Teradata AI Unlimited moving to public preview
on AWS and Azure marketplaces in Q2 2024; New third-party
integrations with modern data stack tools increase productivity for
customers
Teradata (NYSE: TDC) today announced a uniquely open and
connected approach to supporting open table formats (OTFs) Apache
Iceberg and Linux Foundation Delta Lake, embracing the industry
pivot toward open-source technologies and offering unparalleled
customer choice in data management. This move adds a
forward-looking dimension to Teradata VantageCloud Lake, Teradata’s
next-generation, cloud-native analytics and data platform for AI,
as well as Teradata AI Unlimited, an on-demand and cloud-native
AI/ML engine – which will move to public preview on both AWS and
Azure Marketplaces beginning in Q2 2024. Teradata’s fully open and
connected approach is designed to be future-ready and allow
enterprises to employ a modern data strategy with unmatched agility
and flexibility for executing Trusted AI at scale.
OTFs represent a significant change from proprietary data
storage to more flexible storage that can be used across platforms.
The vision is greater interoperability, cost efficiency, and
choice. While some companies claim to offer the openness afforded
by OTFs, they lock users into preferred formats that stifle the
creativity and innovation early adopters want and future users will
expect. Teradata’s agnostic OTF support and open catalog
integration is designed to enable the platform to read various
catalogs with predictable execution. And with its unique
implementation and approach to parallel processing, workload
management, and query optimization of shared data, the platform is
designed to deliver the best performance in the market. Across its
cloud-native, multi-cloud, and on-demand offerings, Teradata
provides broad choice for data management, without sacrificing the
powerful and scalable engine that differentiates Teradata in its
ability to optimize value and business outcomes.
“In today’s data landscape, we’re seeing wide adoption of open
table formats with 51% of organizations actively adopting Delta
tables and 27% adopting Apache Iceberg. This trend reflects the
industry's focus on a single source of data and the ability to
leverage multiple engines against that data," said David Menninger,
Executive Director at Ventana Research, part of ISG. “Teradata's
commitment to open table formats, alongside the introduction of
VantageCloud Lake and AI Unlimited engines working with these
formats, empowers customers to combine low-cost storage with
enterprise performance and capabilities."
Teradata’s platform, the industry’s most open, offers
first-party services for Apache Iceberg and Linux Foundation Delta
Lake OTFs with full support for cross-read and cross-write data
stored in multiple OTFs. This interoperability extends to AWS Glue,
Unity, and Apache Hive catalogs and works in multi-cloud and
multi-data lake environments, which is designed to deliver a
connected, harmonized data experience to Teradata customers without
the need to move or transform data.
“The future is open. Teradata has cultivated a thriving
ecosystem for many years now and our embrace of OTFs, as well as
the expansion of our on-demand AI/ML offering, shows just how
serious we are about providing organizations the most open and
connected ecosystem for cloud analytics and data,” said Hillary
Ashton, Chief Product Officer at Teradata. “This is especially
critical as companies work to incorporate Trusted AI into their
ecosystems because an open platform like ours is intended to
deliver massive benefits – accelerated innovation, improved
productivity and more – but with robust support for the guardrails
required for trust, like transparency and explainability.”
AI adoption has driven a rapid consolidation of data warehouses,
analytics, and data science workloads into unified lakehouses. OTF
support further enhances Teradata’s lakehouse capabilities,
providing a storage abstraction layer that’s designed to be
flexible, cost-efficient, and easy-to-use. Users can leverage AI
Unlimited and other analytical engines against their own datasets,
in their own cloud object stores – enabling them to take an agile,
best-of-breed approach without the challenge and expense of moving
data. Secure, shared access to large datasets enables Teradata
customers to build data pipelines, score and train models, improve
analytics and decision-making, and much more.
Teradata AI Unlimited
AI datasets are one of the most common ways organizations are
using OTFs today, so it’s critical that platforms meant to
accelerate AI use cases, like Teradata AI Unlimited, support this
data format. Teradata AI Unlimited is an on-demand and cloud-native
AI/ML engine that’s fully open and connected – now with support for
OTFs – which is intended to make AI innovation faster, easier, and
more cost-effective. Soon-to-be-available in public preview on AWS
and Azure Marketplaces, AI Unlimited allows data scientists, data
engineers, and developers to explore, experiment, and
operationalize AI projects at scale.
