STRIIM FOR CLOUDERA

Streaming ETL with Low Impact

Integrate real-time data to Kafka and Hadoop from databases and more

Striim offers an enterprise-grade streaming data integration solution for Cloudera by moving real-time data from a wide variety of sources to Apache Kafka, Apache Hadoop environments (Kudu, HDFS, HBase, Hive), without impacting source systems. With support for hybrid IT infrastructures, Striim’s streaming ETL capabilities complement Cloudera solutions by enabling organizations to use full breadth and depth of their data in real time for operational intelligence and reporting.

WHY STRIIM FOR CLOUDERA

Striim for Cloudera

The Striim platform continuously ingests real-time data from databases, cloud applications, log files, message queues, and devices, on-premises or in the cloud, with security, scalability, and reliability including out-of-the-box exactly once processing.

For enterprise databases such as Oracle, SQL Server, MySQL, HPE NonStop, and MariaDB, the platform offers non-intrusive change data capture (CDC) to minimize the impact on source systems.

The data can be delivered “as-is,” or be put through a series of in-line transformations (such as denormalization) and enrichments with dynamically changing data, making it available in a consumable form, quickly and continuously. 

Striim also offers built-in data delivery verification and pipeline monitoring with alerting to support mission-critical solutions.

CONTINUOUS, REAL-TIME
CONTINUOUS, REAL-TIME
Loads real-time data continuously to Kafka, Kudu, and Hadoop
IN-LINE TRANSFORMATION
IN-LINE TRANSFORMATION
Enables stream processing using a SQL-based language
ENTERPRISE GRADE
ENTERPRISE GRADE
Supports high-volumes of data with built-in security, reliability
BENEFITS

Support Operational Decision Making with Low-Latency Data

  • Ingest real-time data into CDK (Kafka), Kudu, Hadoop with low impact
  • Continuously collect data from databases, logs, messaging, sensors, and more
  • Transform data in-flight without extensive coding or introducing latency
  • Achieve fast time-to-market with wizards-based, drag and drop UI
  • Leverage parallelization for optimized loading
  • Use low-latency data in Cloudera for real-time analytics and operational reporting

 

Striim for Cloudera


Stream real-time data to Kafka, Kudu, HDFS, HBase, Hive– deployed on-prem or in the cloud


Perform in-line transformations, including denormalization, before real-time delivery to Cloudera


Rapidlly build operational intelligence solutions on Cloudera using low-latency, pre-processed data

See how streaming data integration can work for you.

Schedule a Demo Download