Soda vs Elementary
One of fourteen models named Soda first on the direct prompt; zero named Elementary. Soda was named by fourteen of the fourteen models and Elementary by eight and Soda carries 42 labels and Elementary 15, so the shares are not directly comparable.
Named in one category this edition.
Named in one category this edition.
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
SodaFirst choices, of fourteen modelsElementary
Across every category in the October 2026 Edition, Soda and Elementary were named in the same answer twenty-four times, of the 106 answers naming Soda and the 37 naming Elementary. In those answers Elementary took the first choice four times and Soda four.
Every model, every framing
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| 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 | | | ||||
| Muse Glimmer 30B | | | |
Soda Elementary first choice named as an alternative argued againstblank: not namedEach cell is one answer, Soda on the left and Elementary on the right.The direct prompt
Soda first, Elementary not the choice
1 of 14 modelsElementary was named in the answer but not as the choice, or not at all.Neither was the first choice, one was named
5 of 14 modelsThe answer put something else first and named one of the two as an alternative.Neither was named
8 of 14 modelsThe answer made no first choice from these two in this category.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
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 seven in this category shown.
“Why be cautious: if you plan to stay on Soda Core open-source, assess ongoing support and feature parity; Soda Cloud pricing and roadmap are not self-serve” Muse Glimmer 30B · negative prompt · soft negative
“License change risk... Not full observability... Limited out-of-the-box metrics.” DeepSeek V4 Flash · negative prompt · soft negative
“Soda might require more upfront effort to configure tests” Claude Haiku 4.5 · negative prompt · soft negative
“Soda is often the better default because mid-sized teams usually benefit from faster adoption and built-in observability” GPT-5.4 mini · paraphrase prompt · first choice
“I'd shortlist Soda. It offers checks and monitoring across common warehouses and databases” GPT-6 Luna · paraphrase prompt · first choice
“best value choice is usually Great Expectations (GX Core) or Soda Free/open-source first” GPT-5.4 mini · budget prompt · first choice
What the models said about Elementary
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“Start with Metaplane's free tier or Elementary (open source) if you use dbt” Kimi K2 · budget prompt · first choice
“Small Team / Startup | Elementary, Metaplane” Qwen 3.7 Flash · negative prompt · first choice
“Built specifically for dbt users. It automates data quality testing inside your existing dbt workflows.” Qwen 3.7 Flash · budget prompt · alternative
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.