# Dot: AI Data Analyst

> Dot is the AI data analyst that answers any data question in seconds. It connects to your data warehouse and semantic layer, writes governed SQL, and returns charts, written explanations, and the query, in Slack, Microsoft Teams, email, and the web.

Dot is built by Snowboard Software GmbH (YC S21). Every answer is grounded in a data model the data team controls, with automated validation and full auditability. Developers can also reach Dot through its API, CLI, and MCP server.

## Product
- [Chat](https://www.getdot.ai/chat): Ask data questions in natural language and get charts, answers, and the SQL.
- [Root Cause Analysis](https://www.getdot.ai/deep-analysis): Multi-step investigations that find why a number moved, with the evidence behind each driver.
- [Automated Reports](https://www.getdot.ai/automated-reports): Scheduled PDF reports, PowerPoint decks on your template, and alerts, delivered to Slack, Teams and email.
- [Context Agent](https://www.getdot.ai/context-agent): Teaches Dot your metrics, KPIs, and business logic for governed answers.
- [Pricing](https://www.getdot.ai/pricing): Free (300 credits), Pro ($180/mo annual), Team ($720/mo annual), and custom Enterprise.
- [Integrations](https://www.getdot.ai/integrations): Connect warehouses, semantic layers, and BI tools, plus business apps like Shopify, Stripe, HubSpot and Salesforce that Dot copies into a warehouse it runs; ask in Slack, Teams, email, or an AI assistant; and add context from docs, files, email, and project tools.

## Integrations
- [Snowflake](https://www.getdot.ai/integrations/snowflake): Answers from Snowflake for sales, finance and operations alike. Dot answers from Snowflake: Dot picks the right tables, writes the SQL and shows it beside every answer.
- [BigQuery](https://www.getdot.ai/integrations/bigquery): Ask about GA4 events, billing exports and app data in BigQuery. Dot answers from BigQuery: Dot writes the BigQuery SQL for each question and shows it with the answer.
- [Redshift](https://www.getdot.ai/integrations/redshift): Every team gets answers from Redshift, without waiting on an analyst. Dot answers from Redshift: Dot turns each question into Redshift SQL and shows its work.
- [Postgres](https://www.getdot.ai/integrations/postgres): Answers from your app's Postgres database, or its read replica. Dot answers from Postgres: Every answer comes with the SQL Dot ran against your database.
- [AWS Athena](https://www.getdot.ai/integrations/aws-athena): Ask about the logs and events in your S3 data lake. Dot answers from Athena: Dot writes Athena SQL for each question and shows every query.
- [Databricks SQL](https://www.getdot.ai/integrations/databricks): Lakehouse answers for the whole business, from forecasts to fraud. Dot answers from Databricks: From sales tables to model scores, Dot writes the SQL and shows it.
- [Microsoft SQL](https://www.getdot.ai/integrations/microsoft-sql-server): Ask SQL Server or Azure SQL about orders, suppliers and cash. Dot answers from SQL Server: Questions become T-SQL, and you can open the query behind any answer.
- [MySQL](https://www.getdot.ai/integrations/mysql): Store, cart and marketplace questions, answered from MySQL or MariaDB. Dot answers from MySQL: Dot writes MySQL queries for your questions and shows every one.
- [MotherDuck](https://www.getdot.ai/integrations/duckdb): Revenue, experiments and deals in MotherDuck, answered for the whole team. Dot answers from MotherDuck: Dot writes DuckDB SQL, runs it read-only and shows the query.
- [Microsoft Fabric](https://www.getdot.ai/integrations/microsoft-fabric): Your Fabric warehouses and lakehouses, open to every question your team has. Dot answers from Fabric: Every answer shows the SQL Dot ran against your Fabric endpoint.
- [ClickHouse](https://www.getdot.ai/integrations/clickhouse): Live product, API and game events in ClickHouse, open to everyone. Dot answers from ClickHouse: Dot writes ClickHouse SQL over your freshest events and shows it.
- [Oracle Database](https://www.getdot.ai/integrations/oracle): Finance and operations answers from Oracle, with nothing to install. Dot answers from Oracle: Plain questions in, Oracle SQL out. Every query stays visible.
- [SAP HANA](https://www.getdot.ai/integrations/sap-hana): Orders, credit and ledger questions, answered straight from SAP HANA. Dot answers from SAP HANA: Dot writes HANA SQL against the tables you choose.
- [Firebolt](https://www.getdot.ai/integrations/firebolt): Firebolt's speed for everyone, not only the people who write SQL. Dot answers from Firebolt: Dot writes the Firebolt SQL; your engine does the rest.
- [Supabase](https://www.getdot.ai/integrations/supabase): Ask about your Supabase app's users and activity in plain words. Dot answers from Supabase: Dot queries your app's own tables directly and shows the SQL.
- [Neon](https://www.getdot.ai/integrations/neon): Ask about your Neon database in plain words. Dot answers from Neon: Dot queries your tables on Neon directly and shows the SQL it ran.
- [Google Sheets](https://www.getdot.ai/integrations/google-sheets): Answers that use the plans and lists you keep in Sheets. Dot reads your live sheets: Every tab laid out as a table becomes one, and each question reads it live.
- [CSV / Excel](https://www.getdot.ai/integrations/csv-excel): Drop in a spreadsheet and ask. Dot checks it against your data. Dot analyzes your files: Attach a file to a question, or upload it as a table everyone can query.
- [Looker](https://www.getdot.ai/integrations/looker): Answers that run through your LookML, so numbers match Looker. Dot answers through Looker: Dot also reads your dashboards and saved Looks.
