Most telemetry never earns its keep. Logs full of repetitive warnings, service heartbeats, or low-level file touches consume space and budget without improving visibility. The Ingext Lakehouse filters and categorizes this data in motion — dropping noise before it hits expensive downstream systems.
This alone typically reduces 40% of incoming data volume — immediately lowering transport and ingest costs.
But the Ingext Lakehouse doesn't stop there. It also routes dense telemetry — the low-value, high-volume data — into low-cost Parquet-based archives while directing high-value, enriched events into SIEMs like Elastic or Splunk. The result is faster search performance, cleaner indices, and dramatically lower long-term storage costs.
Independent studies have shown that routing telemetry into a data lake can reduce analytical data volume by as much as 95%.
By handling telemetry intelligently at the source, the Ingext Lakehouse turns cost control into performance — and makes your data pipeline finally work for you.