Collaborative Self-Serve Advanced

Analytics with Sparkflows + AWS

Perform Data Analytics, Data Exploration, build ML models

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


Sparkflows is deeply integrated with and certified on AWS. It can be installed on an EC2 machine and can run in standalone more or submit the jobs to EMR or AWS Glue. It can process data from S3, Redshift, Kinesis etc. Detailed documentation of the integration is available at:

Build and Run Analytics and ML jobs on EMR or standalone machines.

Seamlessly read files from
S3 and process them.

Send data to and build ML

models on Sagemaker

Read and Write data to Redshift.

Read and process streaming

data from Apache Kafka and Kinesis.

Results include data in

Charts, Tables, Text etc.

Integration with EMR

Fire can be easily installed on an AWS EMR Cluster. Fire can be installed on the master node of an EMR cluster. It would then submit the jobs to the EMR cluster.​

Fire can submit the Analytical Jobs to be run onto AWS Glue. The results and visualizations are displayed back in Fire Insights.

Integration with Glue
Integration with Redshift

Fire is fully integrated with Redshift. Fire has processors for reading from and writing to Redshift. They include:

         Read Redshift AWS

         Write Redshift AWS

Integration with S3

Fire Insights allows you to access your files on S3. The jobs run by Fire can read from and write to files on S3. The files can be in various file formats including CSV, JSON, Parquet, Avro etc.​ Fire also allows you to browse your files on S3.

Integration with Sagemaker

Amazon Sagemaker

Fire is fully integrated with AWS SageMaker. Fire provides a number of processors for doing model building with SageMaker. These include :









Benefits of Sparkflows on AWS

Find quick value with Sparkflows and AWS

Enable Business Analysts

Enable Business Analysts to find quick value with AWS clusters.

Self Serve Advanced Analytics

Enable users to do analytics and Machine Learning in minutes.

Enable 10x more to build

Data Science use cases.

10x More Users

Makes it easy to build, maintain

and execute

No code and low code platform

Return on Investment (ROI)

Solve your data science use cases 10x faster.