BigQuery BI

AI analytics for Google BigQuery

Build dashboards from your BigQuery data with plain English. Cost-optimized SQL, full support for nested data, and zero data movement.

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Powering analytics for 5000+ teams worldwide

Rated 5/5 across 19 verified reviews from case studies, Product Hunt, G2, and Y Combinator founders

“For a security-conscious company like ours, Basedash instantly clicked. Reports that took weeks are ready in hours.”
Claudio Godoy
AI Agents Lead · Taxfyle
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“We evaluated Omni and other BI tools, but the speed to insight with Basedash is unmatched.”
Greg Demoge
Co-founder & CPO · FullEnrich
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Quick answer

Basedash is an AI-native BI tool for BigQuery that generates cost-optimized dashboards and queries from plain English — connecting directly to your Google BigQuery warehouse with no data movement.

BigQuery to dashboard in minutes

Three steps from project connection to live dashboard.

Connect your BigQuery project
Authenticate with your Google Cloud project and Basedash connects directly to BigQuery. Read-only access, no data copying, full support for datasets and projects.
AI maps your datasets
Basedash reads your BigQuery datasets, tables, views, and column metadata. Add business context so the AI knows what your data means, not just what it looks like.
Prompt to dashboard
Describe what you want to track in plain English. Basedash generates BigQuery-optimized SQL, executes it, and renders live charts and dashboards from the results.

Built for BigQuery

Not a generic BI tool with a BigQuery connector. Basedash understands BigQuery's architecture, cost model, and data types.

Native BigQuery SQL generation

Basedash generates Standard SQL optimized for BigQuery, including UNNEST operations, STRUCT queries, partitioned table filters, and cost-efficient query patterns.

Cost-aware queries

BigQuery charges by bytes scanned. Basedash generates queries that use partition filters, column selection, and efficient joins to minimize your BigQuery costs.

No data movement

Your data stays in BigQuery. Basedash queries it in place, with no exports, ETL pipelines, or extra storage to manage or pay for.

Nested and repeated fields

BigQuery's nested STRUCT and ARRAY types are fully supported. The AI generates proper UNNEST and CROSS JOIN operations to flatten complex data structures automatically.

Multi-project support

Connect multiple BigQuery projects and query across datasets. Basedash handles cross-project references and respects your IAM-based access controls.

Google ecosystem integration

Combine BigQuery with Google Analytics, Google Ads, Google Sheets, and other Google Cloud data already in your warehouse for end-to-end analysis.

Ask questions, get BigQuery results

Basedash generates cost-optimized BigQuery SQL from natural language.

What is our conversion rate by acquisition channel for the last 90 days?
Generates partitioned BigQuery SQL joining your analytics events and attribution tables with date filters
Show me the top 20 pages by organic sessions from Google Analytics
Queries your GA4 export in BigQuery with proper UNNEST operations on nested event parameters
Build a dashboard showing revenue by region and product line
Creates multi-dimension aggregation queries with efficient column selection to minimize BigQuery scan costs

Ask anything about your business

Get instant answers, uncover important trends, and make confident decisions faster.

OperationsGive me a table of all new users with their signup source/medium.ProductShow retention by cohort and first-usage month.MarketingHow many deals or opportunities are in our current campaign from a specific region?MarketingWhich geographies are performing best this quarter by pipeline and closed-won?Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.MarketingWhat is our CAC?MarketingWhat should be on a performance dashboard for our account managers?Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.MarketingList Google Ads campaigns and show CPC trends for each.SalesWhich accounts are a churn risk?MarketingShow campaigns with delivery errors that still spent in the last 24 hours.OperationsShow customers with at least two visits or repeat usage in the last month.MarketingWhich categories or segments contributed the most revenue or transactions?Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?Data & AnalyticsShow me revenue and subscription growth.SalesList all workspaces with an upcoming renewal in the next month.ProductIdentify the magic moment that predicts long-term engagement.EngineeringHow many auth configs or connected accounts exist for provider X?SalesWho are the most engaged accounts in the last 14 days?EngineeringWhat are the most common errors this month, and what endpoints are causing them?SalesHow many leads are currently close to closing?Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.EngineeringWhich SDK versions or app versions are most error-prone?Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.SalesWhat accounts had the largest expansions this quarter?OperationsGive me a table of all new users with their signup source/medium.ProductShow retention by cohort and first-usage month.MarketingHow many deals or opportunities are in our current campaign from a specific region?MarketingWhich geographies are performing best this quarter by pipeline and closed-won?Data & AnalyticsIdentify top entities (e.g., products, practices, segments) by net earnings or volume.MarketingWhat is our CAC?MarketingWhat should be on a performance dashboard for our account managers?Data & AnalyticsPull IDs or names for items matching a keyword across connected sources.MarketingList Google Ads campaigns and show CPC trends for each.SalesWhich accounts are a churn risk?MarketingShow campaigns with delivery errors that still spent in the last 24 hours.OperationsShow customers with at least two visits or repeat usage in the last month.MarketingWhich categories or segments contributed the most revenue or transactions?Data & AnalyticsHow many records/jobs/tasks were created or submitted in a given timeframe?Data & AnalyticsShow me revenue and subscription growth.SalesList all workspaces with an upcoming renewal in the next month.ProductIdentify the magic moment that predicts long-term engagement.EngineeringHow many auth configs or connected accounts exist for provider X?SalesWho are the most engaged accounts in the last 14 days?EngineeringWhat are the most common errors this month, and what endpoints are causing them?SalesHow many leads are currently close to closing?Data & AnalyticsBuild a quick-start KPI dashboard with filters and best-practice layout.EngineeringWhich SDK versions or app versions are most error-prone?Data & AnalyticsBreak down counts by type (categories, forms, service items) and show percentages.SalesWhat accounts had the largest expansions this quarter?

ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?ProductDid anything else spike when a specific feature usage increased?Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.SalesWhich opportunities are stuck beyond the expected stage duration?OperationsSurface users who recently hit errors or experienced slow response times.MarketingWhat is our blended cost per lead and cost per acquisition by channel?ProductAre there any features we added recently that increased engagement?ProductShow onboarding conversion rate compared to last month.ProductWhich features correlate most with conversion to paid?ProductWhich cohorts have the highest week-8 retention?EngineeringWhich services or endpoints have the highest error rates this week?EngineeringShow recent error logs and users impacted in the last week.MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?OperationsFilter paid organizations and show their current usage details.OperationsWhich customers are running into more bugs recently?SalesWhich accounts are likely to expand based on recent product activity?EngineeringMake table links open detailed views in our admin tool.EngineeringFetch IDs created in a given month for a specific provider or integration.OperationsWhich customers have open issues tied to performance or reliability?ProductWhat is our WAU/MAU and how is it trending?MarketingWhich campaigns or channels drove the most leads and conversions this month?EngineeringFind domains or metadata for a list of organizations from builder records.OperationsWhich tickets are trending by category and time to resolution?SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?SalesWhich organizations that have not converted to paid are the most active?ProductWhich product areas are slowing users down (timeouts, latency, error-prone steps)?ProductDid anything else spike when a specific feature usage increased?Data & AnalyticsTrend key KPIs over time and flag abnormal spikes.SalesWhich opportunities are stuck beyond the expected stage duration?OperationsSurface users who recently hit errors or experienced slow response times.MarketingWhat is our blended cost per lead and cost per acquisition by channel?ProductAre there any features we added recently that increased engagement?ProductShow onboarding conversion rate compared to last month.ProductWhich features correlate most with conversion to paid?ProductWhich cohorts have the highest week-8 retention?EngineeringWhich services or endpoints have the highest error rates this week?EngineeringShow recent error logs and users impacted in the last week.MarketingAre we seeing a drop in lead volume year over year? Which months and segments are down?OperationsFilter paid organizations and show their current usage details.OperationsWhich customers are running into more bugs recently?SalesWhich accounts are likely to expand based on recent product activity?EngineeringMake table links open detailed views in our admin tool.EngineeringFetch IDs created in a given month for a specific provider or integration.OperationsWhich customers have open issues tied to performance or reliability?ProductWhat is our WAU/MAU and how is it trending?MarketingWhich campaigns or channels drove the most leads and conversions this month?EngineeringFind domains or metadata for a list of organizations from builder records.OperationsWhich tickets are trending by category and time to resolution?SalesWhat should a sales-facing dashboard include for quick qualification and follow-up?SalesWhich organizations that have not converted to paid are the most active?

All your data in one place

Connect your own warehouse, or use Basedash Warehouse to visualize all your data in one place.

See all 750+ integrations

Basedash vs other BigQuery BI tools

How Basedash compares for teams building on Google BigQuery.

Capability	Basedash	Other tools
AI-generated dashboards	Yes	No
Natural language to BigQuery SQL	Yes — cost-optimized	No
Time to first dashboard	Minutes	Hours to days
Nested data support (STRUCT/ARRAY)	Full automatic UNNEST	Manual SQL required
Cost-aware query generation	Yes — partition filters, column pruning	No optimization
No-code for business users	Yes	SQL-only or limited
Additional integrations	750+ sources	BigQuery-only
Self-hosting option	Available	Rarely

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BigQuery BI FAQ

What is the best BI tool for BigQuery?

For teams that want fast, self-serve dashboards without heavy SQL expertise, Basedash is built for BigQuery with AI-generated, cost-optimized queries. Looker Studio (free) and Looker (enterprise) are also popular for Google ecosystem teams, but require more manual setup and SQL knowledge.

Does Basedash copy data out of BigQuery?

No. Basedash queries your BigQuery warehouse directly in place. Your data stays in Google Cloud — Basedash never copies or caches your raw data. This means no additional storage costs and your IAM access controls remain the source of truth.

How does Basedash manage BigQuery costs?

Basedash generates cost-aware SQL that uses partition filters, selects only the columns needed, and structures queries to minimize bytes scanned. You can also set query byte limits and monitor per-query costs to stay within budget.

Can Basedash query GA4 data exported to BigQuery?

Yes. Many teams export Google Analytics 4 data to BigQuery for deeper analysis. Basedash understands the GA4 export schema and generates proper UNNEST operations to query nested event parameters, user properties, and e-commerce data.

Can non-technical users query BigQuery through Basedash?

Yes. Basedash translates natural language questions into BigQuery SQL, runs the queries, and returns visual results. Business users can explore data and build dashboards without learning SQL or BigQuery-specific syntax like UNNEST and STRUCT.

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