# Supaboard

> Supaboard is an AI data analyst for your whole team: connect 700+ data sources, ask questions in plain English, and see the SQL behind every answer.

Supaboard is an AI business intelligence platform. It connects to your apps, databases and warehouses, answers questions in natural language, builds live dashboards from a single prompt, and fires alerts when a number crosses a line you set — so teams get answers without waiting on an analyst.

Every answer carries the query that produced it, so it can be checked rather than taken on faith. Connections to your databases are read-only: the query layer rejects DDL and DML before a statement reaches your source.

- Connectors: 700+ across 6 categories (Databases, Finance & Operations, Sales Marketing & Customer, Engineering & Product, People & HR, Others).
- Plans: Individual ($99/user/month, or $83/user/month billed annually — $990/user/year), Business ($249/user/month, or $208/user/month billed annually — $2,490/user/year), Enterprise (custom). Every plan starts with a 14-day free trial, no credit card.
- Product docs live at https://docs.supaboard.ai; the app itself is at https://web.supaboard.ai.
- Machine-readable indexes: https://supaboard.ai/sitemap.xml and https://supaboard.ai/blog/rss.xml.
- Every page below is also served as markdown: append `.md` to its path (https://supaboard.ai/pricing.md), or request it with `Accept: text/markdown`.
- Published by Fyipen Private Limited, #210, 16th Main, Yellukunte, Indira Canteen Road, Bengaluru, Karnataka, India. Contact founders@supaboard.cloud.

## Core pages

- [Supaboard](https://supaboard.ai/): Product overview: AI analysts, natural-language questions and live dashboards.
- [Pricing](https://supaboard.ai/pricing): Per-user plans and the full feature matrix. Individual ($99/user/month, or $83/user/month billed annually — $990/user/year), Business ($249/user/month, or $208/user/month billed annually — $2,490/user/year), Enterprise (custom). 14-day free trial on every plan.
- [Connectors](https://supaboard.ai/integrations): Every data source, app and warehouse Supaboard connects to — 700+ connectors across 6 categories.
- [Blog](https://supaboard.ai/blog): Insights, tips and updates. 49 posts.
- [Case studies](https://supaboard.ai/case-study): How real teams run analytics on Supaboard. 4 studies.
- [Comparisons](https://supaboard.ai/compare): Supaboard against other BI platforms, with every competitor figure sourced to its own pages. 24 vendors.
- [Enterprise](https://supaboard.ai/enterprise): Self-hosting in your own VPC, bring-your-own-key inference, SOC 2 Type II, HIPAA BAA on request, forward-deployed engineers.

## Product

- [Ask Analysts](https://supaboard.ai/product/ask-analysts): Ask a question the way you'd say it out loud and get the chart, the numbers and the SQL behind them — in Supaboard, Slack, Claude or ChatGPT.
- [Datasites](https://supaboard.ai/product/datasites): Describe the site you need and Supaboard builds it from your live data, in your brand, on a link you can send or embed in your own product. No front-end work and no hosting to arrange.
- [Dashboards](https://supaboard.ai/product/dashboards): Say what you want to track and get a working dashboard from your own data. 20+ chart types, filters that carry across the board, and a digest.
- [Automations](https://supaboard.ai/product/automations): Schedule a question, or fire one the moment a number moves. 17 blocks turn the answer into an email, a spreadsheet or a webhook.
- [Query Builder](https://supaboard.ai/product/query-builder): Write SQL or Python against any connected source, with autocomplete that has read your schema and a check that runs before your query does.
- [Agents](https://supaboard.ai/product/agents): Every Supaboard analyst is an agent with a confidence score, an evaluation suite and 7 tuning surfaces you control. 2,000+ agents trained so far.

## Solutions

- [Healthcare Analytics — HIPAA-Ready AI for RCM](https://supaboard.ai/industry/healthcare): AI analytics for healthcare and revenue cycle teams: HIPAA BAA, read-only connections, deployment in your own VPC. With results from two providers.
- [SaaS Analytics Without a Data Team](https://supaboard.ai/industry/saas): Product, revenue and support data answered across the tools a SaaS company already runs, with the SQL shown. How Objection.ai runs with no analysts.

