Data quality and observability
Asked as “data observability platform”, and as “data quality tool”, on behalf of a mid-market B2B company. 64 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the October 2026 Edition on October 4, 2026; its answers are read by the distilled judge (ai-indexes-judge-qwen3-14b-run3), not the claude-opus-5 judge of the earlier categories: how the two compare.
Standing · first-choice share
31%
Contested · Cleanlist 9%
31Metaplane09Cleanlist09Soda50others
31% of first choices, contested.
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 fourteen models, for a mid-market B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrantSince September 2026
Show the three products at 0%, ordered by negative rate
09
Informatica Intelligent Data Management Cloud0%55%11criticized challengernewNew since September 2026: not ranked then, 0% now.
Informatica Intelligent Data Management Cloud0%55%11criticized challengernewNew since September 2026: not ranked then, 0% now.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.
All fifteen head-to-head pages: the top six products, each against each
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 →
01
02
03
04
05
06
07
0809Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Metaplane31%
Metaplane31%02Soda9%
Soda9%03Monte Carlo6%
Monte Carlo6%04Bigeye3%
Bigeye3%05Great Expectations2%
Great Expectations2%06Elementary2%
Elementary2%07Anomalo0%
Anomalo0%08Acceldata0%
Acceldata0%09Informatica Intelligent Data Management Cloud0%
Informatica Intelligent Data Management Cloud0%What they warned about
Zero of fourteen models held their first choice under the paraphrase. Claude Haiku 4.5, GPT-5.4 mini, Gemini 3.5 Flash, Perplexity Sonar, Grok 4.1 Fast, Mistral Small, DeepSeek V4 Flash, Llama 4 Maverick, Qwen 3.7 Flash, Kimi K2, GLM 4.7 FlashX, MiniMax M2.5, GPT-6 Luna and Muse Glimmer 30B 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.
Monte Carlo47%
25 of 53 labels negative · 11 of 14 models · 5 hard negative
“Monte Carlo ... Noisy alerts ... Complex configuration ... Best avoided if: You need precise, actionable alerts or have limited resources” GLM 4.7 FlashX, negative prompt
Bigeye23%
8 of 35 labels negative · 7 of 14 models
“Why be cautious: integration gaps for non-standard stacks, workspace management overhead, and enterprise-only quote pricing.” Muse Glimmer 30B, negative prompt
Anomalo24%
6 of 25 labels negative · 5 of 14 models · 1 hard negative
“**Avoid** jumping straight to Monte Carlo, Anomalo, or Informatica” DeepSeek V4 Flash, paraphrase prompt
Great Expectations16%
6 of 37 labels negative · 5 of 14 models · 1 hard negative
“Data Quality Platforms to Avoid or Be Cautious About ... Great Expectations (OSS Version) ... Best avoided if: You need real-time monitoring, have large datasets” GLM 4.7 FlashX, 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
79 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. 1107 links across 256 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 · Atlan41 answers · 50 citations · 12 models
vendor site · G231 answers · 63 citations · 13 models
29 answers · 30 citations · 10 models
vendor site · Metaplane24 answers · 33 citations · 10 models
24 answers · 28 citations · 9 models
vendor site · G223 answers · 23 citations · 11 models
vendor site · Basedash20 answers · 20 citations · 10 models
vendor site · Airbyte19 answers · 21 citations · 10 models
17 answers · 19 citations · 6 models
vendor site · Decube16 answers · 17 citations · 7 models
vendor site · Motadata16 answers · 16 citations · 9 models
vendor site · Acceldata15 answers · 21 citations · 10 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.
