Teradata Touts 1,000-Node Cloud Analytic Test
February 28, 2022
reported the results of one of the largest-scale cloud analytic tests
ever undertaken in the industry. Its success demonstrates that
enterprise customers can run their complex analytic workloads on a
single system in the cloud at unprecedented scale.
Modern data platforms in global 3,000 organizations often support tens
of thousands of users and thousands of mission-critical business
applications. This activity level drives upwards of 100 million
queries-per-day, executed against petabytes of continuously updated
“As the physical world continues to be digitized and the digital world
expands, in the next five years, the Global DataSphere or IDC's account
of data created and replicated will reach 16.5 Exabytes. Today, less
than half of that data is being analyzed and a tiny fraction of it is
being used in AI/ML workloads,” said Dan Vesset, Group VP, Analytics and
Information Management at IDC.
“The continuing proliferation of data, the accelerated adoption of
AI/ML, IoT and 5G technologies, and a cultural shift toward data-driven
decision making continue to drive demand for highly scalable data and
analytics technology and services. As this demand increases, so will the
workload volume of the world’s most complex organizations as they
continue to derive value and competitive differentiation from their
advanced analytics and predictive modeling capabilities,” added Vesset.
Enterprises of the future will consider analytics-driven decisions
essential to their success. Whether it is using predictive maintenance
to ensure life-saving MRI scanners stay operational, or accurately
tracking and forecasting the delivery of important packages, reliable
and scalable analytics are critical to the day-to-day operations of
Teradata’s customers. Organizations rely on these solutions to optimize
their analytics in the cloud with increased efficiency and flexibility.
With the success of its recent scale test, Teradata proved that it can
successfully operationalize analytics at scale (1) on a single system of
more than 1,000 nodes with (2) 1,023 active users submitting thousands
of concurrent queries, (3) using a diverse set of mixed workloads, (4)
and with no system downtime or outages.
Gartner® recently named Teradata as a Leader in the 2021 Gartner Magic
Quadrant™ for Cloud Database Management Systems report and Teradata
Vantage ranked highest in all the analytical use cases in 2021 Gartner
Critical Capabilities for Cloud Database Management Systems for
Analytical Use Cases, including ranking highest in the Data Lake Use
“As critical analytic workloads increasingly move to the cloud, we
recognize the need to provide our largest enterprise customers with a
single system to manage all of their complex analytics. Our solutions
deliver easier automation, manageability and cost-efficiencies across
their entire analytic ecosystem. Extending ease of management beyond
scalability boundaries demonstrates that customers don’t have to trade
the complexity associated with managing multiple instances for
performance at scale,” said Hillary Ashton, Chief Product Officer at
Teradata. “We’ve proven the flexibility of our cloud technology to
reliably deliver complex analytics at scale on an integrated data
Teradata’s Innovation Lab led the execution of the cloud scale test on
AWS. The goal was to highlight the capabilities of Teradata's future
cloud architecture by pushing the limits of what many people consider
possible in the cloud. Teradata’s analytic data 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,” said Phil
Cheetham, VP Instance Platforms, EC2, at AWS. "This scale test is one of
the largest single system tests ever run on AWS, and it reflects the
strength of the collaboration between our companies and the capabilities
of our technologies when used together. We’re excited to see how
Teradata customers benefit from segregating workloads in a single system
in the cloud."
system test was executed over an extended period of
several weeks on a distributed system consisting of over
1,000 servers with zero system downtime. It ran mixed
workloads -- both operational and DSS -- something
Teradata is uniquely differentiated to do with its
robust workload management capabilities that give the
platform a way to segregate workloads within a single
system in the cloud.
executing on a single system matters
Executing on a single system delivers the lowest cost in
the cloud, while enabling:
duplication of work,
better resource utilization and
means for Teradata customers
This scale test demonstrates the architecture
flexibility that enterprises demand, in addition to the
following capabilities that Teradata customers will soon
be able to leverage in the cloud:
Flexibility to deploy large clusters leveraging
Teradata's industry leading workload management
resource optimization capabilities for the lowest
total cost of ownership, as well as dedicated
compute to business users who want to leverage the
enterprise environment while maintaining isolation
from critical production workloads.
Elastic Scaling: A single tenant can start small and
auto-scale, based on policy, to greater than 1,000
nodes, with zero down time.
Low-Cost Object Storage: Teradata's Native Object
Storage techniques provide enterprise price
performance at scale.
Thousands of concurrent queries: Highest number of
concurrent queries on a Teradata cloud platform,
with 1,023 active user sessions.
Resiliency: No outages in the face of incidental
hardware node failures.