## Case studies

- [How Objection.ai runs a no-data-analyst company with Supaboard](https://supaboard.ai/case-study/objection.ai): Objection.ai (Legal tech / Dispute resolution) — 100% self-serve analytics. An AI tribunal unified eleven systems and gave marketing and product self-serve analytics — without hiring a single analyst.
- [How Jindal Healthcare cut analytics costs by 90% with Supaboard](https://supaboard.ai/case-study/jindal-healthcare): Jindal Healthcare (Healthcare / RCM) — 90% lower analytics costs. An RCM provider unified claims, payer and denial data across every client, and moved analysis from four hours to two minutes.
- [How Gabriella.pl built one source of truth for marketing with Supaboard](https://supaboard.ai/case-study/gabriella.pl): Gabriella.pl (E-commerce / Performance marketing) — 4 platforms. One source of truth.. A performance-led ecommerce brand unified four ad platforms and stopped arguing about which one's numbers to believe.
- [How Legend EHR gave every clinic manager their own analyst with Supaboard](https://supaboard.ai/case-study/legend-ehr): Legend EHR (Healthcare software) — Analyst for every team. A healthcare software provider gave every clinic and store manager a self-serve analyst scoped to their own location.

## Comparisons

- [Supaboard vs Tableau](https://supaboard.ai/compare/tableau): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Tableau's own pages, plus why teams choose Supaboard over Tableau.
- [Supaboard vs Microsoft Power BI](https://supaboard.ai/compare/power-bi): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Microsoft Power BI's own pages, plus why teams choose Supaboard over Microsoft Power BI.
- [Supaboard vs Metabase](https://supaboard.ai/compare/metabase): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Metabase's own pages, plus why teams choose Supaboard over Metabase.
- [Supaboard vs ThoughtSpot](https://supaboard.ai/compare/thoughtspot): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to ThoughtSpot's own pages, plus why teams choose Supaboard over ThoughtSpot.
- [Supaboard vs Looker](https://supaboard.ai/compare/looker): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Looker's own pages, plus why teams choose Supaboard over Looker.
- [Supaboard vs Qlik](https://supaboard.ai/compare/qlik): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Qlik's own pages, plus why teams choose Supaboard over Qlik.
- [Supaboard vs Domo](https://supaboard.ai/compare/domo): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Domo's own pages, plus why teams choose Supaboard over Domo.
- [Supaboard vs Sigma](https://supaboard.ai/compare/sigma): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Sigma's own pages, plus why teams choose Supaboard over Sigma.
- [Supaboard vs Omni](https://supaboard.ai/compare/omni): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Omni's own pages, plus why teams choose Supaboard over Omni.
- [Supaboard vs Zenlytic](https://supaboard.ai/compare/zenlytic): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Zenlytic's own pages, plus why teams choose Supaboard over Zenlytic.
- [Supaboard vs WisdomAI](https://supaboard.ai/compare/wisdom-ai): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to WisdomAI's own pages, plus why teams choose Supaboard over WisdomAI.
- [Supaboard vs TextQL](https://supaboard.ai/compare/textql): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to TextQL's own pages, plus why teams choose Supaboard over TextQL.
- [Supaboard vs Sundial](https://supaboard.ai/compare/sundial): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Sundial's own pages, plus why teams choose Supaboard over Sundial.
- [Supaboard vs Wren AI](https://supaboard.ai/compare/wren-ai): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Wren AI's own pages, plus why teams choose Supaboard over Wren AI.
- [Supaboard vs Basedash](https://supaboard.ai/compare/basedash): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Basedash's own pages, plus why teams choose Supaboard over Basedash.
- [Supaboard vs Hex](https://supaboard.ai/compare/hex): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Hex's own pages, plus why teams choose Supaboard over Hex.
- [Supaboard vs Lightdash](https://supaboard.ai/compare/lightdash): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Lightdash's own pages, plus why teams choose Supaboard over Lightdash.
- [Supaboard vs Julius AI](https://supaboard.ai/compare/julius-ai): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Julius AI's own pages, plus why teams choose Supaboard over Julius AI.
- [Supaboard vs Bruin](https://supaboard.ai/compare/bruin): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Bruin's own pages, plus why teams choose Supaboard over Bruin.
- [Supaboard vs Snowflake Cortex Analyst](https://supaboard.ai/compare/snowflake-cortex): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Snowflake Cortex Analyst's own pages, plus why teams choose Supaboard over Snowflake Cortex Analyst.
- [Supaboard vs Databricks Genie](https://supaboard.ai/compare/databricks-genie): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Databricks Genie's own pages, plus why teams choose Supaboard over Databricks Genie.
- [Supaboard vs Amazon QuickSight](https://supaboard.ai/compare/amazon-quicksight): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Amazon QuickSight's own pages, plus why teams choose Supaboard over Amazon QuickSight.
- [Supaboard vs ChatGPT](https://supaboard.ai/compare/chatgpt): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to ChatGPT's own pages, plus why teams choose Supaboard over ChatGPT.
- [Supaboard vs Claude](https://supaboard.ai/compare/claude): Entry price, free trial, self-hosting and natural-language querying compared, each figure sourced to Claude's own pages, plus why teams choose Supaboard over Claude.

