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 ...

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 ...

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.

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.

Fivetran Extends Integration With Databricks, Accelerating SQL Analytics, Data Science and Machine-Learning Applications November 12, 2020 06:00 AM Eastern Standard Time ...

Optimized for organizations running Databricks SQL, Databricks' serverless intelligent data warehouse, Prophecy 4.0 is the first data integration platform to address the needs of analysts in the ...

The data marketplace and other features are expected to accelerate data engineering tasks with an option for data monetization down the road, Databricks said. Topics Spotlight: New Thinking about ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, a new service that makes it easier for data analysts to run their standard SQL queries directly on data lakes.