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Streaming platforms · November 2026 Edition

Redpanda vs Apache Kafka

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.

Redpanda

accepted challenger

Named in one category this edition.

Apache Kafka

criticized challenger

Named in three categories this edition.

First-choice share7%7%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate7%33%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#3A position in a field of 12; printed, not drawn.
Labels5451A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Redpanda reading right to left. Rank and label count are printed, not drawn.Confluent Cloud was named alongside these two in eleven of the fourteen direct answers. Confluent Cloud vs Redpanda · Confluent Cloud vs Apache Kafka · Redpanda vs Google Cloud Pub/Sub

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.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
RedpandaFirst choices, of fourteen modelsApache Kafka
Direct112 against Apache Kafka
Paraphrase00
Comparative0111 against Redpanda
Budget-constrained234 against Apache Kafka
Scale-constrained102 against Apache Kafka
Negative113 against Redpanda · 9 against Apache Kafka
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, 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.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Redpanda and Apache Kafka 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
Redpanda Apache Kafka first choice named as an alternative argued againstblank: not namedEach cell is one answer, Redpanda on the left and Apache Kafka on the right.

The direct prompt

The plain question, one answer per model, grouped by where Redpanda and Apache Kafka stood in it.

Redpanda first, Apache Kafka not the choice

1 of 14 modelsApache Kafka was named in the answer but not as the choice, or not at all.
Mistral SmallAiven for Apache Kafka, Redpanda alternatives: Airmeet, Livestorm, Sequel

Apache Kafka first, Redpanda not the choice

1 of 14 modelsRedpanda was named in the answer but not as the choice, or not at all.
Claude Haiku 4.5Apache Kafka alternatives: Aiven for Apache Kafka, Amazon Kinesis Data Streams, Confluent Cloud

Neither was the first choice, one was named

8 of 14 modelsThe answer put something else first and named one of the two as an alternative.
GPT-5.4 miniConfluent Cloud alternatives: Apache Kafka, Redpanda
Gemini 3.5 FlashConfluent Cloud alternatives: AWS EventBridge, Aiven for Apache Kafka, Amazon Kinesis Data Streams, Google Cloud Pub/Sub, Redpanda, Upstash Kafka
Perplexity SonarConfluent Cloud alternatives: Amazon Kinesis Data Streams, Azure Event Hubs, Bizzabo, Estuary, Redpanda
Grok 4.20Confluent Cloud alternatives: Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub, Redpanda
DeepSeek V4 FlashConfluent Cloud alternatives: Aiven for Apache Kafka, Amazon MSK, Redpanda
Kimi K2Demio alternatives: Confluent Cloud, Contrast, Goldcast, Livestorm, Redpanda
GPT-6 LunaConfluent Cloud alternatives: Amazon MSK, Redpanda
Muse Glimmer 30BConfluent Cloud alternatives: Redpanda

Neither was named

4 of 14 modelsThe answer made no first choice from these two in this category.
Llama 4 MaverickAirmeet alternatives: Goldcast, Livestorm
Qwen 3.7 FlashConfluent Cloud alternatives: Amazon Kinesis Data Streams, Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub
GLM 4.7 FlashXConfluent Cloud alternatives: Amazon MSK, Apache Pulsar, Google Cloud Pub/Sub
MiniMax M2.5Bizzabo alternatives: Livestorm, ON24

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
Redpanda leads by twenty-five points.
Redpanda26%#2 of 13
Apache Kafka2%#9 of 13
The full small business standing →
Mid-marketThe figures above
Level: the same share of first choices.
Redpanda7%#2 of 12
Apache Kafka7%#3 of 12
The full mid-market standing →
Enterprise
The order flips: Apache Kafka leads at enterprise.
Apache Kafka8%#2 of 9
Redpanda2%#4 of 9
The full enterprise standing →

What the models said about Redpanda

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

What the models said about Apache Kafka

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
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.