We performed a comparison between Apache Kafka and VMware Tanzu Data Services based on real PeerSpot user reviews.
Find out in this report how the two Message Queue (MQ) Software solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
"As a software developer, I have found Apache Kafka's support to be the most valuable...The solution is easy to integrate with any of our systems."
"The stability is very nice. We currently manage 50 million events daily."
"The valuable features are the group community and support."
"The most valuable feature is the support for a high volume of data."
"The most valuable feature of Apache Kafka is its versatility. It can solve many use cases or can be a part of many use cases. Its fundamental value of it is in the real-time processing capability."
"The solution is very easy to set up."
"It is the performance that is really meaningful."
"I like the performance and reliability of Kafka. I needed a data streaming buffer that could handle thousands of messages per second with at least one processing point for an analytics pipeline. Kafka fits this requirement very well."
"The solution has really cool features to use. Its management console is excellent. You can utilize plugins to view the performance of the whole service on one network."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"The stability of this solution was very good."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"The most valuable feature is asynchronous calls, which are easy to configure."
"The product's feature of data transaction works fast."
"Apache Kafka can improve by making the documentation more user-friendly. It would be beneficial if we could explain to customers in more detail how the solution operates but the documentation get highly technical quickly. For example, if they had a simple page where we can show the customers how it works without the need for the customer to have a computer science background."
"The interface has room for improvement, and there is a steep learning curve for Hadoop integration. It was a struggle learning to send from Hadoop to Kafka. In future releases, I'd like to see improvements in ETL functionality and Hadoop integration."
"We struggled a bit with the built-in data transformations because it was a challenge to get them up and running the way we wanted."
"The product is good, but it needs implementation and on-going support. The whole cloud engagement model has made the adoption of Kafka better due to PaaS (Amazon Kinesis, a fully managed service by AWS)."
"One of the things I am mostly looking for is that once the message is picked up from Kafka, it should not be visible or able to be consumed by other applications, or something along those lines. That feature is not present, but it is not a limitation or anything of the sort; rather, it is a desirable feature. The next release should include a feature that prevents messages from being consumed by other applications once they are picked up by Kafka."
"The support on Apache Kafka could be improved."
"The price for the enterprise version is quite high. It would be better to have a lower price."
"Data pulling and restart ability need improving."
"I’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"There are some security concerns that have been raised with this product."
"The initial deployment was a little difficult."
"The product has to improve the crisis management, especially in memory issues."
"The user interface could be improved."
"The product is pretty hard to configure."
"I would like to see the performance of the administration portal improved and additional messaging protocols."
"Extra filters would be helpful."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews while VMware Tanzu Data Services is ranked 3rd in Message Queue (MQ) Software with 81 reviews. Apache Kafka is rated 8.0, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". On the other hand, the top reviewer of VMware Tanzu Data Services writes "Reliable queueing functionality and versatile tool that can be used with any programming languages ". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and ActiveMQ, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Red Hat AMQ, ActiveMQ and Oracle Exadata. See our Apache Kafka vs. VMware Tanzu Data Services report.
See our list of best Message Queue (MQ) Software vendors.
We monitor all Message Queue (MQ) Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
