Databricks framework to validate Data Quality of pySpark DataFrames and Tables

Accelerates migrations to Databricks by automating key migration activities

Databricks Add-on for Splunk

Business Semantics for Unity Catalog

API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation

Lightweight SQL execution wrapper only on top of Databricks SDK

Generate relevant synthetic data quickly for your projects. The Databricks Labs synthetic data generator (aka `dbldatagen`) may be used to generate large simulated / synthetic data sets for test, POCs, and other uses in Databricks environments including in Delta Live Tables pipelines

R Toolkit for Databricks