Unlock Actionable Data at the Source. Collect, normalize, and extract data from every system and source before it slows down analytics, dashboards, or operational workflows.
Built-in, Automated Filtering
Real-Time
Flexible, works with nearly every vendor
Up to 80% Cost Reduction
Built-in, Automated Filtering
Real-Time
Flexible, works with nearly every vendor
Up to 80% Cost Reduction
When 150ms Is Too Slow
A North American sports league collected player tracking data in the cloud, causing live graphics delays of 150 ms. Expanso extracted data locally at each stadium, delivering structured feeds in 8 ms.
12 Million Events, 4 Analysts
A European OEM's 2.3 M connected vehicles generated 47 GB/day per car. Expanso extracted security events locally, sending only confirmed alerts to the VSOC. Detection dropped from 340 ms to 0.8 ms.
Turning 14.3 TB of Logs Into Actionable Data
A top-25 US regional bank sent 73% noisy logs to Splunk. Expanso extracted and filtered logs at the source, passing only actionable events downstream.
Their AWS Bill Was Higher Than Their Drone Fleet
A forestry company processed 2.7 TB/day of drone imagery in the cloud. Expanso extracted and normalized images at each field office, sending only finished orthomosaics upstream.
A Data Extraction Platform collects, normalizes, and delivers distributed data in real time to analytics, dashboards, AI, or operational systems.
No — ETL often moves data in batches and downstream. Expanso extracts and normalizes at the source, in real time, reducing downstream errors.
Yes — Expanso buffers and retries automatically. Your analytics pipelines never miss data, even if links drop.
No — this page focuses only on extraction. Replication and activation are handled on their dedicated use-case pages.
Dozens to thousands. One configuration per source type works across all systems.