Fire Insights Integration with Databricks


Fire Insights is deeply integrated with Databricks. Perform Data Analytics, Data Exploration,

build ML models and Data Engineering in minutes using the 300+ Processors in Fire Insights



Technical details of Fire Insights with Databricks is available at:




In Fire Insights you can

View/Start/Stop your

Databricks Cluster

View your files in Databricks File System (DBFS)

View your Databases and

Tables in Databricks

Build workflows which reads from and writes to tables in Databricks

Execute the workflows on your Databricks clusters and

view the results.

Results include data in

Charts, Tables, Text etc.

Benefits of Sparkflows on Databricks

Find quick value with Sparkflows and Databricks

Enable Business Analysts

Enable Business Analysts to find quick value with Databricks clusters.

Self Serve Advanced Analytics

Enable users to do analytics and Machine Learning in minutes.

Return on Investment (ROI)

Enable 10x more users on Databricks.

10x More Users

Makes it easy to build, maintain and execute

No code and low code platform

Solve your data science use cases 10x faster.


This diagram shows how Fire Insights talks with Databricks.

Install Fire Insights on a machine and have it start interacting with your Databricks clusters.

View Databricks Clusters

In Fire Insights, you can view your Databricks Clusters, start and stop them.

Read and write Databricks Tables

In Fire Insights, you can create workflows which read from and write to tables in Databricks.

Interact with Databricks File System (DBFS)

In Fire Insights, you can view your files on DBFS.

Execute Workflows on Databricks

In Fire Insights, you can execute the workflows on Databricks and view the results of execution.

Build Analytical Apps

Build and execute Analytical Apps on Databricks and get results displayed back into Fire Insights.





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