Data quality and observability for small business buyers
Asked as “data observability platform”, and as “data quality tool”, on behalf of a small B2B company. 67 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 · Soda 9%
31Metaplane09Soda06Cleanlist54others
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 small B2B company. Ordered by share.
ProductFirst-choice shareNegative rateLabelsQuadrant
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.
For buyers
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
08
09
10
11Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative50%
Key
01Metaplane31%
Metaplane31%02Soda9%
Soda9%03Soda Core4%
Soda Core4%04Monte Carlo4%
Monte Carlo4%05Grafana Cloud3%
Grafana Cloud3%06Decube3%
Decube3%07Elementary1%
Elementary1%08Great Expectations1%
Great Expectations1%09Bigeye1%
Bigeye1%10Anomalo0%
Anomalo0%11Datadog0%
Datadog0%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 Carlo72%
33 of 46 labels negative · 12 of 14 models · 11 hard negative
“High-Cost Enterprise Platforms (Generally Avoid for Small Teams) ... Monte Carlo | Premium pricing; entry-level enterprise contracts start ~$120K/year” Kimi K2, negative prompt
Bigeye52%
17 of 33 labels negative · 11 of 14 models · 6 hard negative
“What to avoid (at your budget) - **Monte Carlo, Bigeye, Anomalo** — Pricing often starts at $50k+/year. Overkill.” DeepSeek V4 Flash, budget prompt
Anomalo60%
12 of 20 labels negative · 7 of 14 models · 5 hard negative
“What to avoid (at your budget) - **Monte Carlo, Bigeye, Anomalo** — Pricing often starts at $50k+/year. Overkill.” DeepSeek V4 Flash, budget prompt
Ataccama ONE100%
6 of 6 labels negative · 6 of 14 models · 4 hard negative
“**Why avoid it:** ... Too complex for simple data quality needs.” 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
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. 1023 links across 241 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 · Atlan45 answers · 53 citations · 12 models
vendor site · G244 answers · 70 citations · 13 models
vendor site · G228 answers · 29 citations · 12 models
26 answers · 26 citations · 10 models
vendor site · Metaplane24 answers · 31 citations · 11 models
22 answers · 22 citations · 8 models
vendor site · Integrate.io16 answers · 17 citations · 9 models
vendor site · Uptrace16 answers · 17 citations · 10 models
vendor site · Prospeo16 answers · 16 citations · 9 models
16 answers · 16 citations · 10 models
vendor site · Guideflow14 answers · 15 citations · 8 models
vendor site · Airbyte13 answers · 13 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.
39 answers · 12 models
28 answers · 12 models
25 answers · 10 models
21 answers · 8 models
16 answers · 9 models
15 answers · 10 models
12 answers · 10 models
12 answers · 7 models
12 answers · 8 models
12 answers · 8 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 4% | 13% | 97 | 165,000 | 348,802 | 1,651 | $401 | 9 | |
| Insycle insycle.com | 6% | 12 | 480 | 4 | 13,246 | |||
| Cleanlist cleanlist.ai | 6% | 12 | 1,900 | 0 | 16,279 | 3 | ||
| Monte Carlo montecarlo.ai | 4% | 148 | 135,000 | 23,412 | 24,468 | |||
| Elementary elementary-data.com Elementary OSS 3%, Elementary 1% | 4% | 37 | 110,000 | 185,714 | 1,028 | |||
| Grafana Cloud grafana.com | 3% | 174 | 2,400 | 40 | 84,520 | 116 | ||
| Decube decube.io | 3% | 21 | 90 | 27 | 3,575 | 1 | ||
| WinPure Clean & Match winpure.com | 3% | 9 | 0 | 3,248 | 6 | |||
| Site24x7 site24x7.com | 3% | 214 | 1,300 | 61 | 174,542 | $522 | 120 |
Google's top ten for the three searches hold 19 sites; 3 of them are among the sites the models cited here (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 small B2B company?”Paraphrase“Which data quality tool would you recommend to a small business that sells to other businesses?”Comparative“What are the top data quality and observability platforms for a small team and how do they differ?”Budget-constrained“What is the best data observability platform for a small company with a tight budget?”Scale-constrained“We are a 30 person company evaluating a data observability platform. What should we look at?”Negative“Which data quality and observability platforms should a small business avoid or be cautious about?”
