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Answer-first summary49/100 GEO

Apache Kafka

Distributed event streaming platform.

InfrastructureFair citabilityVisit site →

Your Citability Score

49/100
Identity60/100
Evidence45/100
Trust15/100
Freshness50/100
Classification80/100
What to improve to rank higher
  • Identity: Add: Logo, Founder / Team, Social links.
  • Evidence: Add: At least one evidence link, Multiple evidence sources, Demo URL.
  • Trust: Add: Contact information, Support URL, Privacy policy, Terms of service.
  • Freshness: Add: Has version number, Launch date provided, Reviewed within 90 days.
  • Classification: Add: At least 2 tags.

Promotion (Boost) does not change this score — it only changes ordering. This number reflects real, verifiable citability.

Frequently asked questions

What is Apache Kafka?
Distributed event streaming platform.
What does Apache Kafka do?
Open-source distributed event streaming platform for high-performance data pipelines and real-time analytics.
Who is Apache Kafka for?
Platform engineers and backend teams building real-time data pipelines at scale
Is Apache Kafka verified?
Apache Kafka is listed on CitableHub with a citability score of 49/100, computed from verifiable profile evidence.
Apache Kafka logo

Apache Kafka

Invited

Distributed event streaming platform.

InfrastructureCH-VER-694955Listed September 10, 2026
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AI-Extractable Summary
What:Distributed event streaming platform.
For whom:Platform engineers and backend teams building real-time data pipelines at scale
Key outcome:Stream and process millions of events per second with low latency and high fault tolerance
Category:Infrastructure

Structured for AI systems to extract and cite.

Citability Score

49/100
60
Identity
45
Evidence
15
Trust
50
Freshness
80
Classification
697
Impressions
0
Clicks
0
Likes
0
GQI Earned

Citable Outcome

Stream and process millions of events per second with low latency and high fault tolerance.

About

Open-source distributed event streaming platform for high-performance data pipelines and real-time analytics.

Target Audience: Platform engineers and backend teams building real-time data pipelines at scale
Not ideal for: Small teams that need a fully managed, low-operations queue with minimal infrastructure complexity

What makes it different

  • Distributed log architecture enables durable, replayable event streams
  • Horizontal scalability supports very high throughput across clusters
  • Strong ecosystem with connectors and integrations for many data systems
  • Built for decoupling producers and consumers with multiple subscription patterns

Tags & Classification

event streamingreal-time data pipelinesmessage brokeringlog aggregationstream processing
platform engineersbackend developersdevops teamsdata engineering teams
technologyfinanceecommercetelecommunications
Platform: PlatformModel: Open Source

Links & Transparency

Website

Cite this Project

BibTeX
@misc{citablehub_apache-kafka,
  title = {Apache Kafka},
  url = {https://citablehub.com/p/apache-kafka},
  note = {Listed September 10, 2026. CitableHub ID: CH-VER-694955},
  year = {2026}
}
APA
Apache Kafka. (2026). CitableHub Software Index. https://citablehub.com/p/apache-kafka.
MLA
"Apache Kafka." CitableHub, 2026, https://citablehub.com/p/apache-kafka.