Dashboards and data visualization
Asked as “business intelligence and dashboard tool”, and as “data visualization platform”, on behalf of a mid-market B2B company. 48 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each.
Standing · first-choice share
52%
Clear leader
52Microsoft Power BI25Looker Studio08Metabase15others
52% of first choices, clear leader.
Since September 2026▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.Microsoft Power BI held the lead, −11 points on 62%, past the 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 BI37%Contested▲+1Since September 2026: 36% → 37%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketMicrosoft Power BI52%Clear leader▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.This pageEnterpriseMicrosoft Power BI58%Clear leader▼−11Since September 2026: 70% → 58%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →
Microsoft Power BI37%Contested▲+1Since September 2026: 36% → 37%, +1 point. Inside the 11-point floor: within noise. Read over the models both editions asked.Standing →Mid-marketMicrosoft Power BI52%Clear leader▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.This pageEnterpriseMicrosoft Power BI58%Clear leader▼−11Since September 2026: 70% → 58%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.Standing →The standing
Share is the count of first choices across the direct, paraphrase, budget and scale prompts, over all fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
01Microsoft Power BI52%17%71endorsed leader▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.62% → 51%
Microsoft Power BI52%17%71endorsed leader▼−11Since September 2026: 62% → 51%, −11 points. Past the 11-point floor: movement. Read over the models both editions asked.62% → 51%02
Looker Studio Lab in the set25%10%29accepted challenger▲+10Since September 2026: 14% → 24%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 24%
Looker Studio Lab in the set25%10%29accepted challenger▲+10Since September 2026: 14% → 24%, +10 points. Inside the 11-point floor: within noise. Read over the models both editions asked.14% → 24%03
Tableau8%21%63accepted challenger▲+4Since September 2026: 6% → 10%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 10%
Tableau8%21%63accepted challenger▲+4Since September 2026: 6% → 10%, +4 points. Inside the 11-point floor: within noise. Read over the models both editions asked.6% → 10%04
Metabase8%6%31accepted challenger▼−3Since September 2026: 10% → 7%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 7%
Metabase8%6%31accepted challenger▼−3Since September 2026: 10% → 7%, −3 points. Inside the 11-point floor: within noise. Read over the models both editions asked.10% → 7%05
Zoho Analytics2%4%25accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%
Zoho Analytics2%4%25accepted challenger=heldSince September 2026: 2% → 2%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 2%06
Sigma2%0%15accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Sigma2%0%15accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%07
Domo2%21%24accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%
Domo2%21%24accepted challenger▲+2Since September 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 2%Show the four products at 0%, ordered by negative rate
11
Sisense0%29%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Sisense0%29%17criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%08
Looker Lab in the set0%26%47criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%
Looker Lab in the set0%26%47criticized challenger=heldSince September 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise. Read over the models both editions asked.0% → 0%09
Qlik Sense0%17%29accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
Qlik Sense0%17%29accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%10
ThoughtSpot0%12%17accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 0%
ThoughtSpot0%12%17accepted challenger▼−2Since September 2026: 2% → 0%, −2 points. Inside the 11-point floor: within noise. Read over the models both editions asked.2% → 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 is noise, and both are shown. Movement is read over the twelve models both editions asked; GPT-6 Luna, Muse Glimmer 30B joined this edition and are in the standing but not yet in the comparison. 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 Studio 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 eleven times of 52. 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 zero times of 4; the other thirteen models zero times of 52. Lab treatment is defined on the method page; the row is marked, not excluded.
Head to head
All twenty-one head-to-head pages: the top seven products, each against each
Microsoft Power BI vs Zoho AnalyticsMicrosoft Power BI vs SigmaMicrosoft Power BI vs DomoLooker Studio vs TableauLooker Studio vs MetabaseLooker Studio vs Zoho AnalyticsLooker Studio vs SigmaLooker Studio vs DomoTableau vs MetabaseTableau vs Zoho AnalyticsTableau vs SigmaTableau vs DomoMetabase vs Zoho AnalyticsMetabase vs SigmaMetabase vs DomoZoho Analytics vs SigmaZoho Analytics vs DomoSigma vs Domo
Recommended versus criticized
Every product with at least 10 labels here, on both axes. The 30% line names a quadrant, not the verdict above: that one needs more than 40%.
