We performed a comparison between Redis and VMware Tanzu Data Services based on real PeerSpot user reviews.
Find out what your peers are saying about Apache, IBM, VMware and others in Message Queue (MQ) Software."Redis is better tested and is used by large companies. I haven't found a direct alternative to what Redis offers. Plus, there are a lot of support and learning resources available, which help you use Redis efficiently."
"The solution's technical support team is good...The solution's initial setup process was straightforward."
"The ability to fetch and save data quickly is valuable."
"The most valuable features of Redis are its ease of use and speed. It does not have access to the disc and it is fast."
"The in-memory data makes it fast."
"The product offers fast access to my database."
"The online interface is very fast and easy to use."
"It makes operations more efficient. The information processing is very fast, and very responsive. It's all about the technology."
"The solution improved our site reliability."
"Very sophisticated routing control and priority messaging capabilities"
"We use VMware RabbitMQ to transfer information from one point to another."
"Scalable (Massive) Parallel Processing (MPP) – The ability to bring to bear large amounts of compute against large data sets with Greenplum and the EMC DCA has proven itself to be very effective."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"The product's reliability is the most valuable feature."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The only thing is the lack of a GUI application. There was a time when we needed to resolve an issue in production. If we had a GUI, it would have been easier."
"I would prefer it if there was more information available about Redis. That would make it easier for new beginners. Currently, there is a lack of resources."
"There is a lack of documentation on the scalability of the solution."
"It's actually quite expensive."
"The initial setup took some time as our technical team needed to familiarize themselves with Redis."
"Sometimes, we use Redis as a cluster, and the clusters can sometimes suffer some issues and bring some downtime to your application."
"In future releases, I would like Redis to provide its users with an option like schema validation. Currently, the solution lacks to offer such functionality."
"The development of clusters could improve. Additionally, it would be helpful if it was integrated with Amazon AWS or Google Cloud."
"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."
"VMware RabbitMQ needs to create a new queue system."
"The product is pretty hard to configure."
"Extra filters would be helpful."
"They should add more analytics. Their documentation could also be improved so that I don't have to bother my co-workers and tech support so often."
"RabbitMQ is clearly better supported on Linux than it is on Windows. There are idiosyncrasies in the Windows version that are not there on Linux."
"When you have complex tasks, RabbitMQ is hard to use."
"The product has to improve the crisis management, especially in memory issues."
Redis is ranked 7th in Database as a Service with 9 reviews while VMware Tanzu Data Services is ranked 4th in Message Queue (MQ) Software with 81 reviews. Redis is rated 8.6, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Redis writes "Enables efficient caching and helps users fetch and save data quickly". 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 ". Redis is most compared with Google Cloud Memorystore, Amazon SQS, ActiveMQ, Chroma and Faiss, whereas VMware Tanzu Data Services is most compared with IBM MQ, Apache Kafka, Anypoint MQ, ActiveMQ and Red Hat AMQ.
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