Cloud Data Analytics | Cloud ETL | Best ETL Tool | Opensource ETL - StreamAnalytix

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.

 

Build powerful applications on the cloud

Ingestion to cloud data warehouse
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

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