How to Use Data Lakes to Reduce SIEM Costs and Strengthen Investigations

Most teams think of data lakes as cold storage. A long-term archive. A place to keep logs “just in case” while budgets tighten and ingest volumes rise. Functional, sure. But limited. The traditional data lake keeps everything, helps occasionally, and rarely fits the way analysts work. Graylog approaches the data lake differently. In Graylog 7.0, the data lake is not a warehouse. It is a pressure release valve for teams overwhelmed by storage cost, investigation delays, and cloud data sprawl. It gives analysts direct access to long term data without slowing searches or triggering surprise invoices. It delivers clarity where teams usually face risk. This shift matters because the cost and volume challenges are growing quickly. IBM’s 2025 Cost of a Data Breach Report notes that long term data retention remains one of the top cost drivers for security teams. Both point to the same need: teams want lower costs without losing evidence. Graylog 7.0 responds with a practical model that respects the analyst workflow and the budget reality at the same time.