- [Power BI](https://www.getdot.ai/integrations/power-bi): Get the same numbers as Power BI, then move your reports to Dot. Dot answers with your measures: Your semantic models and reports. Rebuild reports in Dot: Checked visual by visual against Power BI.
- [dbt](https://www.getdot.ai/integrations/dbt): Answers that pick the right model and match your metric definitions. Dot learns your dbt project: Model docs, SQL and lineage. Dot answers with dbt metrics: Queried through the dbt Cloud Semantic Layer.
- [Cube](https://www.getdot.ai/integrations/cube): Answers that match every other tool built on your Cube. Dot answers through Cube: Every answer is a Cube query, so your measures and joins define the numbers.
- [Steep](https://www.getdot.ai/integrations/steep): Ask about any Steep metric. Answers use its exact definition. Dot answers with Steep metrics: Dot asks Steep for each number, broken down by your dimensions and slices.
- [Malloy](https://www.getdot.ai/integrations/malloy): Your Malloy model behind every answer. Dot answers through Malloy: Dot reads sources, joins and measures from your repo and answers with them.
- [Azure Analysis Services](https://www.getdot.ai/integrations/azure-analysis-services): Your tabular models answer the question. Dot answers from tabular models: Dot queries your Analysis Services models and reuses their DAX measures.
- [Tableau](https://www.getdot.ai/integrations/tableau): Ask what any Tableau number means, then bring your dashboards over to Dot. Dot explains your dashboards: Workbooks, calculations, lineage and what each tile shows. Rebuild dashboards in Dot: Checked tile by tile against Tableau.
- [Metabase](https://www.getdot.ai/integrations/metabase): Know what every Metabase card means, then rebuild the dashboards you rely on. Dot explains your saved questions: Their SQL, and live results under any filter. Move dashboards into Dot: On live SQL, each card checked against Metabase.
- [Sigma](https://www.getdot.ai/integrations/sigma): Trace any Sigma number to its source, then carry your workbooks over to Dot. Dot explains your workbooks: Formulas, warehouse SQL, lineage and live values. Rebuild workbooks in Dot: One tab per page, every element checked against Sigma.
- [Shopify](https://www.getdot.ai/integrations/shopify): See which products bring buyers back, and what your ad spend really returns. Dot answers from Shopify: Dot copies your orders, customers and products, then answers in plain English with the SQL beside it.
- [Stripe](https://www.getdot.ai/integrations/stripe): Track MRR, churn and failed payments without exporting a thing. Dot answers from Stripe: Dot copies customers, subscriptions, invoices, charges, products and prices, and answers in plain English.
- [Airtable](https://www.getdot.ai/integrations/airtable): Ask about the base your team runs operations from. Dot answers from Airtable: Dot copies every table of one base, one row per record, and joins it with the rest of your data.
- [Vitally](https://www.getdot.ai/integrations/vitally): Spot churn risk early, with health, NPS and revenue side by side. Dot answers from Vitally: Dot copies active accounts, users, conversations, notes, NPS, tasks and projects, and answers in plain English.
- [Google Ads](https://www.getdot.ai/integrations/google-ads): Find the campaigns and keywords that pay back, and the ones that don't. Dot answers from Google Ads: Dot copies daily spend, clicks and conversions by campaign, ad and keyword, and answers in plain English.
- [Meta Ads](https://www.getdot.ai/integrations/meta-ads): See which campaigns and ads earn their spend. Dot answers from Meta Ads: Dot copies campaigns, ad sets and ads with daily spend, clicks and conversions, and answers in plain English.
- [Google Analytics](https://www.getdot.ai/integrations/google-analytics): See where your visitors come from, and what they turn into. Dot answers from Google Analytics: Dot copies daily sessions, users and page views by channel, page and device, and answers in plain English.
- [HubSpot](https://www.getdot.ai/integrations/hubspot): Pipeline, win rates and tickets, answered from your CRM. Dot answers from HubSpot: Dot copies contacts, companies, deals with stages and amounts, tickets and owners, and answers in plain English.
- [Salesforce](https://www.getdot.ai/integrations/salesforce): Sales cycles, campaign returns and renewals, from your opportunities. Dot answers from Salesforce: Dot copies accounts, contacts, leads, opportunities with line items, and campaigns, and answers in plain English.
- [Pipedrive](https://www.getdot.ai/integrations/pipedrive): Catch stalled deals and see how long each sale really takes. Dot answers from Pipedrive: Dot copies deals, leads, people, organizations, activities, products and notes, and answers in plain English.
- [Klaviyo](https://www.getdot.ai/integrations/klaviyo): See which flows and campaigns get clicks, and how fast your list grows. Dot answers from Klaviyo: Dot copies profiles with consent, events, campaigns, flows and lists, and answers in plain English.
- [GitHub](https://www.getdot.ai/integrations/github): Dot's notes in your repo, and your code in its answers. Keep Dot's knowledge in GitHub: Notes, table docs and dashboards sync both ways, so changes can go through pull requests. Dot reads your code: Any repo: tracking, billing or app code, when a question needs it.
- [GitLab](https://www.getdot.ai/integrations/gitlab): Dot's notes in your repo, and your code in its answers. Keep Dot's knowledge in GitLab: Edit notes in Dot or your editor; GitLab keeps every version. Dot checks numbers against code: Any repo: dbt, Malloy or app code.
- [Bitbucket](https://www.getdot.ai/integrations/bitbucket): Dot reads the code behind your numbers, straight from Bitbucket. Dot reads your Bitbucket code: Dot opens a file only when a question needs it.
