Build Apache Spark-based ingestion, ETL, analytics and ML pipelines in minutes
StreamAnalytix Lite makes Spark easy and expands the base of users that can build Spark-based applications. It offers an easy-to-use visual Integrated Development Environment (IDE) to build, deploy and manage Spark-based enterprise grade applications.
StreamAnalytix Lite is engineered to run Spark on a single node with no core limits. It allows developing, validating and running applications in a controlled local environment with an option to scale out pipelines using the enterprise version of StreamAnalytix.
- Easy to use a visual drag-and-drop, web-based IDE for Apache Spark
- Self-service platform to create data flows
- Runs on a Mac, Windows, Linux Desktop or VM (Less than 1 GB on disk)
- 150+ built-in operators for sources, sinks, transformations, and analytics
- Multi-tenancy support
- Includes data generator and real-time dashboarding tool
- Supports Spark 2.3 running in local mode
- Supports Spark Structured Streaming
Accelerate Spark adoption in enterprises with StreamAnalytix Lite
End-to-end application lifecycle management
Easy-to-use visual IDE to build, test, debug, deploy and manage Apache Spark-based enterprise grade applications
Self-service platform to create data flows
Build data flows using the visually interactive environment, leverage features like auto schema detection, test suite support, user recommendations, data profile view, versioning and more
Rich array of drag-and-drop Spark operators, no need for coding
Integrates and offers a set of comprehensive big data tools and operators including an array of data sources, processors, analytical operators, and emitters
Enables hand-written custom logic in StreamAnalytix Lite pipelines using custom-Java and custom-Scala operators
A web-based platform, multiple users can connect to a single StreamAnalytix Lite instance.
Built-in dashboards for real-time data visualization and a Visual Pipeline Designer for rapid application development
Test and debug
Offers extremely powerful debugging and DevOps tools for data inspect and data lineage
To know more, download the solution brief.
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