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. 60 first choices recorded across the direct, paraphrase, budget and scale prompts, fourteen models each. Added to the November 2026 Edition.
Standing · first-choice share
40%
Contested · Soda 13%
40Metaplane13Soda10Insycle37others
40% of first choices, contested.
Since October 2026▲+9Since October 2026: 31% → 40%, +9 points. Inside the 11-point floor: within noise.Metaplane held the lead, +9 points on 31%, inside the 11-point floor.
By buyer segment
The same question asked on behalf of a different buyer. Each standing is computed within its segment; they sit side by side and are never added together.
Small business
Metaplane40%Contested▲+9Since October 2026: 31% → 40%, +9 points. Inside the 11-point floor: within noise.This pageMid-marketMetaplane23%Contested▼−8Since October 2026: 31% → 23%, −8 points. Inside the 11-point floor: within noise.Standing →Enterprise
Monte Carlo43%Clear leader▲+2Since October 2026: 41% → 43%, +2 points. Inside the 11-point floor: within noise.Standing →
Metaplane40%Contested▲+9Since October 2026: 31% → 40%, +9 points. Inside the 11-point floor: within noise.This pageMid-marketMetaplane23%Contested▼−8Since October 2026: 31% → 23%, −8 points. Inside the 11-point floor: within noise.Standing →EnterpriseMonte Carlo43%Clear leader▲+2Since October 2026: 41% → 43%, +2 points. Inside the 11-point floor: within noise.Standing →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 rateLabelsQuadrantSince October 2026
01Metaplane40%5%58endorsed leader▲+9Since October 2026: 31% → 40%, +9 points. Inside the 11-point floor: within noise.31% → 40%
Metaplane40%5%58endorsed leader▲+9Since October 2026: 31% → 40%, +9 points. Inside the 11-point floor: within noise.31% → 40%02
Soda13%8%52accepted challenger▲+4Since October 2026: 9% → 13%, +4 points. Inside the 11-point floor: within noise.9% → 13%
Soda13%8%52accepted challenger▲+4Since October 2026: 9% → 13%, +4 points. Inside the 11-point floor: within noise.9% → 13%03
Elementary5%4%24accepted challenger▲+4Since October 2026: 1% → 5%, +4 points. Inside the 11-point floor: within noise.1% → 5%
Elementary5%4%24accepted challenger▲+4Since October 2026: 1% → 5%, +4 points. Inside the 11-point floor: within noise.1% → 5%04
Great Expectations3%19%37accepted challenger▲+2Since October 2026: 1% → 3%, +2 points. Inside the 11-point floor: within noise.1% → 3%
Great Expectations3%19%37accepted challenger▲+2Since October 2026: 1% → 3%, +2 points. Inside the 11-point floor: within noise.1% → 3%05Monte Carlo3%72%57criticized challenger▼−1Since October 2026: 4% → 3%, −1 point. Inside the 11-point floor: within noise.4% → 3%
Monte Carlo3%72%57criticized challenger▼−1Since October 2026: 4% → 3%, −1 point. Inside the 11-point floor: within noise.4% → 3%06
Grafana Cloud2%10%20accepted challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 11-point floor: within noise.3% → 2%
Grafana Cloud2%10%20accepted challenger▼−1Since October 2026: 3% → 2%, −1 point. Inside the 11-point floor: within noise.3% → 2%07
New Relic2%42%12criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%
New Relic2%42%12criticized challenger▲+2Since October 2026: 0% → 2%, +2 points. Inside the 11-point floor: within noise.0% → 2%08
Bigeye2%55%38criticized challenger▲+1Since October 2026: 1% → 2%, +1 point. Inside the 11-point floor: within noise.1% → 2%
Bigeye2%55%38criticized challenger▲+1Since October 2026: 1% → 2%, +1 point. Inside the 11-point floor: within noise.1% → 2%Show the three products at 0%, ordered by negative rate
10
Acceldata0%100%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Acceldata0%100%12criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%11Datadog Data Observability0%71%24criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
09
Anomalo0%64%22criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%
Anomalo0%64%22criticized challenger=heldSince October 2026: 0% → 0%, ±0 points. Inside the 11-point floor: within noise.0% → 0%The floor is 11 points of share, measured: how far the models move a leader on their own when the same questions are asked twice with nothing changed. A larger change is movement; a smaller one can't be told apart from repeat variation, and both are shown. Each index measures its own floor from its own repeat, over its own categories, so the floor differs from one index to the next. Both editions asked the same fourteen models. How the floor is measured
Bars are the share of first choices, 0 to 100Every product with at least 10 labels here. Every product name links to its product page.
