Chat assistants, AI-powered BI and legacy BI each solve part of this. Here's which part, where we're different — and when you should buy something else.
The map
Everyone is moving up. Almost no one is moving right.
Agents now build dashboards in plenty of products. Most still need a modeled warehouse first. Tap any bubble for the details.
←↑→↓ to move · Enter to pin
Agentic, warehouse-boundStrong agents — after you model the warehouse.
Agentic, whole company · where we play
Classic BIAnalysts build every chart on a modeled warehouse.
KPI dashboardsSaaS reach, but humans assemble every tile.
Agent builds it ↑↓ A human builds it← Warehouse-onlyWhole company →
Agentic · whole company
Nodboard us
Agents connect every tool over MCP, build the company command center from a template, keep it fresh daily, and ship changes only after an approver says yes.
Data reach89
Agent builds83
Who builds it
Agents, from a template. People change it by asking.
Data reach
Every tool with an MCP server. A warehouse is optional.
The top-right is getting crowded. What's different here is the template, the approver and the agents that keep it true every day. See the side-by-side →
Human-built · warehouse
Legacy BI
Deep, flexible visual analysis by trained analysts on a modeled warehouse. Mature, everywhere, well understood. AI arrives as add-ons.
Data reach20
Agent builds22
Who builds it
Analysts, chart by chart. AI add-ons are often capacity- or quota-gated.
Data reach
Warehouse and many database connectors, modeled first.222421
Examples — tap one
Human-built · whole company
KPI dashboard tools
Connect SaaS tools directly and assemble KPI tiles by hand. Affordable, fast to start, shallow by design.
Data reach71
Agent builds21
Who builds it
You, widget by widget. AI shows up as summaries, not builders.
You, widget by widget. AI shows up as summaries, not builders.
Also in KPI dashboard tools
Klipfolio
Klips from about $120–$600/mo with unlimited users.29
Includes third-party or unverified figures
Data reach80
Agent builds16
Category: KPI dashboard tools
You, widget by widget. AI shows up as summaries, not builders.
Also in KPI dashboard tools
Domo
All-in-one cloud BI with 1,000+ connectors. AI credit metering from Aug 1, 2026.26
Includes third-party or unverified figures
Data reach60
Agent builds36
Category: KPI dashboard tools
You, widget by widget. AI shows up as summaries, not builders.
Also in KPI dashboard tools
ThoughtSpot
SpotterViz builds and restyles Liveboards by conversation; analysts approve changes. Needs a cloud data warehouse.12
Data reach17
Agent builds83
Category: AI-powered BI
Agents draft; analysts review and publish.
Also in AI-powered BI
Omni
Blobby builds a dashboard as a draft — nothing publishes without the author's approval. Built on a semantic model.34
Data reach27
Agent builds77
Category: AI-powered BI
Agents draft; analysts review and publish.
Also in AI-powered BI
Hex
Threads lets business users ask questions over modeled data. Apps are built by the data team.56
Data reach12
Agent builds60
Category: AI-powered BI
Agents draft; analysts review and publish.
Also in AI-powered BI
Sigma
Spreadsheet-style BI on the warehouse, raising $80M to pivot toward agentic analytics.7
Data reach24
Agent builds55
Category: AI-powered BI
Agents draft; analysts review and publish.
Also in AI-powered BI
Databricks
Dashboard authoring agent (Beta). Genie is free to users through Jan 31, 2027 — inside a Databricks lakehouse.89
Data reach37
Agent builds71
Category: AI-powered BI
Agents draft; analysts review and publish.
Also in AI-powered BI
Snowflake
Snowflake Intelligence: agentic chat over Snowflake data, with charts in the conversation.10
Data reach34
Agent builds53
Category: AI-powered BI
Agents draft; analysts review and publish.
Also in AI-powered BI
ChatGPT
@Data builds shareable dashboards in chat (announced Sep 10, 2026, Alpha). Warehouses and files today, not native SaaS apps.1617
Data reach50
Agent builds90
Category: Chat assistants
You, one prompt at a time.
Also in Chat assistants
Claude
Published artifacts call MCP connectors each time someone views them — under that viewer's own connections.18
Data reach67
Agent builds88
Category: Chat assistants
You, one prompt at a time.
Also in Chat assistants
Slack
Slackbot builds live Surfaces from Salesforce, Slack and other data, under users' existing permissions.19
Data reach59
Agent builds76
Category: Chat assistants
You, one prompt at a time.
Also in Chat assistants
Basedash
Dashboard Agent builds whole dashboards end to end (Apr 2026). 750+ sources, $1,000/mo flat for up to 25 users.1112
Data reach78
Agent builds72
Category: AI dashboard builders
You and an agent, on a blank canvas.
