- PRODUCT HUNT#1 Product of the Week, February 2026, view the launch on Product Hunt (opens in a new tab)
- G2 rating: 4.8 out of 5 from 3 reviews, read the reviews on G2 (opens in a new tab)
One agent. The whole analyst job.
Answers, dashboards, reports and alerts on your own database, without waiting on anyone.
Businesses that run on Supaboard
One question, and the work that follows it
1. Ask
“Why is the West down last month?” Asked from the app, Slack or Claude. Revenue is up 7% overall, but the West fell 20%, from $70k to $56k.
2. Explore
A follow-up splits the West by what changed. Gross sales held flat at $75k. Refunds rose from $5k to $19k.
3. Understand
Refunds on delayed orders went from $2k to $16k: that is the drop. The query behind each number is one click away, and your agent applies your own definition of a refund.
4. Keep watching
An alert now checks refunds on delayed orders and emails the team when they climb again.
An illustrative example on sample data. Your questions start from the data you connect.
What changes when one agent does the job
90% lower analysis cost
Jindal Healthcare moved their exploratory analysis to agents and cut total analysis cost by 90%
Analysis: 2 Days to 4 Mins
Objection AI cut exploratory analysis from 2 days to 4 minutes, from request to answer
Analysis: 4 Hrs to 2 Mins
Jindal Healthcare's recurring per-client analysis went from 4 hours to 2 minutes
Every job, one agent
1. Understand the answer
Your definitions, from corrections
Agents
Load the rules, the definitions and the gotchas per table, so an agent knows what your team means by “active customer”
Learns from corrections
A thumbs-down becomes a rule. Approved SQL becomes a verified example. The agent gets sharper every week instead of needing a semantic model first.
Scored on your own questions
Evals grade the agent 0 to 100 against answers you know, on every plan. Accuracy is a number you watch, not a promise.
2. Keep what you found
Dashboards, datasites and embeds from the same agent
Realtime Dashboards & Live Datasites
Describe what you want to watch. The charts get picked, wired to live data, and laid out as one board, or as a whole datasite on a link you can send
Embeds
One iframe into your own product. You pick which filters the viewer controls, and whether the page demands a signed token before it loads
Insights
Every chart writes up what changed beside it: which segment moved, by how much, and what it means if the trend holds
3. Keep watching
The Monday report and the alerts, run on their own
Scheduled Reports
Describe the report once. It runs on your schedule and arrives already written up
Run History
Every run is logged. See when it fired, what each step returned, and why, with no digging required
AI Analyst Steps
Add an Ask Analysts step to the workflow, and AI Analyst answers afresh from live data every time the automation fires
Built for your business definitions and access controls
Read-only by construction, credentials that never leave the workspace, every query logged. The controls a security review asks for, stated plainly.
GDPR
Built to the EU’s data protection rules, including where your data is processed.
Data EncryptionConnection credentials are encrypted at rest, scoped per workspace, and never logged or returned to the browser.
SOC 2 Type II
Controls audited by an outside firm, over a period, not on one day. Report available under NDA.
Your data stays yoursThe query layer rejects DROP, INSERT, UPDATE and every other write before it reaches your database.
HIPAA
A signed BAA, and infrastructure that can hold protected health information.
Secure IntegrationsVerified variables scope every query to the signed-in user's own data.
Your database and your tools
Databases, warehouses
and any MCP server
12 databases and warehouses, queried live when you ask, and any tool with an MCP server, read live by your agents (22 are ready to add). Nothing is synced or copied ahead of time.
