Is Wren AI actually free?

Yes. The core engine is free to self-host. Wren AI Cloud also has a free tier, plus Essential at $179 and Enterprise at $559 monthly, billed annually.

Does Wren AI work in Slack?

Yes, with limits. The Slack app uses Interactive Mode without agentic reasoning, and the Essential plan supports up to three mapped channels.

Can Wren AI query multiple databases?

Yes. Its Trino-based engine can query across over 20 connected sources, including BigQuery, Snowflake, Postgres, and Redshift.

All comparisons

Dot vs Wren AI

Dot provides a managed analyst with chat apps and scheduled reports. Wren AI gives technical teams an open-source path.

What are the differences between Dot and Wren AI?

Showing 20 of 43 capabilities across 9 categories

02 / 10

Where can users receive answers?

Native Slack app

Dot: Yes. Full chat and Deep Analysis inside Slack.
Wren AI: Partly. Native app, but Interactive Mode only; channel caps. Source

Native Microsoft Teams app

Dot: Yes. Same native app parity in Microsoft Teams.
Wren AI: Partly. Marketplace app, launched Aug 10 2026, commercial only. Source

Answers and reports by email

Dot: Yes. Answers and reports delivered by email too.
Wren AI: No. No email delivery surface found in integrations docs. Source

Reachable over MCP from other assistants

Dot: Yes. No tier gate on MCP access.
Wren AI: Partly. 8-tool MCP server, gated to Enterprise Cloud ($559/mo+). Source

03 / 10

Which data sources can it access?

Automatically routes questions to the right data

Dot: Yes. Routes each question across connected sources automatically
Wren AI: No. Projects pin one source; orchestration stays external Source

04 / 10

Which business context grounds its answers?

Grounded in LookML

Dot: Yes. Grounds on Looker/LookML definitions directly.
Wren AI: No. Positions as a Looker alternative, not an integration. Source

Other semantic layers

Dot: Yes. Also grounds on Cube and Steep semantic layers.
Wren AI: Partly. Own MDL layer; cubes are internal, not Cube.js/Steep. Source

05 / 10

How do you know the data is correct?

Regression tests for important questions

Dot: Yes. Per-org eval suites plus feedback-driven improvement.
Wren AI: Partly. Static ground-truth benchmarking, Enterprise Cloud+ only. 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
Wren AI: Partly. MDL is scaffolded plus hand-enriched; no BI-tool auto-pull. Source

Context stays current when schemas change

Dot: Yes. Schema changes trigger assisted context review
Wren AI: Partly. Rebuild and reindex after schema changes Source

07 / 10

Which outputs can it produce?

Multi-step investigations, not just lookups

Dot: Yes. Runs parallel analysis and shows the plan.
Wren AI: Partly. Agentic Ask; no shown plan or parallel agents. Source

Scheduled reports

Dot: Yes. Scheduled PowerPoint and PDF business reviews.
Wren AI: No. No recurring or scheduled delivery found in docs. Source

Exports decks and PDFs

Dot: Yes. Automated Reports export as finished PowerPoint or PDF.
Wren AI: No. No PDF/PPT export found; dashboards don't document one. Source

Conditional alerts and monitoring

Dot: Yes. Conditional alerts fire only past a set threshold.
Wren AI: No. No threshold-based alerting feature found in docs. Source

Runs Python for statistical work

Dot: Yes. SQL and Python both in every answer.
Wren AI: No. SQL-only tool set; no Python/pandas step documented. Source

08 / 10

Which governance and security controls are included?

