Databricks BI

AI-native BI for your Databricks lakehouse

Connect Basedash to Databricks and build dashboards with plain English. Optimized Databricks SQL, Unity Catalog support, no data movement, no SQL expertise required.

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Quick answer

Basedash is an AI-native BI tool for Databricks that generates optimized dashboards and SQL queries from plain English — connecting directly to your lakehouse with Unity Catalog support, no data movement, and no SQL expertise required.

Lakehouse to dashboard in minutes

Three steps from Databricks connection to live dashboard.

Connect your Databricks workspace

Provide your Databricks SQL warehouse endpoint and credentials. Basedash connects directly — read-only access, no data copying, no ETL pipelines.

AI learns your lakehouse

Basedash reads your Unity Catalog, tables, columns, and metadata. Add business context so the AI understands your domain — what 'active user' or 'revenue' means in your organization.

Ask questions, get dashboards

Describe what you want in plain English. Basedash generates optimized Databricks SQL, runs it against your SQL warehouse, and renders the results as charts and dashboards.

Built for Databricks

Basedash isn't a generic BI tool with a Databricks connector. It's optimized for your lakehouse architecture.

Native Databricks SQL generation

Basedash generates SQL optimized for Databricks SQL warehouses — including Delta Lake operations, Unity Catalog references, and Spark SQL functions.

Unity Catalog aware

The AI understands your Unity Catalog structure including catalogs, schemas, and table permissions. It uses the correct namespaces and respects your governance model.

No data movement

Basedash queries your Databricks SQL warehouse directly. Your data stays in the lakehouse — no copying, no syncing, no additional storage costs.

SQL warehouse compute controls

Run queries against specific SQL warehouses to manage compute costs. Basedash respects your existing warehouse sizing, auto-stop settings, and cluster policies.

Delta Lake support

Query Delta tables with time travel, schema evolution, and ACID transactions. The AI handles DESCRIBE HISTORY and VERSION AS OF operations naturally.

Role-based access

Basedash inherits Databricks Unity Catalog permissions. Team members see only the data their roles permit — no additional access management layer.

Ask questions in English, get Databricks SQL

Basedash generates optimized queries from natural language.

"What is our MRR by plan tier for the last 12 months?"

Generates a Databricks SQL query with proper date functions and catalog references against your billing tables

"Show me daily active users compared to the same period last year"

Builds year-over-year comparison using Delta Lake date functions and window operations

"Which ML models had the highest prediction accuracy this week?"

Queries your ML tracking tables in Unity Catalog with aggregation and ranking

Ask anything about your business

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

Operations Which customers are running into more bugs recently? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Engineering Which services or endpoints have the highest error rates this week? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Data & Analytics Show me revenue and subscription growth. Sales Which organizations that have not converted to paid are the most active? Product Are there any features we added recently that increased engagement? Marketing What should be on a performance dashboard for our account managers? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Sales How many leads are currently close to closing? Sales Which accounts are a churn risk? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Sales Which accounts are likely to expand based on recent product activity? Marketing Which campaigns or channels drove the most leads and conversions this month? Engineering Show recent error logs and users impacted in the last week. Engineering Find domains or metadata for a list of organizations from builder records. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Engineering Which SDK versions or app versions are most error-prone? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Sales Who are the most engaged accounts in the last 14 days? Marketing How many deals or opportunities are in our current campaign from a specific region? Engineering Make table links open detailed views in our admin tool. Operations Filter paid organizations and show their current usage details. Operations Which customers are running into more bugs recently? Data & Analytics Build a quick-start KPI dashboard with filters and best-practice layout. Engineering Which services or endpoints have the highest error rates this week? Product Which product areas are slowing users down (timeouts, latency, error-prone steps)? Marketing Are we seeing a drop in lead volume year over year? Which months and segments are down? Data & Analytics Show me revenue and subscription growth. Sales Which organizations that have not converted to paid are the most active? Product Are there any features we added recently that increased engagement? Marketing What should be on a performance dashboard for our account managers? Data & Analytics How many records/jobs/tasks were created or submitted in a given timeframe? Marketing Which geographies are performing best this quarter by pipeline and closed-won? Sales How many leads are currently close to closing? Sales Which accounts are a churn risk? Data & Analytics Trend key KPIs over time and flag abnormal spikes. Sales Which accounts are likely to expand based on recent product activity? Marketing Which campaigns or channels drove the most leads and conversions this month? Engineering Show recent error logs and users impacted in the last week. Engineering Find domains or metadata for a list of organizations from builder records. Data & Analytics Pull IDs or names for items matching a keyword across connected sources. Engineering Which SDK versions or app versions are most error-prone? Data & Analytics Break down counts by type (categories, forms, service items) and show percentages. Sales Who are the most engaged accounts in the last 14 days? Marketing How many deals or opportunities are in our current campaign from a specific region? Engineering Make table links open detailed views in our admin tool. Operations Filter paid organizations and show their current usage details.