Also in AI dashboard builders
Definite
ETL, lakehouse, BI and an AI analyst in one. Platform from $250/mo; premium connectors extra.13
Data reach91
Agent builds62
Category: AI dashboard builders
You and an agent, on a blank canvas.
Also in AI dashboard builders
Arito AI
Agentic analytics for finance and revenue teams, with RBAC down to spreadsheet cells. Full dashboard depth unverified.14
Includes third-party or unverified figures
Data reach70
Agent builds64
Category: AI dashboard builders
You and an agent, on a blank canvas.
Also in AI dashboard builders
WisdomAI
AI data analyst with an MCP client that reasons across live systems (Mar 2026). Positioned as an analyst more than a dashboard.15
Data reach74
Agent builds55
Category: AI dashboard builders
You and an agent, on a blank canvas.
Also in AI dashboard builders
Placement is our judgment from public docs (numbered sources below), not a measurement. Scores are relative positions on the map, nothing more. Several vendors straddle quadrants, and all of them ship fast.
The categories
Everyone solves part of it. Here's which part.
Flip a card for the honest take — including ours.
Human-built · warehouse
Legacy BI
Deep, flexible visual analysis by trained analysts on a modeled warehouse. Mature, everywhere, well understood. AI arrives as add-ons.
Builds
Analysts, chart by chart. AI add-ons are often capacity- or quota-gated.
Reach
Warehouse and many database connectors, modeled first.222421
Tableau
Power BI
Looker
Qlik
Legacy BI
Where it shines
Maximum control over every chart, a huge talent pool, and decades of enterprise hardening.
Where it stops
A human builds every chart. Creator seats, a data team and modeling come first, and dashboards rot when the builder moves on.
Choose it if
You have a BI team and want precise control over every pixel.
Human-built · whole company
KPI dashboard tools
Connect SaaS tools directly and assemble KPI tiles by hand. Affordable, fast to start, shallow by design.
Builds
You, widget by widget. AI shows up as summaries, not builders.
Answers in seconds, already bundled into seats many companies pay for, and great for personal views.
Where it stops
Each person's answer on each person's connections. No single company command center, no approval flow on changes, no daily upkeep by agents.
Choose it if
You need answers, not an operating dashboard the whole company runs on.
Agentic · whole company
AI dashboard builders
Connect many SaaS sources and generate dashboards with an agent. Fast, affordable — and the closest thing to what we do.
Builds
You and an agent, on a blank canvas.
Reach
Hundreds of SaaS sources, often via a managed warehouse.111213
Basedash
Definite
Arito AI
WisdomAI
AI dashboard builders
Where it shines
Quick setup, flat-ish pricing and an agent that can build a whole dashboard end to end.
Where it stops
A blank canvas or a chat box: you still decide what matters. No opinionated, CFO-grade template, and approvals are light.
Choose it if
You know exactly which charts you want and just need them built faster.
Agentic · whole company
Nodboard us
Agents connect every tool over MCP, build the company command center from a template, keep it fresh daily, and ship changes only after an approver says yes.
Builds
Agents, from a template. People change it by asking.
Reach
Every tool with an MCP server. A warehouse is optional.
Nodboard
Where it shines
A whole-company operating view in a day, without a data team. Anyone can ask for a change; approvers ship it; visibility is enforced per tab, row and field.
Where we stop
We're early and onboarding design partners. Not a notebook for analysts, not a pixel-perfect report designer, not a planning tool.
Choose it if
You want one governed command center the whole company reads, and nobody whose full-time job is to build it.
Time to first command center
Nine weeks. Or one day.
Press play. One clock, two paths to the first dashboard the whole company can use.
Elapsed0h 00mDay 1 · Monday, 9:00
The old way typical · illustrative
Hire · model · SQL · build · review
Waiting to start≈ 9 wk
Shipped
Find or hire an analyst2 wk
Model the warehouse3 wk
Write SQL, define metrics1.5 wk
Build the dashboards1.5 wk
Review, fix, re-review1 wk
Nodboard our build target
Connect · understand · build · review
Waiting to start≈ 4.8 h
Live
Connect your tools20 min
Agents read the business2 h
Agents build it1.5 h
You review, tab by tab1 h
Old-path durations are typical and illustrative, not a benchmark — your mileage depends on hiring, data quality and scope. Nodboard timings are our build target for a 50–500-person company: connecting takes minutes, agents need a few hours, and you review before anyone else is invited. Each track is drawn to its own scale; the clock is shared and speeds up as it runs.
Honest fit
What do you have today?
Five questions. We'll tell you what we'd buy in your shoes — even when it isn't us.
0 of 5 answered
Pick an answer on the left. The recommendation updates as you go.
