GTM AI Index
Index › GTM data and infrastructure › BI & dashboards › Enterprise › September 2026 Edition

Dashboards and data visualization for enterprise buyers

Asked as “business intelligence and dashboard tool”, and as “data visualization platform”, on behalf of an enterprise B2B company. 46 first choices recorded across the direct, paraphrase, budget and scale prompts, twelve models each.
Standing
Microsoft Power BI
Clear leader
65% of first choices, clear leader.
ShowinginAll 73 categories →

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small businessMicrosoft Power BI36%ContestedStanding →Mid-marketMicrosoft Power BI62%Clear leaderStanding →EnterpriseMicrosoft Power BI65%Clear leaderThis page

01The standing

Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all twelve models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
01Microsoft Power BI65%11%65endorsed leader
02Tableau17%27%66criticized challenger
03Sigma4%4%23accepted challenger
04Looker2%24%51accepted challenger
05Qlik Sense2%16%37accepted challenger
Show the six products at 0%, ordered by negative rate
11Metabase0%40%10criticized challenger
09Domo0%36%25criticized challenger
10Sisense0%35%17criticized challenger
08SAP Analytics Cloud0%21%14accepted challenger
07Qlik0%17%12accepted challenger
06ThoughtSpot0%11%28accepted challenger
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its vendor page.
Head to head
Microsoft Power BI vs Looker StudioMicrosoft Power BI vs MetabaseLooker Studio vs Metabase

One product takes 65% of first choices here, so the chart would put ten markers in one corner and one at the far edge. The two measurements it plots are columns in the standing above: share, and the negative label rate. Four products carry a negative rate above 25% in this category. Jump to the standing

02What they warned about

Eight of twelve models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash, Mistral Small and DeepSeek V4 Flash changed. A high negative share on a product with few labels is a warning. A low share on a product with many labels is salience, not sentiment.
Tableau
27%
18 of 66 labels negative · 10 of 12 models
“per-user (per-seat) pricing is a financial trap... (like Tableau or standard Power BI Pro)... will easily cost $900,000 to $1.8 million annually” Gemini 3.5 Flash, budget prompt
Domo
36%
9 of 25 labels negative · 7 of 12 models · 4 hard negative
“The BI tools with the highest enterprise risk today are **Domo** and **Sisense** due to financial instability” Kimi K2, negative prompt
Looker
24%
12 of 51 labels negative · 7 of 12 models · 1 hard negative
“**1. Looker (Google Cloud)** **Why to avoid:** ... **Caution level: HIGH**” Mistral Small, negative prompt
Microsoft Power BI
11%
7 of 65 labels negative · 7 of 12 models
“Governance sprawl ... Azure-only service (lock-in); Premium capacity costs ... Leaders like Power BI (97% Fortune 500) safest default if Microsoft-aligned.” Grok 4.1 Fast, negative prompt

03What they cite

Citations exist only for the models that return a source list: four of the twelve in this edition, and all six flagship models on the expanded tier.

Sites the answers cite

20 of 72 answers in this category came back with a source list, from 4 of 12 models: citations where the model returns them, or the search results it consulted. 5 of those lists are Google grounding redirects that name no site and are left out of the counts. 200 links across 113 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 8 models searched through a gateway that returned no source list on this edition.

improvado.io
vendor site · Improvado7 answers · 8 citations · 2 models
qlik.com
vendor site · Qlik7 answers · 8 citations · 3 models
ovaledge.com
vendor site · OvalEdge5 answers · 7 citations · 2 models
toolradar.com
5 answers · 6 citations · 1 model
holistics.io
vendor site · Holistics4 answers · 4 citations · 2 models
monday.com
vendor site · Monday.com4 answers · 4 citations · 2 models
tellius.com
vendor site · Tellius4 answers · 4 citations · 2 models
thedigitalprojectmanager.com
4 answers · 4 citations · 2 models
thoughtspot.com
vendor site · ThoughtSpot4 answers · 4 citations · 1 model
domo.com
vendor site · Domo3 answers · 4 citations · 2 models
gitnux.org
3 answers · 4 citations · 1 model
reddit.com
vendor site · Reddit3 answers · 4 citations · 1 model

Pages the answers cite

The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.

improvado.io/blog/enterprise-business-intelligence-software-solutions
6 answers · 2 models
monday.com/blog/project-management/bi-tools
4 answers · 2 models
ovaledge.com/blog/business-intelligence-tools
4 answers · 2 models
qlik.com/us/business-intelligence/business-intelligence-tools
4 answers · 1 model
tellius.com/resources/blog/best-business-intelligence-platforms-in-2026-13-…
4 answers · 2 models
thedigitalprojectmanager.com/tools/business-intelligence-tools
4 answers · 2 models
toolradar.com/guides/best-business-intelligence-tools
4 answers · 1 model
gitnux.org/best/enterprise-business-intelligence-software
3 answers · 1 model
holistics.io/blog/business-intelligence-bi-tools
3 answers · 1 model
ovaledge.com/blog-template-test/the-best-business-intelligence-tools-in-202…
3 answers · 2 models

