Four of fourteen models named Tonic.ai first on the direct prompt; five named Oracle Data Masking and Subsetting. Tonic.ai was named by ten of the fourteen models and Oracle Data Masking and Subsetting by ten and Tonic.ai carries 20 labels and Oracle Data Masking and Subsetting 22, 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 masking and test data management page.
Across every category in the October 2026 Edition, Tonic.ai and Oracle Data Masking and Subsetting were named in the same answer fifteen times, of the 49 answers naming Tonic.ai and the 69 naming Oracle Data Masking and Subsetting. In those answers Oracle Data Masking and Subsetting took the first choice two times and Tonic.ai two.
| 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 |
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.
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Three of four in this category shown.
“If your focus is DevOps, test data, and engineering: Evaluate developer-friendly tools like Tonic.ai, DataMasque, or Autonoma.” Gemini 3.5 Flash · scale prompt · first choice
“For broader/multi-cloud B2B use, Tonic.ai stands out for affordability, modern UI, and high G2-like reviews for mid-market teams.” Grok 4.1 Fast · direct prompt · first choice
“Start with Tonic.ai. Their free tier allows you to test masking capabilities immediately without cost.” GLM 4.7 FlashX · direct prompt · first choice
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of seven in this category shown.
“Oracle Data Masking and Subsetting is native to Oracle Enterprise Manager and only sensible if your estate is Oracle. Using it outside Oracle adds integration risk and limited coverage.” Muse Glimmer 30B · negative prompt · soft negative
“Best only if you're already an Oracle shop; not flexible for non-Oracle databases” DeepSeek V4 Flash · negative prompt · soft negative
“Great if locked-in, but can't handle hybrid/multi-cloud without extras.” Grok 4.1 Fast · negative prompt · soft negative
“I'd suggest starting with Oracle Data Masking and Subsetting if you're in an Oracle environment, or Delphix if you have a multi-database environment” MiniMax M2.5 · direct prompt · first choice
“Oracle Data Masking and Subsetting is the best pick from these results for a typical mid-market B2B company” Perplexity Sonar · direct prompt · first choice
“Start with Oracle Data Masking if you're in an Oracle ecosystem—explicitly called best for mid-size enterprises” Grok 4.1 Fast · direct prompt · first choice
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.