- [Slack](https://www.getdot.ai/integrations/slack): Get answers in Slack, and find the conversations behind your numbers. Ask Dot in Slack: Dot reads only the threads it's asked in. Dot searches your Slack: Public channels, and the DMs and private channels you're in. Changes need an admin's go-ahead and your OK.
- [Microsoft Teams](https://www.getdot.ai/integrations/microsoft-teams): Get answers in Teams, and put numbers on what your chats discuss. Ask Dot in Teams: In chats and channels. Admins choose what data each channel sees. Dot reads your Teams chats: Not channel messages. Changes need an admin's go-ahead and your OK.
- [MCP](https://www.getdot.ai/integrations/mcp): Ask about your data from the AI assistant you already use. Ask Dot in AI assistants: Add Dot to Claude, ChatGPT, Cursor or Copilot. It answers with your own Dot permissions.
- [Gmail](https://www.getdot.ai/integrations/gmail): Put what customers email you next to what the data shows. Dot searches your inbox: Dot reads your emails, threads and drafts. Changes need an admin's go-ahead and your OK.
- [Outlook](https://www.getdot.ai/integrations/outlook): Check emailed figures against your data before you reply. Dot reads your Outlook: Dot reads your emails, attachments and calendar. Changes need an admin's go-ahead and your OK.
- [Google Calendar](https://www.getdot.ai/integrations/google-calendar): Walk into every customer meeting with the account's latest numbers. Dot reads your calendar: Dot reads your calendars and events. Changes need an admin's go-ahead and your OK.
- [Email](https://www.getdot.ai/integrations/email): Ask from your inbox. Charts and data come back in the thread. Ask Dot by email: Write to Dot, forward an email or reply to a report. An admin turns it on.
- [Notion](https://www.getdot.ai/integrations/notion): Check plans and notes against the data, and keep the results in Notion. Dot reads and updates team pages: Shared pages and databases. Dot works in your private pages: Only the pages you pick while connecting. Changes need an admin's go-ahead and your OK.
- [Confluence](https://www.getdot.ai/integrations/confluence): Hold every number to what your docs say, even the restricted ones. Dot applies your team's docs: Shared spaces, where it can also publish reports. Dot reads pages only you can open: Your personal space too. Read-only.
- [Slite](https://www.getdot.ai/integrations/slite): Dot answers with what your wiki says and what your data shows. Dot answers from your Slite: Dot asks your Slite, cites the notes behind each answer, and never edits them.
- [Google Drive](https://www.getdot.ai/integrations/google-drive): Answers from your team's files, and your own drafts checked before they go out. Dot answers from team folders: Every answer names its file. Read-only. Dot checks your drafts and builds files: Any file you can open. Dot edits only the files it made. Changes need an admin's go-ahead and your OK.
- [OneDrive](https://www.getdot.ai/integrations/onedrive): Dot audits your OneDrive spreadsheets against your data. Dot audits and shares files: Dot reads every file and folder you can open. Changes need an admin's go-ahead and your OK.
- [SharePoint](https://www.getdot.ai/integrations/sharepoint): Dot ties your SharePoint lists, contracts and trackers to live numbers. Dot checks and updates sites: Dot reads every site, list and file you can open. Changes need an admin's go-ahead and your OK.
- [Dropbox](https://www.getdot.ai/integrations/dropbox): Dot joins the reports and lists in your Dropbox with your data. Dot reads and saves files: Dot reads all your files and folders. Changes need an admin's go-ahead and your OK.
- [Box](https://www.getdot.ai/integrations/box): Dot checks the invoices and plans in your Box against your data. Dot reviews your Box files: Dot reads your files, folders and comments. Changes need an admin's go-ahead and your OK.
- [Jira](https://www.getdot.ai/integrations/jira): Know which customers and how much revenue sit behind every issue. Dot ties issues to customers: Dot searches your team's issues and files new ones, marked [Dot]. Dot puts numbers on your issues: Every issue and comment you can see. Changes need an admin's go-ahead and your OK.
- [Linear](https://www.getdot.ai/integrations/linear): Dot shows what your Linear work means for customers and revenue. Dot measures what you ship: Dot reads your issues, projects and cycles. Changes need an admin's go-ahead and your OK.

## Comparisons

Head-to-head comparisons against other AI analytics tools, checked against vendor documentation and stamped with the month each was last verified. Each page also states where the other tool is the better choice.

- [Dot vs Snowflake Cortex Analyst & Snowflake CoWork](https://www.getdot.ai/compare/snowflake-vs-dot): Warehouse-Native AI. Cortex Analyst stays inside Snowflake; Dot spans warehouses, dbt, and Looker. Compare usage costs, governance, reporting, Slack, and Teams access.
- [Dot vs Databricks AI/BI Genie](https://www.getdot.ai/compare/databricks-vs-dot): Lakehouse-Native AI Analyst. Databricks Genie lives in Unity Catalog; Dot spans warehouses and BI tools. Compare semantic context, analysis depth, pricing, mobile access, and security.
- [Dot vs Power BI Copilot](https://www.getdot.ai/compare/powerbi-vs-dot): Native BI Copilot. Power BI Copilot stays inside Fabric. Dot connects to your Power BI semantic model over XMLA, writes DAX, and reads your existing reports. Compare capacity.
- [Dot vs ThoughtSpot Spotter](https://www.getdot.ai/compare/thoughtspot-vs-dot): Agentic Analytics Platform. ThoughtSpot is a full BI platform; Dot works across the warehouse and current BI tools. Compare query limits, governance, analysis depth, and delivery.
