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. 57 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
61%
Clear leader
61Microsoft Power BI18Tableau04Looker18others
61% of first choices, clear leader.
Since October 2026▲+3Since October 2026: 58% → 61%, +3 points. Inside the 11-point floor: within noise.Microsoft Power BI held the lead, +3 points on 58%, inside the 11-point floor.
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 business
Microsoft Power BI46%Clear leader▲+9Since October 2026: 37% → 46%, +9 points. Inside the 11-point floor: within noise.Standing →Mid-marketMicrosoft Power BI65%Clear leader▲+13Since October 2026: 52% → 65%, +13 points. Past the 11-point floor: movement.Standing →EnterpriseMicrosoft Power BI61%Clear leader▲+3Since October 2026: 58% → 61%, +3 points. Inside the 11-point floor: within noise.This page
Microsoft Power BI46%Clear leader▲+9Since October 2026: 37% → 46%, +9 points. Inside the 11-point floor: within noise.Standing →Mid-marketMicrosoft Power BI65%Clear leader▲+13Since October 2026: 52% → 65%, +13 points. Past the 11-point floor: movement.Standing →EnterpriseMicrosoft Power BI61%Clear leader▲+3Since October 2026: 58% → 61%, +3 points. Inside the 11-point floor: within noise.This pageThe standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for an enterprise B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince October 2026
01Microsoft Power BI61%10%73endorsed leader▲+3Since October 2026: 58% → 61%, +3 points. Inside the 11-point floor: within noise.58% → 61%
Microsoft Power BI61%10%73endorsed leader▲+3Since October 2026: 58% → 61%, +3 points. Inside the 11-point floor: within noise.58% → 61%02
Tableau18%23%74accepted challenger▼−8Since October 2026: 26% → 18%, −8 points. Inside the 11-point floor: within noise.26% → 18%
Tableau18%23%74accepted challenger▼−8Since October 2026: 26% → 18%, −8 points. Inside the 11-point floor: within noise.26% → 18%03
Looker Lab in the set4%24%63accepted challenger▼−1Since October 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise.5% → 4%
Looker Lab in the set4%24%63accepted challenger▼−1Since October 2026: 5% → 4%, −1 point. Inside the 11-point floor: within noise.5% → 4%04
Qlik Sense2%12%40accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Qlik Sense2%12%40accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%05
Qlik Cloud Analytics2%0%13accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
Qlik Cloud Analytics2%0%13accepted challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%Show the eight products at 0%, ordered by negative rate
13
Metabase0%40%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Metabase0%40%15criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%11
Domo0%32%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Domo0%32%25criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%12
Sisense0%31%13criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Sisense0%31%13criticized challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%10
Sigma0%18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Sigma0%18%11accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%07
Amazon QuickSight0%17%18accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%
Amazon QuickSight0%17%18accepted challenger▼−2Since October 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise.2% → 0%09
SAP Analytics Cloud0%14%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
SAP Analytics Cloud0%14%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%06
ThoughtSpot0%14%36accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
ThoughtSpot0%14%36accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%08
Oracle Analytics0%0%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Oracle Analytics0%0%14accepted challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
Looker is made by Google, whose model Gemini 3.5 Flash is in the set. On the four share prompts that model made it the first choice one time of 4; the other thirteen models one time of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not enterprise.
All twenty-one head-to-head pages: the top seven products, each against each
Microsoft Power BI vs Zoho AnalyticsMicrosoft Power BI vs Qlik SenseMicrosoft Power BI vs DomoLooker Studio vs TableauLooker Studio vs MetabaseLooker Studio vs Zoho AnalyticsLooker Studio vs Qlik SenseLooker Studio vs DomoTableau vs MetabaseTableau vs Zoho AnalyticsTableau vs Qlik SenseTableau vs DomoMetabase vs Zoho AnalyticsMetabase vs Qlik SenseMetabase vs DomoZoho Analytics vs Qlik SenseZoho Analytics vs DomoQlik Sense vs Domo
One product takes 61% of first choices here, so the chart would put twelve 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. Three products carry a negative rate above 25% in this category.
