Streaming platforms · October 2026 Edition
Redpanda vs Apache Pulsar
Five of fourteen models named Redpanda first on the direct prompt; zero named Apache Pulsar. Redpanda was named by thirteen of the fourteen models and Apache Pulsar by thirteen and Redpanda carries 51 labels and Apache Pulsar 33, so the shares are not directly comparable.
Named in two categories this edition.
Named in two categories this edition.
First-choice share21%2%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate2%21%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#2#7A position in a field of 11; printed, not drawn.
Labels5133A 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 nine of the fourteen direct answers. Confluent Cloud vs Redpanda · Confluent Cloud vs Apache Pulsar · Redpanda vs Apache Kafka
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 Pulsar
Direct50
Paraphrase10
Comparative00
Budget-constrained41
Scale-constrained201 against Apache Pulsar
Negative101 against Redpanda · 6 against Apache Pulsar
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 October 2026 Edition, Redpanda and Apache Pulsar were named in the same answer fifty-eight times, of the 140 answers naming Redpanda and the 83 naming Apache Pulsar. In those answers Apache Pulsar took the first choice one time and Redpanda seven.
Every model, every framing
The eighty-four answers behind the chart above, one cell each: where Redpanda and Apache Pulsar stood in it.
| 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 | | | | |
Redpanda Apache Pulsar first choice named as an alternative argued againstblank: not namedEach cell is one answer, Redpanda on the left and Apache Pulsar on the right.The direct prompt
The plain question, one answer per model, grouped by where Redpanda and Apache Pulsar stood in it.
Redpanda first, Apache Pulsar an alternative
5 of 14 modelsApache Pulsar was named in the answer but not as the choice, or not at all.Gemini 3.5 FlashRedpanda alternatives: Confluent Cloud, Demio, Goldcast, Livestorm, WarpStream
DeepSeek V4 FlashRedpanda alternatives: Amazon Kinesis Data Streams, Confluent Cloud
Qwen 3.7 FlashConfluent Cloud, Redpanda alternatives: Amazon MSK, Azure Event Hubs, Google Cloud Pub/Sub
MiniMax M2.5Aiven for Apache Kafka, Redpanda alternatives: Apache Flink, Google Cloud Dataflow, Google Cloud Pub/Sub, Restream, WebEx
Muse Glimmer 30BApache Kafka, Confluent Cloud, Redpanda alternatives: Amazon MSK, Apache Pulsar, Azure Event Hubs, Google Cloud Pub/Sub, Vimeo Livestream, YouTube Live
Neither was the first choice, one was named
3 of 14 modelsThe answer put something else first and named one of the two as an alternative.Grok 4.1 FastConfluent Cloud alternatives: Amazon Kinesis Data Streams, Google Cloud Pub/Sub, Redpanda
Kimi K2Confluent Cloud alternatives: Amazon Kinesis Data Streams, Redpanda
GPT-6 LunaConfluent Cloud alternatives: Amazon MSK, Azure Event Hubs, Redpanda
Neither was named
6 of 14 modelsThe answer made no first choice from these two in this category.Claude Haiku 4.5Dacast alternatives: Accelevents, Bizzabo, Goldcast, Virtual PRO
GPT-5.4 miniAzure Event Hubs alternatives: Amazon Kinesis Data Streams, Apache Kafka, Confluent Cloud
Perplexity SonarBizzabo alternatives: Dacast
Mistral SmallMicrosoft Teams Live Events, Zoom Events alternatives: Amazon Kinesis Data Streams, Apache Kafka, Cisco Webex Events, Vimeo Livestream
Llama 4 MaverickDacast alternatives: Contentflow, Kaltura
GLM 4.7 FlashXConfluent Cloud alternatives: Aiven for Apache Kafka
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 eighteen points.
Redpanda18%#2 of 16Apache Pulsar0%#16 of 16Mid-marketThe figures above
Redpanda leads by nineteen points.
Redpanda21%#2 of 11Apache Pulsar2%#7 of 11Enterprise
Redpanda leads by nine points.
Redpanda9%#2 of 10Apache Pulsar0%#9 of 10What the models said about Redpanda
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Four of five in this category shown.
“Redpanda has recent advisories too, including crashes and data-loss bugs in specific versions/configurations.” GPT-5.4 mini · negative prompt · soft negative
“The Modern Alternative: Redpanda ... Choose Redpanda if: Your primary goal is real-time event processing between internal microservices” Qwen 3.7 Flash · direct prompt · first choice
“Redpanda Cloud/self-hosted if you want Kafka compatibility with lower operational overhead and more predictable performance” Muse Glimmer 30B · direct prompt · first choice
“Redpanda Cloud (BYOC or SaaS): Incredible developer experience, massive infrastructure cost savings, C++ performance” Gemini 3.5 Flash · scale prompt · first choice
What the models said about Apache Pulsar
Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Six of eight in this category shown.
“Avoid: ... self‑hosted Pulsar (unless you’re a large enterprise)” GLM 4.7 FlashX · negative prompt · hard negative
“Pulsar introduces unnecessary operational overhead” Gemini 3.5 Flash · negative prompt · hard negative
“Apache Pulsar is not recommended for small-scale applications or those without strict multi-tenancy needs.” Llama 4 Maverick · negative prompt · soft negative
“## Top Recommendation: Apache Pulsar (Self-Hosted)” GLM 4.7 FlashX · budget prompt · first choice
“A cloud-native, multi-tenant event streaming platform designed for high scalability, geo-replication, and flexible messaging patterns.” Muse Glimmer 30B · comparative prompt · alternative
“Geo-replication, tiered storage, multi-tenancy, separate compute/storage | Higher resource use (3 layers), smaller ecosystem” Grok 4.1 Fast · comparative prompt · alternative
Also compared
Confluent Cloud vs RedpandaConfluent Cloud vs Apache PulsarRedpanda vs Apache KafkaRedpanda vs YouTube LiveRedpanda vs Amazon MSKRedpanda vs Aiven for Apache KafkaRedpanda vs Google Cloud Pub/SubApache Kafka vs Apache PulsarYouTube Live vs Apache PulsarAmazon MSK vs Apache PulsarAiven for Apache Kafka vs Apache PulsarApache Pulsar vs Google Cloud Pub/SubAll twenty-eight head-to-head pages and the full streaming standing
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.