Is Databricks Genie free?

There is no separate license fee, and model usage is free through January 31, 2027. Serverless SQL compute for each query is billed separately.

Can Databricks Genie query data outside Databricks, like Snowflake or Postgres?

Yes, after the source is registered in Unity Catalog, either natively or through Lakehouse Federation. Supported federated sources include Snowflake, Postgres, MySQL, Redshift, and BigQuery.

How accurate is Databricks AI/BI Genie?

Databricks cites 32% to over 90% in one internal test and 84.5% in another. Both figures are self-reported and use different test sets.

All comparisons

Dot vs Databricks AI/BI Genie

Dot connects data and context across warehouses, Looker, and dbt. Genie fits teams fully governed in Unity Catalog.

What are the differences between Dot and Databricks AI/BI Genie?

Showing 21 of 43 capabilities across 8 categories

02 / 10

Where can users receive answers?

Reachable over MCP from other assistants

Dot: Yes. MCP server works inside external AI assistants
Databricks AI/BI Genie: Partly. Managed MCP server exists; MCP App UI beta Source

Native mobile apps

Dot: No. Web only; no native iOS or Android app
Databricks AI/BI Genie: Yes. Native iOS/Android apps, public preview since Jun 2026 Source

03 / 10

Which data sources can it access?

Warehouse and database connectors

Dot: Yes. 31 native connectors, including Databricks itself
Databricks AI/BI Genie: Partly. Native to Unity Catalog; others need Lakehouse Federation Source

Joins data across separate sources

Dot: Yes. Joins sources within one workspace
Databricks AI/BI Genie: Partly. Needs foreign catalogs registered in Unity Catalog Source

Analyze uploaded files

Dot: Yes. CSV/Excel upload alongside connected warehouse data
Databricks AI/BI Genie: Partly. Preview only, capped at 200MB/100 columns Source

04 / 10

Which business context grounds its answers?

Grounded in dbt models and metrics

Dot: Yes. Grounds directly in dbt models and metrics
Databricks AI/BI Genie: No. Own Unity Catalog semantic layer; no dbt integration Source

Grounded in LookML

Dot: Yes. Grounds directly in LookML explores and measures
Databricks AI/BI Genie: No. No LookML integration; Looker is a separate vendor Source

Other semantic layers

Dot: Yes. Also grounds in Cube, Steep, and its glossary
Databricks AI/BI Genie: Partly. Metric Views is GA; Genie Ontology still preview Source

06 / 10

Who owns and maintains the business logic?

Context stays current when schemas change

Dot: Yes. Schema changes trigger assisted context review
Databricks AI/BI Genie: Partly. Genie Code suggests context edits for review Source

Context remains portable if you leave

Dot: Yes. Readable context and apps stay in your repository
Databricks AI/BI Genie: Partly. Readable JSON export; cross-vendor rewrites remain Source

07 / 10

Which outputs can it produce?

Persistent, filterable dashboards and metric views

Dot: Yes. Pixel-perfect dashboards and polished metric views
Databricks AI/BI Genie: Partly. Dashboard authoring is GA; app builder just announced Source

Exports decks and PDFs

Dot: Yes. Exports finished PowerPoint decks, not only PDF
Databricks AI/BI Genie: Partly. PDF export confirmed; no PowerPoint export found Source

Runs Python for statistical work

Dot: Yes. Answer audit trail includes Python and SQL
Databricks AI/BI Genie: No. Agent Mode is explicitly SQL-only, read-only Source

Notebook or IDE for analysts

Dot: No. No analyst notebook or code IDE workspace
Databricks AI/BI Genie: Yes. Native notebooks: Python, SQL, Scala, R, GA Source

08 / 10

Which governance and security controls are included?

Self-hosting available

Dot: Partly. Self-hosting available at the Enterprise tier
Databricks AI/BI Genie: No. Always Databricks-managed SaaS; no on-prem option Source

Uses the platform's native governance

Dot: No. Separate service; metadata and samples sync to Dot
Databricks AI/BI Genie: Yes. Runs inside the Databricks workspace Source

09 / 10

What is the product built to become?

Purpose-built as a full AI analytics platform

Dot: Yes. Purpose-built for AI analytics across the full workflow
Databricks AI/BI Genie: No. A lakehouse platform expanding into AI analytics

10 / 10

How do pricing and cost controls work?

Public, predictable pricing

Dot: Yes. Published flat $200-$800/mo tiers on the website
Databricks AI/BI Genie: Partly. Per-DBU rate public; total cost needs modeling Source

Hard usage limits, spend visibility, and ROI

Dot: Yes. Set usage limits; track spend and ROI
Databricks AI/BI Genie: Partly. Usage metering and budgets; ROI tracked separately Source

Free tier or trial

Dot: Yes. Free plan, no credit card, unlimited users
Databricks AI/BI Genie: Partly. Free Edition capped, non-commercial, no SLA Source

No new vendor to procure

Dot: No. New vendor: own procurement and security review
Databricks AI/BI Genie: Yes. Bundled into existing Databricks account, no license Source

