Organizations seek ways to reduce data management costs and complexity. Moving, replicating, and transforming data across systems is time-consuming and often results in unsynchronized data stored in multiple silos.
Customers experience greater choice, interoperability, and cost efficiency when using Teradata’s open table formats with open catalog integration—without sacrificing the powerful and scalable engine that differentiates Teradata in its ability to optimize value and business outcomes.
OTFs provide a flexible, cost-efficient, and easy-to-use storage abstraction layer, enabling customers to manage enterprise data with minimal data movement, reduced complexity, and cost.
Teradata’s open and connected approach to supporting OTFs enables cross-read, cross-write, and cross-query of data stored in a variety of OTFs and open catalogs in multi-cloud and multi-data-lake environments.
Explore AI use cases with a future-ready, truly modern data strategy with unmatched agility and flexibility to deliver Trusted AI at scale—all without the need to move, replicate, or transform data.
Teradata VantageCloud Lake and Teradata AI Unlimited now support OTF data stores, expanding customer choice for data storage and management. Teradata offers freedom of choice with first-party support for Apache Iceberg and Linux Foundation Delta Lake OTFs, leveraging object stores like AWS S3, Azure Data Lake Storage, and Google Cloud Storage.
OTFs provide a standardized storage abstraction layer that defines the structure and rules for how analytical engines interact with data in object storage. This architecture enables you to maintain a single data store for use by multiple analytical engines and tools without needing to host, replicate, and manage multiple copies of large datasets.
Together with OTFs, VantageCloud Lake and AI Unlimited deliver the robust governance capabilities of Teradata’s industry-leading ClearScape Analytics™ for harmonized data and Trusted AI through several features, including:
Ensure transactional consistency for multiple, concurrent read and write operations.
Modify schemas (column definition, order, and data types) or partitions without re-creating new tables or partitions, saving time and data movement costs.
Return to previous table states for historical analysis across time periods.
Revert to prior versions to quickly correct issues and return tables to a known good state.
Teradata provides an open ecosystem for OTFs, catalogs, and cloud service providers (CSPs) in multi-cloud and multi-data lake environments.
This unique, open, and connected approach to supporting OTFs enables cross-read, cross-write, and cross-query of data stored in Apache Iceberg and Delta Lake tables using open catalogs such as AWS Glue, Hive Metastore, or Unity.
This future-ready approach allows enterprises to employ a truly modern data strategy, with unmatched agility and flexibility to deliver Trusted AI at scale—all without the need to move, replicate, or transform data.
Enterprises can leverage the powerful analytical engines of VantageCloud and AI Unlimited against their own datasets, in their own cloud object stores—enabling an agile approach without the challenge and expense of moving data.
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