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.
14-day trial, no credit card required.
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.
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+ integrationsBasedash 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 |
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.
Get started in under 30 minutes
We can help you migrate your data and dashboards from any other tool.