Big Data Streaming
Enable real-time analytics with fast, reliable, code-less stream processing.
Overview
Informatica Big Data Streaming helps you turn volumes of streaming data into trusted insights.
AI-driven intelligent streaming
With Informatica Big Data Streaming you can sense, reason, and act on trusted data—all within the context of dynamically changing information, business rules, and analytic models.
High-speed event processing
Prepare and process streams of data to uncover insights at the speed of business. Detect patterns in real-time with a rich set of transformations and the ability to create business rules on transformed data.
Design once, run at any latency
Manual, hand-coded approaches to stream processing are slow to develop and difficult to re-use. With our visual design interface, developers can develop rapidly and re-use code even as data sources and technologies change.
Ensure highest quality of service
Informatica Big Data Streaming helps you to avoid uninterrupted processing of events for IoT and other streaming projects that require service guarantees. Deliver data with automated failover and easy scalability of capacity.
Key Features
Informatica Big Data Streaming improves analytics with real-time stream processing
of unbound big data.
Real-time ingestion
Ingest events quickly and easily from real-time queues to derive maximum value.
Cloud-ready stream processing
Stream data to and from Amazon Kinesis and Microsoft Azure Event Hub.
Visual design interface
Easily build business rules that you can re-use at any latency and maintain stream processing logic for rapid development.
Quality of service
Rely on delivery of data thanks to automated failover and easy scalability of capacity.
High-speed, secure event processing
Leverage a rich set of transformations, create business rules on transformed data, then detect real-time patterns.
Minimize risk
Build data flows once to process data at any latency and future-proof as open source technologies change and evolve.