Security audit log

Dot: Yes. Security audit log with a SIEM API.
Wren AI: Partly. Auditing logs plus thread tracing, Enterprise Cloud+ only. Source

Self-hosting available

Dot: Partly. Self-hosting offered only at the Enterprise tier.
Wren AI: Yes. Free OSS self-host; full governance needs Enterprise Plus. Source

Open source

Dot: No. Proprietary; source not public.
Wren AI: Partly. Open-core: engine/CLI open; GenBI UI & dashboards paid-only. 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
Wren AI: Partly. An open-source text-to-SQL stack expanding into apps

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
Wren AI: Partly. Infrastructure spend is self-managed; ROI tracked separately Source

Across all 43 capabilities

Dot36 supported2 partial5 not available

Wren AI19 supported13 partial11 not available

Category	Decision point	Dot	Wren AI
02 / 10Where can users receive answers?	Native Slack app	Yes. Full chat and Deep Analysis inside Slack.	Partly. Native app, but Interactive Mode only; channel caps. Source
	Native Microsoft Teams app	Yes. Same native app parity in Microsoft Teams.	Partly. Marketplace app, launched Aug 10 2026, commercial only. Source
	Answers and reports by email	Yes. Answers and reports delivered by email too.	No. No email delivery surface found in integrations docs. Source
	Reachable over MCP from other assistants	Yes. No tier gate on MCP access.	Partly. 8-tool MCP server, gated to Enterprise Cloud ($559/mo+). Source
03 / 10Which data sources can it access?	Automatically routes questions to the right data	Yes. Routes each question across connected sources automatically	No. Projects pin one source; orchestration stays external Source
04 / 10Which business context grounds its answers?	Grounded in LookML	Yes. Grounds on Looker/LookML definitions directly.	No. Positions as a Looker alternative, not an integration. Source
04 / 10Which business context grounds its answers?	Other semantic layers	Yes. Also grounds on Cube and Steep semantic layers.	Partly. Own MDL layer; cubes are internal, not Cube.js/Steep. Source
05 / 10How do you know the data is correct?	Regression tests for important questions	Yes. Per-org eval suites plus feedback-driven improvement.	Partly. Static ground-truth benchmarking, Enterprise Cloud+ only. 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. MDL is scaffolded plus hand-enriched; no BI-tool auto-pull. Source
06 / 10Who owns and maintains the business logic?	Context stays current when schemas change	Yes. Schema changes trigger assisted context review	Partly. Rebuild and reindex after schema changes Source
07 / 10Which outputs can it produce?	Multi-step investigations, not just lookups	Yes. Runs parallel analysis and shows the plan.	Partly. Agentic Ask; no shown plan or parallel agents. Source
	Scheduled reports	Yes. Scheduled PowerPoint and PDF business reviews.	No. No recurring or scheduled delivery found in docs. Source
	Exports decks and PDFs	Yes. Automated Reports export as finished PowerPoint or PDF.	No. No PDF/PPT export found; dashboards don't document one. Source
	Conditional alerts and monitoring	Yes. Conditional alerts fire only past a set threshold.	No. No threshold-based alerting feature found in docs. Source
	Runs Python for statistical work	Yes. SQL and Python both in every answer.	No. SQL-only tool set; no Python/pandas step documented. Source
08 / 10Which governance and security controls are included?	Security audit log	Yes. Security audit log with a SIEM API.	Partly. Auditing logs plus thread tracing, Enterprise Cloud+ only. Source
	Self-hosting available	Partly. Self-hosting offered only at the Enterprise tier.	Yes. Free OSS self-host; full governance needs Enterprise Plus. Source
	Open source	No. Proprietary; source not public.	Partly. Open-core: engine/CLI open; GenBI UI & dashboards paid-only. 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	Partly. An open-source text-to-SQL stack expanding into apps
10 / 10How do pricing and cost controls work?	Hard usage limits, spend visibility, and ROI	Yes. Set usage limits; track spend and ROI	Partly. Infrastructure spend is self-managed; ROI tracked separately Source
Across all 43 capabilities		Dot36 supported2 partial5 not available	Wren AI19 supported13 partial11 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 Wren AI when open source and self-management matter most

The open-source core is free to self-host.
Its Trino engine queries across over 20 data sources.
Embedded chat supports white-labeling and verified user identity.

Watch out

Questions can fail after setup. Users report task creation errors after setup across Docker, launcher, and Azure OpenAI configurations. ^[1][2][3]

Pricing

Free Cloud includes 20 monthly credits and two members.
Essential costs $179 monthly; Enterprise costs $559, billed annually.
The open-source core is free; Enterprise Plus pricing is custom.

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.