To use Databricks Lakehouse effectively through its own interfaces, you need to know SQL and be able to program in at least one of its supported languages: Python, Scala, or R.

Databricks One offers a simple, code-free environment that lets teams—from marketing to legal—generate powerful AI-driven insights from secure corporate data.

Databricks has announced a major new update to the popular data analytics cluster framework Apache Spark, adding support for the R statistical programming language in an effort to make life easier for ...

Python was already the most popular language in Spark before the latest batch of improvements (and Databricks and the Apache Spark community aren’t done). So it’s interesting to note the level of ...

AI and data analytics company Databricks today announced the launch of SQL Analytics, ... SQL Analytics provides a more graphical experience that focuses more on visualizations and not Python code.

With Apache Spark Declarative Pipelines, engineers describe what their pipeline should do using SQL or Python, and Apache Spark handles the execution.

To oversimplify, Snowflake invites the Databricks crowd with Snowpark, as long as they are willing to have their Java, Python or Scala routines execute as SQL functions.

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.

Databricks pros and cons Pros of Databricks. Built-in machine-learning capabilities. Helpful online guides for utilizing and navigating the software. Support for R, Java and Python. Cons of Databricks ...

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