For buyers
Head to headHead-to-head pages are published for mid-market buyers, so these open on mid-market figures, not small business.
All twenty-eight head-to-head pages: the top eight products, each against each
Metaplane vs Great ExpectationsMetaplane vs BigeyeMetaplane vs ElementaryMetaplane vs Ataccama ONEMonte Carlo vs SodaMonte Carlo vs Soda CoreMonte Carlo vs Great ExpectationsMonte Carlo vs BigeyeMonte Carlo vs ElementaryMonte Carlo vs Ataccama ONESoda vs Soda CoreSoda vs Great ExpectationsSoda vs BigeyeSoda vs ElementarySoda vs Ataccama ONESoda Core vs Great ExpectationsSoda Core vs BigeyeSoda Core vs ElementarySoda Core vs Ataccama ONEGreat Expectations vs BigeyeGreat Expectations vs ElementaryGreat Expectations vs Ataccama ONEBigeye vs ElementaryBigeye vs Ataccama ONEElementary vs Ataccama ONE
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 →
01020304050607080910D11
Accepted challengerEndorsed leader
0%First-choice share → · lines at 30% share and 25% negative60%
Key
01Metaplane40%
Metaplane40%02Soda13%
Soda13%03Elementary5%
Elementary5%04Great Expectations3%
Great Expectations3%05Monte Carlo3%
Monte Carlo3%06Grafana Cloud2%
Grafana Cloud2%07New Relic2%
New Relic2%08Bigeye2%
Bigeye2%09Anomalo0%
Anomalo0%10Acceldata0%
Acceldata0%11Datadog Data Observability0%
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 4.20, 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%
41 of 57 labels negative · 13 of 14 models · 9 hard negative
“Small businesses should generally avoid Monte Carlo and Acceldata due to their enterprise focus and complexity.” Mistral Small, negative prompt
Bigeye55%
21 of 38 labels negative · 12 of 14 models · 4 hard negative
“Quote-based per-table pricing... "Bigeye $80,000 to $180,000 Per table"... costs explode” Muse Glimmer 30B, negative prompt
Datadog Data Observability
71%
17 of 24 labels negative · 10 of 14 models · 9 hard negative
“77% negative rate in small business evaluations; users consistently report "rapidly escalating costs and high subscription fees"” MiniMax M2.5, negative prompt
Anomalo64%
14 of 22 labels negative · 6 of 14 models · 3 hard negative
“Avoid for Small Teams: Monte Carlo, Anomalo, Acceldata, Bigeye, or Collibra” Grok 4.20, comparative prompt
What they cite
Fourteen of the fourteen models returned a source list in this edition: five return the pages they cited and nine the search results they consulted.
Sites the answers cite
73 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. 834 links across 213 sites, every framing counted. Ranked by the number of answers carrying the site or page. 20 of the 252 answers across every segment cited this index's own page for the category; the method page measures whether that reading tilts an answer.
vendor site · G249 answers · 99 citations · 13 models
26 answers · 26 citations · 10 models
vendor site · Atlan25 answers · 26 citations · 11 models
vendor site · DataKitchen19 answers · 36 citations · 8 models
vendor site · Metaplane16 answers · 26 citations · 9 models
14 answers · 14 citations · 8 models
vendor site · Monte Carlo13 answers · 17 citations · 9 models
13 answers · 16 citations · 6 models
13 answers · 14 citations · 7 models
13 answers · 13 citations · 8 models
13 answers · 13 citations · 8 models
10 answers · 10 citations · 6 models
Pages the answers cite
The ten pages named in the most answers, by full address. A page here is one the models returned with a recommendation, not one the index endorses.
