IT AI Index
Index Vendors › Apache Kafka · September 2026 Edition
2 categories · Ranked

Apache Kafka

139Judge labels
19First choices
53Negative labels
12 of 12Models named it
2Categories
September 2026 Edition. Every number here is derived from the raw labels under vendor table vv2026-09.2, every buyer segment counted.
Best standing
17% in Streaming for mid-market buyers
Rank 3 of 78 in the mid-market standingcriticized challenger
0 of 12 models made it the first choice on the direct prompt; 29% of its 51 labels there were negative.
By buyer segmentRead the same way at every buyer size.
In streaming · each standing computed within its segment · bars are 0 to 100 · the accent bar is the product's own best reading

Standing by category

Every category where a model named Apache Kafka for a mid-market B2B company. Share is first choices across the direct, paraphrase, budget and scale prompts; rank is within every product named in that category.
CategoryFunctionShareRankNegative rateLabelsQuadrant
Streaming platformsData platform17%3 of 7829%51criticized challenger
ETL and ELTData platform0%49 of 6650%2under 10 labels · led by Airbyte at 32%

Movement

This is the first edition on this tier, so no move can be computed for Apache Kafka yet. From the next edition this section shows, per buyer segment, whether its share moved by more than the measured noise floor.

By model

How each model treated Apache Kafka across every prompt where it was named for a mid-market B2B company. Twelve models, six prompts per category.
ModelFirst choiceAlternativeMentionNegativeLabels
Claude Haiku 4.510113
GPT-5.4 mini21115
Gemini 3.5 Flash10034
Perplexity Sonar20114
Grok 4.1 Fast31015
Mistral Small20114
DeepSeek V4 Flash21025
Llama 4 Maverick02114
Qwen 3.7 Flash11125
Kimi K230126
GLM 4.7 FlashX20114
MiniMax M2.520204

By framing

Which of the six questions produced the naming. By model says how often; this says asked what. The first-choice count on the right carries the marks of the models that produced it.
FramingLabels by classFirst choices
Direct20 labels3
Paraphrase2 labelsNone
Comparative30 labels19not counted in share
Budget-constrained29 labels15
Scale-constrained27 labels1
Negative31 labels5not counted in share
First choiceAlternativeMentionNegative139 labels in all, every segment counted; 19 of the 43 first choices count toward share, since the comparative and negative framings do not. The bar is one segment per label class, to scale within the framing.

What the models said for it

Verbatim evidence the judge attached to positive labels.

“Kafka is the dominant default — it's been in production at massive scale for over a decade, has the largest ecosystem of connectors and tools” DeepSeek V4 Flash · Streaming · comparative prompt · first choice
“Apache Kafka - Open-source and free... highly scalable and widely used, making it ideal if you have technical expertise in-house.” Claude Haiku 4.5 · Streaming · budget prompt · first choice
“Choose Confluent / Kafka if you are an enterprise building a broad, mission-critical real-time data architecture” Gemini 3.5 Flash · Streaming · comparative prompt · first choice
“Apache Kafka (Best Free Option) - Cost: Completely free (open-source) ... Industry standard, highly scalable” Kimi K2 · Streaming · budget prompt · first choice

And against it

Verbatim evidence attached to negative labels. A warning on a product with few labels is a warning; on a product with many, it is one voice among them.

“Deprecated, being removed ... Kafka 4.0 (2025) removed ZooKeeper entirely.” Kimi K2 · Streaming · negative prompt · hard negative
“Kafka lacks built-in ETL capabilities like data transformation and loading... making it less suitable for simple ETL pipelines” Claude Haiku 4.5 · ETL · negative prompt · soft negative
“While it's a popular and widely-used platform, it may not be suitable for small static websites or low-traffic applications.” Llama 4 Maverick · Streaming · negative prompt · soft negative
“misconfigurations around idempotence, in-flight requests, and acknowledgments can cause ordering or delivery issues” GPT-5.4 mini · Streaming · negative prompt · soft negative

Named alongside

The products named in the same answers as Apache Kafka, over the 138 answers that named it. Took the first choice instead counts the answers where the other product was the first choice and Apache Kafka was named but was not.
ProductSame answerTook the first choice insteadHead to head
Amazon Kinesis Data Streams93 of 1385Not in the top three
Apache Pulsar81 of 1381Not in the top three
Google Cloud Pub/Sub70 of 1383Not in the top three
Azure Event Hubs60 of 1382Not in the top three
Amazon MSK49 of 1384Not in the top three
RabbitMQ31 of 1381Not in the top three
Aiven for Apache Kafka29 of 1385Not in the top three
NATS JetStream18 of 1380Not in the top three
A head-to-head page exists where both products are in a category's top three. The other rows are the same fact without a page behind them, so they link to the product instead.

What carried it into the answer

The sites and pages cited by the answers that named Apache Kafka. A fact about retrieval, not a lever on the model.

Citations exist only for the models that return a source list, four of the twelve in this edition, so these counts come from 109 of the 138 answers that named Apache Kafka and are not a share of its labels.

Names read as Apache Kafka

What the judge wrote, as written, with how often. The vendor table decides that these count as Apache Kafka; a claim can dispute any of them.
Kafka 10Self-Managed Apache Kafka 2Self-hosted Apache Kafka 2Apache Kafka & Confluent (IBM) 1Apache Kafka (Self-Managed) 1Apache Kafka (especially KRaft mode) 1Apache Kafka (self-managed) 1Apache Kafka with ZooKeeper 1self-hosted Apache Kafka 1
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Claiming is free and changes nothing in the data. A claimed page shows a verified contact who is told when each edition publishes and when Apache Kafka's standing changes by more than the noise floor; the right to propose corrections to the vendor table, meaning names the judge wrote that should or should not read as Apache Kafka, applied by version and listed in the change log; and a one-line description supplied by the vendor and marked as such.

It does not get any change to labels, shares or verdicts, any preview, or any say over which quotes appear. A verification link goes to your work email; an address at apache.org is approved on the spot, any other address is reviewed by hand.

Your name and company appear on the claimed page, or the company alone if you ask below. A title and a LinkedIn address appear there too if you give them, and are left off if you do not. Your email address is never published.

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