31 answers · 11 models
26 answers · 10 models
23 answers · 9 models
22 answers · 11 models
17 answers · 10 models
16 answers · 9 models
12 answers · 8 models
11 answers · 8 models
11 answers · 6 models
11 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 data observability platform”, “data observability platform”, “data quality and observability platforms”. 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 |
|---|---|---|---|---|---|---|---|---|
| Metaplane metaplane.dev | 31% | 101 | 590 | 12 | 4,698 | 8 | ||
| Soda soda.io Soda 9%, Soda Core 2% | 11% | 97 | 165,000 | 348,802 | 1,651 | $401 | 9 | |
| Cleanlist cleanlist.ai | 9% | 12 | 1,900 | 0 | 16,279 | 3 | ||
| Insycle insycle.com | 6% | 12 | 480 | 4 | 13,246 | |||
| Monte Carlo montecarlo.ai | 6% | 148 | 135,000 | 23,412 | 24,468 | |||
| Grafana Loki grafana.com Grafana Cloud 5%, Grafana Loki 2% | 6% | 174 | 2,400 | 40 | 84,520 | 116 | ||
| Bigeye bigeye.com | 3% | 99 | 33,100 | 618 | 9,473 | $18,069 | 4 | 5 |
| New Relic newrelic.com | 3% | 629 | 14,800 | 843 | 83,276 | $412 | 89 | |
| Zabbix zabbix.com | 3% | 279 | 12,100 | 992 | 18,850 | 3 | ||
| Elementary elementary-data.com Elementary 2%, Elementary OSS 2% | 3% | 37 | 110,000 | 185,714 | 1,028 |
Google's top ten for the three searches hold 19 sites; 4 of them are among the sites the models cited here (acceldata.io, datamation.com, g2.com, metaplane.dev). The first result for “best data observability platform” 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 data observability platform for a mid-market B2B company?”Paraphrase“Which data quality tool would you recommend to a mid-sized B2B company?”Comparative“What are the top data quality and observability platforms and how do they differ?”Budget-constrained“What is the best data observability platform for a company with a limited budget?”Scale-constrained“We are a 500 person company evaluating a data observability platform. What should we look at?”Negative“Which data quality and observability platforms should I avoid or be cautious about?”
Claude Haiku 4.5Monte Carlono first choiceChangedMonte Carloagainst: Great ExpectationsGrafana Cloud, New Relicno first choiceagainst: Acceldata, Anomalo, Monte Carlo, Soda
Two alternatives
Bigeye, New RelicFour alternatives
Anomalo, Bigeye, Soda, ValidioThree alternatives
Great Expectations, Soda, ZabbixGPT-5.4 miniMonte Carlo, SodaSodaChangedBigeye, Monte CarloGreat Expectations, Sodaagainst: Monte Carlono first choicenothing named
Two alternatives
Acceldata, BigeyeOne alternative
Great ExpectationsFour alternatives
Collibra Data Quality & Observability, Great Expectations, Informatica Data Observability, SodaGemini 3.5 FlashMetaplaneagainst: Monte CarloInsycle, MetaplaneChangedagainst: Monte CarloMonte CarloDataObservability.ai, Elementary Data, Metaplaneagainst: Anomalo, Bigeye, Monte CarloMetaplaneagainst: Monte Carloagainst: Acceldata, Anomalo, Great Expectations, IBM InfoSphere Information Server, Informatica Data Quality, Monte Carlo, Soda Core, Talend
Two alternatives
Elementary, SodaTwo alternatives
Soda, SyncariSix alternatives
Acceldata, Anomalo, Elementary, Great Expectations, IBM Databand, SodaFive alternatives
AnomalyArmor, GX Core, Great Expectations, Soda Core, TestGenTwo alternatives
Great Expectations, SodaPerplexity SonarMetaplaneagainst: Monte CarloAtlanChangedno first choiceZabbixagainst: Bigeye, Monte Carlono first choicenothing named
One alternative
BigeyeTwo alternatives
DQE One, Data8Two alternatives
Grafana Cloud, SigNozGrok 4.1 FastMetaplaneagainst: Datadog, SplunkInsycleChangedagainst: DemandToolsMonte Carloagainst: IBM InfoSphereSodaagainst: Datadog, Monte Carlono first choiceagainst: Ataccama ONE, Bigeye, Elastic, Metaplane, Monte Carlo, Rakuten SixthSense, Soda.io, groundcover
One alternative
Monte CarloFour alternatives
Cleanlist, Cloudingo, Data8, RingLeadFive alternatives
Anomalo, Datafold, Informatica Intelligent Data Management Cloud, Metaplane, SodaTwo alternatives
Elementary, Great ExpectationsMistral SmallMetaplaneCleanlist, InsycleChangedno first choiceGrafana Cloud, OpenObserve, SigNozagainst: Datadog, Dynatrace, Splunk Observability Cloudno first choiceagainst: Anomalo, Bigeye, Monte Carlo
Two alternatives
Atlan, WinPure Clean & MatchTwo alternatives
New Relic, Site24x7DeepSeek V4 FlashMetaplaneagainst: Great Expectations, Monte CarloSodaChangedagainst: Anomalo, Ataccama ONE, Informatica Intelligent Data Management Cloud, Monte CarloMonte CarloMetaplaneMonte Carloagainst: Great Expectations, Informatica Intelligent Data Management Cloud, Monte Carlo, Soda, Talend
One alternative
SodaTwo alternatives
Apollo.io, ClearoutEight alternatives
Anomalo, Ataccama ONE, Bigeye, Collibra Data Quality, Great Expectations, Informatica Data Quality, Metaplane, SodaTwo alternatives
Great Expectations, SodaFive alternatives