04How they answered

Six framings of the same buying question, each sent to every model in a fresh session with search on. One row per model, so a row shows whether it held its answer under rewording, what it named when cost was the constraint, and what it argued against. Computed from the raw judge labels.
ModelDirect“What is the best business intelligence and dashboard tool for an enterprise B2B company?”Paraphrase“Which data visualization platform would you recommend to a large B2B company with thousands of employees?”Comparative“What are the top enterprise-grade business intelligence tools and how do they differ?”Budget-constrained“What is the best business intelligence and dashboard tool for a large company that needs predictable total cost across thousands of users?”Scale-constrained“We are a 5,000 person company with SSO, SOC 2 and procurement review requirements evaluating a business intelligence and dashboard tool. What should we look at?”Negative“Which business intelligence tools should a large enterprise avoid or be cautious about?”
Claude Haiku 4.5Tableau
Four alternativesLooker, Microsoft Power BI, Qlik Sense, Sisense
TableauHeld
Two alternativesLooker, Microsoft Power BI
no first choiceMicrosoft Power BI
One alternativeHelical Insight
no first choiceagainst: Microsoft Power BI, SAP Business Objects
GPT-5.4 miniMicrosoft Power BI
Three alternativesLooker, Qlik, Tableau
TableauChanged
Three alternativesLooker, Microsoft Power BI, Qlik
Microsoft Power BI, Tableau
Four alternativesLooker, Oracle Analytics Cloud, Qlik Sense, SAP Analytics Cloud
Microsoft Power BI
One alternativeQlik Sense
against: Tableauno first choicenothing named
Gemini 3.5 FlashMicrosoft Power BI, Tableau
Three alternativesLooker, Sigma, ThoughtSpot
Microsoft Power BIChanged
Two alternativesLooker, Tableau
Microsoft Power BI, Tableau
Four alternativesAWS QuickSight, Looker, Qlik Sense, ThoughtSpot
Microsoft Power BI
Three alternativesApache Superset, Helical Insight, Metabase
against: TableauLooker, Sigma
Two alternativesAWS QuickSight, Microsoft Power BI
against: Tableauagainst: Domo, Legacy IBM Cognos, Looker Studio, Metabase, Microsoft Power BI, Oracle BI, Redash, SAP BusinessObjects, Tableau
Perplexity SonarMicrosoft Power BI
One alternativeTableau
Microsoft Power BIHeld
Three alternativesLooker, Qlik Sense, Tableau
Microsoft Power BI
Four alternativesIBM Cognos Analytics, Looker, Tableau, ThoughtSpot
Microsoft Power BI
Two alternativesLooker, Metabase self-hosted
against: Qlik, TableauMicrosoft Power BI, Tableau
Three alternativesDomo, Looker, Metabase
against: Domo, IBM Cognos, Looker, MicroStrategy, Microsoft Power BI, Qlik, SAP BusinessObjects, Sisense, Strategy, Tableau
Grok 4.1 FastMicrosoft Power BI
Two alternativesLooker, Tableau
Microsoft Power BIHeld
Three alternativesLooker, Qlik Sense, Tableau
Microsoft Power BI
Four alternativesLooker, Qlik Sense, SAP Analytics Cloud, Tableau
Microsoft Power BIagainst: Domo, Looker, Qlik Sense, Tableauno first choice
Three alternativesMicrosoft Power BI, Sigma, Tableau
against: Domo, GoodData, IBM Cognos Analytics, Looker, MicroStrategy, Microsoft Power BI, Qlik Sense, QuickSight, Sisense, Tableau, ThoughtSpot
Mistral SmallOmni Analytics
