Key Features
Component based solution
Data Flow uses a Component based approach to ingest, process, validate, transform, and synchronize your data. Build and run data flow in minutes and see results quickly.
Connect to any data source
We support your data source in whichever form it is. You think of any kind of data source –whether it is a relational, NoSQL, Cloud, or File data source–we support all.
Data Mapping
Data Flow gives you the ability to handle schema changes effectively. Change or rename columns and convert their data types never like before.
Built on top of Spark
Data Flow is built using Apache Spark, a distributed data processing engine that can process large volumes of data in parallel and in-memory.
Data Quality
Data Flow helps you detect data quality issues early on while the data is getting ingested. It automatically profiles the data being ingested and provides easy to use rules for checking data quality.
Data Migration
Say NO to tedious and erratic tools and processes for Data Migration. Data Flow is a fast, easy, reliable, affordable, and capable of migrating any kind of data.
Data Reconciliation
Our Data Compare solution helps you find differences between source and target data. Ensure there are no discrepancies and reconciliation is done with absolute confidence.
Deploy on Premise or on Cloud
Data Flow is engineered to suit almost every kind of topology – be it on-premise (standalone, hadoop) or cloud-based (AWS, Azure, Google) deployment.