26 answers · 10 models
24 answers · 11 models
22 answers · 10 models
14 answers · 8 models
13 answers · 8 models
12 answers · 8 models
12 answers · 7 models
11 answers · 10 models
11 answers · 7 models
10 answers · 6 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 | 40% | 108 | 590 | 12 | 4,698 | 8 | ||
| Soda soda.io Soda 13%, Soda Core 2% | 15% | 124 | 165,000 | 348,802 | 1,651 | $401 | 9 | |
| Insycle insycle.com | 10% | 14 | 480 | 4 | 13,246 | |||
| Elementary elementary-data.com Elementary 5%, Elementary Data 3% | 8% | 42 | 110,000 | 185,714 | 1,028 | |||
| HubSpot hubspot.com HubSpot Data Hub 5% | 5% | 8 | 368,000 | 9,776 | 2,276,428 company | $83,922 | 76 | |
| Melissa Data Quality Suite | 5% | |||||||
| Great Expectations greatexpectations.io | 3% | 85 | 60,500 | 4,980 | 793 | 0 | ||
| Monte Carlo montecarlo.ai | 3% | 160 | 135,000 | 23,412 | 24,468 | |||
| Grafana Cloud grafana.com | 2% | 183 | 2,400 | 40 | 84,520 | 116 | ||
| ZoomInfo Operations zoominfo.com | 2% | 9 | 20 | 0 | 6,376,738 | $1,140 | 120 |
Google's top ten for the three searches hold 19 sites; 5 of them are among the sites the models cited here (datakitchen.io, g2.com, getorchestra.io, metaplane.dev, reddit.com). 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 4.5no first choiceMelissa Data Quality SuiteChangedMetaplaneMetaplaneno first choiceagainst: Bigeye, Collibra Data Quality & Observability, Datadog Data Observability, Monte Carlo, New Relic, Soda Data
Three alternatives
Ataccama ONE, Metaplane, OpenRefineFive alternatives
Bigeye, Coalesce Quality, Elementary, Monte Carlo, SodaThree alternatives
OpenObserve, Sifflet, SodaGPT-5.4 miniMetaplaneagainst: Monte CarloGreat ExpectationsChangedSodaagainst: Anomalo, Monte CarloGreat Expectations, Sodaagainst: Bigeye, IBM Databand, Monte Carlono first choiceagainst: Acceldata, Anomalo, Bigeye, IBM Databand, Informatica Data Quality & Observability, Monte Carlo
One alternative
BigeyeOne alternative
OpenRefineTwo alternatives
Bigeye, Great ExpectationsGemini 3.5 FlashMetaplaneagainst: Anomalo, Monte CarloInsycleChangedElementary Data, Metaplaneagainst: Acceldata, Monte CarloElementary Dataagainst: Acceldata, Anomalo, Great Expectations, Monte CarloElementary Data, Metaplaneagainst: Acceldata, Anomalo, Databand, Monte Carloagainst: Acceldata, Alation, Anomalo, Bigeye, Collibra Data Quality & Observability, Databand, IBM InfoSphere QualityStage, Informatica Data Quality, Monte Carlo
Three alternatives
Datafold, Elementary Data, SodaFive alternatives
Apollo.io, HubSpot Breeze, NeverBounce, OpenRefine, ZeroBounceThree alternatives
Datifold, Great Expectations, SodaTwo alternatives
Metaplane, SodaPerplexity SonarMetaplaneagainst: Grafana Cloud, Monte Carlo, New RelicMelissa Data Quality SuiteChangedMetaplane, Sodaagainst: Monte CarloMetaplaneagainst: Datadog Data Observability, SigNozno first choiceagainst: Acceldata, Ataccama ONE, Bigeye, Collibra Data Quality & Observability, Datadog Data Observability, IBM Databand, Informatica Intelligent Data Management Cloud, Metaplane, Monte Carlo, Soda
