Data Processing

In-memory data processing to transform data as it arrives; perform data filtering, data blending and data enrichment at scale, to prepare for analytics and machine learning jobs

Data Cleansing

Minimize data preparation time using various, transformation operators like filtering, imputation and more.

Data Blending

Combine multiple data streams or batch sources into a single stream or table.

Data Blending

Combine multiple data streams or batch sources into a single stream or table.

Data Enrichment

Enhance data with external sources, reference tables and master data repositories, using various lookups, web-services and expressions.

Statistical and Temporal Analytics

In-built operators for complex event processing, aggregation, geo-spatial analytics, correlation and more.

Statistical and Temporal Analytics

In-built operators for complex event processing, aggregation, geo-spatial analytics, correlation and more.

Custom Processing

Use various native Apache Spark and Apache Storm-based operators, and languages including Java, Scala, SQL, Python, for hand-coding any custom logic.

Start your free trial

of StreamAnalytix

TRY NOW

Resources

data sheets

Leveraging continuous integration, delivery, and deployment(CI/CD) in StreamAnalytix

Continuous Integration and Delivery (CI/CD) is a set of automated SDLC practices and methods that enable frequent and error-free releases…

Experience the Ease and Speed of Working With StreamAnalytix

WATCH

More Videos

blog Jul 09, 2020

StreamAnalytix Cloud – Your next-generation tool for self-service ETL and machine learning

Impetus’ StreamAnalytix Cloud is fast transforming the industry’s extract, transform, load (ETL) landscape. Enterprises can now effortlessly build ETL flows on the cloud, leveraging an intuitive drag-and-drop interface. They can move, cleanse, and transform data in the cloud from any source within minutes to accelerate Spark application development like never before. StreamAnalytix Cloud is live on AWS Marketplace and will soon be available on Azure and Google Cloud.

Schedule a Demo