Teradata is hardly the only player to embrace cloud-native architecture. In fact, we just talked about SAP making the same shift with HANA. And by the way, so is Cloudera and Hadoop.

Teradata has long distinguished itself, not simply by its scale or performance, but by an advanced SQL engine that was designed for handling extremely complex functions such as recursive queries ...

Teradata Aster has launched a new tool which allows business analysts to work with Hadoop data through SQL query structures. Its Aster SQL-H provides a bridge between widely used business ...

Now Teradata is making a "big data" play. The Aster SQL-MapReduce framework combines SQL with prepackaged MapReduce modules that are executed through an integrated Hadoop environment.

Big Data analytics firm Teradata Corp. is throwing its considerable weight behind the open-source Presto project, which provides an SQL query engine for interactive queries.

Aside from its SQL engine, which has been designed to handle large, complex queries that can join up to hundreds of tables, Teradata has a large portfolio of analytic libraries that run in-database.

Presto complements Teradata QueryGrid and fits within the Teradata Unified Data Architecture vision. Presto integrates with the Teradata Unified Data Architecture by providing users the ability to ...

Teradata says its architecture allows developers and data scientists to query unstructured data in the Hadoop Distributed File System with SQL, a more commonly used language.

Ever since the first Hadoop system found its way into the enterprise, IT organizations have been looking for ways to couple SQL to Big Data. While there are already a number of options available to do ...

“Teradata pioneered integration with Hadoop and HCatalog with Aster SQL-H to empower customers to run advanced analytics directly on vast amounts of data stored in Hadoop,” says Ari Zilka, CTO ...