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Teradata’s 1,000 Node Check Operationalizes Analytics at Scale


Feb 10, 2022 | SAN DIEGO

Single system scale check accomplished on Amazon Net Companies, Inc. (AWS) is among the largest scale analytics assessments ever undertaken

Teradata (NYSE: TDC) at present introduced the outcomes of one of many largest-scale cloud analytic assessments ever undertaken within the business. Its success demonstrates that enterprise clients can run their complicated analytic workloads on a single system within the cloud at unprecedented scale.

Trendy information platforms in international 3,000 organizations usually help tens of hundreds of customers and hundreds of mission-critical enterprise functions. This exercise stage drives upwards of 100 million queries-per-day, executed towards petabytes of repeatedly up to date information.

“Because the bodily world continues to be digitized and the digital world expands, within the subsequent 5 years, the World DataSphere or IDC’s account of information created and replicated will attain 16.5 Exabytes. At this time, lower than half of that information is being analyzed and a tiny fraction of it’s being utilized in AI/ML workloads,” stated Dan Vesset, Group VP, Analytics and Info Administration at IDC.

“The persevering with proliferation of information, the accelerated adoption of AI/ML, IoT and 5G applied sciences, and a cultural shift towards data-driven resolution making proceed to drive demand for extremely scalable information and analytics expertise and companies. As this demand will increase, so will the workload quantity of the world’s most complicated organizations as they proceed to derive worth and aggressive differentiation from their superior analytics and predictive modeling capabilities,” added Vesset.

Enterprises of the long run will contemplate analytics-driven choices important to their success. Whether or not it’s utilizing predictive upkeep to make sure life-saving MRI scanners keep operational, or precisely monitoring and forecasting the supply of necessary packages, dependable and scalable analytics are crucial to the day-to-day operations of Teradata’s clients. Organizations depend on these options to optimize their analytics within the cloud with elevated effectivity and suppleness.

With the success of its latest scale check, Teradata proved that it may well efficiently operationalize analytics at scale (1) on a single system of greater than 1,000 nodes with (2) 1,023 energetic customers submitting hundreds of concurrent queries, (3) utilizing a various set of combined workloads, (4) and with no system downtime or outages.

Gartner® lately named Teradata as a Chief within the 2021 Gartner Magic Quadrant™ for Cloud Database Administration Programs report and Teradata Vantage ranked highest in all of the analytical use circumstances in 2021 Gartner Essential Capabilities for Cloud Database Administration Programs for Analytical Use Circumstances, together with rating highest within the Knowledge Lake Use Case.

“As crucial analytic workloads more and more transfer to the cloud, we acknowledge the necessity to present our largest enterprise clients with a single system to handle all of their complicated analytics. Our options ship simpler automation, manageability and cost-efficiencies throughout their whole analytic ecosystem. Extending ease of administration past scalability boundaries demonstrates that clients don’t should commerce the complexity related to managing a number of cases for efficiency at scale,” stated Hillary Ashton, Chief Product Officer at Teradata. “We’ve confirmed the pliability of our cloud expertise to reliably ship complicated analytics at scale on an built-in information basis.”

Teradata’s Innovation Lab led the execution of the cloud scale check on AWS. The objective was to focus on the capabilities of Teradata’s future cloud structure by pushing the bounds of what many individuals contemplate potential within the cloud. Teradata’s analytic information platform featured multi-compute clusters, automated elasticity, low-cost object storage and push button provisioning.

“We’re thrilled to see the progress Teradata has made,” stated Phil Cheetham, VP Occasion Platforms, EC2, at AWS. “This scale check is among the largest single system assessments ever run on AWS, and it displays the energy of the collaboration between our corporations and the capabilities of our applied sciences when used collectively. We’re excited to see how Teradata clients profit from segregating workloads in a single system within the cloud.”

AWS Scale Check Particulars

This single system check was executed over an prolonged interval of a number of weeks on a distributed system consisting of over 1,000 servers with zero system downtime. It ran combined workloads — each operational and DSS — one thing Teradata is uniquely differentiated to do with its strong workload administration capabilities that give the platform a solution to segregate workloads inside a single system within the cloud.

Why executing on a single system issues

Executing on a single system delivers the bottom value within the cloud, whereas enabling:

  1. much less information motion,
  2. much less duplication of labor,
  3. simpler automation,
  4. simpler observability,
  5. higher useful resource utilization and
  6. simpler manageability.

 

What this implies for Teradata clients

This scale check demonstrates the structure flexibility that enterprises demand, along with the next capabilities that Teradata clients will quickly be capable of leverage within the cloud:

  • Multi-cluster: Flexibility to deploy massive clusters leveraging Teradata’s business main workload administration useful resource optimization capabilities for the bottom complete value of possession, in addition to devoted compute to enterprise customers who wish to leverage the enterprise atmosphere whereas sustaining isolation from crucial manufacturing workloads.
  • Elastic Scaling: A single tenant can begin small and auto-scale, primarily based on coverage, to higher than 1,000 nodes, with zero down time.
  • Low-Price Object Storage: Teradata’s Native Object Storage strategies present enterprise worth efficiency at scale.
  • Hundreds of concurrent queries: Highest variety of concurrent queries on a Teradata cloud platform, with 1,023 energetic consumer periods.
  • Resiliency: No outages within the face of incidental {hardware} node failures.
Disclaimer: 

Gartner, Magic Quadrant for Cloud Database Administration Programs, Henry Cook dinner, Merv Adrian, Rick Greenwald, Adam Ronthal, Philip Russom, 14 December 2021

Gartner, Essential Capabilities for Cloud Database Administration Programs for Analytical Use Circumstances, Rick Greenwald, Merv Adrian, Adam Ronthal, Philip Russom, Henry Cook dinner, 14 December 2021

Gartner and Magic Quadrant are registered logos of Gartner, Inc. and/or its associates within the U.S. and internationally and is used herein with permission. All rights reserved.

Gartner doesn’t endorse any vendor, services or products depicted in its analysis publications, and doesn’t advise expertise customers to pick out solely these distributors with the very best rankings or different designation. Gartner analysis publications include the opinions of Gartner’s analysis group and shouldn’t be construed as statements of reality. Gartner disclaims all warranties, expressed or implied, with respect to this analysis, together with any warranties of merchantability or health for a selected goal.



Teradata is the linked multi-cloud information platform for enterprise analytics firm. Our enterprise analytics remedy enterprise challenges from begin to scale. Solely Teradata offers you the pliability to deal with the huge and combined information workloads of the long run, at present. Be taught extra at Teradata.com.


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