Teradata expands database, consolidates analytics across clouds
Teradata on Monday revealed its plans to break down the borders between multi-system, multi-technology analytics environments.
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The efforts center around two initiatives -- Borderless Analytics and Teradata Everywhere -- that Teradata says will create a single analytic organism on both public and private clouds.
The Teradata Everywhere initiative allows Teradata's MPP analytic database to run on Amazon Web Services and Microsoft Azure, in addition to Teradata IntelliFlex, VMware, and the Teradata Managed Cloud.
The Teradata Database was already available on the AWS Marketplace in about a dozen geographic regions, but it's now available in all regions except AWS GovCloud, South America, and China. It also has a larger parallel processing configuration, scalable up to 32 nodes.
Today's news marks the first time the Teradata Database will be available on Microsoft Azure. Once available on the Azure Marketplace, businesses can opt for an on-demand or pay-as-you-go basis. It's slated for availability in all regions except US Gov Iowa, West India, and China.
Teradata is also improving on core features of the Teradata Database in order to boost performance and flexibility across deployment options. In addition, Teradata's Database Adaptive Optimizer feature was updated with in-stream query re-planning, which allows it to automatically adjust to the host platform for efficient querying and system utilization.
Meanwhile, the Borderless Analytics initiative -- which works in tandem with Teradata Everywhere -- extends the reach of Teradata QueryGrid and Teradata Unity, allowing enterprises to manage multi-system environments while offering a consistent business user experience. It also enables cross-technology analytics, the company said.
"Borderless Analytics is about infrastructure agility and unlocking new use cases," said Oliver Ratzesberger, EVP and chief product offer at Teradata. "We want to empower business users to continue driving valuable business insights using their existing tools across the data they need, no matter where it lives."