# 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.
- [Google Sheets](https://www.getdot.ai/integrations/google-sheets): Share the sheet, paste the link, done. Every table-shaped tab becomes a queryable table, and Dot reads the live sheet on every query — no exports, no stale copies.
- [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.
- [Malloy](https://www.getdot.ai/integrations/malloy): Point Dot at the git repository that holds your Malloy model. Dot reads sources, joins, and measures straight from the code, so answers match the numbers your model produces.
- [Azure Analysis Services](https://www.getdot.ai/integrations/azure-analysis-services): Connect your AAS server and Dot syncs tables, measures, and relationships from your tabular models — answering with your DAX measures instead of reinventing them.
- [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.
- [GitLab](https://www.getdot.ai/integrations/gitlab): Bidirectional sync between Dot's context files and a GitLab project — on gitlab.com or self-hosted. Also hosts your dbt and Malloy repos for model and lineage sync.
- [Bitbucket](https://www.getdot.ai/integrations/bitbucket): Host your dbt or Malloy project on Bitbucket and connect it over HTTPS. Dot syncs model definitions, documentation, and lineage straight from the repo.
- [Notion](https://www.getdot.ai/integrations/notion): Dot searches and reads the pages and databases you share with it — and, when you enable writes, creates or updates pages with clear Dot attribution.
- [Confluence](https://www.getdot.ai/integrations/confluence): Connect Atlassian Cloud once and Dot can search and read your spaces — and, when enabled, publish pages and comments in native Confluence format.
- [Jira](https://www.getdot.ai/integrations/jira): Dot searches issues with JQL and reads them for context — and can file a ticket straight from an analysis when you enable writes.
- [Slite](https://www.getdot.ai/integrations/slite): Connect Slite and Dot answers "what does our wiki say about X?" through Slite's own ask endpoint, with cited sources. Read-only by design.
- [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): Email Dot a question and the answer comes back in the same thread — charts inline, data attached. Scheduled reports deliver on your cadence, and recipients can simply reply to dig deeper.
- [MCP](https://www.getdot.ai/integrations/mcp): Expose Dot as an MCP server so Claude, ChatGPT, Cursor, and Microsoft Copilot can query your data — with every Dot permission still enforced.
- [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.
- [Qlik](https://www.getdot.ai/integrations/qlik): Connect your Qlik Cloud tenant with a machine-to-machine OAuth client. Dot reads your Qlik apps to learn which metrics your team trusts and how dashboards define them.

## 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
- [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 — 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)
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- [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
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- [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.
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- [Blog](https://www.getdot.ai/blog): Guides and research on AI-powered analytics.
- [Changelog](https://www.getdot.ai/changelog): Product release notes.
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