Start building Apache Spark pipelines within minutes on your desktop with the new StreamAnalytix Lite.

Manually developing and testing code on Spark is complicated and time-consuming, and can significantly delay time to market. A visual low-code solution, on the other hand, can simplify and accelerate Spark development.

StreamAnalytix Lite, a light-weight, self-service data flow, and analytics platform, has transformed the experience of developing and running Spark applications, making it visual, faster and easier – right on your desktop, at no cost.

StreamAnalytix Lite, a developer edition of the StreamAnalytix Enterprise Edition, retains all its capabilities and features to build, test and run enterprise-grade Spark applications 10x faster vs. hand coding. It offers an intuitive drag-and-drop visual interface to instantly transform your journey with Spark on a desktop or a single node.

With its new release, StreamAnalytix Lite has further enhanced Spark development with a richer set of connectors, 150+ built-in Spark operators, interactive development, enhanced self-service features, and higher collaboration for multiple users. It also offers additional features like auto-schema detection, test suite support, user recommendations, and error detection at design time, use of Notebooks, and more. Further, it enables hand-written custom logic in the language of your choice (Java, Scala, Python).

StreamAnalytix Lite comes with an array of support documentation, resources, and built-in sample pipelines to onboard and expedites your journey with the platform. Some critical features offered by StreamAnalytix Lite are:

Build and run enterprise-grade Spark applications on your desktop: End-to-end application life cycle management – build, test, debug, deploy, and manage in a unified platform

End-to-end application life cycle management – build, test, debug, deploy, and manage in a unified platform End-to-end ETL capabilities: Visually perform data cleansing, data blending, and data enrichment to transform batch as well as streaming data

Visually perform data cleansing, data blending, and data enrichment to transform batch as well as streaming data Built-in advanced analytics and machine learning capabilities: Use built-in analytical operators like Spark MLlib, Spark ML, PMML, TensorFlow, and H2O

Use built-in analytical operators like Spark MLlib, Spark ML, PMML, TensorFlow, and H2O Visual and interactive development: Use an intuitive drag-and-drop interface, built-in processors, and a visual pipeline designer

Use an intuitive drag-and-drop interface, built-in processors, and a visual pipeline designer Self-service platform to create data flows: Interact with the data as you build your data flows, leverage auto schema detection and data profiling, get auto-generated user recommendations, and more

Interact with the data as you build your data flows, leverage auto schema detection and data profiling, get auto-generated user recommendations, and more Get all Spark features in one unified development tool: A wide array of built-in Spark operators for data sources, transformations, machine learning, and data sinks. Support for Spark 2.3 and Spark Structured Streaming makes it easier for customers to build production-grade continuous applications allowing users to handle out-of-sync data better, maintain greater consistency within their data streams and more efficiently join streams with static data sources.

A wide array of built-in Spark operators for data sources, transformations, machine learning, and data sinks. Support for Spark 2.3 and Spark Structured Streaming makes it easier for customers to build production-grade continuous applications allowing users to handle out-of-sync data better, maintain greater consistency within their data streams and more efficiently join streams with static data sources. Use powerful multi-tenancy features: Multiple users can connect to a single instance through a web-based interface

Experience the ease of Spark application development with StreamAnalytix Lite

The screen below shows the pipeline designer and the “Inspect” feature of StreamAnalytix Lite where a developer builds and iteratively validates a Spark pipeline by injecting sample test records and seeing the data changes at each step of the flow.

Who should use StreamAnalytix Lite

Developers, business analysts, data scientists, and DevOps specialists can use StreamAnalytix Lite to build unlimited Spark workflows on their desktop (Windows, Mac, or Linux) or any single node.

Recommended StreamAnalytix Lite usage

StreamAnalytix Lite is learning, experimentation, and development tool to make Spark development easy for a wide range of users. It is not recommended as an execution platform for production applications. Big data processing applications or pipelines built on StreamAnalytix Lite can be seamlessly exported to the production grade (Enterprise) edition of the StreamAnalytix platform to run at full enterprise scale in production on multi-node Spark clusters.

About StreamAnalytix

StreamAnalytix is an enterprise-grade, visual, self-service data flow and analytics platform for unified streaming and batch data processing based on the best-of-breed open source technologies. It supports the end-to-end functionality of data ingestion, enrichment, machine learning, action triggers, and visualization. StreamAnalytix offers an intuitive drag-and-drop visual interface to build and operationalize big data applications five to ten times faster, across industries, data formats, and use cases.