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Supaboard

Supaboard vs every major BI tool: a sourced comparison

Entry price, free trial, self-hosting and natural-language querying for 14 BI platforms, each figure read from the vendor's own page and dated — including where each one beats Supaboard.

How to read this table

  • Every competitor figure is read from that vendor’s own pricing or product page and links back to it with the date it was checked. Nothing here comes from a review site.
  • Where a vendor blocks automated access we say not verified and link you to their page rather than printing a number we cannot stand behind.
  • “Where it beats Supaboard” is not a formality. Several of these tools are the right answer for problems we are not the right answer for, and the column says which.

The full matrix

Supaboard compared with 14 business intelligence platforms on entry price, free trial, self-hosting and natural-language querying
ToolEntry priceFree trialSelf-hostingNatural-language queryingWhere it beats Supaboard
Supaboard$83 per user/month billed annually ($99 monthly); Business $208 billed annually14 days, no credit cardNot offered — Supaboard is a managed serviceNatural-language questions across all 700+ connected sources, answered by agents trained on your business rules—
TableauNot verified — check the vendor’s pageNot verified — check the vendor’s pageNot verified — check the vendor’s pageNot verified — check the vendor’s pageThe deepest visual-analytics grammar in the category, and an analyst community and certification ecosystem nothing here comes close to. If your team already thinks in Tableau, that fluency is worth real money.
Microsoft Power BIPower BI Pro $14.00 user/month paid yearly; Premium Per User $24.00 user/month paid yearly source, checked Free account, no credit card. Trial length not stated on the pricing page source, checked Power BI Report Server exists for on-premises reporting; the pricing page does not detail it source, checked Copilot in Fabric appears in the plan comparison; which plans include it is not stated source, checked $14 per user per month is the cheapest seat here by a wide margin, and it sits inside the Microsoft 365 and Fabric estate most enterprises have already bought. On price alone, Power BI wins.
MetabaseStarter $90/mo including 5 users, then $6 per user/month source, checked Free open-source edition with unlimited users; 14 days free on Starter and Pro source, checked Self-hosted deployment offered — "Manage your own infrastructure" source, checked "Ask questions with AI" and SQL generation on all tiers; $3.75 per 1M tokens if using Metabase's own AI service source, checked Free, open source and self-hostable. If cost of entry is the binding constraint, running Metabase yourself beats every commercial option on this page, including ours.
ThoughtSpotEssentials $25 per user/month billed annually (5–50 users); Pro $50 per user/month billed annually source, checked Embedded Developer edition free for 1 year, up to 10 users; trial length for the analytics tiers not stated source, checked Not stated on the pricing page source, checked Natural-language search plus "Spotter" conversational AI agents with unlimited LLM tokens source, checked A published $25 entry seat and a search-first product that predates the current AI wave. It is the most mature natural-language interface in the category and it shows.
Looker"Call sales" for Standard, Enterprise and Embed. No list price published; each platform includes 10 Standard and 2 Developer users source, checked Not stated on the pricing page source, checked Not stated on the pricing page source, checked Conversational Analytics in Looker, billed in data tokens — $3.00 per 1M input and $20.00 per 1M output tokens after 30 September 2026 source, checked LookML remains the strongest governed semantic layer in the market: metrics defined once, in version control, reviewed like code, and identical everywhere they are consumed.
QlikNo plan names or list prices shown on the pricing page source, checked "Try for Free" offered for Qlik Cloud Analytics; length not stated source, checked Qlik Sense (on-prem) offered as a separate product source, checked Qlik Answers — "GenAI-driven answers from unstructured content"; "Agentic Analytics" listed as a core capability source, checked The associative in-memory engine still handles free-form exploration across joined data in ways SQL-generation approaches struggle with, and the on-premises product is genuinely mature.
DomoNot verified — check the vendor’s pageNot verified — check the vendor’s pageNot verified — check the vendor’s pageNot verified — check the vendor’s pageDomo prices consumption rather than seats, so giving the whole company access is not a licence negotiation. For wide, shallow distribution that model beats per-user pricing outright.
SisenseQuote only — Enterprise is "Contact us"; no price stated for Self-Serve source, checked Self-Serve offers "Try free"; length not stated source, checked "Deploy on SaaS, your own cloud (AWS, Azure, GCP), or on-prem" on Enterprise source, checked "Built-in AI for natural-language queries, auto-narratives, and an assistant your customers can use"; Enterprise adds bring-your-own-LLM source, checked The strongest OEM story here — Compose SDK plus an on-prem option. If you are a software vendor embedding analytics in your own product under your own infrastructure, Sisense is built for that and we are not.
Apache SupersetFree — released under the Apache License; the project sells nothing source, checked Not applicable; the software is free to self-host source, checked Self-hosting is the only deployment the project offers source, checked Not stated source, checked Apache-2.0. No vendor, no licence, no renewal. If avoiding lock-in is the requirement rather than a preference, Superset is the answer and no commercial tool on this page competes.
BasedashStartup $1,000/month plus AI usage, up to 25 users; Enterprise custom source, checked "14-day free trial with no credit card required and full feature access" source, checked "Self-hosting is available for teams that require tighter network control" source, checked AI data analyst, AI-generated daily data briefings, AI-powered data workflows; custom AI models on Enterprise source, checked Basedash writes back to your database. It is an admin panel as much as a BI tool, and if your team needs to edit records as well as read them, that is a capability Supaboard does not have.
Amazon QuickSightAuthor $24 per user/month (Standard) or $40 (Pro); Reader $3 (Standard) or $20 (Pro) source, checked Free trial offered; length not stated on the pricing page source, checked Not stated on the pricing page source, checked Q&A included at no extra per-user cost, but a $250/month per-account infrastructure fee applies once any Pro user or Q&A topic is enabled source, checked $3 per reader per month is the cheapest way to put a dashboard in front of a large audience, and it bills through an AWS account you already have and already trust.
AlteryxStarter $250 USD per user/month billed annually; Professional and Enterprise "Contact Sales" source, checked Free trial offered; length not stated source, checked Starter is a "cloud only entry point"; Professional and Enterprise support cloud and hybrid deployments source, checked "Ask Alteryx" and AI-powered assistance source, checked Alteryx is data preparation and advanced analytics, not dashboards. If the hard part of your problem is the pipeline rather than the chart, it does substantially more than Supaboard does.
Oracle AnalyticsNot verified — check the vendor’s pageNot verified — check the vendor’s pageNot verified — check the vendor’s pageNot verified — check the vendor’s pageIf your system of record is Oracle Fusion or E-Business Suite, Oracle Analytics ships prebuilt models against it that nobody else has. That head start is hard to argue with.
SAS ViyaNo list price published source, checked "A 14-day free trial is available." source, checked "Run on AWS, Azure, GCP or on-premises" source, checked SAS Viya Copilot; a SAS Viya MCP Server exposes Viya capabilities as tools for AI agents source, checked Decades of validated statistical and machine-learning procedures. Where a model has to be defensible to a regulator or an auditor, that lineage matters more than how fast you got the answer.

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