Two alternatives
Elementary, SodaFive alternatives
Cognism, Great Expectations, Soda, WinPure Clean & Match, ZoomInfo OperationsOSFour alternatives
Anomalo, Atlan Data Quality Studio, Elementary, Great ExpectationsTwo alternatives
Grafana Cloud, New RelicGrok 4.20Sodaagainst: Acceldata, Datadog Data Observability, Dynatrace, New Relic, SiffletMelissa Data Quality SuiteChangedagainst: Informatica Intelligent Data Management Cloud, OpenRefine, SAS ViyaElementary, Sodaagainst: Acceldata, Anomalo, Bigeye, Collibra Data Quality & Observability, Informatica Intelligent Data Management Cloud, Monte CarloGrafana Cloudagainst: Anomalo, Datadog Data Observability, IBM Databand, Monte Carlo, New RelicMonte Carlo, Sodaagainst: Acceldata, Collibra Data Quality & Observabilityagainst: Acceldata, Anomalo, Bigeye, Great Expectations, Monte Carlo, Sifflet
Three alternatives
Elementary, Great Expectations, Monte CarloThree alternatives
HubSpot Data Hub, Insycle, Traction CompleteThree alternatives
Datafold, Great Expectations, MetaplaneThree alternatives
Apica Ascent, OpenTelemetry, PrometheusTwo alternatives
Bigeye, Great ExpectationsMistral SmallMetaplaneagainst: Bigeye, Elementary, Monte CarloHubSpot Data Hub, ZoomInfo OperationsChangedMetaplane, Sodaagainst: Datadog Data Observability, Monte CarloMetaplane, Sodano first choiceagainst: Acceldataagainst: Acceldata, Bigeye, Great Expectations, Monte Carlo
Three alternatives
Grafana Cloud, Soda, Soda CoreOne alternative
OpenRefineTwo alternatives
Grafana Cloud, SigNozTwo alternatives
Grafana Cloud, New RelicDeepSeek V4 FlashMetaplaneagainst: Bigeye, Datadog Data Observability, Monte CarloInsycleChangedagainst: OpenRefineMetaplane, Sodaagainst: Monte CarloElementary, Metaplane, Sodaagainst: Datadog Data ObservabilityElementaryagainst: Anomalo, Bigeye, Monte Carlo, Sodaagainst: Acryl Data, Anomalo, Bigeye, Datadog Data Observability, Dynatrace, IBM Databand, Monte Carlo
One alternative
SodaOne alternative
ProspeoTwo alternatives
Elementary, Great ExpectationsOne alternative
OpenObserveThree alternatives
DataKitchen, Great Expectations, Soda CoreLlama 4 MaverickMetaplaneno first choiceChangedno first choiceMetaplaneno first choicenothing named
Three alternatives
New Relic, Prometheus + Grafana, UptraceThree alternatives
Bigeye, Grafana Cloud, UptraceQwen 3.7 FlashMetaplaneInsycleChangedMetaplaneagainst: Great Expectations, Monte CarloNew Relicno first choiceagainst: Bigeye, Great Expectations, Monte Carlo, Soda Coreagainst: Anomalo, Bigeye, Dash0, Datadog Data Observability, Great Expectations, IBM Databand, Informatica Intelligent Data Management Cloud, Monte Carlo, Oracle Cloud Infrastructure (OCI) Data Services
Two alternatives
Elementary Data, SodaFour alternatives
HubSpot Data Hub, Melissa Data Quality Suite, Prospeo, ZoomInfo OperationsOne alternative
