Trusted by data teams running BigQuery at scale
Connect in minutes
One service account. Full BigQuery visibility.
Connect BigQuery with a read-only service account and DoiT ingests billing export, INFORMATION_SCHEMA job and storage metadata, and reservation usage automatically. No agents, no query rewrites, no custom pipelines. You're looking at unified reports within hours of connecting.
What you get
Built for the realities of running on BigQuery
The things data and FinOps leaders actually ask us for when they connect their BigQuery environment.
Query-level cost attribution
Tie bytes scanned and slot-ms back to the user, project, dataset, or scheduled job that ran them.
Real-time anomalies
Get alerted on query and slot spikes in minutes, not at month-end.
Slot rightsizing
See where editions, autoscaling, and reservation sizes are misaligned with actual demand.
Storage vs compute split
Separate active, long-term, and physical storage from query spend across every dataset.
Expensive query detection
Surface the top queries by bytes scanned and slot consumption, including repeat offenders running on schedule.
Governance and budgets
Set per-project budgets and query quotas without chasing label hygiene by hand.
Native BigQuery views tell you what ran. Cloud Intelligence™ helps you do something about it.
Beyond INFORMATION_SCHEMA
Multi-project rollups
Consolidated views across every BigQuery project and folder, with drilldown into any dataset or job.
Real-time anomaly alerts
Machine-learning detection across projects, users, and labels, routed to Slack or email.
Reservation planning
Model BigQuery editions and slot commitments against actual job history before you buy capacity.
Label and allocation hygiene
Find unlabeled spend, enforce allocation rules, and split shared datasets the way finance expects.
Pipeline cost allocation
Attribute scheduled queries, dbt runs, and Dataform workflows back to the team that owns them.
Forward Deployed Engineers
World-class cloud architects who work as an extension of your team to implement optimizations.
Fast-growing companies run on DoiT Cloud Intelligence™
Avg. savings within first 90 days
Avg implementation time
“DoiT's focus on reliability, mixed with the system's flexibility, helps us safely optimize our Amazon EKS workloads with zero-touch from our engineers.”
Oren Ashkenazy
Director of DevOps and Cloud at Fiverr
Ready to connect your BigQuery projects?
Turn slot-ms and bytes scanned into decisions.
Frequently asked
questions
How do I get better visibility into BigQuery costs across multiple projects?
Connect your billing account once. Cloud Intelligence™ ingests the BigQuery billing export and INFORMATION_SCHEMA metadata for every project, so you can slice spend by project, dataset, label, user, or job type from a single view.
What's the best way to integrate BigQuery usage data with Cloud Intelligence™?
Grant a read-only service account access to your billing export and INFORMATION_SCHEMA. DoiT handles ingestion, normalization, and reporting at job-level granularity. Most teams are live within a day.
How can I see which queries, users, or datasets drive most of my BigQuery spend?
Cost & Usage reports let you drill from total BigQuery spend down to a specific job, scheduled query, or user. You can filter by labels, projects, datasets, or query type without writing your own INFORMATION_SCHEMA SQL.
How can I monitor BigQuery cost anomalies in real-time?
Anomaly detection runs continuously across projects, users, and label dimensions. When bytes scanned or slot consumption spikes, you get a Slack or email alert with the likely cause, long before it shows up on the invoice.
How do I decide between on-demand and BigQuery editions with reservations?
Cloud Intelligence™ models your historical job patterns against on-demand, Standard, Enterprise, and Enterprise Plus editions, and recommends slot commitments and autoscaling settings based on actual usage rather than guesswork.
How can I get visibility into BigQuery storage costs?
We separate active storage, long-term storage, and physical vs logical billing per dataset and table, and flag tables where switching billing model or applying partition expiration would meaningfully reduce spend.
How is Cloud Intelligence™ different from BigQuery's built-in admin and INFORMATION_SCHEMA views?
Native views show you raw job and storage metadata. Cloud Intelligence™ is a platform: multi-cloud visibility, proactive recommendations, real-time anomaly detection, governance, reservation planning, and forward deployed engineers who help you act on what the data shows.
Is my data secure when I connect BigQuery?
Cloud Intelligence™ uses a read-only service account with least-privilege permissions on billing export and INFORMATION_SCHEMA. We never query your tables or make changes without your approval, and the platform is SOC 2 Type II certified.