Anomalo, Bigeye, DQLabs, Metaplane, SodaLlama 4 MaverickMetaplane, New RelicCleanlistChangedno first choiceZabbixno first choicenothing named
Four alternatives
Bigeye, DQE One, IBM InfoSphere QualityStage, InsycleQwen 3.7 FlashMetaplaneagainst: Monte CarloCleanlist, InsycleChangedagainst: Validity DemandToolsMonte CarloMetaplaneno first choiceagainst: Acceldata, Alation, Bigeye, Collibra Data Quality & Observability, Great Expectations, Informatica Intelligent Data Management Cloud, Monte Carlo, Soda Core
Two alternatives
Great Expectations, SodaFive alternatives
Atlan, Cognism, Great Expectations, ZoomInfo, dbtFour alternatives
Acceldata, DataKitchen, Great Expectations, SodaFour alternatives
Elementary, Great Expectations, New Relic, SodaKimi K2Metaplaneagainst: Acceldata, Monte CarloSoda DataChangedagainst: Ataccama ONE, Collibra Data Quality & Observability, Informatica Intelligent Data Management Cloud, Monte CarloMetaplane, Monte Carloagainst: Collibra Data Quality & Observability, Informatica Intelligent Data Management Cloud, SAS Data QualityElementary, Metaplaneno first choiceagainst: Bigeye, Databand.ai, Kensu, Metaplane, Monte Carlo
Two alternatives
Bigeye, SodaFour alternatives
Great Expectations, Metaplane, Talend Data Quality, dbt testsFive alternatives
Anomalo, Ataccama ONE, Bigeye, Elementary, SodaTwo alternatives
DataObservability.ai, SodaGLM 4.7 FlashXMetaplaneCleanlistChangedagainst: Talend Data QualityGreat Expectationsagainst: Alteryx, Informatica Data QualityGrafana Cloud, Grafana Loki, Metaplane, Netdata, Tempoagainst: Monte Carlono first choiceagainst: Great Expectations, Monte Carlo
Three alternatives
Anomalo, Bigeye, Monte CarloOne alternative
DemandToolsSix alternatives
Bigeye, Elementary, Monte Carlo, Sifflet, Soda, dbt testsThree alternatives
Elementary, Site24x7, UptraceMiniMax M2.5MetaplaneCleanlistChangedagainst: Informatica Intelligent Data Management Cloud, Talend Data Qualityno first choiceMetaplaneMonte Carlo, Siffletnothing named
Two alternatives
Bigeye, Monte CarloOne alternative
QuerySurgeFive alternatives
Bigeye, Datadog Quality Monitoring, Great Expectations, Monte Carlo, Soda CoreTwo alternatives
Great Expectations, SodaGPT-6 LunaMetaplaneSodaChangedno first choiceElementary OSSno first choiceagainst: Soda Hosted Agent
Two alternatives
Monte Carlo, SodaOne alternative
dbtOne alternative
MetaplaneMuse Glimmer 30BBigeye, Metaplaneagainst: Monte CarloCleanlistChangedagainst: IBM InfoSphere QualityStageGreat Expectations, Monte Carlo, Soda CoreGreat Expectations Core, Soda Coreagainst: Bigeye, Monte CarloBigeyeagainst: Anomalo, Bigeye, Monte Carlo, Soda
Three alternatives
DemandTools, Informatica Intelligent Data Management Cloud, Melissa Data Quality SuiteSeven alternatives
Anomalo, Bigeye, Collibra Data Quality & Observability, Elementary, Metaplane, OvalEdge, dbt testsTwo alternatives
Metaplane, SparviFive alternatives
AnomalyArmor, Elementary, Metaplane, Monte Carlo, SodaBold 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 | 2026-10-05 00:47 | yes | 10 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-04 23:55 | yes | 4 | 7 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:16 | yes | 20 | 33 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 22:31 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:22 | yes | 20 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 22:53 | yes | 5 | 3 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:14 | yes | 17 | 27 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:45 | yes | 5 | 2 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:55 | yes | 9 | 37 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:47 | yes | 15 | 18 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 23:56 | yes | 22 | 21 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 01:34 | yes | 15 | 33 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-05 01:57 | yes | 3 | 10 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 23:08 | yes | 23 | 29 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 01:43 | no | 0 | 4 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 01:57 | yes | 2 | 4 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:08 | yes | 13 | 23 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-05 01:22 | yes | 18 | 4 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:44 | yes | 23 | 11 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:43 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 01:14 | yes | 22 | 87 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:42 | yes | 5 | 2 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:17 | yes | 9 | 26 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:55 | yes | 25 | 27 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:07 | yes | 13 | 32 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 01:35 | yes | 5 | 35 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-04 23:45 | yes | 2 | 12 