SodaFive alternatives
Elementary Data, Grafana Cloud, SigNoz, Soda, Soda CoreKimi K2Metaplaneagainst: BigeyeInsycleChangedMetaplaneagainst: Datadog Data Observability, Great Expectations, Monte CarloElementaryagainst: Bigeye, Datadog Data Observability, Monte Carlo, Soda CoreBigeye, Metaplaneagainst: Informatica Intelligent Data Management Cloud, Monte Carlo, Qlik, Talend
Two alternatives
Elementary, SodaThree alternatives
HubSpot CRM, OpenRefine, WinPure Small Business EditionThree alternatives
Bigeye, Elementary, SodaFour alternatives
DataOps TestGen, Grafana Cloud, Metaplane, SigNozThree alternatives
Great Expectations, Monte Carlo, SodaGLM 4.7 FlashXMetaplane, Sodaagainst: Monte CarloWinPure Clean & MatchChangedMetaplane, Sodaagainst: DataKitchen TestGen, Datadog Data Observability, Monte CarloSoda Coreagainst: Datadog Data Observability, Monte CarloMetaplane, Sodaagainst: Ataccama ONE, Collibra Data Quality & Observability, Grafana Cloud, IBM InfoSphere, Informatica Cloud Data Quality, Monte Carlo Data
Two alternatives
Bigeye, Datadog Data ObservabilityFive alternatives
DataBlist, HubSpot Data Hub, Insycle, OpenRefine, ProspeoFour alternatives
Datafold, Elementary, Great Expectations, dbt testsTwo alternatives
OpenObserve, groundcoverThree alternatives
Bigeye, Great Expectations, Monte CarloMiniMax M2.5Metaplane, Monte CarloHubSpot Data Hub, ZeroBounceChangedMetaplane, Sodaagainst: Anomalo, Bigeye, Monte CarloMetaplaneagainst: Datadog Data Observability, Dynatrace, New Relic, Sodano first choiceagainst: Anomalo, Bigeye, Datadog Data Observability, Monte Carlo
Two alternatives
Grafana Cloud, SodaTwo alternatives
Clearout, DatabeneFive alternatives
Datafold, Elementary, Great Expectations, Sifflet, dbt testsOne alternative
Great ExpectationsGPT-6 LunaMetaplaneagainst: Monte CarloHubSpot Data Hub, InsycleChangedElementary, Soda, dbt testsagainst: Monte CarloMetaplaneMetaplaneagainst: Monte Carloagainst: Bigeye, Metaplane, Monte Carlo, Soda, Soda Core
Three alternatives
Datadog Data Observability, Elementary, SodaOne alternative
DedupelyTwo alternatives
Datadog Data Observability, Great ExpectationsOne alternative
ElementaryTwo alternatives
Elementary, SodaMuse Glimmer 30BMetaplaneagainst: Monte CarloInsycleChangedMetaplane, Sodaagainst: Bigeye, Monte CarloMetaplane, Sodano first choiceagainst: Ataccama ONE, Bigeye, Datadog Data Observability, Informatica Intelligent Data Management Cloud, Metaplane, Monte Carlo
Three alternatives
Bigeye, Elementary, SodaThree alternatives
Dedupely, Metaplane, ProspeoTwo alternatives
Elementary, Great ExpectationsTwo alternatives
DataKitchen DataOps Observability / DataOps TestGen, Monte Carlo StartBold is the first choiceAlternatives are counted; the count opens them.What the answer argued against
The record
One row per call: the version string exactly as returned, whether the model searched, sources cited, and latency.
