Updated data warehouse stalwart Teradata has shaken off its aversion to the lakehouse concept and embraced the idea of performing business analytics on unstructured data—a situation it once argued against.
Database vs Data Warehouse vs Data Lake | What is the difference?
Founded in 1979, the company pioneered enterprise data warehousing in the decades leading up to the 2010s, but has since been overshadowed by so-called cloud-based data warehousing products, which promise greater flexibility and lower startup costs.
Teradata has now announced support for open table formats (OTF) Apache Iceberg and Linux Foundation Delta Lake, embracing an industry trend toward performing analytics on data in-place, rather than moving it into a single store for BI and other analytics.
Teradata claimed that the use of AI had consolidated data warehousing, analytics and data science into unified silos. "OTF support further enhances Teradata's lakehouse capabilities, providing a storage abstraction layer designed to be flexible, cost-effective and easy to use," the company said in a statement.
