Today, Databricks is announcing SQL Analytics, a set of interface and infrastructure capabilities that transform SQL analytics on the platform from mere sideline to first-class use case.

Databricks Inc. today introduced a new serverless database called Lakebase that can process more than 10,000 queries per second. The service is based on PostgreSQL, a popular open-source relational ...

Using Databricks Photon SQL engine with spot instances brought the Price/Performance metric for a 100TB TPC-DS decision support benchmark down to $146, which is roughly 12 times better than the ...

Automation and integration were key themes at Databricks’ annual customer conference, as it showed off new generative and ...

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 also announced updates to its Unity Catalog that expand support for Apache Iceberg — the open-source table format designed for large analytical datasets in data lakes — and introduce new ...

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

Data and AI company Databricks has launched SQL Analytics, which allows workloads that would normally need a data warehouse to run on a data lake. SQL Analytics thus implements Databricks' vision ...

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

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.