13 Best AI BI Tools In 2026

The best AI BI tools in 2026 are business intelligence platforms with an AI agent built in: ThoughtSpot Spotter, Power BI Copilot, Tableau Agent and Tableau Next, Looker's Conversational Analytics, Sigma Assistant, Omni, Databricks Genie, Qlik Answers, Domo AI, Amazon Quick Sight, Zoho Analytics' Ask Zia and Metabase's Metabot. The right one is usually the platform that already holds your metric definitions, because its AI answers from them. GetDot is an AI analyst that works across those tools: it reads your warehouse plus dbt, LookML or Power BI models, answers in Slack, Teams and email, and is priced on usage with unlimited users (we make Dot).

I could not test these tools hands-on, so each entry reports vendor documentation, pricing pages and announcements, plus the third-party coverage linked under it, as of November 2026.

This list covers BI platforms with AI built in; for the whole BI market, see business intelligence tools. For tools where the agent is the whole product, see our AI data analysis tools list. For a buyer's checklist of AI analysts, see AI data analyst software. For tools that generate dashboards from a prompt, see AI dashboard software. For BI aimed at non-technical users, see self-service analytics tools.

AI BI tools compared

What each tool's AI is, what it answers from, and the cheapest way to get it (list prices as of November 2026)

How to choose an AI BI tool

1. Start from where your definitions live. The AI that reads the model you already maintain (LookML, a Power BI semantic model, a Genie Agent) will match your dashboards. No model yet? See our semantic layer guide; we recommend Malloy.
2. Decide where people will ask. Most assistants live inside the BI tool, for licensed users. For Slack and Teams, see AI data analysts for Slack and Teams.
3. Price the AI apart from the seat. This list meters AI six ways: query caps (ThoughtSpot), capacity (Power BI), question allowances (Qlik), credits (Sigma, Domo, GetDot), tokens (Looker, Metabase, Zoho) and DBUs (Databricks). Estimate questions per month first.
4. Test on your own questions. Run 20 to 50 with known answers (the AI data analyst playbook has an eval set).

The 13 best AI BI tools, one by one

1. GetDot: an AI analyst across your warehouse and BI tools

GetDot (Dot) is the one entry that is not a BI platform, and we make it, so weigh it accordingly. It connects to 45+ data sources, such as Snowflake, BigQuery, Databricks and Postgres, and reads the definitions you keep in dbt, LookML (through the Looker API, so Looker computes the measures; Looker integration), Power BI semantic models, Cube or Malloy. People ask in Slack, Microsoft Teams, email, the web app, or from Claude, Cursor and Codex over MCP.

What the AI does: answers with a chart or table and the SQL behind it, traces each number to its source tables (Answer Lineage, August 2026), runs multi-step "why" investigations, and sends scheduled reports only when a plain-English condition is met. It also rebuilds Tableau, Power BI, Metabase and Sigma dashboards as Dot apps and checks them against the source (October 2026 release).

Plan and price: credits, with unlimited users (pricing, November 2026). Free: 300 one-time credits. Pro: $180 a month billed annually ($200 monthly), 150 credits. Team: $720 a month billed annually ($800 monthly), 800 credits, with SSO and row-level security. Enterprise: custom, with audit logs. A chat answer costs 1 credit.

Limits: Dot needs your data in a database, warehouse or connected tool, and governed metrics depend on the definitions you keep there or the notes your team adds.

Best for: companies running more than one BI tool or warehouse, or wanting everyone to ask in Slack and Teams without a BI seat each.

2. ThoughtSpot: Spotter

What the AI does: Spotter answers in Search or Deep analysis mode with charts, drill-downs, forecasts and change analysis, showing each step; Spotter 3 (GA June 2026) added Python. SpotterViz builds Liveboards, and SpotterModel (GA in release 26.8) drafts the data model for review.

Plan and price: Spotter is listed from Pro, $50 per user a month billed annually, with 25 Spotter queries per user a month. Essentials is $25 per user and doesn't include Spotter, usage-based pricing starts at $0.10 per credit, and Enterprise is quoted.

Limits: 25 queries is about one per working day, and Spotter sees only data modeled in ThoughtSpot.

Best for: search-first analytics for many business users. See ThoughtSpot pricing and ThoughtSpot Spotter vs Dot.

Sources: ThoughtSpot pricing, Toucan's pricing breakdown, Spotter, 26.8 release notes, release history.

