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 · first-choice share
70%
Clear leader
70Microsoft Power BI17Tableau04Sigma09others
70% of first choices, clear leader.
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.
The 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
Show the five products at 0%, ordered by negative rate
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 eleven models zero times of 44. Lab treatment is defined on the method page; the row is marked, not excluded.
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 Qlik SenseMicrosoft Power BI vs ThoughtSpotMicrosoft Power BI vs Zoho AnalyticsLooker Studio vs MetabaseLooker Studio vs TableauLooker Studio vs Qlik SenseLooker Studio vs ThoughtSpotLooker Studio vs Zoho AnalyticsMetabase vs TableauMetabase vs Qlik SenseMetabase vs ThoughtSpotMetabase vs Zoho AnalyticsTableau vs Qlik SenseTableau vs ThoughtSpotTableau vs Zoho AnalyticsQlik Sense vs ThoughtSpotQlik Sense vs Zoho AnalyticsThoughtSpot vs Zoho Analytics
One product takes 70% of first choices here, so the chart would put nine 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.
What they warned about
Nine of twelve models held their first choice under the paraphrase. GPT-5.4 mini, Gemini 3.5 Flash and Mistral Small 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.
Tableau27%
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
Domo36%
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
Looker24%
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 BI10%
7 of 67 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 4.20, negative prompt
What they cite
Four of the twelve models returned a source list in this edition: four return the pages they cited.
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. 267 links across 140 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.
vendor site · OvalEdge7 answers · 9 citations · 3 models
vendor site · Improvado7 answers · 8 citations · 2 models
vendor site · Qlik7 answers · 8 citations · 3 models
vendor site · Domo6 answers · 7 citations · 3 models
vendor site · Reddit6 answers · 7 citations · 2 models
5 answers · 6 citations · 1 model
vendor site · Gartner5 answers · 5 citations · 2 models
vendor site · Monday.com5 answers · 5 citations · 3 models
vendor site · Tellius5 answers · 5 citations · 3 models
vendor site · Holistics4 answers · 4 citations · 2 models
4 answers · 4 citations · 3 models
4 answers · 4 citations · 2 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.
6 answers · 2 models
5 answers · 3 models
5 answers · 3 models
4 answers · 2 models
4 answers · 1 model
4 answers · 2 models
4 answers · 2 models
4 answers · 1 model
3 answers · 2 models
3 answers · 1 model
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 70% | 70% | 240 | 2,240,000 | 403,136 | ||||
| Tableau tableau.com | 17% | 200 | 135,000 | 15,635 | 1,201,809 | $23 | 85 | 3 |
| Sigma sigmacomputing.com | 4% | 27 | 246,000 | 60,163 | 67,518 | |||
| Qlik Sense qlik.com | 2% | 88 | 3,600 | 379 | 705,831 | 55 | 1 | |
| Google cloud.google.com Looker 2% | 2% | 129 | 18,100 | 2,051 | 7,405,347 | |||
| Omni omni.co Omni Analytics 2%, Omni 0% | 2% | 2 | 110,000 | 71,204 | 52,818 | 14 | ||
| Microsoft Power BI with Microsoft Fabric | 2% | |||||||
| ThoughtSpot thoughtspot.com | 0% | 50 | 8,100 | 269 | 207,491 | $2,050 | 75 | 9 |
| Oracle parent site Oracle Analytics 0% | 0% | 25 | 450,000 | 66,611 | ||||
| SAP parent site SAP Analytics Cloud 0% | 0% | 21 | 135,000 | 74,309 |
Google's top ten for the two searches hold 16 sites; 5 of them are among the sites the models cited here (domo.com, gartner.com, monday.com, qlik.com, reddit.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 4.5TableauTableauHeldno first choiceMicrosoft Power BIno first choiceagainst: Microsoft Power BI, SAP BusinessObjects
Four alternatives
Looker, Microsoft Power BI, Qlik Sense, SisenseTwo alternatives
Looker, Microsoft Power BIOne alternative
Helical InsightGPT-5.4 miniMicrosoft Power BITableauChangedMicrosoft Power BI, TableauMicrosoft Power BIagainst: Tableauno first choicenothing named
Three alternatives
Looker, Qlik Sense, TableauThree alternatives
Looker, Microsoft Power BI, Qlik SenseFour alternatives
Looker, Oracle Analytics, Qlik Sense, SAP Analytics CloudOne alternative
Qlik SenseGemini 3.5 FlashMicrosoft Power BI, TableauMicrosoft Power BIChangedMicrosoft Power BI, TableauMicrosoft Power BIagainst: TableauLooker, Sigmaagainst: Tableauagainst: Domo, Legacy IBM Cognos, Looker Studio, Metabase, Microsoft Power BI, Oracle BI, Redash, SAP BusinessObjects, Tableau