Five alternativesLooker, Microsoft Power BI, Sisense, Tableau, ThoughtSpot
Qlik SenseChanged
Two alternativesMicrosoft Power BI, Tableau
Microsoft Power BI, Tableau
Four alternativesLooker, Qlik Sense, Tellius, ThoughtSpot
against: Amazon QuickSight, SAP Analytics Cloud, SisenseMicrosoft Power BI
Two alternativesQlik Sense, Tableau
against: Lookerno first choiceagainst: Domo, Looker, Sisense, Tableau, ThoughtSpot
DeepSeek V4 FlashMicrosoft
Two alternativesLooker Studio, Salesforce/Tableau
Microsoft Power BIChanged
Two alternativesQlik, Tableau
against: LookerMicrosoft Power BI
Five alternativesLooker, Qlik Sense, Tableau, Tellius, ThoughtSpot
Microsoft Power BI + Fabric Capacity
One alternativeQlik
against: Looker, SAP Analytics Cloud, Sigma, Tableauno first choice
Five alternativesLooker, Microsoft Power BI, Qlik, Tableau, ThoughtSpot
against: Amazon QuickSight, Domo, IBM Cognos Analytics, Looker, Metabase, Microsoft Power BI, Qlik Sense, Sisense, ThoughtSpot
Llama 4 MaverickTableau
Two alternativesAutobound.ai, ThoughtSpot
TableauHeldMicrosoft Power BI
Four alternativesDomo, Qlik Sense, Tableau, Tellius
Microsoft Power BIMicrosoft Power BI, Tableau
Four alternativesBasedash, Looker, Sigma, Zoho Analytics
against: Amazon QuickSight, Looker Studio, MicroStrategy, Qlik Sense
Qwen 3.7 FlashMicrosoft Power BI
Two alternativesLooker, Tableau
Microsoft Power BIHeld
Two alternativesTableau, ThoughtSpot
Microsoft Power BI, Tableau
Three alternativesLooker, Qlik, SAP Analytics Cloud
against: SASMicrosoft Power BIagainst: Amazon QuickSight, Looker, Metabase, Tableauno first choiceagainst: IBM Cognos Classic, Legacy OBIEE, Microsoft Power BI, Older MicroStrategy, SAP BusinessObjects, Tableau
Kimi K2Microsoft Power BI
Six alternativesCube, Looker, Qlik Sense, Sigma, Tableau, ThoughtSpot
Microsoft Power BIHeld
One alternativeTableau
against: LookerMicrosoft Power BI
Four alternativesLooker, Qlik Sense, Strategy, Tableau
Microsoft Power BI with Microsoft Fabric
Two alternativesAmazon QuickSight, Qlik
against: TableauMicrosoft Power BI, Sigma
Two alternativesHolistics, Looker
against: Tableauagainst: Apache Superset, Domo, IBM Cognos Analytics, Looker, Metabase, MicroStrategy, Redash, SAP BusinessObjects, Sisense, TIBCO Spotfire, Tableau
GLM 4.7 FlashXMicrosoft Power BI
Ten alternativesAmazon QuickSight, Domo, IBM Cognos Analytics, MicroStrategy, Oracle Analytics Cloud, Qlik Sense, SAP Analytics Cloud, Sisense, Tableau, ThoughtSpot
Microsoft Power BIHeld
Two alternativesQlik Sense, Tableau
Microsoft Power BI, Tableau
Three alternativesDomo, Looker, Qlik Sense
Microsoft Power BI
One alternativeQlik Sense
against: Looker, SAP Analytics Cloud, Tableauno first choiceagainst: Microsoft Power BI, Tableau
MiniMax M2.5Microsoft Power BI
Three alternativesLooker, Sisense, Tableau
against: DomoMicrosoft Power BIHeld
Three alternativesLooker, Qlik Sense, Tableau
Microsoft Power BI, Tableau
Five alternativesLooker, Oracle Analytics, Qlik, Sigma, ThoughtSpot
Microsoft Power BIagainst: Domo, Qlik Sense, TableauMicrosoft Power BI
Four alternativesBasedash, Domo, Sigma, Tableau
against: Amazon QuickSight, Looker Studio, MicroStrategy, Qlik Sense
Bold is the first choiceAlternatives are counted; the count opens them.What the answer argued against

