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ATLANTA — At its Partners 2016 conference, Teradata Corp. on Monday unveiled its hybrid cloud management and “borderless analytics” strategy for enterprises — a move the company hopes will enable it to compete with vendors promoting similar offerings.

The Ohio-based enterprise solutions company is operating within a competitive landscape, both from companies offering commercial cloud solutions and open source data analytics tools including Hadoop. Recognizing that organizations are migrating to hybrid cloud architectures, the company’s new Teradata Everywhere framework delivers massively parallel processing (MPP) analytic database tools to multiple public clouds, managed cloud, and on-premises environments.

Companies need their data and analytic environment to be agile, multi-faceted, and flexible, said Teradata executive vice president and chief product officer Oliver Ratzesberger. “Teradata Everywhere means that the exact same Teradata Database can be deployed on-premises and in the cloud….Companies can concentrate their energy on running analytics to improve their business rather than engineering compatibility between their environments.”

Teradata Everywhere ensures database compatibility across deployment modes and will support Microsoft Azure, Amazon Web Services (AWS), VMware cloud and Teradata’s own managed cloud offering; According to the company, the analytics framework delivers the flexibility to implement a hybrid architecture with a common database that enables shifting of workloads between environments as business needs evolve, supporting a company’s changing deployment strategy and economic needs.

In addition, the company revealed its Teradata Database MAPS architecture to deliver high data availability across the analytical ecosystem. Claiming a 90 per cent reduction in downtime when a system is being expanded, the MAPS feature eliminates data redistribution time following a system expansion by performing table-at-a-time online reconfiguration, selectively redistributing tables at the most convenient time.

According to research firm IDC, enterprise spending on public cloud platforms is projected to grow 19.4 per cent from 2015 to 2019. According to IDC analyst Dan Vesset, the ability of an organization to manage, analyze, and derive value from data will increasingly depend on optimal data management: “(This) can be enhanced by having platform choices – ones that a business can quickly adapt to changing business requirements.”

Borderless Analytics

According to Teradata, its new “borderless analytics” framework leverages its Teradata QueryGrid software for analytics across heterogeneous, multi-system data stores, and Teradata Unity software for automated and seamless orchestration of a Teradata multi-system environment.

The borderless analytics approach enables enterprise admins the ability to enterprises the ability to easily manage multi-system analytic environments and shift workloads to optimize resource utilization, while ensuring a more seamless and transparent business user experience.

The framework effectively enables admins to quickly launch queries against databases as if they represented one logical entity — the analytics foundation sees cloud computing as an extension of on-premises systems to facilitate uses cases around cloud bursting and disaster recovery.

“We want to empower business users to continue driving valuable business insights using their existing tools to leverage the data they need, no matter where it lives. We want data scientists and ‘power users’ to have increased control of how and where they run their advanced analytics and predictive algorithms. And, we want DBAs and system administrators to manage their multiple systems as one,” said Ratzesberger.

Updates to Teradata Database

The company also announced that its Teradata Database — currently available on AWS Marketplace — is now available in a massively parallel processing configuration and is scalable up to 32 nodes.

Featuring and one-click deployment automation via software ecosystem launch templates, the updated Teradata Database on AWS includes powerful performance, reliability, and convenience updates including: automatic node failure recovery; backup, restore, and querying of data in Amazon Simple Storage Service (S3).

The company also released that Teradata Database will soon be available on the Microsoft Azure cloud platform on an on-demand or pay-as-you-go basis. Tentatively available in Q4, Teradata Database on Azure will offer full features and a massively parallel processing configuration, scalable to up to 32 nodes, according to the company.



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