Three alternatives
Looker, Sigma, ThoughtSpotTwo alternatives
Looker, TableauFour alternatives
AWS QuickSight, Looker, Qlik Sense, ThoughtSpotThree alternatives
Apache Superset, Helical Insight, MetabaseTwo alternatives
AWS QuickSight, Microsoft Power BIPerplexity SonarMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BIMicrosoft Power BIagainst: Qlik Sense, TableauMicrosoft Power BI, Tableauagainst: Domo, IBM Cognos, Looker, MicroStrategy, Microsoft Power BI, Qlik Sense, SAP BusinessObjects, Sisense, Strategy, Tableau
One alternative
TableauThree alternatives
Looker, Qlik Sense, TableauFour alternatives
IBM Cognos Analytics, Looker, Tableau, ThoughtSpotTwo alternatives
Looker, Metabase self-hostedThree alternatives
Domo, Looker, MetabaseGrok 4.20Microsoft Power BIMicrosoft Power BIHeldMicrosoft Power BIMicrosoft Power BIagainst: Domo, Looker, Qlik Sense, Tableauno first choiceagainst: Domo, GoodData, IBM Cognos Analytics, Looker, MicroStrategy, Microsoft Power BI, Qlik Sense, QuickSight, Sisense, Tableau, ThoughtSpot
Two alternatives
Looker, TableauThree alternatives
Looker, Qlik Sense, TableauFour alternatives
Looker, Qlik Sense, SAP Analytics Cloud, TableauThree alternatives
Microsoft Power BI, Sigma, TableauMistral SmallOmni AnalyticsQlik SenseChangedMicrosoft Power BI, Tableauagainst: Amazon QuickSight, SAP Analytics Cloud, SisenseMicrosoft Power BIagainst: Lookerno first choiceagainst: Domo, Looker, Sisense, Tableau, ThoughtSpot
Five alternatives
Looker, Microsoft Power BI, Sisense, Tableau, ThoughtSpotTwo alternatives
Microsoft Power BI, TableauFour alternatives
Looker, Qlik Sense, Tellius, ThoughtSpotTwo alternatives
Qlik Sense, TableauDeepSeek V4 FlashMicrosoft Power BIMicrosoft Power BIHeldagainst: LookerMicrosoft Power BIMicrosoft Power BIagainst: Looker, SAP Analytics Cloud, Sigma, Tableauno first choiceagainst: Amazon QuickSight, Domo, IBM Cognos Analytics, Looker, Metabase, Microsoft Power BI, Qlik Sense, Sisense, ThoughtSpot
Two alternatives
Looker Studio, Salesforce/TableauTwo alternatives
Qlik Sense, TableauFive alternatives
Looker, Qlik Sense, Tableau, Tellius, ThoughtSpotOne alternative
Qlik SenseFive alternatives
Looker, Microsoft Power BI, Qlik Sense, Tableau, ThoughtSpotLlama 4 MaverickTableauTableauHeldMicrosoft Power BIMicrosoft Power BIMicrosoft Power BI, Tableauagainst: Amazon QuickSight, Looker Studio, MicroStrategy, Qlik Sense
Two alternatives
Autobound.ai, ThoughtSpotFour alternatives
Domo, Qlik Sense, Tableau, TelliusFour alternatives
Basedash, Looker, Sigma, Zoho AnalyticsQwen 3.7 FlashMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BI, Tableauagainst: SASMicrosoft Power BIagainst: Amazon QuickSight, Looker, Metabase, Tableauno first choiceagainst: IBM Cognos Classic, Legacy OBIEE, Microsoft Power BI, Older MicroStrategy, SAP BusinessObjects, Tableau
Two alternatives
Looker, TableauTwo alternatives
Tableau, ThoughtSpotThree alternatives
Looker, Qlik Sense, SAP Analytics CloudKimi K2Microsoft Power BIMicrosoft Power BIHeldagainst: LookerMicrosoft Power BIMicrosoft Power BI with Microsoft Fabricagainst: TableauMicrosoft Power BI, Sigmaagainst: Tableauagainst: Apache Superset, Domo, IBM Cognos Analytics, Looker, Metabase, MicroStrategy, Redash, SAP BusinessObjects, Sisense, TIBCO Spotfire, Tableau
Six alternatives
Cube, Looker, Qlik Sense, Sigma, Tableau, ThoughtSpotOne alternative
TableauFour alternatives
Looker, Qlik Sense, Strategy, TableauTwo alternatives
Amazon QuickSight, Qlik SenseTwo alternatives
Holistics, LookerGLM 4.7 FlashXMicrosoft Power BIMicrosoft Power BIHeldMicrosoft Power BI, TableauMicrosoft Power BIagainst: Looker, SAP Analytics Cloud, Tableauno first choiceagainst: Microsoft Power BI, Tableau
Ten alternatives
Amazon QuickSight, Domo, IBM Cognos Analytics, MicroStrategy, Oracle Analytics, Qlik Sense, SAP Analytics Cloud, Sisense, Tableau, ThoughtSpotTwo alternatives
Qlik Sense, TableauThree alternatives
Domo, Looker, Qlik SenseOne alternative
Qlik SenseMiniMax M2.5Microsoft Power BIagainst: DomoMicrosoft Power BIHeldMicrosoft Power BI, TableauMicrosoft Power BIagainst: Domo, Qlik Sense, TableauMicrosoft Power BIagainst: Amazon QuickSight, Looker Studio, MicroStrategy, Qlik Sense
Three alternatives
Looker, Sisense, TableauThree alternatives
Looker, Qlik Sense, TableauFive alternatives
Looker, Oracle Analytics, Qlik Sense, Sigma, ThoughtSpotFour alternatives
Basedash, Domo, Sigma, TableauBold 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.
