Prophecy 3.0’s unique technology enables business data users to visually build data pipelines that Prophecy instantly turns into SQL code (as dbt Core™ projects that are 100% open-source).

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.

Databricks says that this work, which was based on TPC-DS benchmarks but not TPC-audited, shows Databricks SQL to be 2.7x faster (see the figure below from a Databricks blog post on the subject).

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 ...

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

While low-code SQL is new, it must be noted that this is not the first visual tooling of the platform. ... Prophecy 3.0 is now live and available on the Databricks lakehouse platform.

Matillion’s Data Productivity Cloud GenAI components seamlessly integrate with Databricks SQL, the serverless data warehouse, enabling more than 50 use cases, ... With Matillion AI, users can design ...