What they warned about
Seven of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Grok 4.20, Mistral Small, Llama 4 Maverick, Qwen 3.7 Flash and GLM 4.7 FlashX 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.
Looker24%
15 of 63 labels negative · 11 of 14 models · 3 hard negative
“What to Avoid for Thousands of Users* Traditional Tableau Cloud / Looker (Standard Tiers)” Gemini 3.5 Flash, budget prompt
Tableau23%
17 of 74 labels negative · 11 of 14 models · 2 hard negative
“What to Avoid for Thousands of Users* Traditional Tableau Cloud / Looker (Standard Tiers)” Gemini 3.5 Flash, budget prompt
Domo32%
8 of 25 labels negative · 7 of 14 models · 2 hard negative
“No per-seat pricing; costs depend on data volume and usage; hard to forecast” GLM 4.7 FlashX, budget prompt
Microsoft Power BI10%
7 of 73 labels negative · 6 of 14 models
“Power BI's licensing guidance makes clear that access can depend on Pro/PPU versus capacity, which is exactly the kind of issue enterprises need to model carefully.” GPT-5.4 mini, negative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
71 of 84 answers in this category came back with a source list, from 13 of 14 models: citations where the model returns them, or the search results it consulted. 787 links across 276 sites, every framing counted. Ranked by the number of answers carrying the site or page. The other 1 model searched through a gateway that returned no source list on this edition. 6 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · Basedash20 answers · 37 citations · 9 models
20 answers · 23 citations · 9 models
19 answers · 19 citations · 9 models
vendor site · ThoughtSpot18 answers · 19 citations · 9 models
vendor site · Qlik17 answers · 21 citations · 8 models
vendor site · Microsoft16 answers · 21 citations · 10 models
vendor site · Improvado16 answers · 16 citations · 8 models
vendor site · Holistics14 answers · 15 citations · 8 models
vendor site · Tableau12 answers · 16 citations · 6 models
vendor site · LinkedIn10 answers · 16 citations · 7 models
10 answers · 10 citations · 7 models
vendor site · Software Advice10 answers · 10 citations · 6 models
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.
18 answers · 9 models
14 answers · 7 models
14 answers · 9 models
8 answers · 7 models
8 answers · 5 models
7 answers · 7 models
7 answers · 7 models
7 answers · 7 models
7 answers · 5 models
6 answers · 5 models
Search against answers
Each company's standing in the answers beside its site's footprint in Google search, one row a site: the products the models named on it with their shares, and the share they add up to; monthly searches on Google, and DataForSEO's estimate of AI search demand (modeled from search signals, directional, not a count of queries to any assistant), for the most-searched of the company's and its products' names (the name is in each row's hover text); estimated monthly organic visits to the site; and its best position in Google's top ten for “best business intelligence and dashboard tool”, “business intelligence and dashboard tool”. US estimates from DataForSEO and Google's Ads Transparency Center. A small company's site, or a mid-sized company's site for its flagship, is marked company; a product on a large parent's site (Google, Microsoft) has no site figures. A column with no figures for this category is left out, and an empty cell means none were seen, not none exist. Two measurements side by side: neither is read as the cause of the other.
| Company and products | Share | Own site cited | Name searches, Google | AI search demand, est. | Organic visits | Paid search a month, est. | Google ads, last 30 days | Best Google position |
|---|---|---|---|---|---|---|---|---|
| Microsoft parent site Microsoft Power BI 61%, Microsoft Power BI with Fabric capacity 4%, Microsoft Fabric 2% | 67% | 240 | 2,240,000 | 403,136 | ||||
| Tableau tableau.com | 18% | 200 | 135,000 | 15,635 | 1,201,809 | $23 | 85 | 3 |
| Google cloud.google.com Looker 4% | 4% | 129 | 18,100 | 2,051 | 7,405,347 | |||
| Qlik Sense qlik.com Qlik Sense 2%, Qlik Cloud Analytics 2% | 4% | 88 | 3,600 | 379 | 705,831 | 55 | 1 | |
| Helical Insight helicalinsight.com | 2% | 5 | ||||||
| Wyn Enterprise wynenterprise.com | 2% | 3 | ||||||
| Tableau Server | 2% | |||||||
| Basedash basedash.com | 2% | 9 | ||||||
| Microsoft Power BI Premium Per Capacity | 2% | |||||||
| ThoughtSpot thoughtspot.com | 0% | 50 | 8,100 | 269 | 207,491 | $2,050 | 75 | 9 |
Google's top ten for the two searches hold 16 sites; 3 of them are among the sites the models cited here (qlik.com, tableau.com, thoughtspot.com). The first result for “best business intelligence and dashboard tool” is reddit.com.
