BigQuery, optimized
at every byte scanned.
Automatically.
On-demand billing hides the problem until the invoice arrives. Reservations overprovision. The real waste — full-table scans, partition anti-patterns, oversized slot commitments — is inside your queries. Unravel finds it and fixes it autonomously.
Unravel sees every query, every Dataform run, every byte scanned. Then rewrites the ones causing the bill.
A BigQuery environment is thousands of queries across hundreds of projects. Most tools stop at billing reports. Unravel goes deeper — when Arvix finds the query disabling partition pruning or scanning more than it should, it generates the rewrite, shows the side-by-side diff, validates against a 30-day workload, and lets you AutoApply or send for review.
Same problem. Two very different outcomes.
Pick a scenario. See what happens with your LLM — and with Arvix.
Always on. Always fixing.
Three agents. Every BigQuery problem category. They act — or ask — depending on how much autonomy you want.
You probably already have tools. Here's where they stop.
Every category solves part of the problem. Unravel is the only one that closes the loop.
Enterprise teams. Proven results.
Running BigQuery at scale across financial services, retail, healthcare, and beyond.
“Our on-demand BigQuery bill jumped overnight, and we couldn’t tell why. Unravel’s data engineering agent traced it to forty queries with DATE() wrappers killing partition pruning, generated the rewrites, and cut our scan volume in half in three weeks.”
“Our analytics engineers were chasing job-level costs across a hundred-plus BigQuery projects with home-grown dashboards. Unravel surfaced the worst offenders, generated query rewrites, and gave us the workload-level attribution Google’s own tools could no deliver.”
“Our lift-and-shift to BigQuery hid the inefficiencies. Costs were tracked at the project level, so we couldn’t see which queries to fix. Unravel surfaced them, generated the rewrites, and put a 2x ROI guarantee in the contract before we signed.”
Commonly asked questions about our BigQuery optimization platform
Yes. BigQuery is serverless, meaning that you do not need to deploy compute or storage. BigQuery pricing includes compute and storage costs and depends on the type of analysis, type and amount of storage, data ingestion and other factors. You can also reserve compute capacity to reduce processing costs. Estimate BigQuery costs online with the Google Cloud pricing calculator.
Yes. Unravel supports both on-demand compute pricing and BigQuery Editions. For example, Unravel can help you improve cost efficiency by recommending a different pricing plan. Unravel can also recommend the minimum and maximum slot settings depending on your workload.
Yes. Unravel alerts can be generated by setting AutoActions. For example, you can use an AutoAction to notify you about a situation that requires manual intervention, such as resource contention or stuck jobs.
Yes. Unravel provides AI-powered recommendations to help you improve query efficiency. Optimal SQL queries enable you to accelerate results and serve more user requests with your existing BigQuery resources. For example, Unravel helps you make better use of partition and cluster keys, improve performance with partition pruning, and avoid common anti-patterns such as SELECT * on "wide" tables that contain a large number of infrequently-used columns.
Yes. Unravel can be set up to automatically create and configure resources in more than 100 projects at a time. You can either add single projects or multiple projects at a time for Unravel monitoring. These projects can be added either with customer-supplied credentials or with Unravel-generated credentials.
Yes. You can create custom dashboards using a collection of pre-built components. Custom dashboards help you improve communication and collaboration between teams and give leaders visibility to key metrics.
Yes. You can create new alerts using a flexible set of criteria and communications platforms integrations. Custom alerts effectively provides an early warning system to alert you of resource usage spikes before it hits the cloud bill.
Unravel provides granular Insights, recommendations, and automation for before, during and after your Spark, Hadoop and data migration to BigQuery. Unravel for BigQuery is a complete data platform optimization solution to help you tune, troubleshoot, cost-optimize, and ensure data quality on BigQuery. Unravel provides AI-powered recommendations and automated actions to enable intelligent optimization of data pipelines and data applications.
Yes, Unravel includes showback/chargeback reports for BigQuery compute and storage costs by projects and users. You can specify the reporting time window to match your organization's budgeting cycle.
