Teradata Unity, for automated orchestration of a Teradata multi-system environment, Borderless Analytics is directed at helping organizations manage multi-system environments and shift workloads to optimize resource utilization for cloud bursting, disaster recovery, and self-service analytics requirements. It also enables cross-technology analytics, giving users access to heterogeneous analytic processing engines and data.
“Customers want to concentrate on business projects not science projects,” said Birouty. “With Borderless Analytics we are enabling systems to work together seamlessly whether it is Teradata Data Warehouse, a Hadoop system, or an Oracle system.”
Some of the new capabilities are available now while others will continue to be released through the first half of 2017. Visit Teradata’s website at www.teradata.com for more information.