- [Dot vs Zenlytic](https://www.getdot.ai/compare/zenlytic-vs-dot): Governed AI-Native BI. Zenlytic centers a Git-based semantic layer; Dot connects 31 sources and existing models. Compare pricing, governance, deployment, and analysis depth.
- [Dot vs WisdomAI](https://www.getdot.ai/compare/wisdomai-vs-dot): Agentic Insights Platform. WisdomAI offers embedded analytics through sales-led plans; Dot publishes pricing and adds Teams, dbt, and Looker support. Compare the full tradeoff.
- [Dot vs TextQL](https://www.getdot.ai/compare/textql-vs-dot): Enterprise Ontology Analyst. TextQL begins with its own Git-backed Ontology; Dot reads existing dbt and Looker models. Compare compute costs, delivery, governance, and reporting.
- [Dot vs Wren AI](https://www.getdot.ai/compare/wrenai-vs-dot): Open-Source GenBI Engine. Wren AI offers an open-source semantic engine; Dot is a managed analyst. Compare deployment, chat apps, scheduled reporting, governance, and pricing.
- [Dot vs Bruin](https://www.getdot.ai/compare/bruin-vs-dot): Data Pipeline + AI Analyst. Bruin combines pipelines and analysis in one platform; Dot works with the stack you already run. Compare connectors, governance, pricing, and access.
- [Dot vs ChatGPT](https://www.getdot.ai/compare/chatgpt-vs-dot): General-Purpose AI Assistant. ChatGPT is a broad AI assistant; Dot works from live, governed warehouse data. Compare SQL visibility, business context, security, and delivery.
- [Dot vs Claude](https://www.getdot.ai/compare/claude-vs-dot): General-Purpose AI Assistant. Claude supports broad AI work and custom MCP builds; Dot ships a governed data analyst. Compare connectors, access controls, pricing, and workflows.
- [Dot vs Julius AI](https://www.getdot.ai/compare/julius-vs-dot): Prosumer AI Workspace. Julius AI suits personal file analysis; Dot serves governed team data. Compare warehouse access, semantic context, SSO, delivery channels, and pricing.
- [Dot vs Gemini in Looker](https://www.getdot.ai/compare/looker-vs-dot): Looker-Native BI Copilot. Gemini in Looker is built for LookML. Dot runs queries through the same Explores and also reaches warehouses directly. Compare delivery, governance, and pricing.
- [Dot vs Hex](https://www.getdot.ai/compare/hex-vs-dot): Agentic Notebook Workspace. Hex gives analysts a notebook; Dot gives business users governed self-service. Compare semantic context, security, delivery, compute costs, and reporting.
- [Dot vs Omni](https://www.getdot.ai/compare/omni-vs-dot): Full-Stack BI Platform. Omni can replace a BI platform; Dot works with the stack already in place. Compare Looker migration, embedded analytics, governance, deployment, and pricing.
- [Dot vs Sigma Computing](https://www.getdot.ai/compare/sigma-vs-dot): Cloud BI + AI Toolkit. Sigma combines spreadsheet-style BI and write-back; Dot reads your Sigma workbooks and the SQL behind each tile. Compare delivery and governance.
- [Dot vs Lightdash](https://www.getdot.ai/compare/lightdash-vs-dot): dbt-Native Agentic BI. Lightdash pairs dbt with open-source BI; Dot adds analysis across sources and chat tools. Compare deployment, security, business access, and pricing.
- [Dot vs Tableau Next & Pulse](https://www.getdot.ai/compare/tableau-vs-dot): Agentic Analytics (Salesforce). Tableau Next is tied to Salesforce Data 360; Dot reads your existing Tableau workbooks and their tile values. Compare pricing, rollout, and governance.
- [Dot vs Amazon Quick](https://www.getdot.ai/compare/amazon-quick-vs-dot): Agentic AWS Workspace. Amazon Quick stays inside AWS; Dot connects a wider data stack. See the differences in pricing, governance, reporting, and user access.

## Customer impact studies
- [Choco](https://www.getdot.ai/impact/choco): Choco digitizes ordering between restaurants and suppliers, helping the food supply chain move faster and with less waste.
- [Duolingo](https://www.getdot.ai/impact/duolingo): Duolingo is the world’s most-used language-learning platform, known for rapid experimentation and data-informed product decisions.
- [Emerge](https://www.getdot.ai/impact/emerge): Emerge is a transportation spend and freight-procurement platform that helps shippers optimize contract and spot buying while accessing a large network of vetted carriers.
- [KRY](https://www.getdot.ai/impact/kry): KRY is one of Europe's leading digital healthcare platforms, offering digital and physical healthcare services across Sweden, France, the UK, and Norway.

## Blog
- [10 Best AI Data Analysis Tools & Software In 2026](https://www.getdot.ai/blog/ai-data-analysis-tools): I'll review the 10 best AI data analysis tools of 2026: what each one analyzes, what it costs, who it suits, and where it falls short.
- [Top 5 Generative AI Use Cases In Data Analytics In 2026](https://www.getdot.ai/blog/ai-use-cases-data-analytics): I’ll go over 5 generative AI use cases in data analytics, from answering quick questions to drafting the documentation an AI analyst works from.
- [10 Best Data Analysis Tools & Software In 2026](https://www.getdot.ai/blog/data-analysis-tools): I review the 10 best data analysis tools of 2026: what each one analyzes, what it charges, who it fits, and where it stops.
