Apache Kafka Reviews

Name: Apache Kafka
Brand: Apache
Rating: 4.0 (82 reviews)

4.0 out of 5

82 reviews
95% willing to recommend

1,266 followers

What is Apache Kafka?

Apache Kafka is an open-source distributed streaming platform that serves as a central hub for handling real-time data streams. It allows efficient publishing, subscribing, and processing of data from various sources like applications, servers, and sensors.

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Apache Kafka is the #7 ranked solution in Streaming Analytics tools. PeerSpot users give Apache Kafka an average rating of 8.0 out of 10. Apache Kafka is most commonly compared to MuleSoft Anypoint Platform: Apache Kafka vs MuleSoft Anypoint Platform. Apache Kafka is popular among the large enterprise segment, accounting for 72% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a financial services firm, accounting for 31% of all views.

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Featured reviews

Eyob Alemu

Technical Director at NIDP

We use Kafka for a stage event-driven process from a process perspective. Our platform is an ID platform, so after registration data is received, it has to be stored from various registration locations. The process includes stages like quality checking, consistency, format, biometric data checking…

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Vishal M Godi

Big Data Teaching Assistant at Center for Cloud Computing and Big Data, PES University

Kafka is used as a streaming platform where multiple producers and consumers exchange high load and high volume of messages asynchronously without affecting each other's performance. It serves as an industry-standard platform for such operations. Kafka is also integrated into data system…

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Lucas Dreyer

Data Engineer at BBD

The real-time nature and the ability to use multiple offsets are the most beneficial features of Apache Kafka for our data streaming needs. This allows us to replay the same messages using different offsets. Although I haven't set up Kafka's scalability and fault tolerance myself, I know it can be configured with redundancy and fallback options. We primarily consume the messages using different clients, so the setup for fault tolerance and redundancy is transparent to us. It's quite flexible and comparable to other solutions like ActiveMQ in terms of features and guarantees, especially with offsets for message handling. While ActiveMQ may be preferred in some use cases requiring guaranteed message delivery, Kafka's offset management provides similar functionality. Overall, I would recommend Kafka for real-time data streaming without hesitation.

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Apache Kafka mindshare

As of November 2024, the mindshare of Apache Kafka in the Streaming Analytics category stands at 0.2%, up from 0.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

Key learnings from peers

Last updated Oct 27, 2024

Valuable Features

"Kafka makes data streaming asynchronous and decouples the reliance of events on consumers."
"Kafka is scalable to any degree we want, and it has several connectors available for integration in multiple languages, making it easier for integration."
"The convenience in setting up after major problems like data center blackouts is a notable feature."

Room for Improvement

"Confluent has improved aspects like documentation and cloud support, yet Kafka's reliance on older architectures like ZooKeeper in previous versions is a limitation."
"The UI used to access Kafka topics can be further improved."
"Kafka has some limitations in terms of queue management."

Pricing

"I was using the product's free version."
"Apache Kafka is an open-source solution."
"I rate Apache Kafka's pricing a five on a scale of one to ten, where one is cheap and ten is expensive. There are no additional costs apart from the licensing fees for Apache Kafka."

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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Review data by company size

By reviewers

By visitors reading reviews

Top industries

By visitors reading reviews

Financial Services Firm

31%

Computer Software Company

13%

Manufacturing Company

Retailer

Government

Educational Organization

University

Healthcare Company

Real Estate/Law Firm

Energy/Utilities Company

Insurance Company

Media Company

Comms Service Provider

Construction Company

Transportation Company

Logistics Company

Non Profit

Legal Firm

Outsourcing Company

Hospitality Company

Wholesaler/Distributor

Recreational Facilities/Services Company

Performing Arts

Pharma/Biotech Company

Aerospace/Defense Firm

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Learn more about Apache Kafka

Kafka's core benefits include high scalability for big data pipelines, fault tolerance ensuring continuous operation despite node failures, low latency for real-time applications, and decoupling of data producers from consumers.

Key features include topics for organizing data streams, producers for publishing data, consumers for subscribing to data, brokers for managing clusters, and connectors for easy integration with various data sources.

Large organizations use Kafka for real-time analytics, log aggregation, fraud detection, IoT data processing, and facilitating communication between microservices.