Data Engineering Streaming

Power real-time analytics with reliable, code-less IoT and stream processing.



Key Features

Informatica Data Engineering Streaming empowers analytics with no limits on real-time streaming data processing.

Real-time ingestion

Ingest events quickly and easily from real-time queues to derive maximum value.

Spark structured streaming

Manage multi-latency data in a single platform. Source event-time based processing of events. Turn out-of-order source data into in-order data.

Visual design interface

Easily build business rules that you can re-use at any latency and maintain stream processing logic for rapid development.

Cloud-ready stream processing

Stream data to and from Amazon Kinesis and Microsoft Azure Event Hub.

High-speed, secure event processing

Leverage a rich set of transformations, create business rules on transformed data, then detect real-time patterns.

Quality of service

Get reliable data delivery with automated failover and easy scalability of capacity.

Intelligent stream data parsing

Parse complex streaming data automatically with intelligent structure discovery powered by the CLAIRE™ engine. Handle schema drifts easily.

Future proof

Build data flows once to process data at any latency and future-proof your process as open source technologies change and evolve.


Data Engineering Streaming in the Cloud

The Informatica Cloud Mass Ingestion service allows you to efficiently ingest streaming data at scale and move it to other targets so you can perform real-time analytics.


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