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 Sparkflows
In Sparkflows you can
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.
View Databricks Clusters
In Sparkflows, you can view your Databricks Clusters, start and stop them.
Read and write Databricks Tables
In Sparkflows, you can create workflows which read from and write to tables in Databricks.
Interact with Databricks File System (DBFS)
In Sparkflows, you can view your files on DBFS.
Execute Workflows on Databricks
In Sparkflows, you can execute the workflows on Databricks and view the results of execution.
Sparkflows is seamlessly integrated with MLflow
Create experiments in MLflow
Log metrics and artifacts
Save ML models to MLflow
Sparkflows makes it seamless to work with Delta Lake
Read, Write and Merge data into Delta Lake
Build Analytical Apps
Build and execute Analytical Apps on Databricks and get results displayed back into Sparkflows.