3. Microsoft Power BI: Copilot

What the AI does: Copilot summarizes reports, answers plain-English questions about a semantic model, writes DAX and drafts report pages.

Plan and price: Copilot needs a paid Fabric capacity (F2 or larger) or Power BI Premium (P1 or larger); Pro ($14) and Premium Per User ($24) seats alone don't switch it on. An F2 costs about $262.80 a month pay-as-you-go, and below F64 viewers still need Pro.

Limits: Copilot shares capacity with refreshes and report queries, and it answers only as well as the semantic model is built.

Best for: Microsoft shops with well-built semantic models. See our Power BI Copilot guide and Power BI Copilot vs Dot.

Sources: Copilot for Power BI overview, CloudNuro on Power BI license costs, Colrows on Copilot pricing.

4. Tableau: Pulse, Tableau Agent and Tableau Next

What the AI does: Pulse follows metrics you define and sends each person a digest of what changed. Tableau Agent helps authors build views and calculations. Tableau Next is Salesforce's separate agentic analytics app, with its own semantic layer, agents and Slack integration.

Plan and price: Pulse comes with Tableau Cloud (Standard: Viewer $15, Explorer $42, Creator $75 per user a month, billed annually). Tableau Agent needs Cloud+ or the Tableau+ Bundle, both quoted. Tableau Next starts at $40 per user a month billed annually, and Data Services or Flex credits may apply.

Limits: Pulse covers only defined metrics, and Next sits apart from the site that holds your workbooks.

Best for: Tableau Cloud customers who want KPIs pushed to people. See Tableau AI and Tableau Next vs Dot.

Sources: Tableau Cloud pricing, Tableau Pulse, Tableau Next pricing, Salesforce: Tableau Next pricing.

5. Looker: Conversational Analytics

What the AI does: Conversational Analytics, part of Gemini in Looker and GA since November 2025, answers plain-language questions from LookML Explores, so its numbers match your dashboards. Data agents carry instructions and can span up to five Explores.

Plan and price: Looker licenses are quoted (Looker pricing). The AI is metered in data tokens: each user adds 1M input and 20K output tokens a month to an instance pool (at least 60M input and 1.2M output on a production instance), then $3 per million input and $20 per million output tokens. Through January 31, 2027, Conversational Analytics runs without allocation limits or usage billing, within fair use; the meter starts February 1, 2027.

Limits: it answers only from what is modeled in LookML, and returns at most 5,000 rows per query.

Best for: companies whose metrics already live in LookML. See Looker AI and Gemini in Looker vs Dot.

Sources: Google: Conversational Analytics GA, Looker data agents, Looker pricing.

6. Sigma: Sigma Assistant and agents

What the AI does: Sigma Assistant (formerly Ask Sigma) answers questions in a workbook, and its build mode builds workbooks that reuse an attached data model's metrics (GA October 2, 2026). Sigma agents, also GA, run in chat, on a schedule, by API or through Sigma's MCP server.

Plan and price: not published. Agents are a premium feature, and from November 1, 2026 each agent message uses 0.1 Sigma credit, priced by your account executive.

Limits: the AI sees only what is connected to Sigma, and its cost is hard to estimate before a quote.

Best for: spreadsheet-minded analysts on Snowflake, Databricks or BigQuery. See Sigma AI and Sigma vs Dot.

Sources: Sigma release notes, October 2, 2026, billable usage events, Sigma Assistant build mode.

7. Omni: an agent on a shared semantic model

What the AI does: Omni's agent (Blobby in its demos) answers from Omni's semantic model and builds and edits dashboards, screenshotting its edits to check them (October 2026). A modeling agent helps write the model, a Slack agent answers in threads, and since June 2026 MCP clients such as Claude Desktop can run its analysis.

Plan and price: not published. Omni's changelog describes AI usage metered against caps that admins set, with optional overage billing.

Limits: someone has to build and maintain Omni's model first.

Best for: data teams leaving Looker. See Omni vs Dot and Omni alternatives.

Sources: Omni AI, Omni changelog, modeling agent, June 19, 2026 demo, October 30, 2026 demo.

8. Databricks AI/BI: Genie and AI/BI dashboards

What the AI does: Genie gives business users one place to ask questions, open AI/BI dashboards and run Databricks Apps. Authors curate Genie Agents (formerly Genie spaces) with sample SQL and instructions, and Genie proposes knowledge snippets that a user approves. Genie Code imports up to 100 Power BI or Tableau files at a time as AI/BI dashboards.