Marketing List Google Ads campaigns and show CPC trends for each. Marketing Which categories or segments contributed the most revenue or transactions? Operations Which tickets are trending by category and time to resolution? Product Which features correlate most with conversion to paid? Product Show onboarding conversion rate compared to last month. Product Which cohorts have the highest week-8 retention? Engineering How many auth configs or connected accounts exist for provider X? Product Show retention by cohort and first-usage month. Engineering Fetch IDs created in a given month for a specific provider or integration. Operations Give me a table of all new users with their signup source/medium. Sales Which opportunities are stuck beyond the expected stage duration? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Product Did anything else spike when a specific feature usage increased? Operations Which customers have open issues tied to performance or reliability? Product What is our WAU/MAU and how is it trending? Sales List all workspaces with an upcoming renewal in the next month. Product Identify the magic moment that predicts long-term engagement. Marketing What is our blended cost per lead and cost per acquisition by channel? Sales What accounts had the largest expansions this quarter? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Operations Surface users who recently hit errors or experienced slow response times. Operations Show customers with at least two visits or repeat usage in the last month. Marketing What is our CAC? Engineering What are the most common errors this month, and what endpoints are causing them? Marketing List Google Ads campaigns and show CPC trends for each. Marketing Which categories or segments contributed the most revenue or transactions? Operations Which tickets are trending by category and time to resolution? Product Which features correlate most with conversion to paid? Product Show onboarding conversion rate compared to last month. Product Which cohorts have the highest week-8 retention? Engineering How many auth configs or connected accounts exist for provider X? Product Show retention by cohort and first-usage month. Engineering Fetch IDs created in a given month for a specific provider or integration. Operations Give me a table of all new users with their signup source/medium. Sales Which opportunities are stuck beyond the expected stage duration? Data & Analytics Identify top entities (e.g., products, practices, segments) by net earnings or volume. Sales What should a sales-facing dashboard include for quick qualification and follow-up? Product Did anything else spike when a specific feature usage increased? Operations Which customers have open issues tied to performance or reliability? Product What is our WAU/MAU and how is it trending? Sales List all workspaces with an upcoming renewal in the next month. Product Identify the magic moment that predicts long-term engagement. Marketing What is our blended cost per lead and cost per acquisition by channel? Sales What accounts had the largest expansions this quarter? Marketing Show campaigns with delivery errors that still spent in the last 24 hours. Operations Surface users who recently hit errors or experienced slow response times. Operations Show customers with at least two visits or repeat usage in the last month. Marketing What is our CAC? Engineering What are the most common errors this month, and what endpoints are causing them?

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 Databricks BI tools

How Basedash compares to traditional Databricks dashboard tools.

Capability	Basedash	Other tools
AI-generated dashboards	Yes	No
Natural language to Databricks SQL	Yes — optimized queries	No
Time to first dashboard	Minutes	Hours to days
Unity Catalog awareness	Full support	Basic connector
Delta Lake features	Time travel, schema evolution	Limited
No-code for business users	Yes	SQL or notebooks only
Additional integrations	750+ sources	Databricks-only
Self-hosting option	Available	Rarely

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Databricks BI FAQ

What is the best BI tool for Databricks?

The best BI tool for Databricks depends on your team's needs. Basedash is designed for teams that want fast, AI-generated dashboards without heavy SQL expertise. It connects directly to Databricks SQL warehouses, generates optimized queries, and lets anyone explore data in plain English. For teams embedded in the Databricks ecosystem, native tools like Databricks SQL dashboards are also available but require more SQL knowledge.

Does Basedash copy data out of Databricks?

No. Basedash queries your Databricks SQL warehouse directly. Your data stays in the lakehouse — Basedash never copies, caches, or stores your raw data. This means no additional storage costs and your Unity Catalog permissions remain the single source of truth.

How does Basedash handle Databricks compute costs?

Basedash lets you specify which SQL warehouse to use for queries. It generates efficient SQL to minimize compute time and respects your existing warehouse auto-stop and scaling policies. You maintain full control over compute costs.

Does Basedash support Unity Catalog?

Yes. Basedash reads your Unity Catalog structure including catalogs, schemas, tables, and views. The AI uses correct three-part naming (catalog.schema.table) and respects your Unity Catalog permissions.

Can non-technical users query Databricks through Basedash?

Yes. Basedash translates natural language questions into Databricks SQL, runs the queries on your SQL warehouse, and returns visual results. Business users can explore lakehouse data and build dashboards without learning SQL or using notebooks.

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