## Blog

- [Sisense Alternatives: 7 BI Tools Compared in 2026](https://supaboard.ai/blog/sisense-alternatives): product — Comparing Sisense alternatives in 2026? See how Supaboard, ThoughtSpot, Power BI, Looker, Metabase, Domo, and Qlik Sense stack up on setup, AI, and price.
- [AI Data Analyst: How It Works and Best Tools (2026)](https://supaboard.ai/blog/ai-data-analyst): engineering — An AI data analyst answers questions against governed definitions instead of raw schema. How it works, what it automates, and what it cannot.
- [From 4 Hours to 2 Minutes: An RCM Analytics Rebuild](https://supaboard.ai/blog/from-4-hours-to-2-minutes-rcm-analytics): company — A revenue cycle management company cut per-client analysis from four hours to two minutes, with every piece of patient data masked before it ever moved.
- [What Is a Semantic Layer? The 2026 Field Guide](https://supaboard.ai/blog/what-is-a-semantic-layer): engineering — A founder's field guide to the semantic layer in 2026: what it is, why AI agents fail without one, and how dbt, Cube, AtScale, Looker, and Malloy compare.
- [How to Evaluate AI BI Tools: 12 Questions for Demos](https://supaboard.ai/blog/how-to-evaluate-ai-bi-tools): product — Most AI BI demos are rehearsed against prepared data. Twelve questions that separate a working product from a well-practised sales presentation.
- [Is AI BI Just Text-to-SQL? The Honest Difference (With Examples)](https://supaboard.ai/blog/is-ai-bi-just-text-to-sql): engineering — Text-to-SQL turns a question into a query. AI-native BI understands the business. Here's the real difference, with a worked NRR example and a 5-min test.
- [Data Visualization Tools: A 2026 Buyer's Guide](https://supaboard.ai/blog/data-visualization-tools): product — Which data visualization tool fits your team, how they price at scale, and the chart choices that decide whether anybody reads the result at all.
- [Analytics Without a Data Team: A Practical Guide](https://supaboard.ai/blog/analytics-without-a-data-team): company — How teams with no analysts build a single source of truth, agree on shared metric definitions, and answer their own data questions without joining a queue.
- [Positive vs Negative Correlation, With Examples](https://supaboard.ai/blog/positive-vs-negative-correlation): data — Positive correlation means variables move together, negative means apart. How to read strength and direction, and how to avoid the dual-axis trap.
- [Spend Analytics: Tools, Use Cases and Best Practices](https://supaboard.ai/blog/spend-analytics): data — Spend analytics turns scattered procurement data into savings you can act on, and the use cases that reliably pay back before all the others do.
- [AI Contextual Governance for Analytics Teams](https://supaboard.ai/blog/ai-analytics-governance): engineering — Static AI rules either over-restrict or over-expose. How contextual governance scores each request, and why fabricated insights fail silently.
- [Top ThoughtSpot Alternative in 2026: Best Tools Compared](https://supaboard.ai/blog/thoughtspot-alternatives): product — ThoughtSpot pioneered search-style analytics at enterprise prices. How alternatives compare on setup cost, modelling and time to first answer.
- [AI Predictive Analytics in Healthcare: A Practical Guide](https://supaboard.ai/blog/healthcare-analytics): data — Healthcare analytics is constrained first by what data may legally move. How masking, prediction and explainability fit together in practice.
- [Manufacturing Analytics: Why It Matters More Than Ever in 2026](https://supaboard.ai/blog/manufacturing-analytics): data — Manufacturing analytics joins machine telemetry to commercial outcomes. Where predictive maintenance pays back, and where it quietly does not at all.
- [Retail Business Intelligence: KPIs, Tools and Pitfalls](https://supaboard.ai/blog/retail-business-intelligence): data — Retail KPIs work in four layers: sales, inventory, customer, margin. How to read them together so that a revenue drop always gets the right response.
- [Database Optimization: Performance and Scaling](https://supaboard.ai/blog/database-optimization): engineering — Most database performance problems are query plans, not hardware. How to find them, what indexing really costs you, and when to scale up instead.
- [Agentic Analytics vs Traditional BI: What Changes](https://supaboard.ai/blog/agentic-analytics): product — Traditional BI tells you what happened. Agentic analytics runs the investigation. How the two differ, and three demo tests that separate them.
