Teradata’s 1,000 Node Take a look at Operationalizes Analytics at Scale


Feb 10, 2022 | SAN DIEGO

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

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

Trendy knowledge platforms in international 3,000 organizations typically assist tens of hundreds of customers and hundreds of mission-critical enterprise purposes. This exercise degree drives upwards of 100 million queries-per-day, executed in opposition to petabytes of constantly up to date knowledge.

“Because the bodily world continues to be digitized and the digital world expands, within the subsequent 5 years, the International DataSphere or IDC’s account of knowledge created and replicated will attain 16.5 Exabytes. At this time, lower than half of that knowledge 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 knowledge, 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 knowledge and analytics know-how and providers. 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 longer term will think about 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 essential packages, dependable and scalable analytics are important 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 adaptability.

With the success of its latest scale check, Teradata proved that it may 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 blended workloads, (4) and with no system downtime or outages.

Gartner® just 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 instances in 2021 Gartner Important Capabilities for Cloud Database Administration Programs for Analytical Use Circumstances, together with rating highest within the Knowledge Lake Use Case.

“As important 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 complete 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 know-how to reliably ship complicated analytics at scale on an built-in knowledge basis.”

Teradata’s Innovation Lab led the execution of the cloud scale check on AWS. The purpose was to focus on the capabilities of Teradata’s future cloud structure by pushing the boundaries of what many individuals think about attainable within the cloud. Teradata’s analytic knowledge 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 exams ever run on AWS, and it displays the energy of the collaboration between our firms 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 Take a look at 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 blended workloads — each operational and DSS — one thing Teradata is uniquely differentiated to do with its sturdy workload administration capabilities that give the platform a method 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 knowledge 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 giant clusters leveraging Teradata’s trade 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 surroundings whereas sustaining isolation from important manufacturing workloads.
  • Elastic Scaling: A single tenant can begin small and auto-scale, based mostly on coverage, to higher than 1,000 nodes, with zero down time.
  • Low-Value Object Storage: Teradata’s Native Object Storage strategies present enterprise worth efficiency at scale.
  • 1000’s of concurrent queries: Highest variety of concurrent queries on a Teradata cloud platform, with 1,023 energetic person classes.
  • Resiliency: No outages within the face of incidental {hardware} node failures.

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

Gartner, Important Capabilities for Cloud Database Administration Programs for Analytical Use Circumstances, Rick Greenwald, Merv Adrian, Adam Ronthal, Philip Russom, Henry Prepare 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 know-how customers to pick out solely these distributors with the very best scores or different designation. Gartner analysis publications encompass 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 specific objective.

Teradata is the related multi-cloud knowledge platform for enterprise analytics firm. Our enterprise analytics clear up enterprise challenges from begin to scale. Solely Teradata offers you the pliability to deal with the large and blended knowledge workloads of the longer term, right this moment. Be taught extra at Teradata.com.


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