Eighty-four rows: every prompt, every model, every answer.
| Prompt | Model | Version string | Time (UTC) | Searched | Sources | Latency |
|---|---|---|---|---|---|---|
| Direct recommendation | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 16:18 | no | 0 | 4 s |
| Direct recommendation | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 12:39 | yes | 2 | 4 s |
| Direct recommendation | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:13 | no | 0 | 15 s |
| Direct recommendation | Perplexity Sonar | sonar | 2026-11-01 11:01 | yes | 10 | 4 s |
| Direct recommendation | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:02 | yes | 5 | 16 s |
| Direct recommendation | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 17:08 | yes | 5 | 4 s |
| Direct recommendation | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:01 | yes | 21 | 23 s |
| Direct recommendation | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 10:10 | yes | 5 | 3 s |
| Direct recommendation | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:02 | yes | 10 | 47 s |
| Direct recommendation | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 10:59 | yes | 24 | 31 s |
| Direct recommendation | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 18:30 | yes | 15 | 57 s |
| Direct recommendation | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 10:30 | yes | 5 | 51 s |
| Direct recommendation | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:58 | yes | 5 | 16 s |
| Direct recommendation | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 15:36 | yes | 13 | 17 s |
| Paraphrase | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 11:38 | yes | 9 | 8 s |
| Paraphrase | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 14:04 | yes | 4 | 5 s |
| Paraphrase | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:14 | no | 0 | 11 s |
| Paraphrase | Perplexity Sonar | sonar | 2026-11-01 17:40 | yes | 10 | 3 s |
| Paraphrase | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 17:05 | yes | 5 | 6 s |
| Paraphrase | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 10:38 | yes | 5 | 4 s |
| Paraphrase | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 12:18 | yes | 23 | 23 s |
| Paraphrase | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:41 | yes | 5 | 3 s |
| Paraphrase | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 10:16 | yes | 5 | 25 s |
| Paraphrase | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 14:30 | yes | 15 | 48 s |
| Paraphrase | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 11:10 | yes | 10 | 85 s |
| Paraphrase | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:41 | no | 0 | 9 s |
| Paraphrase | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:27 | yes | 3 | 11 s |
| Paraphrase | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 13:08 | yes | 20 | 30 s |
| Comparative | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 13:11 | yes | 16 | 14 s |
| Comparative | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 11:12 | yes | 5 | 9 s |
| Comparative | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 10:18 | yes | 3 | 23 s |
| Comparative | Perplexity Sonar | sonar | 2026-11-01 09:04 | yes | 10 | 6 s |
| Comparative | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 13:59 | yes | 10 | 17 s |
| Comparative | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:04 | yes | 10 | 8 s |
| Comparative | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:15 | yes | 24 | 44 s |
| Comparative | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 15:09 | yes | 5 | 2 s |
| Comparative | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 15:07 | yes | 14 | 35 s |
| Comparative | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 17:18 | yes | 20 | 61 s |
| Comparative | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 08:36 | yes | 25 | 40 s |
| Comparative | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 09:20 | yes | 25 | 67 s |
| Comparative | GPT-6 Luna | gpt-6-luna | 2026-11-01 16:48 | yes | 5 | 21 s |
| Comparative | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 16:09 | yes | 15 | 31 s |
| Budget constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 19:25 | yes | 9 | 8 s |
| Budget constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 10:03 | yes | 3 | 4 s |
| Budget constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:33 | yes | 13 | 24 s |
| Budget constrained | Perplexity Sonar | sonar | 2026-11-01 19:00 | yes | 10 | 3 s |
| Budget constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:41 | yes | 5 | 10 s |