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 01:42 | yes | 15 | 15 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:03 | yes | 17 | 12 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:02 | yes | 8 | 10 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:45 | yes | 19 | 29 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-05 00:31 | yes | 20 | 5 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:40 | yes | 24 | 14 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:44 | yes | 10 | 5 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:08 | yes | 23 | 73 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:14 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:58 | yes | 5 | 34 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 01:49 | yes | 20 | 24 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:01 | yes | 25 | 91 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:23 | yes | 15 | 29 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:24 | yes | 10 | 32 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-04 22:30 | yes | 15 | 32 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:14 | yes | 17 | 9 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 01:47 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:46 | yes | 14 | 26 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-05 00:15 | yes | 19 | 4 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:51 | yes | 22 | 9 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:18 | yes | 15 | 8 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 22:22 | yes | 22 | 20 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 01:36 | yes | 5 | 2 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:29 | yes | 9 | 23 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:44 | yes | 19 | 21 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:33 | yes | 24 | 180 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 01:52 | yes | 13 | 22 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-05 01:35 | yes | 2 | 12 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:24 | yes | 15 | 18 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:21 | yes | 9 | 10 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:01 | yes | 5 | 9 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:18 | no | 0 | 16 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-04 23:58 | yes | 17 | 5 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:40 | yes | 17 | 8 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:32 | no | 0 | 10 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:00 | yes | 23 | 74 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:42 | yes | 5 | 3 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 22:56 | no | 0 | 24 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:25 | yes | 20 | 27 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:48 | yes | 13 | 24 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:24 | yes | 5 | 19 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:29 | yes | 3 | 19 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:56 | yes | 15 | 24 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 01:56 | yes | 17 | 8 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:45 | yes | 4 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 22:29 | yes | 23 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-05 00:03 | yes | 19 | 5 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:13 | yes | 22 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 01:13 | yes | 5 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 01:11 | yes | 25 | 62 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:59 | yes | 5 | 4 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:40 | yes | 20 | 71 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 01:55 | yes | 25 | 22 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:47 | yes | 25 | 76 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 22:51 | no | 0 | 9 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:17 | yes | 2 | 24 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:58 | yes | 25 | 29 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
Ataccama read as Ataccama ONE
Collibra read as Collibra Data Quality & Observability
Grafana read as Grafana Cloud
Informatica read as Informatica Intelligent Data Management Cloud
WinPure read as WinPure Clean & Match
Unresolved, counted raw
Acceldata Data Observability Cloud (ADOC)
Apache Griffin
Bruin
Clearout
Cloudingo
Databand.ai
Datadog Quality Monitoring
Fivetran Teleport
Great Expectations Core
IBM Data Observability by Databand
Informatica Data Observability
Kensu
Melissa Data Quality Suite
Precisely Trillium
QualityStage
QuerySurge
RingLead
Soda Data
Soda Hosted Agent
Soda.io
SodaCL
TestGen
Validity DemandTools
ZoomInfo Operations
Discontinued, still offered
No shut-down product was recommended here.