Vice President (Information and Product Management) at Tradebulls Securities (P) Limited
Real User
Top 10
2023-09-13T09:37:10Z
Sep 13, 2023
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.
Group Manager at a media company with 201-500 employees
Real User
Top 20
2023-04-25T09:46:00Z
Apr 25, 2023
I have experience in private cluster implementation. When you use Apache Kafka with Cloudera, the pricing is included in your Cloudera license. The pricing is based on the number of nodes, the storage cost, and other components. As part of this license, Kafka is one of the solutions offered. When you compare it with OnCloud, if you don't have a good volume of data and use cases, your benefits realization will not be there, as the initial cost of setting up the cluster and bringing up the license can be as much as $760k for a small cluster of ten to twenty nodes. You need at least 20-30 GBs of data and use cases before utilizing and profiting from the Teradata license and cloud data. Kafka is just one piece of it. When it comes to the cloud, the pricing also goes at the solution level so that you can compare it at the Kafka level. Still, I don't have much information on that from where I am currently implementing the solution. After we did the cost-benefit analysis, we only opted for the solution. We realized that by bringing in Cloudera along with Kafka, we would be able to replace two or three existing systems, including Teradata, Oracle, Informatica, and IBM Datastage. Only then were we able to realize the benefit for the bank. Otherwise, Cloudera would be much more expensive, especially in the short term. With distributed computing, the concept of Delta Lake is coming in, and IDBMS systems like Teradata and distributed systems like data lakes will coexist. Not all use cases will be solved, but cloud solutions like Azure come as a package, and you need not worry about having different physical systems in your enterprise to take care of. That's where I think the cost-benefit analysis from a data perspective becomes too important. At the end of the day, we bring in big data systems only when the data volumes are high. When the data volumes are low, the cost-benefit analysis can easily show that systems like Oracle or Teradata can run it just fine.
CEO & Founder at a tech consulting company with 11-50 employees
Consultant
Top 10
2022-10-06T14:58:58Z
Oct 6, 2022
Kafka is an open-source solution, so there are no licensing costs. There are third-party companies who support and provide add-ons to Kafka, but we didn't need to use any of those. Confluence, for example, provides plug-ins for Kafka.
Apache Kafka is an open-sourced solution. There are fees if you want the support, and I would recommend it for enterprises. There are annual subscriptions available.
Sr Technical Consultant at a tech services company with 1,001-5,000 employees
Real User
2021-06-26T01:12:49Z
Jun 26, 2021
Apache Kafka is free. My clients were using Confluent which provides high-quality support and services, and it was relatively expensive for our client. There was a lot of back and forth on negotiating the price. Confluent has an offering that has Cloud-Based pricing. There are different packages, prices, and capabilities. The highest level being the most expensive. AWS provides services to their market, for example, to have Kafka running. I do not know what the pricing is and I am fairly confident, Azure and GCP provide similar services.
Apache Kafka is a highly regarded open-source, distributed event streaming platform and Message Queue (MQ) software solution that is valued and trusted worldwide by many of the top fortune 100 companies. It is considered one of the most reliable Message Queue (MQ) software solutions available in the marketplace today.
Enterprise organizations rely on streaming platforms and MQ software solutions to process the continuous flow of high-performance data pipelines, mission-critical applications,...
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.
The cost can vary depending on the provider and the specific flavor or version you use. I'm not very knowledgeable about the pricing details.
I have experience in private cluster implementation. When you use Apache Kafka with Cloudera, the pricing is included in your Cloudera license. The pricing is based on the number of nodes, the storage cost, and other components. As part of this license, Kafka is one of the solutions offered. When you compare it with OnCloud, if you don't have a good volume of data and use cases, your benefits realization will not be there, as the initial cost of setting up the cluster and bringing up the license can be as much as $760k for a small cluster of ten to twenty nodes. You need at least 20-30 GBs of data and use cases before utilizing and profiting from the Teradata license and cloud data. Kafka is just one piece of it. When it comes to the cloud, the pricing also goes at the solution level so that you can compare it at the Kafka level. Still, I don't have much information on that from where I am currently implementing the solution. After we did the cost-benefit analysis, we only opted for the solution. We realized that by bringing in Cloudera along with Kafka, we would be able to replace two or three existing systems, including Teradata, Oracle, Informatica, and IBM Datastage. Only then were we able to realize the benefit for the bank. Otherwise, Cloudera would be much more expensive, especially in the short term. With distributed computing, the concept of Delta Lake is coming in, and IDBMS systems like Teradata and distributed systems like data lakes will coexist. Not all use cases will be solved, but cloud solutions like Azure come as a package, and you need not worry about having different physical systems in your enterprise to take care of. That's where I think the cost-benefit analysis from a data perspective becomes too important. At the end of the day, we bring in big data systems only when the data volumes are high. When the data volumes are low, the cost-benefit analysis can easily show that systems like Oracle or Teradata can run it just fine.
Apache Kafka is an open-source solution.
The price of Apache Kafka is good. I rate the price of Apache Kafka an eight out of ten.
Kafka is open source.
I would advise others to schedule a month or two to just set it up and have it up and running.
The solution is open source.
Kafka is an open-source solution, so there are no licensing costs. There are third-party companies who support and provide add-ons to Kafka, but we didn't need to use any of those. Confluence, for example, provides plug-ins for Kafka.
We are using the free version of Apache Kafka.
We are licensed annually for this solution.
We are currently using the open-source version.
Kafka is free.
Apache Kafka is an open-sourced solution. There are fees if you want the support, and I would recommend it for enterprises. There are annual subscriptions available.
It's a bit cheaper compared to other Q applications.
This is an open-source version.
It's free. We use the free version.
Our clients purchased the license and they think it's an affordable solution.
Apache Kafka is OpenSource, you can set it up in your own Kubernetes cluster or subscribe to Kafka providers online as a service.
Apache Kafka is free. My clients were using Confluent which provides high-quality support and services, and it was relatively expensive for our client. There was a lot of back and forth on negotiating the price. Confluent has an offering that has Cloud-Based pricing. There are different packages, prices, and capabilities. The highest level being the most expensive. AWS provides services to their market, for example, to have Kafka running. I do not know what the pricing is and I am fairly confident, Azure and GCP provide similar services.
The licensing for this solution is pay-as-you-use.
Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription.
The solution is open source; it's free to use.
Kafka is more reasonably priced than IBM MQ.
Kafka is open-source and it is cheaper than any other product.
It's an open-source product, so the pricing isn't an issue. It's free to use. We don't have costs associated with it.
I'm unaware of the costs surrounding licensing and setup.
Apache Kafka is open-source and can be used free of charge.