Teradata announced an open and connected approach to support open table formats (OTFs) Apache Iceberg and Linux Foundation Delta Lake and enable enterprises to employ a modern data strategy for executing Trusted AI at scale.
“In today’s data landscape, we’re seeing wide adoption of open table formats with 51% of organisations 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 agnostic OTF support and open catalog integration enable the platform to read various catalogs. It also claims to provide unique implementation and approach to parallel processing, workload management, and query optimisation of shared data across cloud-native, multi-cloud, and on-demand offerings for data management.
Teradata AI Unlimited
“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 organisations with the most open and connected ecosystem for cloud analytics and data,” said Hillary Ashton, chief product officer at Teradata.
Teradata AI Unlimited, an on-demand, cloud-native AI/ML, fully open and connected engine, now supports OTFs to accelerate AI innovation and claims to provide high-performance computing, massive parallel processing, and the advanced in-engine analytics required to execute and operationalise AI workloads.