- [How To Use AI To Analyze Data: Step-By-Step Guide For 2026](https://www.getdot.ai/blog/how-to-use-ai-to-analyze-data): A working guide to analyzing company data with AI in 2026, covering the four available approaches and a seven-step workflow.
- [10 Best No-Code Data Analysis Tools In 2026](https://www.getdot.ai/blog/no-code-data-analysis-tools): A buyer's guide to the 10 best no-code data analysis tools in 2026, with verified pricing and a straight read on where each one fits.
- [Cafe Bench: GPT-6.1 Sol is incredible value, but not as good as Opus](https://www.getdot.ai/blog/cafe-bench-gpt-6-1-sol-sonnet-5-5): We put GPT-6.1 Sol and Claude Sonnet 5.5 in charge of the same four-café chain, at three reasoning efforts each.
- [Cafe Bench: how well can Dot run a business for a year?](https://www.getdot.ai/blog/cafe-bench): We gave eight AI models running inside Dot the books of a four-café chain and a year to run it.
- [10 Best AI Tools For Project Managers In 2026](https://www.getdot.ai/blog/ai-tools-for-project-managers): I’ll cover the 10 best AI tools for project managers to help you make the right choice.
- [10 Best AI Tools For Product Managers In 2026](https://www.getdot.ai/blog/ai-tools-for-product-managers): I’ll go over the 10 best AI tools for product managers to help you make the right decision.
- [10 Best Marketing Analytics Tools In 2026](https://www.getdot.ai/blog/marketing-analytics-tools): I'll go over the 10 best marketing analytics tools in 2026 so you can work out which layer of the stack you're actually missing.
- [Your AI Analyst Will Be Worse Next Month](https://www.getdot.ai/blog/your-ai-analyst-will-be-worse-next-month): Anthropic went from 95% accuracy to 65% in a single month. Nothing broke. The business moved and the context stood still.
- [Give the Intern a Budget](https://www.getdot.ai/blog/give-the-intern-a-budget): Cheap intelligence keeps getting cheaper while the frontier gets pricier. Which questions deserve which level is a governance choice, not a bill.
- [10 Best Cloud Analytics Platforms In 2026](https://www.getdot.ai/blog/cloud-analytics-platforms): I'll go over the 10 best cloud analytics platforms to help you pick the one that fits your warehouse and your budget.
- [10 Best Marketing Data Visualization Tools In 2026](https://www.getdot.ai/blog/marketing-data-visualization-tools): I'll go over the 10 best marketing data visualization tools so you can work out which one fits the way your team actually reports.
- [The Semantic Layer Solves the Wrong Half of Your Problem](https://www.getdot.ai/blog/the-semantic-layer-solves-the-wrong-half): Finding the right metric and computing it correctly are different jobs. A semantic layer only does the second. That is why the studies disagree.
- [The AI Data Analyst Playbook](https://www.getdot.ai/blog/ai-data-analyst-playbook): A free guide to rolling out an AI data analyst people trust. Five stages, clear owners, and the two chapters everyone skips: maintenance and cost.
- [10 Best AI Tools For Business Analysts In 2026](https://www.getdot.ai/blog/ai-tools-for-business-analysts): I’ll go over the 10 best AI tools for business analysts to help you make the right choice.
- [10 Best AI Tools For Financial Analysis In 2026](https://www.getdot.ai/blog/ai-tools-for-financial-analysis): I’ll go over the 10 best AI tools for financial analysis to help you make an informed decision.
- [How 14 Companies Built AI Data Analysts](https://www.getdot.ai/blog/how-companies-built-ai-data-analysts): Every published internal AI data analyst, from Pinterest to OpenAI. The numbers, and the five patterns that repeat.
- [Domo Pricing: Is It Worth It In 2026? [Reviewed]](https://www.getdot.ai/blog/domo-pricing): I’ll go over Domo’s pricing to help you make the right choice.
- [Julius AI Pricing: Is It Worth It In 2026? [Reviewed]](https://www.getdot.ai/blog/julius-ai-pricing): I’ll go over Julius AI’s pricing in detail to help you make an informed decision.
- [Looker Pricing: Is It Worth It In 2026? [Reviewed]](https://www.getdot.ai/blog/looker-pricing): I’ll go over Looker’s pricing to help you make an informed decision.
- [Tableau Pricing: Is It Worth It In 2026? [Reviewed]](https://www.getdot.ai/blog/tableau-pricing): I’ll go over Tableau’s pricing to help you make a better-informed decision.
- [Domo vs. Tableau vs. Dot: Which One Is Better?](https://www.getdot.ai/blog/domo-vs-tableau): Are you looking to compare Domo vs. Tableau?
- [Looker vs. Tableau vs. Dot: Which One Is Better?](https://www.getdot.ai/blog/looker-vs-tableau): Are you looking to compare Looker vs. Tableau?
- [Sisense vs. Microsoft Power BI vs. Dot: Which One Is Better?](https://www.getdot.ai/blog/sisense-vs-microsoft-power-bi): Looking to compare Sisense vs. Microsoft Power BI?
- [Sisense vs. Tableau vs. Dot: Which One Is Better?](https://www.getdot.ai/blog/sisense-vs-tableau): Are you looking to compare Sisense vs. Tableau?
- [Microsoft Power BI vs. Domo vs. Dot: Which One Is Better?](https://www.getdot.ai/blog/microsoft-power-bi-vs-domo): Are you looking to compare Microsoft Power BI vs. Domo?
- [Microsoft Power BI vs. Tableau vs. Dot: Which One Is Better?](https://www.getdot.ai/blog/microsoft-power-bi-vs-tableau): Looking to compare Microsoft Power BI vs. Tableau?