How 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.ShowHide
How 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.
ShowHideModelDirect“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 4.5Microsoft Power BITableauChangedMicrosoft Power BI, Qlik SenseMicrosoft Power BI, Qlik Senseagainst: Tableauno first choiceagainst: Looker Studio, Power BI Apps
Three alternatives
Looker, Qlik Sense, TableauThree alternatives
Looker, Microsoft Power BI, SAP BusinessObjectsThree alternatives
Looker, SAP BusinessObjects, TableauGPT-5.4 miniMicrosoft Power BITableauChangedMicrosoft Power BIQlik Cloud Analyticsagainst: Looker, Microsoft Power BIno first choiceagainst: Microsoft Power BI, Tableau
Three alternatives
Looker, Qlik Sense, TableauThree alternatives
Looker, Microsoft Power BI, Qlik SenseTen alternatives
Amazon QuickSight, Domo, IBM Cognos Analytics, Looker, Oracle Analytics, Qlik Cloud Analytics, Qlik Sense, SAP Analytics Cloud, Tableau, ThoughtSpotOne alternative
TableauGemini 3.5 FlashMicrosoft Power BIMicrosoft Power BIHeldno first choiceMicrosoft Fabric, Microsoft Power BIagainst: Looker, TableauLookeragainst: Apache Superset, IBM Cognos, Looker Studio, Metabase, Microsoft Power BI, Oracle BI Enterprise Edition, Redash, SAP BusinessObjects, Tableau, Zoho Analytics
Four alternatives
Looker, Sigma, Tableau, ThoughtSpotThree alternatives
Looker, Sigma, TableauFour alternatives
Amazon QuickSight, Apache Superset, Metabase, PresetFour alternatives
Microsoft Power BI, Sigma, Tableau, ThoughtSpotPerplexity SonarMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BI, TableauMicrosoft Power BI with Fabric capacityagainst: Tableauno first choiceagainst: Apache Superset, Domo, IBM Cognos, Looker, Metabase, Microsoft Power BI, Redash, SAP Analytics Cloud, Tableau
Four alternatives
Looker, Qlik Sense, Tableau, ThoughtSpotThree alternatives
Looker, Qlik Sense, TableauSeven alternatives
Amazon QuickSight, Looker, Oracle Analytics, Qlik Sense, SAP Analytics Cloud, Sisense, ThoughtSpotTwo alternatives
Amazon QuickSight, Qlik SenseGrok 4.20Microsoft Power BITableauChangedMicrosoft Power BI, Tableauagainst: Sisense, Zoho AnalyticsHelical Insightagainst: Basedash, Domo, Looker, Mammoth, Sisense, TableauMicrosoft Power BIagainst: Metabaseagainst: Amazon QuickSight, Looker, Microsoft Power BI, Oracle BI, Qlik Sense, QlikView, Tableau, ThoughtSpot, legacy SAP BO
Five alternatives
Domo, Looker, Qlik Sense, Tableau, ThoughtSpotThree alternatives
Looker, Microsoft Power BI, ThoughtSpotFour alternatives
Domo, IBM Cognos Analytics, Qlik Sense, SAS ViyaTwo alternatives
Amazon QuickSight, Microsoft Power BIFour alternatives
Looker, Sigma, Tableau, ThoughtSpotMistral SmallMicrosoft Power BIno first choiceChangedMicrosoft Power BIMicrosoft Power BI Premium Per Capacity, Tableau, Tableau Serverno first choiceagainst: Looker, Mode Analytics, Qlik Sense, Tableauagainst: Domo, Microsoft Power BI, Tableau
Four alternatives
Looker, Qlik Sense, Tableau, ThoughtSpotSeven alternatives
Domo, IBM Cognos Analytics, Looker, Qlik Sense, Sisense, Tableau, ThoughtSpotOne alternative
Helical InsightTwo alternatives
Microsoft Power BI, SigmaDeepSeek V4 FlashMicrosoft Power BIagainst: ThoughtSpotMicrosoft Power BIHeldMicrosoft Power BI, TableauMicrosoft Power BIagainst: Domo, Looker, Microsoft Power BI, Tableauno first choiceagainst: Looker, Sigma, Tableauagainst: Amazon QuickSight, Domo, IBM Cognos Analytics, Looker, MicroStrategy, SAP BusinessObjects
Two alternatives
Looker, TableauThree alternatives
Looker, Qlik Sense, TableauFive alternatives
Domo, Looker, MicroStrategy, Qlik Sense, ThoughtSpotOne alternative
Qlik SenseOne alternative
Microsoft Power BILlama 4 MaverickMicrosoft Power BIMicrosoft Power BI, TableauChangedno first choiceBasedash, Microsoft Power BIagainst: Looker, Tableau, ThoughtSpotno first choiceagainst: Qlik Sense, SAP Analytics Cloud, Tableau
Two alternatives
Looker, TableauThree alternatives
Looker, Metabase, ModeThree alternatives
Basedash, Tableau, Zoho AnalyticsQwen 3.7 FlashLooker, Microsoft Power BI, TableauMicrosoft Power BI, TableauChangedMicrosoft Power BIMicrosoft Power BIagainst: Tableauno first choiceagainst: Metabase, Supersetagainst: AWS QuickSight, Alibaba Cloud QuickBI, Domo, IBM Cognos, KNIME, Metabase, Pentaho Community Edition / Kettle, SAP BusinessObjects, Superset, Zoho Analytics
Three alternatives
Domo, Qlik Sense, ThoughtSpotOne alternative
LookerThree alternatives