Connect your data
1. Databases & Data Warehouses
2. Any Tool With an MCP Server
- +9
3. Ask From Slack & MCP Clients
- +5
One agent that does the job the dashboard was for
| Feature | Supaboard |  Tableau |  Power BI |  Looker |  Metabase |  ChatGPT |
|---|---|---|---|---|---|---|
| AI analysts | YesAgents tuned on your business rules and metric definitions, with the SQL shown beside every answer | PartialTableau Agent gives insights inside Pulse and Ask Q&A; Pulse is Tableau Cloud only | PartialCopilot answers inside a semantic model somebody has already published | PartialConversational Analytics answers against a modelled Explore | PartialMetabot answers questions, writes SQL and explains charts; it sees only what the user can see | NoAnalyzes files uploaded per conversation, not an ongoing agent tuned to your business rules |
| Dashboards, AI made | YesA live dashboard from a single prompt | PartialThe AI helps an analyst build a workbook; it does not produce one from a prompt | PartialCopilot drafts report pages inside a published model | YesThe MCP server exposes tools for creating dashboards and Looks | NoMetabot helps build and explain questions rather than generating a dashboard | PartialSites can publish a persistent shareable dashboard, but it's prompt-built, not warehouse-connected |
| Data apps, AI made | YesLive data apps on your own design system, from a prompt | NoDashboards and workbooks, not applications | PartialPower Apps, built by a maker rather than generated from a prompt | PartialExtensions, built by a developer against the Looker API | No | PartialSites can build a shareable app from a prompt, but isn't wired to live company databases |
| Alerts | YesAn alert is a SQL check on your data; an Ask Analysts step after it explains the change | YesData-driven alerts on a continuous numeric axis, sent by email, in-site or to Slack | PartialOnly on dashboard tiles pinned from gauge, KPI and card visuals, and visible to nobody but the person who set it | YesOn query-based or Look-linked dashboard tiles, set up tile by tile | YesOn a saved question, delivered by email, Slack or webhook; webhooks are admin-only | PartialMonitoring tasks can watch for changes and notify, not threshold or anomaly alerts on metrics |
| Cross-source data query | YesOne question spanning every connected source | YesCross-database joins and blends, defined in the workbook | YesOnce sources are combined into one model in Power Query | NoOne connection per model; joins live inside LookML | NoA question can only use tables from the same database as its starting data | PartialCompany Knowledge cites across connected apps, but it's document search, not a live data join |
| Context and memory management | YesRulesets, knowledge, dropped files and apps such as Notion, read through MCP | PartialA published data source, plus whatever the workbook author knew | PartialThe semantic model, published from Desktop | YesLookML: strong governance, and a modelling project before the first question | PartialModel metadata and, on Pro, a system prompt for Metabot | PartialCompany Knowledge cites across connected apps company-wide, but memory itself is per-user |
| Connectors | 12 databases + any MCP serverDatabases and warehouses queried live when a question is asked; any tool with an MCP server read live, 22 of them ready to add | ~100Listed connectors. Tableau publishes no single total | HundredsListed in Power Query. Microsoft publishes no single total | 48SQL dialects. Databases and warehouses only | 18Databases with official drivers. Databases only, not SaaS apps | Not publishedApps directory lists many third-party apps, not a single vetted connector catalog with a total |
Each cell above is the verdict from the full comparison, where every competitor figure is read from the vendor’s own page and dated — compare Supaboard with any of 24 tools. For the work that follows the question, read on.
The analyst job, split across several tools
BI tools build the dashboards and sell the rest as add-ons. Chat tools answer the question and stop. Supaboard does the whole job from one agent.
1. Dashboards
A BI tool
Built once by a specialist. Reports and alerts are add-ons.
2. Questions
A chat tool, a ticket or a guess
It answers once and stops. The follow-up waits on someone.
3. With Supaboard
One agent, the whole job
The answer, the dashboard, the Monday report and the alert, from one chat.
What teams say about working with one agent
Most data analytics tools are either too complex for everyday users or too basic for meaningful insights. But Supaboard brilliantly bridges this gap.
Karthik (KP) Puvvada, HoC, Netlify Supaboard has fundamentally changed how we run our revenue cycle. What earlier took our team over four hours now takes under three minutes, and we’ve lowered our analytics cost by nearly 90%.
Sanjiv Garg, CEO, JindalX We have connected everything, from LinkedIn Ads, local DB, to Asana, Supaboard has been our one source of truth trusted by every team member, we don’t even need a analysis team.
Kyle C Grant-Talbot, CTO, The Primary
It shows its working
See the query and the business definitions behind every chart and number.
Start with one question on your own database
The answer, the dashboard, the Monday report and the alert come from the same agent. Viewers are free.
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