Seventy-two 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 | 2026-09-14 23:38 | no | 0 | 5 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 04:41 | yes | 2 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 03:07 | yes | 16 | 26 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-09-15 02:40 | yes | 20 | 5 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 00:42 | yes | 0 | 6 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 02:54 | yes | 0 | 8 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-14 23:24 | yes | 0 | 17 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 02:40 | yes | 0 | 1 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 00:13 | yes | 0 | 23 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 03:36 | yes | 0 | 33 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 04:16 | yes | 0 | 44 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 02:45 | yes | 0 | 21 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 01:38 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 00:41 | yes | 3 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-14 23:52 | yes | 8 | 28 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-09-14 22:54 | yes | 20 | 5 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 02:45 | yes | 0 | 5 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 03:56 | yes | 0 | 9 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-14 23:22 | yes | 0 | 33 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 01:38 | yes | 0 | 1 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 04:57 | no | 0 | 34 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 04:44 | yes | 0 | 21 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 00:21 | yes | 0 | 23 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-14 23:47 | yes | 0 | 10 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 04:22 | yes | 15 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 03:28 | yes | 4 | 8 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 02:23 | yes | 10 | 28 s |
| Comparative | Perplexity Sonar | sonar | 2026-09-15 03:39 | yes | 20 | 8 s |
| Comparative | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-14 23:53 | yes | 0 | 7 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 02:12 | yes | 0 | 12 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 02:24 | yes | 0 | 17 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 00:24 | yes | 0 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 01:21 | no | 0 | 41 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 02:05 | yes | 0 | 51 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 02:55 | yes | 0 | 40 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 00:43 | yes | 0 | 17 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 05:05 | yes | 16 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 02:53 | yes | 4 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 00:09 | yes | 23 | 29 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-09-14 23:11 | yes | 20 | 6 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 00:04 | yes | 0 | 5 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 00:55 | yes | 0 | 6 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 02:46 | yes | 0 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 03:55 | yes | 0 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 03:49 | yes | 0 | 39 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-15 04:01 | yes | 0 | 56 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 01:41 | yes | 0 | 51 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 04:58 | yes | 0 | 43 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-15 05:06 | yes | 18 | 13 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 01:10 | no | 0 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-15 02:44 | no | 0 | 19 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-09-15 01:56 | yes | 20 | 10 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 02:24 | yes | 0 | 9 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-09-15 02:47 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via fireworks | 2026-09-15 02:33 | yes | 0 | 28 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 00:54 | yes | 0 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 00:22 | yes | 0 | 41 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-14 23:36 | yes | 0 | 68 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 04:44 | yes | 0 | 42 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 04:59 | yes | 0 | 18 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-09-14 22:54 | yes | 14 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-09-15 02:47 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-09-14 23:33 | yes | 10 | 24 s |
| Negative framing | Perplexity Sonar | sonar | 2026-09-15 04:18 | yes | 20 | 10 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.1-fast-non-reasoning via vertex (asked for grok-4.20-non-reasoning; the API answered as this version) | 2026-09-15 04:35 | yes | 0 | 12 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-09-14 23:06 | yes | 0 | 13 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-09-15 00:10 | yes | 0 | 55 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-09-15 02:27 | yes | 0 | 3 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-09-15 02:40 | yes | 0 | 38 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-09-14 23:55 | yes | 0 | 53 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-09-15 02:43 | yes | 0 | 14 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-09-15 04:55 | yes | 0 | 43 s |
Normalization in this category
Every judgment call made between the raw labels and the numbers above, listed so it is visible and reversible.
ShowHide
Category-scoped readings
Google (Looker) read as Looker Studio
Microsoft (Power BI) read as Microsoft Power BI
Oracle read as Oracle Analytics
Qlik read as Qlik Sense
Qlik Cloud read as Qlik Sense
Unresolved, counted raw
Autobound.ai
IBM Cognos Classic
Legacy IBM Cognos
Legacy OBIEE
Metabase self-hosted
Microsoft Power BI with Microsoft Fabric (F64+ Capacity)
Older MicroStrategy
SAS Visual Analytics
Tableau Embedded
Discontinued, still offered
No shut-down product was recommended here.