- [10 Best Hex Alternatives & Competitors In 2026](https://www.getdot.ai/blog/hex-alternatives): Are you looking for the best Hex alternatives in 2026?
- [Microsoft Power BI Pricing: Is It Worth It In 2026? [Reviewed]](https://www.getdot.ai/blog/microsoft-power-bi-pricing): I’ll go over Microsoft Power BI’s pricing to help you see if it’s worth it for you.
- [10 Best Sisense Alternatives & Competitors In 2026](https://www.getdot.ai/blog/sisense-alternatives): Are you looking for the best Sisense alternatives in 2026?
- [10 Best Skopx Alternatives & Competitors In 2026](https://www.getdot.ai/blog/skopx-alternatives): Are you looking for the best Skopx alternatives in 2026?
- [Dot-Maxxing](https://www.getdot.ai/blog/dot-maxxing): Best practices for getting more out of Dot, your AI data analyst: ask for finished dashboards, decks, reports and alerts, then teach it so the work compounds.
- [Conversational Analytics: What It Is & How To Do It In 2026](https://www.getdot.ai/blog/conversational-analytics): Learn what conversational analytics is and how to set it up in five steps with Dot, the AI data analyst.
- [How To Set Up Self-Service Analytics In 2026?](https://www.getdot.ai/blog/how-to-set-up-self-service-analytics): Are you trying to set up self-service analytics for your team in 2026?
- [AI Didn't Make the Semantic Layer Necessary. It Made It Cheap.](https://www.getdot.ai/blog/ai-made-the-semantic-layer-cheap): The industry spent three years debating whether AI analytics needs a semantic layer. Wrong question. The right question is what it costs, and the answer just changed.
- [Your Next Data Contributors Won't Write SQL](https://www.getdot.ai/blog/data-contributors-wont-write-sql): Business users are already shaping your metric definitions, one AI conversation at a time. The stack that captures those contributions wins.
- [10 Best Tellius Alternatives & Competitors In 2026](https://www.getdot.ai/blog/tellius-alternatives): Are you looking for the best Tellius alternatives?
- [10 Best Zoho Analytics Alternatives & Competitors In 2026](https://www.getdot.ai/blog/zoho-analytics-alternatives): Are you looking for the best Zoho Analytics alternatives?
- [The Same Customer, Spelled Four Ways](https://www.getdot.ai/blog/same-customer-spelled-four-ways): Entity resolution used to be the analyst's silent chore. AI analysts surface it on day one, and embeddings finally make it tractable.
- [Pay at Preparation Time or Pay at Query Time](https://www.getdot.ai/blog/preparation-time-vs-query-time): Every data question has a cost. The only choice is when you pay it, and whether your payments compound.
- [10 Best Mode Alternatives & Competitors In 2026](https://www.getdot.ai/blog/mode-alternatives): Are you looking for the best Mode alternatives?
- [10 Best Self-Service BI Tools & Software In 2026](https://www.getdot.ai/blog/self-service-bi-tools): Are you trying to compare the best self-service BI tools in 2026?
- [10 Best BI Tools For Data Visualization In 2026](https://www.getdot.ai/blog/bi-tools-for-data-visualization): Are you looking for the best business intelligence tools for data visualization?
- [Your Data Model Is the Prompt](https://www.getdot.ai/blog/your-data-model-is-the-prompt): Teams spend weeks engineering prompts for AI analytics and minutes naming columns. The agent reads your schema far more often than your instructions.
- [10 Best Conversational Analytics Software & Tools In 2026](https://www.getdot.ai/blog/conversational-analytics-software): Are you trying to compare the best conversational analytics tools in 2026?
- [10 Best Self-Service Analytics Tools & Software In 2026](https://www.getdot.ai/blog/self-service-analytics-tools): Are you looking for the best self-service analytics tools in 2026?
- [10 Best Qlik Sense Alternatives & Competitors In 2026](https://www.getdot.ai/blog/qlik-sense-alternatives): Are you looking for the best Qlik Sense alternatives on the market?
- [10 Best Sigma Computing Alternatives In 2026](https://www.getdot.ai/blog/sigma-computing-alternatives): Trying to compare the best Sigma Computing alternatives on the market?
- [10 Best AskEnola Alternatives & Competitors In 2026](https://www.getdot.ai/blog/askenola-alternatives): Are you trying to compare the best AskEnola alternatives on the market?
- [10 Best Supaboard Alternatives & Competitors In 2026](https://www.getdot.ai/blog/supaboard-alternatives): Are you looking for the best Supaboard alternatives?
- [10 Best Decision Intelligence Software & Platforms In 2026](https://www.getdot.ai/blog/decision-intelligence-software): I'll review the top 10 decision intelligence platforms for data teams that want to skip dashboards and get to decisions faster.
- [10 Best Lightdash Alternatives & Competitors In 2026](https://www.getdot.ai/blog/lightdash-alternatives): Are you looking for the best Lightdash alternatives?
- [10 Best Omni Analytics Alternatives & Competitors In 2026](https://www.getdot.ai/blog/omni-analytics-alternatives): Are you looking for the best Omni Analytics alternatives?
- [10 Best ThoughtSpot Alternatives & Competitors In 2026](https://www.getdot.ai/blog/thoughtspot-alternatives): Looking for the best ThoughtSpot alternatives in 2026?
- [From 10% to 90% on Adyen's DABstep: configuring a data warehouse agent](https://www.getdot.ai/blog/from-10-to-90-percent-on-adyens-dabstep): Google's Data Science Agent reaches ~52% on Adyen's DABstep. Trained analysts: ~62% in hours. A configured Dot answered 90% in seconds with the same model.