Across all 43 capabilities

Dot36 supported2 partial5 not available

Databricks AI/BI Genie24 supported13 partial6 not available

Category	Decision point	Dot	Databricks AI/BI Genie
02 / 10Where can users receive answers?	Reachable over MCP from other assistants	Yes. MCP server works inside external AI assistants	Partly. Managed MCP server exists; MCP App UI beta Source
02 / 10Where can users receive answers?	Native mobile apps	No. Web only; no native iOS or Android app	Yes. Native iOS/Android apps, public preview since Jun 2026 Source
03 / 10Which data sources can it access?	Warehouse and database connectors	Yes. 31 native connectors, including Databricks itself	Partly. Native to Unity Catalog; others need Lakehouse Federation Source
	Joins data across separate sources	Yes. Joins sources within one workspace	Partly. Needs foreign catalogs registered in Unity Catalog Source
	Analyze uploaded files	Yes. CSV/Excel upload alongside connected warehouse data	Partly. Preview only, capped at 200MB/100 columns Source
04 / 10Which business context grounds its answers?	Grounded in dbt models and metrics	Yes. Grounds directly in dbt models and metrics	No. Own Unity Catalog semantic layer; no dbt integration Source
	Grounded in LookML	Yes. Grounds directly in LookML explores and measures	No. No LookML integration; Looker is a separate vendor Source
	Other semantic layers	Yes. Also grounds in Cube, Steep, and its glossary	Partly. Metric Views is GA; Genie Ontology still preview Source
06 / 10Who owns and maintains the business logic?	Context stays current when schemas change	Yes. Schema changes trigger assisted context review	Partly. Genie Code suggests context edits for review Source
06 / 10Who owns and maintains the business logic?	Context remains portable if you leave	Yes. Readable context and apps stay in your repository	Partly. Readable JSON export; cross-vendor rewrites remain Source
07 / 10Which outputs can it produce?	Persistent, filterable dashboards and metric views	Yes. Pixel-perfect dashboards and polished metric views	Partly. Dashboard authoring is GA; app builder just announced Source
	Exports decks and PDFs	Yes. Exports finished PowerPoint decks, not only PDF	Partly. PDF export confirmed; no PowerPoint export found Source
	Runs Python for statistical work	Yes. Answer audit trail includes Python and SQL	No. Agent Mode is explicitly SQL-only, read-only Source
	Notebook or IDE for analysts	No. No analyst notebook or code IDE workspace	Yes. Native notebooks: Python, SQL, Scala, R, GA Source
08 / 10Which governance and security controls are included?	Self-hosting available	Partly. Self-hosting available at the Enterprise tier	No. Always Databricks-managed SaaS; no on-prem option Source
08 / 10Which governance and security controls are included?	Uses the platform's native governance	No. Separate service; metadata and samples sync to Dot	Yes. Runs inside the Databricks workspace Source
09 / 10What is the product built to become?	Purpose-built as a full AI analytics platform	Yes. Purpose-built for AI analytics across the full workflow	No. A lakehouse platform expanding into AI analytics
10 / 10How do pricing and cost controls work?	Public, predictable pricing	Yes. Published flat $200-$800/mo tiers on the website	Partly. Per-DBU rate public; total cost needs modeling Source
	Hard usage limits, spend visibility, and ROI	Yes. Set usage limits; track spend and ROI	Partly. Usage metering and budgets; ROI tracked separately Source
	Free tier or trial	Yes. Free plan, no credit card, unlimited users	Partly. Free Edition capped, non-commercial, no SLA Source
	No new vendor to procure	No. New vendor: own procurement and security review	Yes. Bundled into existing Databricks account, no license Source
Across all 43 capabilities		Dot36 supported2 partial5 not available	Databricks AI/BI Genie24 supported13 partial6 not available

Conclusion

Choose for the analytics stack you want to end up with

The decision is not only which tool answers questions today. It is which product can become your analytics platform over time.

Choose Databricks when the lakehouse is the analytics boundary

No separate license fee; model usage is free through January 2027.
Ships native iOS and Android apps; Dot has no mobile app.
Benchmarks set an 80% accuracy target before launch.

Watch out

Out-of-scope questions get plausible answers. Practitioners say Genie can use a nearby metric instead of declining an unsupported question, creating plausible results from incomplete context. ^[1][2]
CSV exports lose data formatting. Reports describe lost decimals and data types in CSV exports, followed by manual repair or a different export path. ^[1][2]

Pricing

Includes 150 free DBUs per user monthly.
Model usage is free through January 31, 2027.
Serverless SQL compute is billed separately at about $0.70/DBU.

Source

Choose Dot for best-of-breed AI analytics that can replace BI

Connect Dot to the data sources and semantic models you already have, then start with one agent. Context, apps, and business logic stay version-controlled in a repository you own, so they never become a Dot-only asset. Add dashboards, reporting, and governed workflows as adoption grows, then retire BI software you no longer need.

Watch out

Dot is growing quickly. Its smaller team may not offer the same level of hands-on support as a larger vendor in every region.

Pricing

Free plan, no credit card
Pro at $200/month, or $180/month billed annually. Unlimited users.
Team at $800/month, or $720/month billed annually. Adds single sign-on and row-level security.
Enterprise is custom: self-hosting, SLAs, and volume terms

Full pricing

Why the pricing model matters

Frontier AI has variable inference cost. A vendor that relies only on seat pricing must eventually meter AI, absorb the cost, or limit capability. Dot makes usage visible, lets teams set limits, and tracks the return on that spend.

Receipts

Benchmarked against human analysts, and measured in production

DABStep is Adyen’s public data-analysis benchmark. Dot scored above trained human analysts. It is independently published and available to inspect. In production, customers report these outcomes.

18× ROI

Choco, from time saved on analytics

12,000+ hours

saved every year at Duolingo, across 5,000+ tables

99% faster

time-to-insight at Emerge

€800K found

in a single investigation at KRY

Every Dot answer shows its work. Click any number to inspect the query.