Can ChatGPT connect directly to Snowflake or BigQuery?

Partly. Custom GPT Actions can connect to Snowflake, but the team must build and maintain the integration. Dot packages 31 governed connections.

Is ChatGPT Team the same thing as ChatGPT Business?

Yes. OpenAI renamed Team to Business on August 29, 2025. Business costs $25 per user monthly or $20 annually, with a two-seat minimum.

Does ChatGPT Company Knowledge replace a data analyst?

No. Company Knowledge searches connected apps and cites sources, but it does not query databases, validate numbers, or use a metrics glossary.

All comparisons

Dot vs ChatGPT

Dot is built for governed answers from live warehouse data. ChatGPT covers broad writing, coding, and file analysis.

What are the differences between Dot and ChatGPT?

Showing 23 of 43 capabilities across 9 categories

02 / 10

Where can users receive answers?

Native Microsoft Teams app

Dot: Yes. Native Microsoft Teams chat app
ChatGPT: No. No first-party Teams chat app Source

Native mobile apps

Dot: No. Web only; no native iOS or Android app
ChatGPT: Yes. Native iOS, Android, Mac, and Windows apps Source

03 / 10

Which data sources can it access?

Warehouse and database connectors

Dot: Yes. 31 live connectors incl. Snowflake, BigQuery, Databricks
ChatGPT: Partly. Custom GPT Actions connect directly to Snowflake Source

Joins data across separate sources

Dot: Yes. Query multiple connected warehouses together, one workspace
ChatGPT: Partly. Searches connected apps, not databases Source

04 / 10

Which business context grounds its answers?

Grounded in dbt models and metrics

Dot: Yes. SQL grounded directly in your dbt models
ChatGPT: No. No dbt integration published Source

Grounded in LookML

Dot: Yes. Grounds answers directly in Looker/LookML definitions
ChatGPT: No. No Looker/LookML integration published Source

Other semantic layers

Dot: Yes. Also grounds in Cube and Steep
ChatGPT: No. No BI semantic-layer grounding at all Source

Your own metric and term definitions

Dot: Yes. Org-wide metrics and business-terms glossary, taught once
ChatGPT: Partly. Custom GPTs hold instructions, not governed glossary Source

05 / 10

How do you know the data is correct?

Shows the SQL behind every number

Dot: Yes. Click any number to open its SQL
ChatGPT: Partly. Shows Python on files, never warehouse SQL Source

Regression tests for important questions

Dot: Yes. Per-org eval suites, feedback-driven improvement
ChatGPT: No. No eval framework for accuracy on your data Source

Learns from feedback with human approval

Dot: Yes. Feedback proposes improvements for human approval
ChatGPT: No. No workspace-agent feedback learning loop documented Source

06 / 10

Who owns and maintains the business logic?

Context and apps use Git and pull requests

Dot: Yes. Every publish is versioned through Git and PRs
ChatGPT: Partly. Git-backed plugins provide versioned reusable context Source

Context stays current when schemas change

Dot: Yes. Schema changes trigger assisted context review
ChatGPT: No. No automatic schema-change context maintenance documented Source

07 / 10

Which outputs can it produce?

Scheduled reports

Dot: Yes. Scheduled PowerPoint and PDF reviews with analysis
ChatGPT: Partly. Scheduled Tasks exist, not templated reviews Source

Conditional alerts and monitoring

Dot: Yes. Alerts fire only when threshold is met
ChatGPT: Partly. Scheduled agents run workflows and send notifications Source

White labeling and embedded analytics

Dot: Partly. Dashboard embedding; limited white-label controls
ChatGPT: No. No embedded analytics or white-label BI product Source

Notebook or IDE for analysts

Dot: No. No analyst notebook or code IDE
ChatGPT: Partly. Canvas runs Python only, no SQL Source

08 / 10

Which governance and security controls are included?

Single sign-on

Dot: Yes. SSO via OIDC: Okta, Entra, Google, any
ChatGPT: Partly. SSO/SCIM only on Enterprise/Edu, sold via sales Source

Every query uses the asker's permissions

Dot: Yes. Row-level security on each query
ChatGPT: Partly. Snowflake OAuth preserves each user's warehouse role Source

Security audit log

Dot: Yes. Security audit log with a SIEM API
ChatGPT: Partly. Adoption analytics only; raw logs need Compliance API Source

Self-hosting available

Dot: Partly. Self-hosting only at Enterprise tier
ChatGPT: No. Cloud-only; no self-hosted deployment sold 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
ChatGPT: No. A general-purpose AI assistant extended through plugins

10 / 10

How do pricing and cost controls work?

