Don't read the price list, apply it: see cost per user, query and table, and compare on-demand vs Editions using your real BigQuery workload, not estimates.
Analyze my BigQuery — free →No credit card · Metadata only · No table data read
4 projects/users would cost less in an autoscaling reservation.
On-demand queries that would be cheaper under slot billing.
1 autoscaling reservation could be ~34% cheaper with fluid scaling.
Biq Blue replays your last months of jobs under each pricing model, so you know which one would have been cheaper for your workload — per project, per user, per job.
Which projects, users and jobs would cost less under slot billing, and which ones should stay on-demand.
Idle slots, autoscaling headroom and baseline: how much capacity you pay for without using it.
Logical vs physical storage per dataset, and the tables nobody reads anymore.
Drill down from the total to the exact query, user or table behind each euro.
The repeated and expensive queries, with partitioning, clustering and BI Engine suggestions.
People, service accounts, dbt runs, Looker Studio reports and Sheets connectors, each with its cost.
Daily limits, cost spikes, lagging jobs and slot starvation, before they show up on the invoice.
The first month is free, without a credit card. Then one plan, every feature included, cancel anytime.
Flat rate, up to 30 BigQuery users.
Above 30 BigQuery users. Users are the people and service accounts that ran a job last month.
Biq Blue reads BigQuery metadata, never your tables.
First month free · No credit card · Cancel anytime