Claude Haiku 4.5MetaplaneInsycle, OpporaChangedMetaplaneagainst: Acceldata, Monte CarloSodano first choiceagainst: Acceldata, Anomalo, Bigeye, Informatica Intelligent Data Management Cloud, Monte Carlo, SAS
Three alternatives
Bigeye, Pantomath, SYNQThree alternatives
DemandTools, Great Expectations, TalendFour alternatives
Anomalo, Elementary, Pantomath, SodaFour alternatives
Elementary, Great Expectations, Metaplane, PantomathGPT-5.4 miniDash0, Metaplaneagainst: Bigeye, Monte CarloSodaChangedGX Core, Great Expectations, SodaGX Core, Soda Coreagainst: Bigeye, Monte Carlono first choiceagainst: Bigeye, IBM Databand, Informatica Data Quality & Observability, Monte Carlo, Soda
Two alternatives
HubSpot Data Hub, InsycleOne alternative
dbt testsOne alternative
SodaGemini 3.5 FlashMetaplaneagainst: Anomalo, Great Expectations, Monte Carlo, Soda CoreInsycleChangedagainst: Ataccama ONE, AtlanElementaryagainst: Anomalo, Great Expectations, Monte CarloElementary OSSagainst: Decube, Monte CarloMetaplaneagainst: Anomalo, Monte Carloagainst: Acceldata, Anomalo, Great Expectations Cloud, IBM Databand, Monte Carlo
Two alternatives
Elementary Data, SYNQSix alternatives
Apollo.io, Clay, Dedupely, HubSpot Operations Hub, NeverBounce, ZeroBounceThree alternatives
Datafold, Metaplane, SodaTwo alternatives
Metaplane, Soda CoreTwo alternatives
Elementary OSS, Soda CorePerplexity SonarMetaplaneagainst: Dash0WinPure Clean & MatchChangedGreat Expectations, SodaMetaplaneagainst: Uptraceno first choicenothing named
Two alternatives
Bigeye, DecubeTwo alternatives
DQE One, UpLeadThree alternatives
Anomalo, Atlan, OpenMetadataTwo alternatives
Bigeye, Site24x7Grok 4.1 FastSodaagainst: Datadog, Monte CarloCleanlistChangedMetaplane, SodaMetaplaneagainst: Datadog, Monte Carlo, SplunkMetaplane, Monte Carloagainst: Acceldata, Great Expectationsagainst: Anomalo, Ataccama ONE, Bigeye, Dynatrace, Informatica Data Quality, Monte Carlo, New Relic
Three alternatives
Bigeye, Elementary, MetaplaneTwo alternatives
OpenRefine, WinPure Clean & MatchTwo alternatives
Great Expectations, Monte CarloThree alternatives
Grafana Cloud, SigNoz, ZabbixThree alternatives
Bigeye, Datafold, SodaMistral SmallDecube, MetaplaneWinPure Clean & MatchChangedMetaplane, Sodaagainst: Microsoft Purview, Splunk Observability CloudDecube, Metaplaneagainst: Site24x7no first choiceagainst: Anomalo, Bigeye, Collibra Data Quality & Observability, Great Expectations, Monte Carlo
Two alternatives
Datadog, Site24x7Two alternatives
Grafana Cloud, Great ExpectationsTwo alternatives
SigNoz, UptraceDeepSeek V4 FlashMetaplaneCleanlistChangedagainst: Informatica Intelligent Data Management Cloud, ZoomInfoMetaplaneagainst: Monte CarloMetaplaneagainst: Anomalo, Bigeye, Datadog, Monte Carlo, New Relic, SodaDatafold, Metaplane, Sodaagainst: Bigeye, Great Expectations, Monte Carloagainst: Ataccama ONE, Datadog, IBM InfoSphere QualityStage, Informatica Data Quality, Monte Carlo, SAS Data Quality, Splunk Observability Cloud
Two alternatives
Monte Carlo, SodaFour alternatives
Apollo.io, DemandTools, HubSpot Data Hub, InsycleFive alternatives
Decube, Elementary, Great Expectations, Soda, dbt testsTwo alternatives
Elementary, Soda CoreOne alternative
ElementaryLlama 4 MaverickSite24x7CleanlistChangedDecube, MetaplaneSite24x7Uptraceagainst: Bigeye
Two alternatives
Atlan, OpenObserveTwo alternatives
DemandTools, ProspeoOne alternative
DQLabsThree alternatives
Grafana Cloud, SigNoz, UptraceTwo alternatives
Grafana + Prometheus, New RelicQwen 3.7 FlashMetaplaneagainst: Informatica Intelligent Data Management Cloud, Monte CarloApollo.io, NeverBounceChangedagainst: Informatica Intelligent Data Management Cloud, TalendMetaplaneagainst: Great Expectations, dbt testsMetaplaneagainst: Datadog, Monte Carlono first choiceagainst: Datadog Data Observability, Great Expectations, Monte Carloagainst: Alation, Apache Airflow, Atlan, Bigeye, Great Expectations, Informatica Intelligent Data Management Cloud, Monte Carlo
Three alternatives
Databand, Great Expectations, SodaThree alternatives
HubSpot, Salesforce native apps, ZeroBounceTwo alternatives
Bigeye, DecubeFive alternatives
Elementary, Grafana Cloud, Great Expectations, OpenObserve, SigNozOne alternative
Tonic.aiKimi K2Metaplaneagainst: Anomalo, Bigeye, Monte CarloDedupely, Duplicate CheckChangedagainst: Cognism, IBM InfoSphere QualityStage, ZoomInfoMetaplane, Sodaagainst: Bigeye, Monte CarloElementary, Grafana CloudMetaplane, Monte Carloagainst: Anomalo, Bigeye, Datadog, Monte Carlo