Criticized challengerCriticized default
Negative label rate →
0102030405060708091011Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative70%
Key
01Microsoft Power BI52%
Microsoft Power BI52%02Looker Studio25%
Looker Studio25%03Tableau8%
Tableau8%04Metabase8%
Metabase8%05Zoho Analytics2%
Zoho Analytics2%06Sigma2%
Sigma2%07Domo2%
Domo2%08Looker0%
Looker0%09Qlik Sense0%
Qlik Sense0%10ThoughtSpot0%
ThoughtSpot0%11Sisense0%
Sisense0%What they warned about
Nine of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, Gemini 3.5 Flash, Mistral Small, Llama 4 Maverick and MiniMax M2.5 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.
Looker26%
12 of 47 labels negative · 12 of 14 models · 2 hard negative
“**Avoid Looker** unless you have a dedicated data team and the budget for its complexity and cost.” Mistral Small, negative prompt
Tableau21%
13 of 63 labels negative · 12 of 14 models
“Avoid investing in massive enterprise platforms (like full-scale Tableau Server... Avoid implementing any self-service tool (Tableau, Power BI, Sisense) without establishing data governance” Qwen 3.7 Flash, negative prompt
Microsoft Power BI17%
12 of 71 labels negative · 10 of 14 models
“**Dataset limits and performance**: Pro tier caps at 1GB, slows on large data/DAX queries... **When to avoid**: Non-Microsoft stacks, massive datasets” Grok 4.1 Fast, negative prompt
MicroStrategy
100%
7 of 7 labels negative · 7 of 14 models · 5 hard negative
“Businesses usually leave MicroStrategy over pricing that is not fully transparent and skews expensive, a steep learning curve” Muse Glimmer 30B, negative prompt
What they cite
Citations exist only for the models that return a source list: fourteen of the fourteen in this edition, and all six flagship models on the expanded tier.
Sites the answers cite
76 of 84 answers in this category came back with a source list, from 14 of 14 models: citations where the model returns them, or the search results it consulted. 963 links across 277 sites, every framing counted. Ranked by the number of answers carrying the site or page. None of the 252 answers across every segment cited this index's own page for the category.
vendor site · ThoughtSpot26 answers · 38 citations · 13 models
vendor site · Zoho24 answers · 44 citations · 10 models
vendor site · Domo22 answers · 31 citations · 10 models
vendor site · Viasocket18 answers · 39 citations · 10 models
vendor site · Querio16 answers · 21 citations · 7 models
vendor site · Holistics16 answers · 17 citations · 9 models
15 answers · 16 citations · 10 models
vendor site · Qlik13 answers · 15 citations · 9 models
vendor site · Improvado13 answers · 13 citations · 8 models
vendor site · Medium13 answers · 13 citations · 9 models
vendor site · LinkedIn12 answers · 16 citations · 6 models
12 answers · 14 citations · 9 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.