Best fit
ThoughtSpotOmniHex
BasedashDefinite
ChatGPTClaudeSlack
TableauPower BILooker
DataboxGeckoboardKlipfolio
Not us — and that's fine. We'd rather lose a deal than sell you the wrong tool. If your setup changes, we'll be here.
Nodboard–
AI-powered BI–
AI dashboard builders–
Chat assistants–
Legacy BI–
KPI dashboard tools–
A rule of thumb, not a sales funnel. Weights are ours and visible in this page's source.
Side by side
The short version. With receipts.
Open any row for the evidence and its source. Filter to what you care about.
Nodboard compared with four categories of tools. Each row can be expanded for evidence and sources.
Capability
Nodboard
Legacy BI
AI-powered BI
Chat assistants
AI dashboard builders
setup
✓Agents, from a template
✕Analysts, by hand
◐Agents draft, analysts publish
◐You, one prompt at a time
◐You + an agent
Evidence
SpotterViz and Omni's Blobby build dashboards from a prompt with analyst review; Basedash's Dashboard Agent builds end to end; ChatGPT's @Data builds from a chat.131117
reach
✓Every tool, via MCP
✕Warehouse, modeled first
✕Warehouse + semantic layer
◐Each user's own connections
✓Hundreds of SaaS sources
Evidence
OpenAI's Data agent lists warehouses and files, not native SaaS apps; Claude artifacts call MCP connectors per viewer; Basedash lists 750+ sources and Definite 500+.17181213
setup
✓No
✕Yes
✕Yes
✓No
✓Usually not*
Evidence
ThoughtSpot requires a cloud data warehouse, billed separately; Omni builds on a semantic model someone maintains; Hex Threads works over modeled data.235
setup
✓Yes, finance-correct
✕No
✕No
✕No
✕No*
Evidence
Every product we reviewed starts from a prompt, a blank canvas or a semantic model. None documents a ready company command-center template. That's our reading of their public docs.113117
governance
✓Yes, anyone can ask
◐AI add-ons, often gated
✓Yes (ThoughtSpot, Omni)
◐Yes, for you
◐Q&A; edit-by-chat unclear*
Evidence
SpotterViz restyles and re-filters Liveboards by instruction; Omni iterates in draft by chat; Basedash's docs don't describe editing an existing dashboard by chat; Power BI Copilot needs Fabric capacity.131122
governance
✓Requester → approver, by domain
◐Publisher roles, not requests*
◐Author or analyst approves
✕Not described
◐Only AI write queries
Evidence
Omni: nothing publishes without the author's approval; SpotterViz: analysts approve changes; Basedash approval covers AI-run write queries; no approval flow is described for ChatGPT @Data or Slack Surfaces.31121719
governance
✓Tab, row and field — server-side
◐Row-level in the model*
◐Row + column in the semantic layer
◐Inherits each viewer's access
◐Row-level (Basedash)
Evidence
Omni enforces access filters and grants in its semantic layer; OpenAI's Data agent preserves table, row and column permissions; Claude artifacts run under each viewer's connections. Legacy BI row-level security isn't covered by our sources.3171812
setup
✓Daily agent runs
✕Scheduled refresh you maintain*
◐SpotterViz adapts to change
◐Refreshes when viewed
✕Not described*
Evidence
SpotterViz adapts dashboards as data and definitions change; Claude artifacts pull live data each time someone opens them.118
pricing
✓Builder ($8–$40) and internal-user ($4–$12) seats; free plan; no minimum
◐Per seat ($14–$75+); setup and services extra
◐Per seat or usage
◐Bundled in your seat*
◐Flat ($250–$1,000/mo)
Evidence
Power BI Pro is $14/user/mo and Tableau Creator $75 (third party); ThoughtSpot is $25–$50/user/mo or credits; Hex $36–$75/editor; Basedash $1,000/mo flat; Definite from $250/mo.2221261213
pricing
✓Pooled AI credits per plan, plus metered agent hours; packs on request
✕Token quotas (Looker)
✕25 Spotter queries/user/mo (Pro)
–Not published
◐AI usage billed on top
Evidence
Looker enforces conversational-analytics token quotas from Oct 1, 2026; ThoughtSpot Pro includes 25 Spotter queries per user per month; Basedash bills AI usage above the allowance.24212
✓ Yes◐ Partly✕ No* our reading or third-party, unverifiedSwipe the table →
Based on public product pages and documentation as of October 2026. Products move fast — tell us if something here is out of date and we'll fix it.
Sources (29)
Public vendor pages and third-party coverage, read October 2026. Items marked "third party" are not vendor-published. Positions on the map and the "our reading" cells are our judgment.
Free for up to five people. Connect a few tools and the agents build the first version in an afternoon. Or watch a morning in the command center first, about ninety seconds.