Diyotta and Spark Streaming

Diyotta and Spark provide a scalable enterprise class solution that allows organizations to integrate
and analyze data from an ever-increasing diverse list of cloud and on-prem sources.

The Solution

Diyotta’s unique modular architecture provides an easy to use browser-based drag & drop interface that
introduces native Spark functionality at the design level and takes advantage of Spark’s in-memory processing capabilities.
Historical data migration from On-Premise systems
Source data from SaaS applications
Perform transformations using Spark Streaming processing power 
Provision data from Spark for analytics or downstream applications
Orchestrate data movement and transformations across data flows
Historical data migration from On-Premise systems
Source data from SaaS applications
Perform transformations using Spark's processing power (ELT on Snowflake)
Provision data from Spark for analytics or downstream applications
Orchestrate data movement and transformations across data flows