- [Power BI vs Tableau: Which is Better in 2026?](https://supaboard.ai/blog/power-bi-vs-tableau): product — How to choose between Power BI & Tableau? the final decision depends on the unique needs & requirements of your organization. Read below to know more.
- [Metabase Alternatives Compared for 2026](https://supaboard.ai/blog/metabase-alternatives): product — Metabase is easy to start with and awkward to white label. How the alternatives compare on embedding, multi-tenancy, support and on pricing shape.
- [Natural Language Query Analytics: A 2026 Guide](https://supaboard.ai/blog/natural-language-query-analytics): data — Ask a data question in plain English and get a real answer back. How NLQ works, where it earns its keep, and the prerequisite that vendors gloss over.
- [Bar Graph vs Histogram: Differences and When to Use](https://supaboard.ai/blog/bar-graph-vs-histogram): data — Bar graphs compare categories, histograms show distribution. The differences, worked examples, and the reorder test that settles which you need.
- [AI-Native Business Intelligence Tools: The 2026 Shortlist](https://supaboard.ai/blog/ai-native-business-intelligence-tools): product — Which BI tools are genuinely AI-native rather than a chat box bolted onto a dashboard, how to tell the difference in a demo, and what each one is for.
- [Data Engineering in 2027: What Skills Will Still Matter?](https://supaboard.ai/blog/data-engineering): engineering — What data engineers actually do now that pipelines became a commodity, which parts of the job automate away, and which judgement calls never will.
- [What Is Data Connectivity? How It Works + Real Examples](https://supaboard.ai/blog/data-connectivity): engineering — Data connectivity lets systems share data so questions can span them. How it works, and how it differs from application and data integration.
- [Best AI BI Tools in 2026: Features, Pricing, Comparison](https://supaboard.ai/blog/best-ai-bi-tools): product — Explore the top AI BI tools in 2026 with real comparisons, pricing, and insights. Find the right business intelligence platform for faster, smarter decisions.
- [Self-Service Analytics vs Traditional BI: Complete 2026 Guide](https://supaboard.ai/blog/self-service-bi): data — Self-service BI moves questions closer to the people asking them. What it changes, what it costs in governance, and when traditional BI wins.
- [Enterprise Business Intelligence: Use Cases and Tools](https://supaboard.ai/blog/enterprise-business-intelligence): data — Enterprise BI is defined by governance as much as by analysis. The use cases, the tools, and why definitions matter far more than the dashboards do.
- [What Is a Real-Time Analytics Platform? Complete Guide (2026)](https://supaboard.ai/blog/real-time-analytics): data — Real-time analytics narrows the gap between what happens and what you know. How it differs from business activity monitoring, and when to buy.
- [Ecommerce Analytics: Metrics That Change Decisions](https://supaboard.ai/blog/ecommerce-analytics): data — Cart abandonment is several problems, not one. How to instrument the funnel, segment before concluding, and find failed payments hiding in it.
- [What Is Business Intelligence? Complete Guide for Businesses](https://supaboard.ai/blog/business-intelligence): data — Business intelligence turns operational data into decisions people actually make. What it covers, how it evolved, and why most BI failures are definitional.
- [Database vs Data Warehouse vs Data Lake](https://supaboard.ai/blog/database-vs-data-warehouse-vs-data-lake): engineering — Databases serve transactions, warehouses serve analysis, lakes store raw data. How they differ and which one your question actually belongs in.
- [Financial Dashboard Examples You Should Use in 2026 (With KPIs)](https://supaboard.ai/blog/financial-dashboard-examples): data — Explore financial dashboard examples with key KPIs, real use cases, and layouts businesses use to track revenue, cash flow, and performance in real time.
- [How Generative AI Is Transforming Business Intelligence](https://supaboard.ai/blog/generative-business-intelligence): data — Discover how generative business intelligence uses AI to deliver real-time insights, natural language analytics, and faster decision-making.