Hard usage limits, spend visibility, and ROI

Dot: Yes. Set usage limits; track spend and ROI
ChatGPT: Partly. Seat or contract limits; ROI tracked separately Source

Across all 43 capabilities

Dot36 supported2 partial5 not available

ChatGPT18 supported12 partial13 not available

Category	Decision point	Dot	ChatGPT
02 / 10Where can users receive answers?	Native Microsoft Teams app	Yes. Native Microsoft Teams chat app	No. No first-party Teams chat app Source
02 / 10Where can users receive answers?	Native mobile apps	No. Web only; no native iOS or Android app	Yes. Native iOS, Android, Mac, and Windows apps Source
03 / 10Which data sources can it access?	Warehouse and database connectors	Yes. 31 live connectors incl. Snowflake, BigQuery, Databricks	Partly. Custom GPT Actions connect directly to Snowflake Source
03 / 10Which data sources can it access?	Joins data across separate sources	Yes. Query multiple connected warehouses together, one workspace	Partly. Searches connected apps, not databases Source
04 / 10Which business context grounds its answers?	Grounded in dbt models and metrics	Yes. SQL grounded directly in your dbt models	No. No dbt integration published Source
	Grounded in LookML	Yes. Grounds answers directly in Looker/LookML definitions	No. No Looker/LookML integration published Source
	Other semantic layers	Yes. Also grounds in Cube and Steep	No. No BI semantic-layer grounding at all Source
	Your own metric and term definitions	Yes. Org-wide metrics and business-terms glossary, taught once	Partly. Custom GPTs hold instructions, not governed glossary Source
05 / 10How do you know the data is correct?	Shows the SQL behind every number	Yes. Click any number to open its SQL	Partly. Shows Python on files, never warehouse SQL Source
	Regression tests for important questions	Yes. Per-org eval suites, feedback-driven improvement	No. No eval framework for accuracy on your data Source
	Learns from feedback with human approval	Yes. Feedback proposes improvements for human approval	No. No workspace-agent feedback learning loop documented Source
06 / 10Who owns and maintains the business logic?	Context and apps use Git and pull requests	Yes. Every publish is versioned through Git and PRs	Partly. Git-backed plugins provide versioned reusable context Source
06 / 10Who owns and maintains the business logic?	Context stays current when schemas change	Yes. Schema changes trigger assisted context review	No. No automatic schema-change context maintenance documented Source
07 / 10Which outputs can it produce?	Scheduled reports	Yes. Scheduled PowerPoint and PDF reviews with analysis	Partly. Scheduled Tasks exist, not templated reviews Source
	Conditional alerts and monitoring	Yes. Alerts fire only when threshold is met	Partly. Scheduled agents run workflows and send notifications Source
	White labeling and embedded analytics	Partly. Dashboard embedding; limited white-label controls	No. No embedded analytics or white-label BI product Source
	Notebook or IDE for analysts	No. No analyst notebook or code IDE	Partly. Canvas runs Python only, no SQL Source
08 / 10Which governance and security controls are included?	Single sign-on	Yes. SSO via OIDC: Okta, Entra, Google, any	Partly. SSO/SCIM only on Enterprise/Edu, sold via sales Source
	Every query uses the asker's permissions	Yes. Row-level security on each query	Partly. Snowflake OAuth preserves each user's warehouse role Source
	Security audit log	Yes. Security audit log with a SIEM API	Partly. Adoption analytics only; raw logs need Compliance API Source
	Self-hosting available	Partly. Self-hosting only at Enterprise tier	No. Cloud-only; no self-hosted deployment sold 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 general-purpose AI assistant extended through plugins
10 / 10How do pricing and cost controls work?	Hard usage limits, spend visibility, and ROI	Yes. Set usage limits; track spend and ROI	Partly. Seat or contract limits; ROI tracked separately Source
Across all 43 capabilities		Dot36 supported2 partial5 not available	ChatGPT18 supported12 partial13 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 ChatGPT when general-purpose AI matters more than analytics governance

May already be covered by Business or Enterprise seats.
SOC 2 Type 2 plus ISO/IEC 27001, 27701, and 42001 certified.
Deep Research supports multi-step investigation with citations.

Watch out

Spreadsheet results require verification. Reports cite incorrect counts, invented comments, and misread spreadsheet fields, so consequential results still need source checks. ^[1][2][3]
Interpreter sessions interrupt file work. Expired analysis sessions can block code execution or downloads and force users to upload files again or regenerate work. ^[1][2][3]

Pricing

Free $0; Plus $20/user/month; Pro $200/user/month.
Business (was Team) $25/user/month, or $20 annual, 2-seat minimum.
Enterprise: custom pricing through sales; token-based rate card available.

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.