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AI SQL assistant

Ask questions in English, get SQL and charts

Basedash turns natural language into optimized SQL queries, runs them against your warehouse, and returns interactive visualizations. No SQL knowledge required.

14-day trial, no credit card required.

Quick answer

Basedash is an AI SQL assistant that turns plain English questions into optimized SQL queries, runs them against your data warehouse, and returns interactive charts and dashboards — no SQL expertise needed.

Question to answer in seconds

Three steps from question to insight.

1

Connect your database

Link your data warehouse, database, or SaaS tools. Basedash supports Snowflake, BigQuery, PostgreSQL, Databricks, and more.

2

Ask a question in plain English

Type what you want to know — 'What was our churn rate last quarter?' — and the AI generates the SQL, runs it, and returns results.

3

Get charts, not just rows

Basedash doesn't stop at query results. It generates visualizations, suggests follow-up questions, and lets you save everything to a dashboard.

See it in action

Real questions, real SQL, real results.

"What was our monthly recurring revenue by plan tier for the last 6 months?"

Generates a JOIN across subscriptions and billing tables with proper date truncation and grouping

"Which customers have declining usage compared to last month?"

Creates a CTE comparing month-over-month event counts per account, filtered to negative deltas

"Show me the conversion funnel from signup to first purchase"

Builds a multi-step funnel query across your events table with stage-by-stage drop-off rates

"What are the top 5 features by adoption among enterprise accounts?"

Joins feature usage data with account tiers, aggregates, and ranks by distinct active users

Smarter than generic AI

Basedash generates better SQL because it understands your data, not just your schema.

Context-aware SQL generation

Basedash understands your schema, table relationships, and custom business context. It generates SQL that uses the right tables, joins, and metric definitions — not generic guesses.

No SQL knowledge required

Anyone on your team can ask data questions in plain English. The AI handles query writing, optimization, and execution. Technical users can review and edit the generated SQL.

Instant visualizations

Results are automatically rendered as charts, tables, and summaries. Save any result to a dashboard or share it with your team in one click.

Multi-source queries

Ask questions that span multiple data sources. Basedash can combine CRM, billing, product usage, and warehouse data in a single answer.

Governed metric definitions

Define what 'active user' or 'churn rate' means once, and the AI uses those definitions consistently. No more conflicting numbers across teams.

Iterative refinement

Follow up on any result with natural language. Ask 'Break that down by region' or 'Exclude trial accounts' and the AI refines the query in context.