- [BI Dashboard: What It Is, Why It Matters & How It Helps](https://supaboard.ai/blog/bi-dashboards): data — A dashboard exists to trigger a decision by a named person. How to build one that does, which metrics belong on it, and when you should delete it again.
- [DBT Explained: What It Is, How It Works, and Why Teams Use It](https://supaboard.ai/blog/dbt): engineering — dbt brings version control, testing and documentation to SQL transformations. What it does, where MetricFlow fits in, and when it is simply overkill.
- [What is a KPI? Real Examples for SaaS & Business Teams](https://supaboard.ai/blog/what-is-a-kpi): data — A KPI is a measure tied to a decision somebody makes. How to choose them, define them so teams agree, and tell them from ordinary statistics.
- [What Is Predictive Analytics? Simple Guide](https://supaboard.ai/blog/what-is-predictive-analytics): data — Predictive analytics estimates outcomes from historical patterns. How it works, what bounds its accuracy, and when a forecast is worth trusting.
- [Best Looker Alternatives for Modern Analytics in 2026](https://supaboard.ai/blog/looker-alternatives): product — Find the best Looker alternatives for modern analytics. Compare Looker-like BI tools for enterprises, from AI-powered platforms to open-source options.
- [The Four Types of Analytics, and Which to Build First](https://supaboard.ai/blog/types-of-analytics): data — Descriptive, diagnostic, predictive and prescriptive analytics explained, and why building them out of order produces forecasts nobody trusts.
- [What Is an Ad Hoc Query? Definition, Examples & Use](https://supaboard.ai/blog/what-is-an-ad-hoc-query): data — An ad hoc query answers a specific unplanned question. What makes one ad hoc, how teams use them, and how to cut the requests reaching your analysts.
- [Best Omni Alternative to Apache Superset](https://supaboard.ai/blog/apache-superset-alternatives): product — Apache Superset is free to license and costs real engineering time to run. How the alternatives compare on governance, support and total cost of ownership.
- [Logistics Analytics: Turning Supply Chain Data Into Action](https://supaboard.ai/blog/logistics-analytics): data — Logistics analytics is about exceptions, not averages. Which signals matter, why aggregate on-time rates mislead, and how to join the systems.
- [15 SaaS Metrics That Actually Drive Growth (With Examples)](https://supaboard.ai/blog/saas-business-intelligence): data — SaaS metrics only ever mean something together. How to join product, billing and CRM data, and where cohort logic most quietly goes wrong on you.
- [Tableau Alternatives: Top BI Tools Compared in 2026](https://supaboard.ai/blog/tableau-alternatives): product — Tableau is strong for visual exploration and priced accordingly. How the alternatives compare, and when the whole category is wrong for you.
- [What Is Data Modeling? Types, Tools and Examples](https://supaboard.ai/blog/what-is-data-modeling): engineering — Data modeling defines the entities and relationships a business runs on. The types, the tools, and how the model decides what you are able to ask.
- [Data Science vs Data Analytics: What You Need To Know](https://supaboard.ai/blog/data-science-vs-data-analytics): data — Data analytics explains what happened; data science predicts what will. Where the roles overlap, where they do not, and which one you probably need.
- [Will Data Analysts Be Replaced by AI? The Truth Behind the Fear](https://supaboard.ai/blog/will-ai-replace-data-analysts): engineering — AI automates retrieval and recurring reports. It does not decide what a metric means or what a movement implies. What the analyst role becomes instead.
- [Embedded Analytics: How It Works and What It Costs](https://supaboard.ai/blog/embedded-analytics): product — Embedded analytics puts insight inside your own product. How it works, what white labelling adds, and why per-seat pricing breaks down badly at scale.
- [What Is an AI Dashboard? How It Works and What It Changes](https://supaboard.ai/blog/ai-dashboard-explained): product — An AI dashboard is built from a question rather than assembled by hand. How that works, where it beats a static dashboard, and where it does not.

## Optional

- [Documentation](https://docs.supaboard.ai): Setup, build and scale guides.
- [Privacy Policy](https://supaboard.ai/privacy-policy): How Supaboard handles personal data.
- [Terms & Conditions](https://supaboard.ai/terms-and-conditions): Terms of service.