Looker, Qlik Sense, TableauOne alternative
Amazon QuickSightKimi K2Microsoft Power BIMicrosoft Power BIHeldno first choiceMicrosoft Power BIagainst: Looker, Tableauno first choiceagainst: ThoughtSpotagainst: IBM Cognos, Looker, Oracle BI, SAP BusinessObjects, Sisense
Five alternatives
Looker, Qlik Cloud Analytics, Sisense, Tableau, ThoughtSpotTwo alternatives
Looker, TableauFour alternatives
GoodData, Helical Insight, Qlik Cloud Analytics, Wyn EnterpriseGLM 4.7 FlashXMicrosoft Power BIMicrosoft Power BI, TableauChangedMicrosoft Power BIMicrosoft Power BI with Fabric capacityagainst: Domo, Looker, Sisense, Tableau Creatorno first choiceagainst: Apache Superset, Lightdash, Metabaseagainst: Excel-based "BI" spreadsheets, MicroStrategy Desktop, Power BI Desktop, Qlik Sense Desktop, QlikView, SAP BusinessObjects, SAP Crystal Reports, Tableau Desktop, Tableau Public
Two alternatives
Looker, TableauTwo alternatives
Looker, Qlik SenseFour alternatives
Looker, Qlik Sense, Tableau, ThoughtSpotTwo alternatives
Amazon QuickSight, Qlik Cloud AnalyticsMiniMax M2.5Microsoft Power BI, TableauMicrosoft Power BI, TableauHeldno first choiceWyn Enterpriseagainst: Looker, Qlik Sense, Tableau Creator, ThoughtSpotMicrosoft Power BInothing named
Four alternatives
Domo, Looker, Qlik Cloud Analytics, ThoughtSpotTwo alternatives
Looker, Qlik SenseTwo alternatives
DashboardFox, Microsoft Power BIFour alternatives
Looker, Metabase, Sigma, TableauGPT-6 LunaMicrosoft Power BIMicrosoft Power BIHeldno first choiceMicrosoft Power BIMicrosoft Power BIagainst: Cognos Analytics, Fusion Middleware, Tableau
Two alternatives
Looker, TableauTwo alternatives
Looker, TableauOne alternative
TableauTwo alternatives
Looker, TableauMuse Glimmer 30BMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BI in Microsoft Fabric, Tableauagainst: DomoMicrosoft Power BIno first choiceagainst: Amazon QuickSight, Looker, Looker Studio, Qlik Sense, Sigma, Zoho Analytics
Two alternatives
Looker, TableauTwo alternatives
Looker, TableauSix alternatives
IBM Cognos Analytics, Looker – Google Cloud, Qlik Cloud Analytics, Qlik Sense, SAP Analytics Cloud, ThoughtSpotTwo alternatives
Amazon QuickSight, Qlik Cloud AnalyticsBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 16:04 | yes | 10 | 9 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:32 | yes | 3 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 12:39 | no | 0 | 14 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 09:04 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:42 | yes | 5 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:43 | yes | 5 | 6 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 10:22 | yes | 19 | 20 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 08:44 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 13:19 | yes | 5 | 22 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:27 | yes | 10 | 40 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 09:33 | yes | 14 | 27 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:44 | yes | 10 | 35 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 14:58 | yes | 4 | 15 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:38 | yes | 13 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 12:42 | yes | 10 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:42 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 08:55 | no | 0 | 13 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 12:33 | yes | 10 | 4 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:30 | yes | 5 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:21 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:07 | yes | 25 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 12:50 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 12:14 | yes | 5 | 18 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 13:32 | yes | 20 | 20 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 12:48 | yes | 15 | 109 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:56 | no | 0 | 14 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:29 | yes | 3 | 10 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:40 | yes | 15 | 36 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:01 | yes | 16 | 11 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 15:56 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:09 | no | 0 | 19 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 13:10 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:12 | yes | 5 | 18 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:12 | yes | 5 | 5 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 15:46 | yes | 19 | 42 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 09:53 | yes | 5 | 4 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:09 | yes | 5 | 31 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 09:33 | yes | 14 | 33 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:49 | yes | 14 | 40 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:34 | yes | 5 | 23 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 11:18 | yes | 8 | 20 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:16 | yes | 14 | 25 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:26 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 17:13 | yes | 7 | 9 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 13:51 | no | 0 | 16 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 14:58 | yes | 10 | 4 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 15:40 | yes | 13 | 16 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:06 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:57 | yes | 25 | 21 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:02 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:24 | yes | 15 | 121 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 15:37 | yes | 19 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 10:53 | yes | 20 | 55 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 15:17 | yes | 13 | 72 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:18 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 12:59 | yes | 22 | 34 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:43 | no | 0 | 7 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 09:52 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 15:41 | no | 0 | 21 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 09:23 | yes | 10 | 9 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:15 | yes | 5 | 15 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:34 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 14:51 | yes | 21 | 46 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:06 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:32 | no | 0 | 31 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 11:33 | yes | 12 | 37 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 17:29 | yes | 23 | 70 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 13:17 | yes | 9 | 37 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:49 | yes | 4 | 21 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 15:24 | yes | 14 | 22 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 10:40 | yes | 19 | 10 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:04 | yes | 5 | 7 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 09:46 | no | 0 | 18 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 16:11 | yes | 10 | 6 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:17 | yes | 10 | 14 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:21 | yes | 5 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:26 | yes | 24 | 81 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:13 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:10 | yes | 20 | 57 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:50 | yes | 25 | 27 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 15:28 | yes | 23 | 70 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:54 | no | 0 | 23 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 15:04 | yes | 4 | 22 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 14:39 | yes | 15 | 26 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
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Category-scoped readings
Qlik read as Qlik Sense
Qlik (Sense/Cloud) read as Qlik Sense
Qlik Cloud read as Qlik Sense
Unresolved, counted raw
Alibaba Cloud QuickBI
Cognos Analytics
Excel-based "BI" spreadsheets
Fusion Middleware
InetSoft
Logi Analytics
Looker – Google Cloud
MicroStrategy Desktop
Microsoft Power BI Premium Per Capacity
Microsoft Power BI in Microsoft Fabric
Oracle BI Enterprise Edition (OBIEE)
Pentaho Community Edition / Kettle
Power BI Apps
Preset Cloud
Preset for Apache Superset
Qlik Sense Desktop
Reflex
SAP Crystal Reports
Sallam
Tableau Desktop
Tableau Embedded
legacy SAP BO
Discontinued, still offered
No shut-down product was recommended here.