Keep Data Platforms Efficient Without the Manual Tuning

See How Sedai Optimizes Data Platforms Autonomously

Running data platforms like Databricks and BigQuery means constantly balancing cost, performance, and compliance. Clusters grow quickly, idle resources waste money, and scaling policies often don’t match actual usage. Manual fine-tuning is time-consuming and often too late to prevent overspend.

In this overview and live demo, you’ll see how Sedai brings autonomous optimization to data platforms. Sedai continuously monitors workloads, right-sizes clusters, tunes scaling and termination policies, and enforces guardrails, so your teams can focus on insights, not infrastructure.