Delta Engine, which is based upon Spark SQL, also introduced other data warehouse requirements, like cost-based query optimizers, schema enforcement, ACID support, adaptive query execution, runtime ...

Databricks adds new SQL Analytics ... and their queries, in a pinch. Today, Databricks is ... making the data lake a serviceable alternative to a data warehouse in a majority of use ...

Often, a company may have real-time data in a PostgreSQL database that powers an app, but an analyst may want to combine this with historical data from a data warehouse and query across both systems.

With SQL Analytics a data lakehouse can provide nine-times better price/performance than a traditional cloud data warehouse, according to Databricks. SQL Analytics, available for public preview on ...

This review is about Databricks’ current commercial cloud offering, Databricks Lakehouse Platform. Lakehouse, as you might guess, is a portmanteau of data lake and data warehouse.The platform ...

Among the current customers cited by Databricks are the Australian software company Atlassian, which is using Databricks SQL to deliver analytics to more than 190,000 external users; restaurant ...

One component, Databricks Assistant, allows users to query data using natural-language prompts. The software automatically turns those prompts into SQL queries or Python code.

After conducting an analysis, the Converter starts converting the rival data warehouse into Databricks SQL by using a configuration-driven approach that is expected to account for differences ...

Databricks SQL specifically, and the lakehouse architecture generally, use data lake technology at the core, combined with enhancements -- like ACID compliance, writeback, and vector processing ...