BigQuery BI

AI-native BI 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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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 — no exports, no ETL pipelines, no additional 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.

Sales What should a sales-facing dashboard include for quick qualification and follow-up? Engineering Find domains or metadata for a list of organizations from builder records. Engineering What are the most common errors this month, and what endpoints are causing them? Product Show retention by cohort and first-usage month. Operations Which customers are running into more bugs recently? Product Did anything else spike when a specific feature usage increased? Product What is our WAU/MAU and how is it trending? Product Which cohorts have the highest week-8 retention? Operations Surface users who recently hit errors or experienced slow response times. Marketing List Google Ads campaigns and show CPC trends for each. Engineering Make table links open detailed views in our admin tool. Operations Which customers have open issues tied to performance or reliability? Marketing What should be on a performance dashboard for our account managers? Sales Which accounts are a churn risk? Operations Filter paid organizations and show their current usage details. Engineering Which SDK versions or app versions are most error-prone? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Operations Give me a table of all new users with their signup source/medium. Sales Which accounts are likely to expand based on recent product activity? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing How many deals or opportunities are in our current campaign from a specific region? Sales What accounts had the largest expansions this quarter? Marketing Which campaigns or channels drove the most leads and conversions this month? Product Identify the magic moment that predicts long-term engagement. Sales Who are the most engaged accounts in the last 14 days? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Engineering Find domains or metadata for a list of organizations from builder records. Engineering What are the most common errors this month, and what endpoints are causing them? Product Show retention by cohort and first-usage month. Operations Which customers are running into more bugs recently? Product Did anything else spike when a specific feature usage increased? Product What is our WAU/MAU and how is it trending? Product Which cohorts have the highest week-8 retention? Operations Surface users who recently hit errors or experienced slow response times. Marketing List Google Ads campaigns and show CPC trends for each. Engineering Make table links open detailed views in our admin tool. Operations Which customers have open issues tied to performance or reliability? Marketing What should be on a performance dashboard for our account managers? Sales Which accounts are a churn risk? Operations Filter paid organizations and show their current usage details. Engineering Which SDK versions or app versions are most error-prone? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Operations Give me a table of all new users with their signup source/medium. Sales Which accounts are likely to expand based on recent product activity? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Marketing How many deals or opportunities are in our current campaign from a specific region? Sales What accounts had the largest expansions this quarter? Marketing Which campaigns or channels drove the most leads and conversions this month? Product Identify the magic moment that predicts long-term engagement. Sales Who are the most engaged accounts in the last 14 days?

Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Engineering Which services or endpoints have the highest error rates this week? Product Which features correlate most with conversion to paid? Engineering Show recent error logs and users impacted in the last week. Marketing Which categories or segments contributed the most revenue or transactions? Product Are there any features we added recently that increased engagement? Sales Which opportunities are stuck beyond the expected stage duration? Sales Which organizations that have not converted to paid are the most active? Marketing What is our blended cost per lead and cost per acquisition by channel? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Product Show onboarding conversion rate compared to last month. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Sales List all workspaces with an upcoming renewal in the next month. Engineering Fetch IDs created in a given month for a specific provider or integration. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Engineering How many auth configs or connected accounts exist for provider X? Operations Show customers with at least two visits or repeat usage in the last month. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales How many leads are currently close to closing? Data & Analytics Show me revenue and subscription growth. Operations Which tickets are trending by category and time to resolution? Marketing What is our CAC? Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Engineering Which services or endpoints have the highest error rates this week? Product Which features correlate most with conversion to paid? Engineering Show recent error logs and users impacted in the last week. Marketing Which categories or segments contributed the most revenue or transactions? Product Are there any features we added recently that increased engagement? Sales Which opportunities are stuck beyond the expected stage duration? Sales Which organizations that have not converted to paid are the most active? Marketing What is our blended cost per lead and cost per acquisition by channel? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Product Show onboarding conversion rate compared to last month. Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Sales List all workspaces with an upcoming renewal in the next month. Engineering Fetch IDs created in a given month for a specific provider or integration. Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Engineering How many auth configs or connected accounts exist for provider X? Operations Show customers with at least two visits or repeat usage in the last month. Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales How many leads are currently close to closing? Data & Analytics Show me revenue and subscription growth. Operations Which tickets are trending by category and time to resolution? Marketing What is our CAC? Data & Analytics Pull IDs or names for items matching a keyword across connected sources.

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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