Striim’s Cloudera connector enables continuous data streaming from your Hadoop ecosystem to modern cloud destinations. It captures data changes from HDFS, Hive, and HBase tables, then delivers them to data warehouses, lakes, and analytics platforms with sub-second latency. Whether you’re migrating petabytes of historical data or syncing real-time updates, Striim ensures your Cloudera data stays current across all systems.
The connector uses log-based change data capture to track modifications without impacting cluster performance. As new files land in HDFS or records update in HBase, Striim immediately streams those changes downstream. This means your analytics teams work with fresh data, your ML models train on current datasets, and your operational dashboards reflect the latest metrics from your Hadoop environment.
Build Your Ideal Configuration
Keep your Cloudera data synchronized across cloud platforms with automated, real-time pipelines that require zero coding. Striim handles complex data formats, ensures exactly-once delivery, and scales to match your cluster’s throughput. Book a Demo today to see how enterprises stream billions of events from Cloudera to the cloud.
