One of fourteen models named Redpanda first on the direct prompt; one named Apache Kafka. Both were named by all fourteen models and Redpanda carries 54 labels and Apache Kafka 51, so the shares are not directly comparable.
Named in one category this edition.
Named in three categories 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 streaming platforms page.
Across every category in the November 2026 Edition, Redpanda and Apache Kafka were named in the same answer ninety-eight times, of the 153 answers naming Redpanda and the 163 naming Apache Kafka. In those answers Apache Kafka took the first choice twenty times and Redpanda eighteen.
| Model | Direct | Paraphrase | Comparative | Budget-constrained | Scale-constrained | Negative |
|---|---|---|---|---|---|---|
| Claude Haiku 4.5 | ||||||
| GPT-5.4 mini | ||||||
| Gemini 3.5 Flash | ||||||
| Perplexity Sonar | ||||||
| Grok 4.20 | ||||||
| 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 |
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. Six of eight in this category shown.
“Review the license carefully if you plan to build a service on top of it or depend on enterprise features.” GPT-6 Luna · negative prompt · soft negative
“Apache Kafka (including Confluent Cloud, MSK, Redpanda, etc.) ... Can become complex to operate at scale” GLM 4.7 FlashX · negative prompt · soft negative
“check its documented compatibility limits against your specific Kafka features and clients” GPT-6 Luna · comparative prompt · soft negative
“Redpanda Cloud: Kafka-compatible, C++ architecture (no Java JVM tuning), ultra-fast performance, simple operations, cost-effective for high throughput.” Gemini 3.5 Flash · scale prompt · first choice
“Needs Kafka API + Lowest Infra Cost | Redpanda (Community) | Saves up to 60–80% on compute vs Kafka; no JVM.” Gemini 3.5 Flash · budget prompt · first choice
“Aiven or Redpanda – These are often cited as the best choices for small to mid-market companies” Mistral Small · 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.
“Avoid Self-Hosting Kafka: The total cost of ownership (TCO) of engineer hours spent troubleshooting Kafka brokers... far exceeds the cost of a managed vendor.” Gemini 3.5 Flash · direct prompt · hard negative
“Why cautious/avoid: Extremely high operational complexity—requires deep expertise in clustering, KRaft mode, tuning, monitoring, scaling, and disaster recovery.” Grok 4.20 · negative prompt · soft negative
“Caution Due to Operational Complexity: Apache Kafka (and Confluent)... You shouldn't necessarily "avoid" it, but you must be extremely cautious.” Qwen 3.7 Flash · negative prompt · soft negative
“Apache Kafka (self-managed or open-source) is generally the best event streaming platform for a company with a limited budget.” Grok 4.20 · budget prompt · first choice
“The open-source standard for durable, replayable event streams... You want control, portability, and a widely used foundation” GPT-6 Luna · comparative prompt · first choice
“Apache Kafka (The Industry Standard) ... Choose Kafka if you need the most mature ecosystem, highest throughput ceiling” Kimi K2 · comparative 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.