Three alternatives
Grafana Cloud, Great Expectations, SodaFour alternatives
Cleanlist, HubSpot, OpenRefine, SalesforceOne alternative
Great ExpectationsThree alternatives
Metaplane, SigNoz, SodaThree alternatives
Grafana Cloud, New Relic, SigNozGLM 4.7 FlashXMetaplane, SodaCleanSmart, Data8ChangedGreat Expectations, Sodaagainst: Monte CarloSodaagainst: Monte CarloBigeye, Monte Carloagainst: Datadogagainst: Ataccama ONE, Datadog, Dynatrace, IBM InfoSphere QualityStage, Informatica Intelligent Data Management Cloud
Four alternatives
Anomalo, Datafold, Great Expectations, Monte CarloTwo alternatives
Great Expectations, Soda CoreThree alternatives
Atlan, Metaplane, dbtTwo alternatives
Great Expectations, MetaplaneOne alternative
AtlanMiniMax M2.5MetaplaneCleanlist, ProspeoChangedDatafold, Great Expectationsagainst: Monte CarloGrafana Cloud, SigNozno first choiceagainst: Alation, Ataccama ONE, Bigeye, Collibra Data Quality & Observability, Databand, Informatica Intelligent Data Management Cloud, Monte Carlo
One alternative
Grafana CloudTwo alternatives
Data8, WinPure Clean & MatchOne alternative
ElementaryThree alternatives
New Relic, Site24x7, UptraceGPT-6 LunaMetaplaneInsycleChangedElementary, Metaplane, SodaElementary OSSno first choiceagainst: Acceldata, Bigeye, Monte Carlo
One alternative
ElementaryOne alternative
HubSpotTwo alternatives
Anomalo, Monte CarloOne alternative
SodaMuse Glimmer 30BMetaplane, Soda Coreagainst: Bigeye, Monte CarloInsycleChangedDecube, Metaplaneagainst: Anomalo, Monte CarloGreat Expectations, Soda Coreagainst: Datadogno first choiceagainst: Anomalo, Ataccama ONE, Bigeye, Collibra Data Quality & Observability, Datadog, Dynatrace, Monte Carlo, Splunk Observability Cloud
Three alternatives
Decube, Great Expectations, ZabbixTwo alternatives
HubSpot Data Hub, WinPure Clean & MatchSeven alternatives
Bigeye, DQLabs, Great Expectations, Mammoth Analytics, MetricsWatch, Secoda, SodaFour alternatives
Elementary, Grafana Cloud, OpenObserve, SigNozBold 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 01:54 | yes | 9 | 7 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 01:34 | yes | 4 | 5 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:44 | yes | 7 | 19 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-10-04 22:27 | yes | 18 | 3 s |
| Direct recommendation | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:53 | yes | 20 | 10 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:07 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:27 | yes | 25 | 45 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:40 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:24 | no | 0 | 29 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:57 | yes | 20 | 21 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 01:38 | yes | 14 | 38 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:57 | yes | 12 | 22 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-10-05 01:02 | yes | 2 | 9 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 01:32 | yes | 15 | 22 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:58 | yes | 10 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 01:22 | yes | 2 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-04 23:40 | yes | 12 | 20 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-10-04 22:15 | yes | 17 | 2 s |
| Paraphrase | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:56 | yes | 22 | 7 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:21 | yes | 5 | 3 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 01:46 | yes | 24 | 28 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 22:16 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:41 | no | 0 | 22 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:42 | yes | 12 | 49 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:23 | yes | 20 | 38 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 00:47 | yes | 5 | 17 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-10-05 01:22 | yes | 3 | 13 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:04 | yes | 11 | 12 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 23:50 | yes | 9 | 10 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:39 | yes | 5 | 6 s |
| Comparative | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:18 | yes | 13 | 31 s |
| Comparative | Perplexity Sonar | sonar | 2026-10-05 00:48 | yes | 19 | 4 s |
