Spend less
on BigQuery
Write SQL that just works
Completions powered by your real schema and data.
- Real-schema completions — tables, columns, values, functions, all from your actual data
- Scope-aware — knows what's visible at every cursor position
- One-click formatting — your style rules, applied instantly
- Pipe syntax — write and convert between standard and |> SQL
- AI completions — schema-aware and validated, never noise
Faster from first keystroke to final result
Set a limit. Then stop worrying.
Budget caps let you run queries with confidence — no need to check the price every time. When you do hit the limit, Querylab.io shows you exactly where to cut.
- Budget limits — set a cap per query, user, or day and run freely
- Cost breakdown — per-CTE, per-column, per-subquery. See exactly what to optimize
- Development mode — test on sampled data, 90-99% cheaper
- Reservation hints — every query runs on whichever billing model costs less
Surprise bills when budget limits are set
From query to insight in seconds
Run, explore, and share results without leaving your editor. Everything you need to deliver answers.
- SQL notebooks — chain queries, add markdown, build reproducible analyses
- Drill down — query your results to go deeper
- Export anywhere — Sheets, CSV, Excel, JSON, DuckDB, or straight to clipboard
- Smart Google Sheets — auto-named tabs, updates in place instead of creating duplicates
- Compare — run two queries side by side and diff the output
- One-click import — drop a file, it lands in BigQuery with schema inferred
From result to deliverable
Stay organized at any scale
Thousands of tables, dozens of queries, multiple projects — everything findable in keystrokes.
- Schema browser — fuzzy search across every project and dataset
- Command palette — Cmd+K for everything
- Query history — every query you've run, searchable and rerunnable
- Vertical tabs — renamable, draggable, never lose track of open queries
Be lost in your flow again
AI that actually knows your data
Prism AI reads your schema, understands your query, and estimates costs before suggesting changes.
- Schema-aware — suggestions match your real tables, columns, and types
- Cost-conscious — estimates query cost before suggesting changes
- Full tool access — format, explain, optimize, debug — not just chat
- You stay in control — review and approve every change
- Your choice of model — Anthropic, OpenAI, or Google. Your queries never train models
Optional — off by default, on when you want it
Everyone explores freely. Your budget stays safe.
Set per-user spending limits based on role — from analysts running their first queries to engineers optimizing production pipelines.
- Per-user budgets — caps by role. New members stay safe, senior engineers get room for complex analysis
- Budget alerts — notified at thresholds, queries blocked before they exceed limits
- Storage insights — physical vs logical billing, see where you're overpaying
- Data profiling — row counts, schema diffs, and table comparisons
- Bulk operations — rename, copy, delete across datasets in clicks
Team spending limits
EnterpriseSaved on storage expenses by switching to physical billing
Security
Your data stays yours
Querylab.io is designed so your data never leaves your control. We see your schema, not your rows.
Browser-first
Query execution, parsing, and results all happen in your browser. Your data never touches our servers.
Privacy by default
We never see your data. BigQuery returns results directly to your browser via Google OAuth 2.0.
Encrypted storage
When you opt in to save queries or settings, everything is encrypted at rest. Nothing stored without your consent.
Secure tokens
Auth tokens encrypted on our servers. Desktop app stores them in your OS Keychain.
SOC 2 Type II
We're working toward SOC 2 Type II compliance.
Self-hosted option
Deploy on your own infrastructure. Full control, no external dependencies.
Questions about security? security@querylab.io
Compare
Why teams choose Querylab.io
Purpose-built for BigQuery. See how we compare.
Pricing that pays for itself
Most teams save more on BigQuery costs than they spend on Querylab.io. Start free, upgrade when you're ready.
Free
For non-commercial use
- Unlimited queries
- Basic AI assistance
- 1 Space
- Query history (7 days)
- Cost preview before every query
- Real-time error diagnostics
- Community support
Teams
Advanced optimization tools for data teams
- Everything in Free
- Full Prism AI access
- Unlimited Spaces
- Query history (unlimited)
- Per-CTE cost breakdown
- Volume discounts available
- Slack support
Enterprise
Governance, budgets, and controls for your organization
- Everything in Teams
- Per-user spending limits by role
- Custom AI model selection
- Budget alerts and prevention
- Dedicated success manager
- On-premise deployment
- SLA guarantees
All plans include automatic updates, secure cloud infrastructure, and GDPR compliance.
Need more? Contact us for custom solutions.
See Your ROI in Seconds
Most teams save 30-50% on BigQuery costs within the first month. Calculate what that means for your budget.
Your Current Spend
Your Estimated Savings
potential monthly savings(71%)
Query Optimization
Reservation vs On-Demand
Smart billing suggestions, 5-60%
/mo
Development Mode
Cut up to 15% on query development costs
/mo
Table & Column Analysis
Optimized storage reduces query scan costs, 12%
/mo
Limits & Budgets
Prevents overspending, up to 5%
/mo
Query Diagnostics
Highlights mistakes, prevents errors, 5%
/mo
Query Cost Insights
Costs, hints, recommendations, 8%
/mo
Storage Optimization
Storage Billing Model
Logical vs physical billing, up to 70%
/mo
Storage Analyzing
Cleanup unused data, reduce footprint, 25%
/mo
* Estimates based on industry benchmarks and BigQuery public pricing. Actual savings vary by usage patterns.
Default split: 80% compute / 20% storage, on-demand pricing, logical storage billing. Compression ratio: 6.69:1 (logical to physical).
Questions? Answers.
Can't find what you're looking for? Reach out
Why switch from BigQuery Studio?
BigQuery Studio works. Querylab.io makes you faster. Real-time completions from your actual schema, errors caught before you run, cost estimates on every query. The difference between functional and productive.
Can I try it before committing?
Yes. 30-day free trial, no credit card. Demo mode lets you explore without connecting BigQuery. Cancel anytime.
What makes Prism AI better than Cursor with MCP?
Cursor is great for code — but BigQuery needs more than text completion. Prism AI validates against your schema, catches errors before execution, estimates cost in real-time, and wraps it in a proper SQL IDE: results grid, history, exports. MCP connects AI to data. Prism builds a workflow around it.
How does it reduce BigQuery costs?
Development Mode samples data for 80–95% cheaper testing. Budget limits block runaway queries. Per-CTE breakdown pinpoints what's expensive. Smart recommendations for reservation vs. on-demand billing.
How long does it take to get started?
Two minutes. Sign in with Google, authorize BigQuery, start writing. No installation, no config, no onboarding calls. Schema loads automatically.
Is there a desktop app?
Yes. Native macOS with secure Keychain storage and native hotkeys. Power Prism AI with Claude Code, Gemini CLI, GitHub Copilot, Cursor, or OpenAI Codex.
Querylab.io is not affiliated with or endorsed by Google LLC.