- [10 Best AI Data Integration Tools and Software In 2026](https://www.getdot.ai/blog/ai-data-integration-tools): Are you looking to compare the best AI data integration software on the market?
- [10 Best AI Dashboard Software & Tools In 2026](https://www.getdot.ai/blog/ai-dashboard-software): Are you trying to compare the best AI dashboard platforms on the market?
- [10 Best AI Data Analyst Software & Tools In 2026](https://www.getdot.ai/blog/ai-data-analyst-software): Are you looking for the best AI data analyst software on the market?
- [10 Best Tableau Alternatives & Competitors In 2026](https://www.getdot.ai/blog/tableau-alternatives): Are you looking for the best Tableau alternatives in 2026?
- [10 Best Zenlytic Alternatives & Competitors In 2026](https://www.getdot.ai/blog/zenlytic-alternatives): Are you looking for the best Zenlytic alternatives?
- [10 Best TextQL Alternatives & Competitors In 2026](https://www.getdot.ai/blog/textql-alternatives): Are you looking for the best TextQL alternatives?
- [10 Best DataGPT Alternatives & Competitors In 2026](https://www.getdot.ai/blog/datagpt-alternatives): Are you looking for the best DataGPT alternatives?
- [10 Best Metabase AI Alternatives & Competitors In 2026](https://www.getdot.ai/blog/metabase-ai-alternatives): Are you looking for the best Metabase AI alternatives?
- [10 Best Vanna AI Alternatives & Competitors In 2026](https://www.getdot.ai/blog/vanna-ai-alternatives): Are you looking for the best Vanna AI alternatives?
- [Dot vs. Claude Code for Data Analysis](https://www.getdot.ai/blog/dot-vs-claude-code): Claude Code can query your database. So can Dot. The difference is who else on your team will use it - and whether you can trust the answers.
- [10 Best Basedash Alternatives & Competitors In 2026](https://www.getdot.ai/blog/basedash-alternatives): 10 Best Basedash Alternatives & Competitors In 2026
- [10 Best Julius AI Alternatives & Competitors In 2026](https://www.getdot.ai/blog/julius-ai-alternatives): 10 Best Julius AI Alternatives & Competitors In 2026
- [10 Best Domo AI Alternatives & Competitors In 2026](https://www.getdot.ai/blog/domo-ai-alternatives): Are you trying to compare the best Domo AI alternatives on the market?
- [10 Best Looker Alternatives & Competitors In 2026](https://www.getdot.ai/blog/looker-alternatives): Are you trying to compare the best Looker alternatives in 2026?
- [How Dot Uses Your Power BI Semantic Models to Deliver Answers in Natural Language](https://www.getdot.ai/blog/how-dot-uses-your-power-bi-semantic-models): How Dot Uses Your Power BI Semantic Models to Deliver Answers in Natural Language
- [10 Best MindsDB Alternatives & Competitors In 2026](https://www.getdot.ai/blog/mindsdb-alternatives): Are you trying to compare the best MindsDB alternatives on the market?
- [Instacart's Griffin 2.0: The ML Platform Behind the AI](https://www.getdot.ai/blog/instacart-griffin-ml-platform): Instacart's Griffin 2.0: The ML Platform Behind the AI
- [What OpenAI's Data Agent Teaches Us (2026)](https://www.getdot.ai/blog/openai-data-agent-lessons): What OpenAI's Data Agent Teaches Us (2026)
- [10 Best Microsoft Power BI Alternatives & Competitors In 2026](https://www.getdot.ai/blog/microsoft-power-bi-alternatives): Are you trying to compare the best Microsoft Power BI alternatives on the market?
- [WordleBench](https://www.getdot.ai/blog/wordlebench-01765): WordleBench
- [d0: What Vercel's AI Data Agent Teaches Us About the Future of Analytics (2025)](https://www.getdot.ai/blog/d0-vercel-ai-data-agent-future-analytics): d0: What Vercel's AI Data Agent Teaches Us About the Future of Analytics (2025)
- [Gpt 5.2 is good but ...](https://www.getdot.ai/blog/gpt-52-is-good-but): Gpt 5.2 is good but ...