Ask anything about your business

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

Product Are there any features we added recently that increased engagement? Marketing List Google Ads campaigns and show CPC trends for each. Sales Who are the most engaged accounts in the last 14 days? Sales Which accounts are likely to expand based on recent product activity? Operations Surface users who recently hit errors or experienced slow response times. 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. Data & Analytics Show me revenue and subscription growth. Product Which cohorts have the highest week-8 retention? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Sales What accounts had the largest expansions this quarter? Operations Which customers have open issues tied to performance or reliability? Engineering Show recent error logs and users impacted in the last week. Sales Which opportunities are stuck beyond the expected stage duration? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Sales Which accounts are a churn risk? Marketing What is our blended cost per lead and cost per acquisition by channel? Marketing Which categories or segments contributed the most revenue or transactions? Product Did anything else spike when a specific feature usage increased? 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. Engineering Which SDK versions or app versions are most error-prone? Engineering How many auth configs or connected accounts exist for provider X? Product Identify the magic moment that predicts long-term engagement. Marketing Which campaigns or channels drove the most leads and conversions this month? Product Are there any features we added recently that increased engagement? Marketing List Google Ads campaigns and show CPC trends for each. Sales Who are the most engaged accounts in the last 14 days? Sales Which accounts are likely to expand based on recent product activity? Operations Surface users who recently hit errors or experienced slow response times. 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. Data & Analytics Show me revenue and subscription growth. Product Which cohorts have the highest week-8 retention? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Sales What accounts had the largest expansions this quarter? Operations Which customers have open issues tied to performance or reliability? Engineering Show recent error logs and users impacted in the last week. Sales Which opportunities are stuck beyond the expected stage duration? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Sales Which accounts are a churn risk? Marketing What is our blended cost per lead and cost per acquisition by channel? Marketing Which categories or segments contributed the most revenue or transactions? Product Did anything else spike when a specific feature usage increased? 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. Engineering Which SDK versions or app versions are most error-prone? Engineering How many auth configs or connected accounts exist for provider X? Product Identify the magic moment that predicts long-term engagement. Marketing Which campaigns or channels drove the most leads and conversions this month?
Engineering Make table links open detailed views in our admin tool. Product Which features correlate most with conversion to paid? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Operations Filter paid organizations and show their current usage details. Engineering Find domains or metadata for a list of organizations from builder records. Marketing How many deals or opportunities are in our current campaign from a specific region? Operations Which customers are running into more bugs recently? Operations Show customers with at least two visits or repeat usage in the last month. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Engineering What are the most common errors this month, and what endpoints are causing them? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Operations Which tickets are trending by category and time to resolution? Sales Which organizations that have not converted to paid are the most active? Engineering Which services or endpoints have the highest error rates this week? Sales How many leads are currently close to closing? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Product What is our WAU/MAU and how is it trending? Product Show onboarding conversion rate compared to last month. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Product Show retention by cohort and first-usage month. Marketing What is our CAC? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing What should be on a performance dashboard for our account managers? Engineering Make table links open detailed views in our admin tool. Product Which features correlate most with conversion to paid? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Operations Filter paid organizations and show their current usage details. Engineering Find domains or metadata for a list of organizations from builder records. Marketing How many deals or opportunities are in our current campaign from a specific region? Operations Which customers are running into more bugs recently? Operations Show customers with at least two visits or repeat usage in the last month. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Engineering What are the most common errors this month, and what endpoints are causing them? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Sales What should a sales-facing dashboard include for quick qualification and follow-up? Operations Which tickets are trending by category and time to resolution? Sales Which organizations that have not converted to paid are the most active? Engineering Which services or endpoints have the highest error rates this week? Sales How many leads are currently close to closing? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Product What is our WAU/MAU and how is it trending? Product Show onboarding conversion rate compared to last month. Marketing Which geographies are performing best this quarter by pipeline and closed-won? Product Show retention by cohort and first-usage month. Marketing What is our CAC? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Marketing What should be on a performance dashboard for our account managers?

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
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Basedash vs other AI SQL tools

How Basedash compares to generic AI query assistants.

Capability Basedash Other tools
Natural language to SQL Yes — context-aware Basic or none
Auto-generated visualizations Yes Query results only
Business context awareness Custom definitions Schema-only
Multi-source queries 750+ sources Single database
Non-technical user access Full self-serve SQL required
Dashboard generation From chat to dashboard Manual setup
Iterative follow-up queries Yes — conversational Start over each time
Self-hosting Available Rarely

AI SQL assistant FAQ

What is an AI SQL assistant?

An AI SQL assistant translates natural language questions into SQL queries. Instead of writing SELECT statements manually, you describe what you want to know and the AI generates, optimizes, and executes the query against your database or warehouse.

Do I need to know SQL to use Basedash?

No. Basedash is designed for teams where not everyone writes SQL. Business users ask questions in plain English, and the AI generates the queries. Technical users can review, edit, and approve the generated SQL when needed.

How does Basedash generate better SQL than generic AI tools?

Basedash understands your specific schema, table relationships, and custom business context — like what 'active user' or 'MRR' means in your organization. Generic AI tools work from raw schema only and miss these domain-specific nuances.

Can I use Basedash alongside my existing BI tools?

Yes. Many teams use Basedash as a conversational layer on top of their existing warehouse and BI stack. It connects to the same data sources without requiring migration.

What databases does the AI SQL assistant support?

Basedash connects to Snowflake, BigQuery, PostgreSQL, Databricks, MySQL, ClickHouse, and 750+ other data sources. The AI generates dialect-specific SQL optimized for your warehouse.

Get started in under 30 minutes

We can help you migrate your data and dashboards from any other tool.