Expensive queries
- Queries that scan whole tables
- Missing partition filters
- Repeated heavy joins
- Queries worth rewriting
Optimize every query. Every workload. Every dollar.
Data Cloud Optimization is one of the four solutions in Finitizer CloudIQ. It lowers the cost of your data warehouse by looking inside the workload: the queries, the slots they run on, and the tables they read. Today it covers Google BigQuery.
What it finds
Slot capacity
- Idle reserved slots
- Oversized baselines
- Autoscaling settings
- On-demand versus Editions fit
Table storage
- Missing partitioning and clustering
- Physical versus logical billing
- Unused materialized views
- Oversized tables
Ownership
- Cost by user and project
- Budgets and anomaly alerts
- Chargeback by team
How it helps
Data Cloud Optimization reads query history and execution details, not just the bill, so it can say which query or table drives the cost. Each finding comes with the saving, the cause and a prepared fix: a SQL rewrite, a table change or a reservation setting, for your data engineers to review.
BigQuery cost optimization in detail
See what drives BigQuery costs, what Finitizer optimizes, and the BigQuery Optimization Playbook.
Frequently asked questions
What is data cloud optimization?
Data cloud optimization reduces what you pay for a cloud data warehouse by fixing the queries, capacity and storage behind the bill, rather than only reporting it.
Which data platforms does Finitizer support?
Google BigQuery today. Finitizer works at the query, slot and table level in BigQuery.
Does Finitizer change my queries or tables?
No. Finitizer prepares each change, such as a SQL rewrite or a partitioning change, for your data engineers to review and apply.
How do I get started?
Get a free Cloud Cost Assessment, or try the free BigQuery cost tools first.