About this demo
Data teams often struggle with ballooning costs from unused tables, duplicate assets, and expensive queries that run far more frequently than needed. Without a systematic way to identify inefficiencies, organizations face wasted storage, spiraling compute bills, and a loss of visibility into which assets actually matter.
Atlan’s cost optimization framework tackles these challenges head-on by making it easy to identify and deprecate unused or duplicate assets, track asset popularity, and optimize high-cost queries. Through lineage analysis, usage filters, APIs, and reporting dashboards, teams can quickly pinpoint dormant assets, consolidate underutilized ones, and right-size query schedules.
With insights into both storage and compute costs, Atlan empowers teams to take proactive action—whether archiving stale data, cleaning up low-value assets, or optimizing the most expensive workloads. The result is not only reduced costs but also a cleaner, more efficient data environment that enables faster discovery and more confident governance.
This guide also highlights business impact metrics, from direct savings on storage and compute credits to time saved in managing irrelevant assets. By applying these strategies, organizations can reclaim wasted spend, improve productivity, and make their data estate leaner and smarter.