| Budget constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 19:18 | yes | 5 | 5 s |
| Budget constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 19:09 | yes | 21 | 40 s |
| Budget constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:43 | yes | 5 | 3 s |
| Budget constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 16:20 | yes | 5 | 33 s |
| Budget constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 18:54 | yes | 15 | 25 s |
| Budget constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 16:17 | yes | 24 | 78 s |
| Budget constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 16:21 | yes | 10 | 32 s |
| Budget constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 09:52 | yes | 2 | 8 s |
| Budget constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 10:02 | yes | 14 | 26 s |
| Scale constrained | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 19:32 | no | 0 | 6 s |
| Scale constrained | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 16:52 | no | 0 | 6 s |
| Scale constrained | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 11:04 | no | 0 | 15 s |
| Scale constrained | Perplexity Sonar | sonar | 2026-11-01 14:40 | yes | 10 | 6 s |
| Scale constrained | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 16:15 | yes | 13 | 19 s |
| Scale constrained | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 11:05 | no | 0 | 6 s |
| Scale constrained | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 17:58 | yes | 23 | 41 s |
| Scale constrained | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 13:50 | yes | 5 | 4 s |
| Scale constrained | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 14:57 | no | 0 | 26 s |
| Scale constrained | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 16:50 | yes | 9 | 81 s |
| Scale constrained | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 18:31 | yes | 15 | 93 s |
| Scale constrained | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 14:50 | no | 0 | 15 s |
| Scale constrained | GPT-6 Luna | gpt-6-luna | 2026-11-01 10:16 | yes | 5 | 16 s |
| Scale constrained | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 19:44 | yes | 14 | 22 s |
| Negative framing | Claude Haiku 4.5 | claude-haiku-4-5-20251001 | 2026-11-01 15:34 | yes | 19 | 11 s |
| Negative framing | GPT-5.4 mini | gpt-5.4-mini-2026-03-17 | 2026-11-01 08:50 | yes | 2 | 5 s |
| Negative framing | Gemini 3.5 Flash | gemini-3.6-flash (asked for gemini-3.5-flash; the API answered as this version) | 2026-11-01 18:47 | no | 0 | 19 s |
| Negative framing | Perplexity Sonar | sonar | 2026-11-01 09:20 | yes | 10 | 5 s |
| Negative framing | Grok 4.20 | spacexai/grok-4.20-non-reasoning via xai | 2026-11-01 14:34 | yes | 19 | 15 s |
| Negative framing | Mistral Small | mistral/mistral-small via mistral | 2026-11-01 09:51 | yes | 5 | 5 s |
| Negative framing | DeepSeek V4 Flash | deepseek/deepseek-v4-flash via deepinfra | 2026-11-01 11:08 | yes | 23 | 33 s |
| Negative framing | Llama 4 Maverick | meta/llama-4-maverick via bedrock | 2026-11-01 11:28 | yes | 5 | 2 s |
| Negative framing | Qwen 3.7 Flash | alibaba/qwen3.7-flash via alibaba | 2026-11-01 08:47 | yes | 5 | 36 s |
| Negative framing | Kimi K2 | moonshotai/kimi-k2 via novita | 2026-11-01 18:47 | yes | 22 | 48 s |
| Negative framing | GLM 4.7 FlashX | zai/glm-4.7-flashx via zai | 2026-11-01 18:12 | yes | 24 | 32 s |
| Negative framing | MiniMax M2.5 | minimax/minimax-m2.5 via minimax | 2026-11-01 18:10 | yes | 25 | 45 s |
| Negative framing | GPT-6 Luna | gpt-6-luna | 2026-11-01 13:40 | yes | 4 | 25 s |
| Negative framing | Muse Glimmer 30B | meta/muse-glimmer-30b via togetherai | 2026-11-01 09:24 | yes | 15 | 30 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
Collibra read as Collibra Data Quality & Observability
Datadog read as Datadog Data Observability
Grafana read as Grafana Cloud
HubSpot read as HubSpot Data Hub
HubSpot (Free Tier) read as HubSpot Data Hub
IBM Data Observability by Databand read as IBM Databand
Informatica read as Informatica Intelligent Data Management Cloud
Soda.io read as Soda
WinPure read as WinPure Clean & Match
ZoomInfo read as ZoomInfo Operations
Unresolved, counted raw
Atlan Data Quality Studio
Bouncer
Clearout
DataBlist
DataKitchen DataOps Observability / DataOps TestGen
DataObservability
Databene
Datifold
MobyDQ
Monte Carlo Start
Oppora
Oracle Cloud Infrastructure (OCI) Data Services
Soda Data
WinPure Small Business Edition
Discontinued, still offered
No shut-down product was recommended here.