Teradata AI Unlimited is designed to provide high-performance
compute, massive parallel processing, and the advanced in-engine
analytics required to execute and operationalize AI workloads. AWS
SageMaker and Azure Machine Learning can be integrated into AI
Unlimited workloads, and Azure OpenAI Services provide large
language models (LLMs) that can be used to develop generative AI
applications. Best of all, work prototyped in AI Unlimited can be
smoothly promoted to production in VantageCloud, which Teradata
believes will provide quick and substantial value to
enterprises.
AI Unlimited also includes the robust capabilities of Teradata’s
industry-leading ClearScape Analytics, which is designed to provide
organizations the transparency, explainability, and repeatability
needed for Trusted AI.
New Integrations
OTFs and AI Unlimited can reduce the cost and complexity of AI
workloads by minimizing data storage costs, as well as the need for
data movement or replication. Teradata has also added new
integrations with third-party tools – Airbyte Cloud, Apache
Airflow™, and dbt™ (data build tool) – a part of the modern data
stack. These integrations are intended to accelerate the building
of data pipelines, increase productivity by freeing data engineers
from repetitive work, and drive profitable growth.
- Airbyte Cloud: Streamline data
ingestion into VantageCloud with a fully managed and hosted service
that eliminates the need for time consuming infrastructure setup
and management.
- Apache Airflow: Programmatically
author, schedule, and monitor workflows.
- dbt (data build tool): Manages the
T in ELT (Extract Load Transform) and is a commonly used tool for
data transformation in databases, data lakes, and data
warehouses.
Availability
OTF support will be available for VantageCloud Lake and AI
Unlimited on AWS and Azure in June 2024.
AI Unlimited is available for purchase in Q2, as a public
preview, on the AWS and Azure Marketplaces.
Integrations with Airbyte Cloud, Apache Airflow, and dbt are
available now. More information can be found on this blog post.
Note to Investors
This release contains forward-looking statements within the
meaning of Section 21E of the Securities and Exchange Act of 1934.
Forward-looking statements generally relate to opinions, beliefs,
and projections of expected future financial and operating
performance, business trends, liquidity, and market conditions,
among other things. These forward-looking statements are based upon
current expectations and assumptions and often can be identified by
words such as “expect,” “strive,” “looking ahead,” “anticipate,”
“continue,” “plan,” “believe,” “will,” “would,” “likely,” “intend,”
“potential,” “designed,” or similar expressions. Forward-looking
statements in this release include the availability, capabilities,
and benefits provided by the integration of open table formats with
Teradata’s VantageCloud platform and Teradata AI Unlimited.
Forward-looking statements involve risks and uncertainties that
could cause actual results to differ materially, including those
relating to the rapidly changing and intensely competitive nature
of the information technology industry, the data analytics
business, and artificial intelligence capabilities; the timely and
successful development, production or acquisition, availability
and/or market acceptance of new and existing products, product
features and services, including for artificial intelligence; and
other factors described from time to time in Teradata’s filings
with the U.S. Securities and Exchange Commission, including its
most recent annual report on Form 10-K, and subsequent quarterly
reports on Forms 10-Q or current reports on Forms 8-K, as well as
Teradata’s annual report to stockholders. Teradata does not
undertake any obligation to publicly update or revise any
forward-looking statements, whether as a result of new information,
future events or otherwise, except as required by law.
About Teradata
At Teradata, we believe that people thrive when empowered with
trusted information. We offer the most complete cloud analytics and
data platform for AI. By delivering harmonized data and trusted AI,
we enable more confident decision-making, unlock faster innovation,
and drive the impactful business results organizations need
most.
See how at Teradata.com.
The Teradata logo is a trademark, and Teradata
is a registered trademark of Teradata Corporation and/or its
affiliates in the U.S. and worldwide.
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version on businesswire.com: https://www.businesswire.com/news/home/20240430385654/en/
Jennifer Donahue jennifer.donahue@teradata.com
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