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it_user998961 - PeerSpot reviewer
Enterprice Architect
Real User
A reliable message delivery system, but more connectors to different systems are needed
Pros and Cons
  • "The most important feature for me is the guaranteed delivery of messages from producers to consumers."
  • "More adapters for connecting to different systems need to be available."

What is our primary use case?

I am an enterprise architect involved in Big Data and integration projects using Apache Kafa. We use it for integrating our different management systems.

What is most valuable?

The most important feature for me is the guaranteed delivery of messages from producers to consumers.

What needs improvement?

More adapters for connecting to different systems need to be available.

For how long have I used the solution?

I have been using Kafka for about six months.

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What do I think about the stability of the solution?

This is a stable solution and we haven't had any complexities.

What do I think about the scalability of the solution?

This solution is scalable.

Which solution did I use previously and why did I switch?

I have used IBM MQ and it is better in terms of the adapters that are available. However, the price of IBM MQ is very high.

How was the initial setup?

The initial setup is easy.

What's my experience with pricing, setup cost, and licensing?

Kafka is more reasonably priced than IBM MQ.

What other advice do I have?

Although we are deployed on-premises at the moment, we are looking to have a cloud-based deployment in a year or two.

This is a solution that I can recommend but it will take a lot of time to develop the adapters.

I would rate this solution a seven out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
it_user660630 - PeerSpot reviewer
SDET II at a tech services company with 5,001-10,000 employees
Consultant
Replication and partitioning are valuable features.

What is most valuable?

  • Replication, partitioning, and reliability are the most valuable features.
  • Even if one of my clusters fails, the replication factor of a topic makes sure that I have the data available for processing, so I won't lose any of it.
  • Partitioning enables me to process the parallel requests. It helps in reaching the throughput.

What needs improvement?

One improvement is in regards to the OS memory management. In case there are too many partitions, it runs into memory issues. Although this is a very rare scenario, it can happen.

For how long have I used the solution?

I have been using this product for a year now.

What do I think about the stability of the solution?

There were no stability issues.

What do I think about the scalability of the solution?

Kafka is a highly scalable product. We have not faced any scalability issues so far.

How is customer service and technical support?

Since it's an open source product, no technical support is available. However, the open source community is very active.

How was the initial setup?

The initial setup was straightforward. Just go through the Kafka documentation and it will be up and running in no time.

What's my experience with pricing, setup cost, and licensing?

Since it's an open source product, there is no pricing for it.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
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Apache Kafka
November 2024
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PeerSpot user
Java Architect at a tech vendor with 51-200 employees
Vendor
The speed at which it publishes messages is valuable.
Pros and Cons
  • "Excellent speeds for publishing messages faster."
  • "Too much dependency on the zookeeper and leader selection is still the bottleneck for Kafka implementation."

What is most valuable?

Excellent speeds for publishing messages faster.

What needs improvement?

Too much dependency on the zookeeper and leader selection is still the bottleneck for Kafka implementation.

What do I think about the scalability of the solution?

RESTful API implementation actually uses the Kafka Broker to publish the messages but I am not able to find it becoming scalable. Partially, the reason might be there is no load balancer for the RESTful API web server.

How was the initial setup?

Setup is very much straightforward for development, and cluster setup is also easy. I am not aware of the production setup yet.

What about the implementation team?

I implemented it on my own.

Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
reviewer1388343 - PeerSpot reviewer
Solutions Architect at a tech services company with 201-500 employees
Real User
Good support, stable, and it supports a high volume of data
Pros and Cons
  • "The most valuable feature is the support for a high volume of data."
  • "The initial setup and deployment could be less complex."

What is our primary use case?

We are a solution provider and Apache Kafka is being used in our client's company.

What is most valuable?

The most valuable feature is the support for a high volume of data.

What needs improvement?

The initial setup and deployment could be less complex.

Integration is one of the main concerns that we have.

For how long have I used the solution?

We have been using Apache Kafka for two years.

What do I think about the stability of the solution?

Kafka is a stable product.

What do I think about the scalability of the solution?

This is a scalable solution.

How are customer service and technical support?

The technical support is quite good, and we have no problem with it.

Which solution did I use previously and why did I switch?

We also use IBM MQ. It is also a stable product.

IBM MQ is probably easier to deploy than Kafka.

In addition to these, I have also worked with RabbitMQ.

How was the initial setup?

Deploying Kafka is more complex than IBM MQ.

Which other solutions did I evaluate?

My customer has asked me to choose between IBM MQ and Apache Kafka. I will be comparing these two solutions in the near future. My impression is that Kafka is going to better suit my customer, but I have to consider their specific needs before I can be sure.

What other advice do I have?

This is a solution that I may recommend, but its suitability depends on the needs and requirements.

I would rate this solution an eight out of ten.

Which deployment model are you using for this solution?

On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.
PeerSpot user
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