These tools include Databricks SQL, which allows for fast querying of large datasets, and Databricks Delta, which provides a reliable and high-performance storage layer for BI workloads. Moreover, ...

The Databricks SQL Editor is closely linked to the Data Explorer. In this next screen, we load and run a SELECT query against six of the tables in the tpch database. IDG.

Databricks adds new SQL Analytics Workspace and Endpoint features, consolidating its acquisition of Redash and bolstering its "data lakehouse" marketing push.

With Databricks SQL, the San Francisco company is attempting to smash that conventional wisdom to smithereens. Databricks released a benchmark result last month that saw the Databricks SQL service ...

Thursday Databricks launched SQL Analytics, the company’s new software for running SQL analytic workloads directly on huge stores of unorganized, often unstructured data known as data lakes.

According to Databricks, the barriers include: Technical skill barriers, such as the need for SQL and Python skills; Data accuracy and curation, which typically requires lots of data curation and ...

PHILADELPHIA, Nov. 12, 2020 (GLOBE NEWSWIRE) -- Qlik® today announced an expansion of its strategic partnership with Databricks through Qlik’s integration with the newly launched SQL Analytics ...

Databricks’ acquisition of Tabular puts new pressure on competitors such as Snowflake and Confluent as cloud data management rises in importance as a technology necessary for AI initiatives ...

In a demo, Ghodsi showed me what the new SQL Analytics workspace looks like. It’s essentially a stripped-down version of the standard code-heavy experience with which Databricks users are familiar.