Plan and price: no per-seat BI license. As of November 2026, people's use of Genie One and Genie Agents is free through January 31, 2027 (service principals pay in DBUs), Genie Code includes 150 free DBUs per user a month, and the SQL compute behind answers is billed separately.

Limits: data has to sit in Databricks under Unity Catalog, and each Genie Agent needs curating.

Best for: companies whose lakehouse is Databricks. See our Databricks Genie guide and Databricks Genie vs Dot.

Sources: Genie One, Genie spaces, AI/BI release notes 2026, Genie pricing, Genie cost monitoring, Databricks One launch.

9. Qlik: Qlik Answers

What the AI does: Qlik Answers is an agentic chat over Qlik analytics data and indexed documents.

Plan and price: Qlik Cloud Analytics Starter is $300 a month for 10 users and 10 GB, Standard $825 and Premium $2,750 a month, billed annually. Answers is a monthly question allowance: 25 on Starter, 200 on Standard, 1,000 on Premium and Enterprise.

Limits: 50 people asking two questions a working day need about 2,100 questions a month.

Best for: Qlik customers with modest question volumes, or questions that need documents next to data. See Qlik Sense pricing.

Sources: Qlik Cloud Analytics pricing, subscription options, Qlik Answers help.

10. Domo: AI Chat and Agent Catalyst

What the AI does: AI Chat answers plain-language questions on Domo data. Agent Catalyst builds agents over governed Domo datasets and documents, on DomoGPT, OpenAI, Anthropic, Google or your own models.

Plan and price: credits, with no published dollar price. Through October 31, 2026 each AI Chat request cost 0.2 credits; from November 1 it bills like other AI Pro work, at 0.01 credit per operation plus token credits on Domo-hosted models (a model you provide adds no token credits).

Limits: AI spend is hard to forecast, and Progress Software completed its $400 million purchase of Domo's platform business on September 22, 2026, so check renewal terms.

Best for: teams that want ingestion, ETL, dashboards and agents in one platform. See Domo pricing.

Sources: Domo AI, Domo on AI Chat and Agent Catalyst, Domo consumption terms, Progress announcement, Constellation Research.

11. Amazon Quick Sight: generative BI on AWS

What the AI does: Quick Sight, formerly QuickSight, is the BI part of Amazon Quick (launched as Quick Suite in October 2025). Generate Analysis, GA since May 4, 2026, builds a full dashboard from a prompt; earlier features answer questions, write executive summaries and draft data stories.

Plan and price: Professional is $20 and Enterprise $40 per user a month, plus a $250 monthly infrastructure fee per account. Authoring dashboards needs Enterprise, and Generate Analysis launched for Author Pro roles.

Limits: per-user pricing grows with the audience, and documentation appears under three product names.

Best for: AWS-centered companies. See Amazon Quick vs Dot.

Sources: Amazon Quick pricing, Generate Analysis announcement, Atlan on Quick Suite.

12. Zoho Analytics: Ask Zia

What the AI does: on October 28, 2026 Zoho rebuilt Ask Zia as one agent directing six specialists (analysis, visualization, data preparation, modeling, coding and actions), with semantic and ontology layers in preview and AI cost monitoring for admins.

Plan and price: unchanged by the update. Basic is $24 a month billed annually for 2 users and 500,000 rows, with 10,000 Zoho LLM credits; Zoho hasn't said how many credits an agent task uses. Basic and up get the analysis, SQL, formula and visualization agents; the data preparation and coding agents and Zia Insights need Premium or Enterprise.

Limits: every plan caps both users and rows.

Best for: small businesses and Zoho users on a budget. See Zoho Analytics pricing.

Sources: Small Business Trends on the Ask Zia update, Zoho: the new Zoho Analytics, Ask Zia help, Manage AI (agents by plan), Zoho Analytics pricing.

13. Metabase: Metabot

What the AI does: Metabot builds charts from plain-language requests (reusing a saved question when one fits), writes and fixes SQL, and explains charts.

Plan and price: Metabot is in every plan, open source included, with your own model key. Metabase Cloud's managed AI gives 1 million free tokens a month, then $3.75 per million; Cloud starts at $100 a month for 5 users.

Limits: Metabot can't write SQL with parameters such as field filters, and when a prompt names no table it checks only the first 100 tables and may invent names.

Best for: startups and self-hosting teams. See Metabase alternatives.

Sources: Metabot docs, Metabase pricing, how Metabase billing works.

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