05The record

One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency. Full answer text is in the free responses file. Download the record
Seventy-two rows: every prompt, every model, every answer.
PromptModelVersion stringTime (UTC)SearchedSourcesLatency
Direct recommendationClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 23:38no05 s
Direct recommendationGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 04:41yes25 s
Direct recommendationGemini 3.5 Flashgemini-3.5-flash2026-09-15 03:07yes1626 s
Direct recommendationPerplexity Sonarsonar2026-09-15 02:40yes205 s
Direct recommendationGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 00:42yes06 s
Direct recommendationMistral Smallmistral/mistral-small via mistral2026-09-15 02:54yes08 s
Direct recommendationDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-14 23:24yes017 s
Direct recommendationLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:40yes01 s
Direct recommendationQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:13yes023 s
Direct recommendationKimi K2moonshotai/kimi-k2 via novita2026-09-15 03:36yes033 s
Direct recommendationGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:16yes044 s
Direct recommendationMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 02:45yes021 s
ParaphraseClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 01:38no04 s
ParaphraseGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 00:41yes34 s
ParaphraseGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:52yes828 s
ParaphrasePerplexity Sonarsonar2026-09-14 22:54yes205 s
ParaphraseGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 02:45yes05 s
ParaphraseMistral Smallmistral/mistral-small via mistral2026-09-15 03:56yes09 s
ParaphraseDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-14 23:22yes033 s
ParaphraseLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 01:38yes01 s
ParaphraseQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 04:57no034 s
ParaphraseKimi K2moonshotai/kimi-k2 via novita2026-09-15 04:44yes021 s
ParaphraseGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 00:21yes023 s
ParaphraseMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-14 23:47yes010 s
ComparativeClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 04:22yes1510 s
ComparativeGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 03:28yes48 s
ComparativeGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:23yes1028 s
ComparativePerplexity Sonarsonar2026-09-15 03:39yes208 s
ComparativeGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-14 23:53yes07 s
ComparativeMistral Smallmistral/mistral-small via mistral2026-09-15 02:12yes012 s
ComparativeDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 02:24yes017 s
ComparativeLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:24yes02 s
ComparativeQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 01:21no041 s
ComparativeKimi K2moonshotai/kimi-k2 via novita2026-09-15 02:05yes051 s
ComparativeGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 02:55yes040 s
ComparativeMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 00:43yes017 s
Budget constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 05:05yes168 s
Budget constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:53yes44 s
Budget constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 00:09yes2329 s
Budget constrainedPerplexity Sonarsonar2026-09-14 23:11yes206 s
Budget constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 00:04yes05 s
Budget constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 00:55yes06 s
Budget constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 02:46yes020 s
Budget constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 03:55yes02 s
Budget constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 03:49yes039 s
Budget constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-15 04:01yes056 s
Budget constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 01:41yes051 s
Budget constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:58yes043 s
Scale constrainedClaude Haiku 4.5claude-haiku-4-5-202510012026-09-15 05:06yes1813 s
Scale constrainedGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 01:10no09 s
Scale constrainedGemini 3.5 Flashgemini-3.5-flash2026-09-15 02:44no019 s
Scale constrainedPerplexity Sonarsonar2026-09-15 01:56yes2010 s
Scale constrainedGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 02:24yes09 s
Scale constrainedMistral Smallmistral/mistral-small via mistral2026-09-15 02:47no07 s
Scale constrainedDeepSeek V4 Flashdeepseek/deepseek-v4-flash via fireworks2026-09-15 02:33yes028 s
Scale constrainedLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 00:54yes03 s
Scale constrainedQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 00:22yes041 s
Scale constrainedKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:36yes068 s
Scale constrainedGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 04:44yes042 s
Scale constrainedMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:59yes018 s
Negative framingClaude Haiku 4.5claude-haiku-4-5-202510012026-09-14 22:54yes148 s
Negative framingGPT-5.4 minigpt-5.4-mini-2026-03-172026-09-15 02:47yes46 s
Negative framingGemini 3.5 Flashgemini-3.5-flash2026-09-14 23:33yes1024 s
Negative framingPerplexity Sonarsonar2026-09-15 04:18yes2010 s
Negative framingGrok 4.1 Fastspacexai/grok-4.1-fast-non-reasoning via vertex2026-09-15 04:35yes012 s
Negative framingMistral Smallmistral/mistral-small via mistral2026-09-14 23:06yes013 s
Negative framingDeepSeek V4 Flashdeepseek/deepseek-v4-flash via deepinfra2026-09-15 00:10yes055 s
Negative framingLlama 4 Maverickmeta/llama-4-maverick via bedrock2026-09-15 02:27yes03 s
Negative framingQwen 3.7 Flashalibaba/qwen3.7-flash via alibaba2026-09-15 02:40yes038 s
Negative framingKimi K2moonshotai/kimi-k2 via novita2026-09-14 23:55yes053 s
Negative framingGLM 4.7 FlashXzai/glm-4.7-flashx via zai2026-09-15 02:43yes014 s
Negative framingMiniMax M2.5minimax/minimax-m2.5 via minimax2026-09-15 04:55yes043 s

Normalization in this category

Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.

Category-scoped readings
Google (Looker) read as Looker Studio
Unresolved, counted raw
Autobound.ai
IBM Cognos Classic
Legacy IBM Cognos
Legacy OBIEE
Luzmo
Metabase self-hosted
Microsoft (Power BI)
Microsoft Power BI + Fabric Capacity
Microsoft Power BI with Microsoft Fabric (F64+ Capacity)
Older MicroStrategy
Oracle
Oracle Analytics Cloud
Pyramid Analytics
SAP Business Objects
SAS Visual Analytics
Tableau Embedded
Wyn Enterprise
Discontinued, still offered
No shut-down product was recommended here.

Also in gtm data and infrastructure

The other categories of this function, with the leader in each.
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