# 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.
- [Deep Analysis](https://www.getdot.ai/deep-analysis): Multi-step investigations that find the "why" behind the numbers.
- [Automated Reports](https://www.getdot.ai/automated-reports): Scheduled insights delivered to Slack and email, only when they matter.
- [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, BI tools, and chat apps.

## Integrations
- [Snowflake](https://www.getdot.ai/integrations/snowflake): Connect with a dedicated role and read-only user. Dot syncs your schema, column descriptions, and relationships, then generates verified SQL for every answer.
- [BigQuery](https://www.getdot.ai/integrations/bigquery): Authenticate with a GCP service account and grant dataset-level access. Dot handles BigQuery's nested schemas, partitioned tables, and billing-optimized query patterns.
- [Redshift](https://www.getdot.ai/integrations/redshift): Connect with a dedicated user and group over SSL. Dot resolves Redshift-specific SQL dialect, distribution keys, and late-binding views for accurate results.
- [Postgres](https://www.getdot.ai/integrations/postgres): Connect with a read-only user over SSL. Works with Amazon RDS, Google Cloud SQL, Azure Database, Supabase, and self-hosted instances.
- [AWS Athena](https://www.getdot.ai/integrations/aws-athena): Authenticate with IAM credentials and specify your S3 output location. Dot generates Presto-compatible SQL optimized for partitioned data in S3.
- [Databricks SQL](https://www.getdot.ai/integrations/databricks): Connect with a personal access token and SQL warehouse endpoint. Dot queries your lakehouse using Unity Catalog-aware SQL with proper catalog and schema references.
- [Microsoft SQL](https://www.getdot.ai/integrations/microsoft-sql-server): Connect with SQL Server authentication over TLS. Dot supports multi-schema databases, linked servers, and T-SQL-specific syntax for accurate query generation.
- [MySQL](https://www.getdot.ai/integrations/mysql): Connect with a read-only user over SSL. Supports MySQL 5.7+, MySQL 8, MariaDB, and managed services like Amazon RDS and PlanetScale.
- [MotherDuck](https://www.getdot.ai/integrations/duckdb): Connect with a MotherDuck token for cloud-hosted DuckDB. Dot generates DuckDB-dialect SQL optimized for analytical queries on your serverless warehouse.
- [Microsoft Fabric](https://www.getdot.ai/integrations/microsoft-fabric): Authenticate via OAuth with your Microsoft Entra account. Dot connects to Fabric SQL endpoints and resolves lakehouse and warehouse schemas automatically.
- [ClickHouse](https://www.getdot.ai/integrations/clickhouse): Connect with a read-only user over native or HTTP protocol. Dot generates ClickHouse SQL optimized for its columnar engine, MergeTree tables, and materialized views.
- [Oracle Database](https://www.getdot.ai/integrations/oracle): Connect Dot to your Oracle Database to query and visualize your data using natural language. Dot supports Oracle 12c and later using direct TNS connections — no Oracle Client installation required on the Dot side.
- [SAP HANA](https://www.getdot.ai/integrations/sap-hana): Connect with a dedicated user over JDBC. Dot navigates HANA's schema views, calculation views, and column-store tables for accurate analytical queries.
- [Firebolt](https://www.getdot.ai/integrations/firebolt): Connect with a service account and specify your engine. Dot generates Firebolt-optimized SQL that leverages aggregating indexes and sparse indexes for sub-second analytics.
- [Supabase](https://www.getdot.ai/integrations/supabase): Connect directly to your Supabase Postgres instance with a read-only role. Dot works with your existing tables, views, and Row Level Security policies.
- [Looker](https://www.getdot.ai/integrations/looker): Authenticate with Looker API credentials. Dot queries through your LookML models and explores, respecting dimension types, measure aggregations, and access filters.
- [Power BI](https://www.getdot.ai/integrations/power-bi): Connect with one-click OAuth to your Power BI workspace. Dot reads your semantic model and executes DAX measures via XMLA for calculation-accurate answers.
- [dbt](https://www.getdot.ai/integrations/dbt): Sync your dbt project via GitHub or API. Dot imports model descriptions, SQL definitions, column-level docs, and lineage to enrich every answer with your business context.
- [Cube](https://www.getdot.ai/integrations/cube): Connect with a Cube API token. Dot uses your pre-defined measures, dimensions, and joins so every answer aligns with your governed metric definitions.
- [Steep](https://www.getdot.ai/integrations/steep): Connect with your Steep API key. Dot queries your centrally defined metrics and dimensions, ensuring consistent metric definitions across every answer.
- [GitHub](https://www.getdot.ai/integrations/github): Sync dbt repos for metadata and lineage, clone code repos for AI context, or enable bidirectional sync of Dot context files with webhook-driven real-time updates.
- [Slack](https://www.getdot.ai/integrations/slack): Install the Dot app in your Slack workspace with one click. Your team asks data questions in channels, DMs, or threads and gets answers with charts rendered inline.
- [Microsoft Teams](https://www.getdot.ai/integrations/microsoft-teams): Add the Dot app to Microsoft Teams through your admin center. Your team asks data questions in channels and chats with full chart and table rendering.
- [Email](https://www.getdot.ai/integrations/email): Configure scheduled reports that deliver AI-generated summaries, charts, and data tables directly to any inbox. Set daily, weekly, or custom delivery cadences.
- [MCP](https://www.getdot.ai/integrations/mcp): Expose Dot as an MCP server so Claude, ChatGPT, Cursor, and other AI assistants can query your data. Works with any MCP-compatible client out of the box.
- [CSV / Excel](https://www.getdot.ai/integrations/csv-excel): Drag and drop CSV or Excel files directly into Dot. Columns, types, and relationships are detected automatically so you can start querying immediately.
- [Tableau](https://www.getdot.ai/integrations/tableau): Authenticate with Tableau Online or Server credentials. Dot indexes your workbooks, dashboards, and published data sources to surface existing analyses alongside fresh SQL answers.
- [Metabase](https://www.getdot.ai/integrations/metabase): Connect with Metabase API credentials. Dot imports your saved questions, dashboards, and collections to enrich answers with your team's existing analysis.
- [Sigma](https://www.getdot.ai/integrations/sigma): Authenticate with Sigma API credentials. Dot indexes your workbooks and datasets to reference existing analyses when answering questions about your data.

## 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
- [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 — 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): 10 Best Domo AI Alternatives & Competitors In 2026
- [10 Best Looker Alternatives & Competitors In 2026](https://www.getdot.ai/blog/looker-alternatives): 10 Best Looker Alternatives & Competitors 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): 10 Best MindsDB Alternatives & Competitors In 2026
- [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): 10 Best Microsoft Power BI Alternatives & Competitors In 2026
- [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.