13 answers · 8 models
11 answers · 8 models
11 answers · 9 models
10 answers · 8 models
10 answers · 8 models
10 answers · 5 models
9 answers · 4 models
9 answers · 8 models
9 answers · 7 models
9 answers · 7 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 52% | 52% | 242 | 2,240,000 | 403,136 | ||||
| Google cloud.google.com Looker Studio 25%, Looker 0% | 25% | 155 | 40,500 | 452 | 7,405,347 | |||
| Tableau tableau.com | 8% | 215 | 135,000 | 15,635 | 1,201,809 | $23 | 85 | 3 |
| Metabase metabase.com | 8% | 112 | 14,800 | 337 | 60,151 | 1 | ||
| Zoho parent site Zoho Analytics 2% | 2% | 89 | 2,900 | 23 | ||||
| Sigma sigmacomputing.com | 2% | 31 | 246,000 | 60,163 | 67,518 | |||
| Domo domo.com | 2% | 75 | 135,000 | 4,397 | 255,482 | 87 | 5 | |
| Qlik Sense qlik.com | 0% | 73 | 3,600 | 379 | 705,831 | 55 | 1 | |
| ThoughtSpot thoughtspot.com | 0% | 53 | 8,100 | 269 | 207,491 | $2,050 | 75 | 9 |
| Sisense sisense.com | 0% | 45 | 2,400 | 140 | 29,511 | $243 | 15 |
Google's top ten for the two searches hold 16 sites; 3 of them are among the sites the models cited here (domo.com, qlik.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 a mid-market B2B company?”Paraphrase“Which data visualization platform would you recommend to a mid-sized B2B company?”Comparative“What are the top business intelligence tools and how do they differ?”Budget-constrained“What is the best business intelligence and dashboard tool for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a business intelligence and dashboard tool. What should we look at?”Negative“Which business intelligence tools should I avoid or be cautious about?”
Claude Haiku 4.5Microsoft Power BI, Tableauno first choiceChangedMicrosoft Power BILooker Studio, Zoho Analyticsno first choiceagainst: Apache Superset, DataEase, Looker, Metabase, MicroStrategy, Microsoft Power BI, Pentaho, Redash, Tableau
One alternative
MetabaseFive alternatives
Looker, Qlik Sense, Sigma, Sisense, TableauThree alternatives
Databox, Metabase, Microsoft Power BIGPT-5.4 miniMicrosoft Power BIMicrosoft Power BIHeldno first choiceMicrosoft Power BIagainst: Lookerno first choicenothing named
Two alternatives
Looker, TableauTwo alternatives
Looker, TableauFour alternatives
Looker, Microsoft Power BI, Qlik Sense, TableauOne alternative
TableauGemini 3.5 FlashSigmaMicrosoft Power BIChangedagainst: Looker StudioMicrosoft Power BILooker Studiono first choiceagainst: Apache Superset, IBM Cognos, Looker, Looker Studio, Metabase, MicroStrategy, Microsoft Power BI, Oracle BI, SAP BusinessObjects, Tableau
Five alternatives
Explo, Metabase, Microsoft Power BI, Sisense, TableauFour alternatives
Metabase, Omni, Sigma, TableauFive alternatives
Amazon QuickSight, Looker, Omni, Sigma, TableauThree alternatives
Apache Superset, Metabase, Microsoft Power BIFive alternatives
Looker, Metabase, Microsoft Power BI, Omni, SigmaPerplexity SonarMicrosoft Power BIMicrosoft Power BIHeldTableauLooker Studiono first choiceagainst: Domo, Microsoft Power BI, Open-source BI tools, Tableau
Two alternatives
Tableau, Zoho AnalyticsThree alternatives
Domo, Looker Studio, TableauSix alternatives
IBM Cognos Analytics, Looker, Microsoft Power BI, Sisense, ThoughtSpot, Zoho AnalyticsThree alternatives
Metabase, Microsoft Power BI, Zoho AnalyticsGrok 4.1 FastMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BIagainst: Oracle AnalyticsLooker Studioagainst: Qlik Sense, Tableau Public, Zoho Analyticsno first choiceagainst: IBM Cognos, Looker, MicroStrategy, Microsoft Power BI, Oracle Analytics, SAP BusinessObjects, Sisense, Tableau
Three alternatives
Looker, Tableau, Zoho AnalyticsFour alternatives
Looker, Looker Studio, Tableau, Zoho AnalyticsFour alternatives
Looker Studio, Qlik Sense, Salesforce, ThoughtSpotThree alternatives
Apache Superset, Metabase, Microsoft Power BIMistral SmallTableauno first choiceChangedno first choiceLooker StudioMicrosoft Power BIagainst: Looker, Microsoft Power BI, Qlik Sense, Tableau
Two alternatives
Domo, Microsoft Power BIThree alternatives
Metabase, Tableau Public, Zoho AnalyticsFive alternatives
Looker, Metabase, Mode, Sigma, TableauDeepSeek V4 FlashMicrosoft Power BIMicrosoft Power BIHeldSalesforceLooker StudioMicrosoft Power BIagainst: IBM Cognos, Looker, MicroStrategy, Oracle BI, QlikView, SAP BusinessObjects, Tableau
Five alternatives
Domo, Looker Studio, Sigma, Tableau, ThoughtSpotFive alternatives
Looker Studio, Metabase, Qlik Sense, Sisense, TableauSix alternatives
IBM Cognos Analytics, Looker Studio, Microsoft Power BI, Qlik Sense, SAP Business Intelligence, ThoughtSpotThree alternatives
Metabase, Microsoft Power BI, Zoho AnalyticsThree alternatives
