Striim’s HDFS connector enables continuous data movement from your Hadoop Distributed File System to modern cloud platforms and analytics destinations. Extract structured and unstructured data from HDFS clusters, process it in real time, and deliver it to data warehouses, lakes, and streaming platforms with sub-second latency.
Our streaming platform captures changes as they occur in your HDFS environment, ensuring your downstream systems always have fresh data. Whether you’re moving log files, sensor data, or processed analytics outputs, Striim maintains data integrity while handling high-volume workloads at enterprise scale.
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Move data from HDFS to cloud platforms in real time, enabling faster analytics and reducing infrastructure costs. Striim’s automated pipelines ensure reliable data delivery with built-in monitoring and error handling, so your teams can focus on insights instead of integration challenges.