ETL for Big Data
Hydrograph is a GUI-based ETL tool built to efficiently process big data workloads on premise or on the cloud without needing to write MapReduce/Spark code.
Efficiently Process Big Data with GUI-based ETL Tool
Modern ETL tool to fit your current and future technology strategy
Easy-to-use development environment that requires minimal retraining for ETL developers.
Harness the processing power of Big Data (up to 33% faster execution time in Spark compared to legacy ETL tools).
Ability to offload legacy Teradata, Netezza or Big Data Appliance ETLs to modern Big Data ecosystem.
Deliver New Use Case
Ability to deliver new use case applications in an agile environment.
Create Scalable Applications
Ability to create scalable applications that meet today’s technology requirements but flexible for future growth.
Input / Output Components
Ready for a modern big data ETL tool?