Big Data Streaming
Enable real-time analytics with fast, reliable, codeless stream processing.
Overview
Turn more streaming data into trusted insights for real-time analytics.
AI-driven intelligent streaming
Big Data Streaming provides the ability to sense, reason, and act – 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. Informatica provides a rich set of transformations and the ability to create business rules against transformed data to quickly detect real-time patterns.
Design once, run at any latency
Manual and hand-coded approaches to stream processing are slow to develop and difficult to re-use. Informatica provides a visual interface that enables rapid development of stream processing logic that can be easily reused and maintained as data sources and underlying technologies change.
Ensure highest quality of service
Internet of Things projects in production require guarantees of service to avoid uninterrupted processing of events. Informatica guarantees delivery of data with automated failover and easy scalability of capacity.
Key Features
Informatica provides real-time stream processing of unbounded big data.
Real-time ingestion
Ingest events quickly and easily from real-time queues to derive maximum value.
High-speed, secure event processing
Leveraging a rich set of transformations, create business rules against transformed data to quickly detect real-time patterns.
Visual development interface
Easily build business rules, reuse 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.
Quality of service
Rely on delivery of data thanks to automated failover and easy scalability of capacity.
Cloud-ready stream processing
Stream data to and from Amazon Kinesis and Microsoft Azure EventHub.
Minimize risk
Build data flows once to process data at any latency and future-proof as open source technologies change and evolve.
