Apache Kafka Reviews

Name: Apache Kafka
Brand: Apache
Rating: 4 (79 reviews)

4.0 out of 5

79 reviews
95% willing to recommend

1,263 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.

Helped 802,829 peers since 2012

Featured reviews

Amit Laddha

Vice President (Information and Product Management) at Tradebulls Securities (P) Limited

If you are using the latest version of Apache Kafka in which the use of Zookeeper is not required, then it uses the KRaft protocol, which is built into Kafka broker. Since the use of Zookeeper is no longer required, I think the setup phase of dissolution is better than its previous versions. I rate the initial setup of the product somewhere between seven to eight out of ten. Apache Kafka's initial setup is very straightforward. The solution is deployed on an on-premises model. Apache Kafka was deployed in our company within a couple of days. Three people were involved in the deployment process of Apache Kafka.

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AbhishekGupta

Engineering Leader at Walmart

Apache Kafka can be deployed on the cloud and on-premise. We use Apache Kafka internally to build a service on a cluster. Additionally, we use the intermediate persistence layer for events. There are many teams who leverage it as a message queue and further their microservice connections Apache…

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Jhon Rico

Senior Solutions Architect at BVC

I have previous professional experience using Kafka to implement a system related to gathering software events in one centralized location. One example of how Kafka has been beneficial is in the context of financial trading. When a trade is executed, it generates an event. I used Kafka to create…

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Apache Kafka mindshare

As of September 2024, the mindshare of Apache Kafka in the Streaming Analytics category stands at 2.0%, down from 2.0% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

Key learnings from peers

Valuable Features

"For example, when you want to send a message to inform all your clients about a new feature, you can publish that message to a single topic in Apache Kafka. This allows all clients subscribed to that topic to receive the message. On the other hand, if you need to send billing information to a specific customer, you can publish that message on a topic dedicated to that customer. This message can then be sent as an SMS to the customer, allowing them to view it on their mobile device."
"The most valuable features of the solution revolve around areas like the latency part, where the tool offers very little latency and the sequencing part."
"The connectors provided by the solution are valuable."

Room for Improvement

"One complexity that I faced with the tool stems from the fact that since it is not kind of a stand-alone application, it won't integrate with native cloud, like AWS or Azure."
"The ability to connect the producers and consumers must be improved."
"Apache Kafka has performance issues that cause it to lag."

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

14%

Manufacturing Company

Retailer

Government

Educational Organization

Healthcare Company

University

Insurance Company

Energy/Utilities Company

Real Estate/Law Firm

Media Company

Comms Service Provider

Construction Company

Transportation Company

Logistics Company

Non Profit

Outsourcing Company

Wholesaler/Distributor

Legal Firm

Hospitality Company

Recreational Facilities/Services Company

Performing Arts

Pharma/Biotech Company

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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.