Looker, Qlik Sense, TableauLlama 4 Maverickno first choiceDomoChangedno first choiceLooker Studiono first choiceagainst: Domo, Looker, Microsoft Power BI, Qlik Sense, Sisense, Tableau, Tableau Creator, ThoughtSpot
Two alternatives
Qlik Sense, Zoho AnalyticsTwo alternatives
Metabase, Microsoft Power BIQwen 3.7 FlashMicrosoft Power BIMicrosoft Power BIHeldno first choiceLooker Studioagainst: Microsoft Power BI, TableauMicrosoft Power BI, Tableauagainst: AWS QuickSight, Databricks, Looker, MicroStrategy, Microsoft’s Fabric ecosystem, Qlik Sense, Sisense, Tableau
Four alternatives
Domo, Looker, Tableau, Zoho AnalyticsThree alternatives
Domo, Looker, TableauFive alternatives
Looker, Microsoft Power BI, Qlik Sense, Tableau, ThoughtSpotTwo alternatives
Metabase, Zoho AnalyticsOne alternative
LookerKimi K2Microsoft Power BIagainst: DomoMicrosoft Power BIHeldno first choiceagainst: MicroStrategyMetabaseno first choiceagainst: Crystal Reports, IBM Cognos, Microsoft Power BI, Qlik Sense, Tableau
Three alternatives
Sigma, Sisense, TableauFour alternatives
Looker, Looker Studio, Tableau, Zoho AnalyticsFive alternatives
Looker, Microsoft Power BI, Qlik Sense, Tableau, ThoughtSpotFour alternatives
Grafana, Looker Studio, Power BI Desktop, Zoho AnalyticsGLM 4.7 FlashXMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BI, TableauMetabaseagainst: Microsoft Power BIno first choiceagainst: Crystal Reports, IBM Cognos, Looker, Microsoft Power BI, Oracle Business Intelligence, SAP BusinessObjects, Tableau
Three alternatives
Looker, Qlik Sense, TableauThree alternatives
Domo, Tableau, Zoho AnalyticsSix alternatives
Domo, Looker, Metabase, Qlik Sense, Sisense, ThoughtSpotTwo alternatives
Apache Superset, Looker StudioMiniMax M2.5Microsoft Power BILooker Studio, TableauChangedMicrosoft Power BILooker Studio, Metabaseno first choiceagainst: Domo, Looker, Sisense, Tableau Creator, ThoughtSpot
Two alternatives
Domo, TableauOne alternative
Microsoft Power BIFive alternatives
Looker, Metabase, Qlik Sense, Tableau, ThoughtSpotOne alternative
Power BI DesktopGPT-6 LunaMicrosoft Power BIMicrosoft Power BIHeldno first choiceLooker Studiono first choiceagainst: Looker, Looker Studio, SAP Lumira Discovery, Tableau
Three alternatives
Looker, Sigma, TableauTwo alternatives
Looker, TableauTwo alternatives
Metabase, Microsoft Power BIMuse Glimmer 30BMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BILooker Studio, Metabaseagainst: Microsoft Power BIno first choiceagainst: Domo, Looker, MicroStrategy, Microsoft Power BI, Sisense, Tableau
Five alternatives
Domo, Looker, Looker Studio, Tableau, ThoughtSpotThree alternatives
Looker, Looker Studio, TableauFive alternatives
Looker, Qlik Sense, Tableau, ThoughtSpot, Zoho AnalyticsOne alternative
Apache SupersetBold 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. Full answer text is in the free responses file. Download the record
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 | 2026-10-01 11:52 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 14:05 | yes | 3 | 6 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:48 | yes | 10 | 25 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-01 11:45 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 08:13 | yes | 22 | 8 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:31 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:55 | yes | 24 | 36 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 12:25 | yes | 5 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 08:39 | yes | 10 | 24 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 09:37 | yes | 15 | 33 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 07:53 | yes | 23 | 71 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:18 | yes | 13 | 35 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-01 11:58 | yes | 4 | 13 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 11:47 | yes | 14 | 19 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:33 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 13:51 | yes | 5 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 09:21 | yes | 8 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-01 13:46 | yes | 20 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 10:49 | yes | 20 | 5 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:11 | no | 0 | 2 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:55 | yes | 14 | 24 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:39 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:56 | no | 0 | 22 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 13:21 | yes | 10 | 18 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:24 | yes | 15 | 78 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 13:51 | yes | 5 | 15 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-01 14:16 | yes | 3 