Create fully functional ingestion flows within minutes


Build, operationalize, and manage machine learning models at scale


Move, cleanse, and transform your data in the cloud from any source within minutes


Enable your data-flow journey with self-service data processing, machine learning, and DataOps


StreamAnalytix Overview

Ingest, blend, and process high-velocity big data streams as they arrive, run machine learning models, visualize results on real-time dashboards, and train and refresh models in real-time or in batch mode

Developer DevOps specialist Data Scientist Business Analyst Real-time Data Ingest Data Preparation Predictive Analytics & Machine Learning Deep Learning Data Sinks Alerts & Actions Real-time Dashboards Static Data Ingest BI Tools Enterprise Applications Administration & Security Application Lifecycle Statistical Analytics & Custom Business Logic Open Source Big Data Processing Engine


Why StreamAnalytix?

Multi and hybrid cloud support

Build your applications and pipelines and host them on any cloud provider of your choice or on a hybrid environment

Unified batch and stream processing

Ingest and blend data at scale from any batch or streaming data source. Unified batch and stream processing

End-to-end data processing and analytics

Supports data ingestion, data preparation and processing, analytics, data science and machine learning, action triggers, data visualization, and data storage

Multi-engine support

Leverage Apache Spark and other compute engines including Apache Storm, Apache Flink, TensorFlow, and Oozie for 10x faster application development vs. hand-coding


Take advantage of a broad set of users to explore complex data at scale, and have greater control over the end analytic output

Click + code and reuse

Use an exhaustive set of pre-integrated drag-and-drop operators in an intuitive visual interface, or introduce custom logic in the language of your choice (Java, Scala, or Python)

Application data flow lifecycle management

Build applications with end-to-end support for the entire application delivery lifecycle – design,

Open source flexibility

Take advantage of the best-of-breed open source technologies integrated into a high-performance, build, test, debug, deploy, monitor, and manage scalable, and reliable enterprise-grade platform

Workflow orchestration

Integrate multiple pipelines to work in sync and automate the execution of multiple inter-related tasks


Keep full control and flexibility to add new functionality and interfaces as the technology ecosystem evolves

Start your free trial

of StreamAnalytix



Experience the Ease and Speed of Working With StreamAnalytix


More Videos

blog Nov 24, 2022

ETL vs ELT: Which data integration practice is right for you

ETL and ELT are common data integration processes that are extensively used in data science and business intelligence. While leading…