Move, cleanse, and transform your data in the cloud from any source within minutes
StreamAnalytix provides connectivity to a wide range of sources with built-in operators to support quick application development on any cloud infrastructure.
“StreamAnalytix provides a beautiful and thoughtfully designed visual user interface for application development and management.” – The Forrester Wave™ 2019
Build powerful applications on the cloud
Data integration
Data preparation
Cloud CDC
Data offload
Machine learning and analytics
Build once and run on a Spark vendor of your choice with zero operational overheads
StreamAnalytix supports a vast array of sources and services from multiple cloud vendors to help you create multi-cloud and cloud-to-cloud integration applications
Spark platforms
Cloud providers
StreamAnalytix Cloud advantages
Rapid development
Drag-and-drop to create your flows on a visual canvas with zero coding efforts
Join on-prem and cloud sources
Ingest data from multiple on-premise and cloud sources. Join, combine, and enrich data from multiple sources
Cloud-native execution
Optimally execute the workloads on cloud-native execution engines
Autoscale with changing load
Configure auto scale-in and scale-out rules to manage costs and execution efficiency
Support for major cloud data-warehouses
Compatible with all the major cloud data warehouses like Delta Lake, Snowflake, and Redshift
Integrate machine learning and analytics
Add advanced enrichment and decision pointers to your data in motion with machine learning and analytics
An interactive data-first approach to build ETL flows on the cloud
Zero-code philosophy — Leverage 150+ operators and an intuitive drag-and-drop interface to create ETL flows
- Support for native cloud sources and targets
- Build, test, and run ETL and machine learning applications 10X faster
- Create a wide range of data-centric applications using a visual interface
