Collaborative Self-Serve Advanced

Analytics with Sparkflows + Databricks

Perform Data Analytics, Data Exploration, build ML models

and Data Engineering in minutes using the 330+ Processors in Fire Insights

In Fire Insights you can

View/Start/Stop your

Databricks Cluster

Build workflows which reads from and writes to tables in Databricks

View your files in Databricks File System (DBFS)

Execute the workflows on your Databricks clusters and

view the results.

View your Databases and

Tables in Databricks

Results include data in

Charts, Tables, Text etc.

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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.

View Databricks Clusters

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

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Read and write Databricks Tables

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

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Interact with Databricks File System (DBFS)

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

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Execute Workflows on Databricks

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

Fire Insights is seamlessly integrated with MLflow

Create experiments in MLflow

Log metrics and artifacts

to MLflow

Save ML models to MLflow

Fire Insights makes it seamless to work with Delta Lake

Read, Write and Merge data into Delta Lake

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Build Analytical Apps

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