Query BigQuery with AI, explore datasets visually, and build analytics dashboards — all from your browser.
Build with AI at the core. Generate BigQuery queries from plain English, scaffold dashboards, and ship internal tools — all schema-aware and grounded in your BigQuery data.
Your infra, your data. Run QueryPlane on your own servers — no data ever leaves.
A real editor. BigQuery autocomplete, syntax highlighting, and instant results.
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Visualize anything. Tables, line, bar, and pie charts wired straight to your queries.
Drag and drop. Compose forms, tables, and admin tools backed by your live schema — no frontend code required.
One workspace for BigQuery. From query to production app.
Get up and running with BigQuery in three simple steps
Step 1
Authenticate with your Google Cloud service account or OAuth credentials. Select your project and QueryPlane automatically discovers all available datasets, tables, and views.
Step 2
Write BigQuery SQL with autocomplete that understands your datasets, tables, and column types. Use AI to generate queries from natural language, including BigQuery-specific syntax like UNNEST, STRUCT, and ML functions.
Step 3
Visualize query results as charts and tables. Build analytics dashboards, monitor costs, and share insights with your team — all without leaving your browser.
Everything you need to work with BigQuery
Browse projects, datasets, tables, and views across your BigQuery environment. See column types, partitioning schemes, clustering keys, and table metadata at a glance.
Describe your analysis in plain English and get working BigQuery SQL — including UNNEST for repeated fields, STRUCT operations, window functions, and BigQuery ML model queries.
Every query is saved with execution time and bytes processed metadata. Share queries with your team, track costs per query, and build a shared analytics library.
Connect to production BigQuery projects safely. Control access with Google Cloud IAM integration and prevent accidental table modifications with read-only connection settings.
Invite analysts and engineers to collaborate on BigQuery queries and dashboards. Share connections, organize queries into projects, and maintain consistent analytics across your team.
Export query results to CSV or JSON. Handle large BigQuery result sets efficiently and schedule recurring exports to feed downstream data pipelines and reports.
Common ways teams use QueryPlane with BigQuery
Build interactive analytics dashboards on top of your BigQuery data warehouse. Visualize metrics, add filters and date ranges, and share live dashboards with stakeholders.
Monitor BigQuery costs by tracking bytes processed per query, slot utilization, and storage costs. Identify expensive queries and optimize your BigQuery spending.
Discover and explore datasets across your Google Cloud projects. Preview table data, understand schemas, and find the right tables for your analysis without navigating the GCP console.
Create and manage scheduled queries that run on a recurring basis. Monitor execution history, check for failures, and build automated data transformation pipelines.
Everything you need to know about QueryPlane and BigQuery
In QueryPlane, click 'New Connection', select BigQuery, and authenticate with your Google Cloud service account JSON key or use OAuth to sign in with your Google account. QueryPlane automatically discovers your projects, datasets, and tables.
QueryPlane is a browser-based BigQuery GUI that offers a richer experience than the BigQuery console. It includes AI-powered SQL generation, cross-database querying, team collaboration, and dashboard building — all in one tool without switching between GCP services.
Yes. While Google provides the BigQuery console, QueryPlane offers a more powerful browser-based experience with AI SQL assistance, saved query libraries, cost tracking per query, and the ability to query BigQuery alongside your other databases in one interface.
QueryPlane offers a free tier that lets you connect to BigQuery, run queries, and explore datasets. Paid plans add team collaboration, dashboard building, query sharing, and advanced features. Note that standard BigQuery compute costs from Google still apply.
Stop writing boilerplate. Start building the tools your team actually needs—in minutes, not months.