BigQuery Optimization Without the Manual Effort

Sedai doesn't just surface slot inefficiencies. It fixes them — autonomously managing reservations and eliminating wasted spend, without requiring constant manual intervention.

Optimize BigQuery Slots with Superintelligence

Sedai isn't another recommendation tool. It continuously analyzes slot consumption across all your workloads and acts — right-sizing reservations, enforcing workload priorities, and eliminating unnecessary autoscale spend.

Effortless BigQuery Optimization

Automated BigQuery slot optimization that goes beyond recommendations. Reduce waste, enforce SLOs, and stop tuning by hand.

Slot Usage Analysis

A reservation-by-reservation view of slot consumption by workload and time of day — including where autoscale is filling gaps your baseline should cover.

Workload Classification & Separation

Detects batch and interactive workloads competing for the same slots and separates them automatically — so time-sensitive queries always get the capacity they need.

Reservation Right-Sizing

Analyzes actual demand patterns to right-size every reservation, protect high-priority jobs, and eliminate committed spend you're paying for but not using.

Autoscale Max Optimization

Finds the right ceiling for each reservation — controlling costs during spikes while preventing the slot-borrowing interruptions an oversized ceiling can cause.

From Slot Chaos to Autonomous Control

Slot mismanagement isn't just a visibility problem — it's an execution problem. Sedai doesn't stop at surfacing what's wrong. It understands the difference between a batch pipeline and a business-critical dashboard, and applies that context to every optimization decision.

The result is a system that continuously rebalances your reservations, enforces workload priorities, and eliminates waste, without waiting for someone to act on a recommendation.

- Workload-aware optimization that protects SLOs, not just cost

- Automatic separation of batch and interactive workloads across reservations

- Autonomous execution with full rollback capability

- Continuously adapts as workload patterns change — no manual re-tuning

Other Tools Recommend. Sedai Acts.

Native GCP tools and FinOps platforms give you visibility into slot usage. Sedai closes the loop by applying workload-aware optimizations that account for SLOs, not just cost, and letting you validate or roll back every change.

Optimization, not just observability

Competitors stop at insights. Sedai delivers executable, autonomous optimization with clear before/after cost and performance projections.

Workload-aware prioritization

Recommendations account for SLOs and workload priority, so savings don't come at the expense of performance.

Built for FinOps and Engineering alike

Sedai bridges the organizational gap, giving FinOps and platform engineering teams a shared, governed view of slot usage and optimization actions.

“Sedai has helped us save millions by optimizing and managing our own back-end services. But most importantly, Sedai has allowed us to respond in real time when anomalies are detected.”

Suresh Sangiah

SVP of Engineering // Palo Alto Networks

How Sedai Optimizes BigQuery Safely

Sedai eliminates BigQuery slot waste and autoscale overage, autonomously and safely.

Sedai models how each workload uses BigQuery over time, understanding utilization patterns, peak demand windows, and the difference between idle and active allocation.

Every BigQuery optimization aligns with workload requirements, performance goals, and cost targets. Sedai never optimizes in isolation — it understands the full picture before acting.

All changes execute with validation and guardrails. Start with Datapilot recommendations, move to one-click Copilot execution, and progress to fully autonomous Autopilot — at your own pace.