Informatica Data Engineering Streaming(DES) is built on best-in-class open source technologies in an easy-to-use, enterprise-grade offering. It uses open-source Spark Structured Streaming as the real-time stream processing platform and supports frameworks like Apache Kafka, Databricks Delta, Azure Event Hubs, and Hadoop. Informatica Data Engineering Streaming enables ingestion and processing of real-time streaming data into Microsoft Azure Data Lake Storage Gen1, Microsoft Azure Data Lake Storage Gen2 and supports Azure Event Hubs as a source, Azure Event Hubs as a target, and Databricks or Azure HDInsight in streaming mode, making it easy to collect, deliver, and process large amounts of real-time data efficiently.

• Real-time data ingestion and integration: Ingest events quickly and easily from real-time queues to derive maximum value. Seamlessly integrate and transform streaming data in real time.
• Spark structured streaming: Manage batch and streaming data in a single platform and source event-time-based processing. Turn out-of-order source data into in-order data.
• Enhanced connectivity: Ingest and process real-time streaming data into Microsoft Azure Data Lake Storage Gen1 or Microsoft Azure Data Lake Storage Gen2 without any interruption.

• Real-time data ingestion and integration
• Spark structured streaming
• Enhanced connectivity
• Advanced streaming data transformation
• Cloud-ready stream support
• Alignment with Informatica Data Engineering Integration
• Intelligent stream data parsing
• Quality of service