- [How DoorDash Built an Internal AI Platform That Actually Works (2025)](https://www.getdot.ai/blog/doordash-ai-platform-agents): How DoorDash Built an Internal AI Platform That Actually Works (2025)
- [Instacart's Intent Engine: Why Fine-Tuning Beats RAG](https://www.getdot.ai/blog/instacart-intent-engine-llm-fine-tuning): Instacart's Intent Engine: Why Fine-Tuning Beats RAG
- [ClickHouse's AgentHouse: When a Database Company Bets on AI Agents](https://www.getdot.ai/blog/clickhouse-agenthouse-librechat-mcp): ClickHouse's AgentHouse: When a Database Company Bets on AI Agents
- [Ramp Research: The Analyst Agent That Answers 1,800 Questions a Month](https://www.getdot.ai/blog/ramp-research-analyst-agent-slack-dbt): Ramp Research: The Analyst Agent That Answers 1,800 Questions a Month
- [Inside Stripe's AI Data Stack: Hubert, Toolshed, and the Data Discovery Problem](https://www.getdot.ai/blog/stripe-hubert-data-discovery): Inside Stripe's AI Data Stack: Hubert, Toolshed, and the Data Discovery Problem
- [Root Cause Analysis: How to Uncover Key Drivers Behind Your Metrics](https://www.getdot.ai/blog/root-cause-analysis-how-to-uncover-key-drivers-beh): Root Cause Analysis: How to Uncover Key Drivers Behind Your Metrics
- [How to Build a Data Culture: A Playbook By Stage](https://www.getdot.ai/blog/how-to-build-a-data-culture-a-playbook-by-stage): How to Build a Data Culture: A Playbook By Stage
- [Will AI replace managers? Early Signs Say Yes](https://www.getdot.ai/blog/will-ai-replace-managers-early-signs-say-yes): Will AI replace managers? Early Signs Say Yes
- [Will AI Replace Data Analysts? A Data Founder's Perspective](https://www.getdot.ai/blog/will-ai-replace-data-analysts-a-data-founders-pers): Will AI Replace Data Analysts? A Data Founder's Perspective
- [Uber's Finch: The Financial Data Agent That Lives in Slack](https://www.getdot.ai/blog/uber-finch-financial-data-agent): Uber's Finch: The Financial Data Agent That Lives in Slack
- [Conversational Analytics with LLMs in 2025: From Data-Chat to Decision Acceleration](https://www.getdot.ai/blog/conversational-analytics-with-llms-in-2025-from-da): Conversational Analytics with LLMs in 2025: From Data-Chat to Decision Acceleration
- [Salesforce's Horizon Agent: Text-to-SQL in Slack](https://www.getdot.ai/blog/salesforce-horizon-agent-text-to-sql): Salesforce's Horizon Agent: Text-to-SQL in Slack
- [AI Uncorks the Secret: Data Reveals What Really Makes Red Wine Great](https://www.getdot.ai/blog/ai-uncorks-the-secret-data-reveals-what-really-mak): AI Uncorks the Secret: Data Reveals What Really Makes Red Wine Great
- [Has Product Hunt Peaked? AI data analysis of 76,822 Launches](https://www.getdot.ai/blog/has-product-hunt-peaked-ai-data-analysis-of-76822): Has Product Hunt Peaked? AI data analysis of 76,822 Launches
- [Introducing Deep Analysis: The Next Generation of AI-Powered Analytics Agents](https://www.getdot.ai/blog/introducing-deep-analysis-the-next-generation-of-a): Introducing Deep Analysis: The Next Generation of AI-Powered Analytics Agents
- [What Netflix's LORE Teaches Us About Building AI Data Assistants (2024)](https://www.getdot.ai/blog/netflix-lore-analytics-chatbot): What Netflix's LORE Teaches Us About Building AI Data Assistants (2024)
- [Follow the Money: Insights from FEC Data on US Elections 2024](https://www.getdot.ai/blog/follow-the-money-insights-from-fec-data-on-us-elec): Follow the Money: Insights from FEC Data on US Elections 2024
- [What LinkedIn Learned Building an AI Data Agent for 300+ Weekly Users (2024)](https://www.getdot.ai/blog/linkedin-sql-bot-data-agent): What LinkedIn Learned Building an AI Data Agent for 300+ Weekly Users (2024)
- [How Airbnb Built an AI Platform That Actually Works (2024)](https://www.getdot.ai/blog/airbnb-automation-platform-ai): How Airbnb Built an AI Platform That Actually Works (2024)
- [How Uber Built an AI Data Agent That Saves 140,000 Hours Every Month (2024)](https://www.getdot.ai/blog/uber-querygpt-data-agent): How Uber Built an AI Data Agent That Saves 140,000 Hours Every Month (2024)
- [What we have learned about LLM agents over 1.5y building an AI data and analytics assistant](https://www.getdot.ai/blog/what-we-have-learned-about-llm-agents-over-15y-bui): What we have learned about LLM agents over 1.5y building an AI data and analytics assistant
- [Analytics LLM assistants + Semantic Layer = Easy data adoption](https://www.getdot.ai/blog/analytics-llm-assistants-semantic-layer-easy-data): Analytics LLM assistants + Semantic Layer = Easy data adoption
- [How Pinterest Built Text-to-SQL: The Table Discovery Problem](https://www.getdot.ai/blog/pinterest-text-to-sql-querybook): How Pinterest Built Text-to-SQL: The Table Discovery Problem
- [Text to SQL is solved. What's next?](https://www.getdot.ai/blog/text-to-sql-is-solved-whats-next): Text to SQL is solved. What's next?
- [From ChatGPT to autonomous AI agents: the real power of LLMs](https://www.getdot.ai/blog/from-chatgpt-to-autonomous-ai-agents-the-real-powe): From ChatGPT to autonomous AI agents: the real power of LLMs
- [ChatGPT on Looker: bring analytics self-service to the next level with Dot](https://www.getdot.ai/blog/chatgpt-on-looker-bring-analytics-self-service-to): ChatGPT on Looker: bring analytics self-service to the next level with Dot
- [Self-service is dead, long live self-service!](https://www.getdot.ai/blog/self-service-is-dead-long-live-self-service): Self-service is dead, long live self-service!

## Company
- [About](https://www.getdot.ai/about): Why we build Dot.
- [Security & Trust](https://www.getdot.ai/security): SOC 2 Type II, GDPR, zero data retention on LLM providers, SSO, RBAC, audit logging.
- [Blog](https://www.getdot.ai/blog): Guides and research on AI-powered analytics.
- [Changelog](https://www.getdot.ai/changelog): Product release notes.
- [Documentation](https://docs.getdot.ai): Product and integration docs.
- [Privacy Policy](https://www.getdot.ai/legal/privacy-policy): How we process and protect personal data.
- [Terms of Service](https://www.getdot.ai/legal/terms-of-service): The terms that govern use of Dot.