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:39 | yes | 15 | 22 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:13 | yes | 9 | 9 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:23 | yes | 5 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 07:31 | yes | 23 | 32 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-01 10:58 | yes | 17 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:59 | yes | 22 | 9 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 10:36 | yes | 7 | 6 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 11:14 | yes | 23 | 42 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 13:23 | yes | 5 | 3 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 13:29 | yes | 5 | 23 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:47 | yes | 10 | 21 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:54 | yes | 15 | 28 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 12:55 | yes | 10 | 15 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-01 13:30 | yes | 6 | 23 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 13:44 | yes | 15 | 21 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 11:16 | yes | 9 | 6 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 09:26 | yes | 2 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:43 | yes | 13 | 25 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-01 11:29 | yes | 23 | 6 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:47 | yes | 25 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:06 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 07:55 | yes | 19 | 24 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 09:40 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 10:05 | yes | 20 | 42 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:06 | yes | 10 | 13 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 11:04 | yes | 24 | 54 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 11:56 | yes | 10 | 34 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 14:10 | yes | 3 | 14 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 10:23 | yes | 15 | 20 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 09:31 | yes | 17 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 11:08 | no | 0 | 10 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 12:56 | yes | 8 | 29 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-01 08:38 | yes | 18 | 4 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 13:54 | yes | 15 | 7 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 11:24 | no | 0 | 8 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:41 | yes | 20 | 53 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:53 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 07:43 | no | 0 | 26 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 08:46 | yes | 19 | 28 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 12:44 | yes | 15 | 45 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 08:14 | no | 0 | 10 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-01 09:56 | yes | 3 | 18 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 08:51 | yes | 15 | 30 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-01 08:48 | yes | 18 | 12 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-01 07:50 | yes | 6 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-01 13:43 | yes | 11 | 20 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-01 07:38 | yes | 19 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-01 11:55 | yes | 25 | 8 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-01 12:51 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-01 13:45 | yes | 24 | 43 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-01 10:11 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-01 09:21 | yes | 5 | 28 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-01 10:18 | yes | 14 | 24 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-01 10:03 | yes | 23 | 227 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-01 10:22 | yes | 5 | 23 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-01 12:05 | yes | 3 | 19 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-01 12:24 | yes | 24 | 24 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
Google (Looker) read as Looker Studio
Microsoft (Power BI) read as Microsoft Power BI
Microsoft Power BI Desktop (Free Tier) read as Microsoft Power BI
Oracle read as Oracle Analytics
Qlik read as Qlik Sense
Zoho read as Zoho Analytics
Unresolved, counted raw
DataEase
Einstein Analytics
Microsoft’s Fabric ecosystem
Open-source BI tools
Oracle Business Intelligence
Periscope Data
SAP Business Intelligence
SAP Lumira Discovery
Salesforce (Tableau)
Discontinued, still offered
No shut-down product was recommended here.