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Data quality and observability · November 2026 Edition

Metaplane vs Soda

Six of fourteen models named Metaplane first on the direct prompt; one named Soda. Both were named by all fourteen models and Metaplane carries 35 labels and Soda 46, so the shares are not directly comparable.

Metaplane

accepted challenger

Named in three categories this edition.

Soda

accepted challenger

Named in one category this edition.

First-choice share23%10%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate11%17%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#1#3A position in a field of 14; printed, not drawn.
Labels3546A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Metaplane reading right to left. Rank and label count are printed, not drawn.Monte Carlo was named alongside these two in nine of the fourteen direct answers. Metaplane vs Monte Carlo · Metaplane vs Soda Core · Metaplane vs Great Expectations

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; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the data quality and observability page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
MetaplaneFirst choices, of fourteen modelsSoda
Direct611 against Soda
Paraphrase13
Comparative001 against Soda
Budget-constrained51
Scale-constrained00
Negative004 against Metaplane · 6 against Soda
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Across every category in the November 2026 Edition, Metaplane and Soda were named in the same answer seventy-six times, of the 112 answers naming Metaplane and the 133 naming Soda. In those answers Soda took the first choice four times and Metaplane twenty-six.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Metaplane and Soda stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
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
Muse Glimmer 30B
Metaplane Soda first choice named as an alternative argued againstblank: not namedEach cell is one answer, Metaplane on the left and Soda on the right.

The direct prompt

The plain question, one answer per model, grouped by where Metaplane and Soda stood in it.

Metaplane first, Soda an alternative

6 of 14 modelsSoda was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Metaplane, New Relic alternatives: Monte Carlo, Motadata ObserveOps
GPT-5.4 miniMetaplane alternatives: Monte Carlo
Gemini 3.5 FlashMetaplane alternatives: Bigeye, Elementary Data, Monte Carlo
Perplexity SonarMetaplane alternatives: Elementary, Monte Carlo, Soda
Grok 4.20Metaplane alternatives: Bigeye, Datadog Observability, Soda
Kimi K2Metaplane alternatives: Bigeye, Soda

Soda first, Metaplane not the choice

1 of 14 modelsMetaplane was named in the answer but not as the choice, or not at all.
GPT-6 LunaSoda alternatives: Datadog Data Observability, Monte Carlo

Neither was the first choice, one was named

4 of 14 modelsThe answer put something else first and named one of the two as an alternative.
DeepSeek V4 FlashMonte Carlo alternatives: Metaplane, Sifflet
Qwen 3.7 FlashMonte Carlo alternatives: Bigeye, Datadog Data Observability, Soda
MiniMax M2.5Monte Carlo alternatives: Acceldata, DQLabs, Metaplane, Soda
Muse Glimmer 30BBigeye alternatives: Acceldata, DQLabs, Metaplane, Soda

Neither was named

3 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallDatadog Data Observability, New Relic alternatives: IBM Instana
Llama 4 Maverickno first choice
GLM 4.7 FlashXMonte Carlo alternatives: Bigeye, Sifflet

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Metaplane leads by twenty-seven points.
Metaplane40%#1 of 11
Soda13%#2 of 11
The full small business standing →
Mid-marketThe figures above
Metaplane leads by thirteen points.
Metaplane23%#1 of 14
Soda10%#3 of 14
The full mid-market standing →
Enterprise
Level: the same share of first choices.
Metaplane0%#15 of 15
Soda0%#8 of 15
The full enterprise standing →

What the models said about Metaplane

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.

“A standalone Metaplane purchase — check exactly what you're being sold... verify the contract, roadmap, support, and migration path” GPT-6 Luna · negative prompt · soft negative
“Be cautious if you want vendor independence, predictable pricing, or a standalone data-quality roadmap.” Perplexity Sonar · negative prompt · soft negative
“Metaplane: Acquired by Datadog in 2025. History shows acquired tools often lose focus, increase prices” Kimi K2 · negative prompt · soft negative
“my default recommendation is Metaplane if you want the best balance of speed to value, lower operational overhead, and strong fit for lean data teams” GPT-5.4 mini · direct prompt · first choice
“Overall best for most budget-constrained companies: Metaplane's free tier is the strongest "real" data observability platform” DeepSeek V4 Flash · budget prompt · first choice
“Metaplane (now part of Datadog) stands out as the best data observability platform for most mid-market B2B companies” Grok 4.20 · direct prompt · first choice

What the models said about Soda

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.

“Learning curve for non-coders (YAML-based checks can feel technical), and it's not always a full end-to-end replacement for broader tools” Grok 4.20 · negative prompt · soft negative
“Soda is a rule-based data quality assertion tool - well-suited for dbt workflows but not a full operational pipeline.” Muse Glimmer 30B · comparative prompt · soft negative
“often praised for flexibility, but you should be cautious if you don't want to own a rules/config-heavy workflow” GPT-5.4 mini · negative prompt · soft negative
“For most mid-sized B2B companies, I'd recommend Soda as the starting point” Perplexity Sonar · paraphrase prompt · first choice
“start with Soda Free or Metaplane free tier, and Integrate.io's 3 free alerts” Muse Glimmer 30B · budget prompt · first choice
“Soda is highlighted as the budget-friendly start for mid-sized orgs” Muse Glimmer 30B · paraphrase prompt · first choice
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.