| Comparative | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:48 | yes | 22 | 10 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-10-04 23:17 | yes | 10 | 7 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:18 | yes | 24 | 45 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 00:57 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:53 | yes | 13 | 46 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:45 | yes | 18 | 52 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:30 | yes | 25 | 151 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:01 | yes | 19 | 30 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:18 | yes | 6 | 18 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:45 | yes | 15 | 26 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 01:44 | yes | 9 | 7 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 01:31 | yes | 4 | 6 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:22 | yes | 15 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-10-05 01:19 | yes | 18 | 3 s |
| Budget constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 23:58 | yes | 22 | 8 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 01:03 | yes | 5 | 4 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:35 | yes | 23 | 29 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 01:54 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 01:52 | yes | 14 | 42 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 22:27 | yes | 19 | 27 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:38 | yes | 24 | 33 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-05 01:22 | yes | 8 | 27 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-10-04 22:50 | yes | 3 | 16 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:21 | yes | 14 | 19 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-04 22:10 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 00:17 | no | 0 | 11 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 00:35 | yes | 12 | 30 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-10-05 01:15 | yes | 17 | 6 s |
| Scale constrained | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-04 22:54 | yes | 15 | 10 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 01:22 | no | 0 | 7 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-04 23:19 | yes | 25 | 64 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-04 23:56 | yes | 5 | 2 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-04 23:10 | no | 0 | 34 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-05 00:43 | yes | 13 | 20 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-05 00:42 | yes | 22 | 284 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:04 | no | 0 | 8 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:06 | yes | 3 | 23 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 01:48 | no | 0 | 2 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-10-05 00:58 | yes | 18 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-10-05 01:32 | yes | 3 | 6 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.5-flash | 2026-10-05 01:10 | yes | 13 | 25 s |
| Negative framing | Perplexity Sonar | sonar | 2026-10-05 00:40 | yes | 25 | 4 s |
| Negative framing | Grok 4.1 Fast | spacexai/grok-4.1-fast-non-reasoning via vertex | 2026-10-05 00:48 | yes | 21 | 10 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-10-05 00:51 | yes | 10 | 7 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-10-05 00:45 | yes | 25 | 40 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-10-05 01:25 | yes | 5 | 11 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-10-05 00:26 | yes | 15 | 60 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-10-04 23:52 | yes | 22 | 39 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-10-04 22:11 | yes | 25 | 79 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-10-04 23:13 | yes | 20 | 59 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-10-05 00:21 | yes | 5 | 17 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-10-05 00:59 | yes | 14 | 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.
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
Bamboo Data
CleanSmart
Clearbit
Duplicate Check
Gable
Great Expectations Cloud (GX Cloud)
HubSpot Operations Hub
Melissa
MetricsWatch
Oppora
Salesforce native apps
Stacia
UpLead
Discontinued, still offered
No shut-down product was recommended here.