The Striim platform, running in AWS as a PaaS solution, provides low-impact, real-time data ingestion from data warehouses (including Oracle Exadata, Teradata), databases (including Oracle, SQL Server, HPE NonStop, MySQL and PostgreSQL), log files, messaging systems, sensors, and Hadoop solutions, with in-flight transformations and optimized delivery.
For real-time data movement from enterprise databases, Striim uses low-impact change data capture (CDC) to avoid performance impact on source production systems.
By continuously streaming updated business data in a consumable format to Amazon Redshift, Striim eases cloud-based analytics and supports operational decision making.
Designed for mission-critical environments, Striim enables secure, reliable, and scalable real-time data pipelines for unstructured, semi-structured, and structured data into Amazon Redshift. Redshift customers can store the data in the right format, and provide full context for any downstream operations, such as reporting and analytical applications.
With wizards and a drag-and-drop UI, Striim accelerates data pipeline development. Striim also offers out-of-the-box, exactly once processing capabilities.
Using SQL-based, in-flight transformations including denormalization, Striim reduces on-premises ETL workloads as well as data latency. Compared to an ELT architecture, using a single solution to orchestrate the end-to-end data flow with in-flight transformations eliminates network hops, and simplifies recovery after outages.
Stream real-time transactions from databases, machines, sensors, Kafka, and Hadoop
Achieve faster time-to-insight by transforming data in-flight
Use PaaS offering to ease and speed deployment