Enterprise streaming solution for hybrid data management

The explosion of data is increasing yearly, with 20.6 zettabytes in global data center traffic by 2021 and 500 million business data users and growing.

Effective streaming data management now requires:

• Ingesting data at scale from any source, including real-time streams, files, databases and  database change data capture, whether on-premises or in the cloud
• Processing data at any latency, both real-time streaming and batch
• Leveraging industry leading streaming and big data processing technologies such as Apache Spark, Spark Structured Streaming, Kafka, and more
• Driving order of magnitude automation and recommendations with AI and machine learning
• Supporting a hybrid, multi-cloud environment

The Informatica^® Enterprise Streaming and Ingestion solution supports streaming data ingestion from a broad variety of sources, such as internet of things, machine and sensor data. The solution also includes change data capture for databases as well as connectivity to files, databases, apps and more, both on-premises and in the cloud. It is the industry’s first solution to support Structured Streaming from Apache Spark for multi-latency data processing while leveraging the power of the Informatica CLAIRE™ engine for intelligent structure discovery and dynamically evolving schemas.