We performed a comparison between Amazon EMR and VMware Tanzu Data Services based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Amazon EMR's most valuable features are processing speed and data storage capacity."
"It has a variety of options and support systems."
"Amazon EMR is a good solution that can be used to manage big data."
"The initial setup is pretty straightforward."
"It allows users to access the data through a web interface."
"The project management is very streamlined."
"We are using applications, such as Splunk, Livy, Hadoop, and Spark. We are using all of these applications in Amazon EMR and they're helping us a lot."
"This is the best tool for hosts and it's really flexible and scalable."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"It is easy to use. The addition of more queues and more services can be managed very easily."
"The product has been stable and I have never faced any kind of problems with it."
"Very sophisticated routing control and priority messaging capabilities"
"It works very well with large database queries."
"A very good, open-source platform."
"Simple and straightforward admin portals: Made it easy for users and worked out excellently for our requirements"
"We don't have much control. If we have multiple users, if they want to scale up, the cost will go and increase and we don't know how we can restrict that price part."
"There is room for improvement in pricing."
"As people are shifting from legacy solutions to other technologies, Amazon EMR needs to add more features that give more flexibility in managing user data."
"Amazon EMR is continuously improving, but maybe something like CI/CD out-of-the-box or integration with Prometheus Grafana."
"There is no need to pay extra for third-party software."
"The product must add some of the latest technologies to provide more flexibility to the users."
"There were times where they would release new versions and it seemed to end up breaking old versions, which is very strange."
"The problem for us is it starts very slow."
"The availability could be better."
"I’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"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."
"Implementation takes a long time."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"They should improve on the ability to scale your queues in a very simple and elegant way with the same power that they have would be great."
"This solution struggled with multi-regional synchronization."
"The installation is difficult and should be made easier."
Amazon EMR is ranked 8th in Cloud Data Warehouse with 20 reviews while VMware Tanzu Data Services is ranked 6th in Data Warehouse with 81 reviews. Amazon EMR is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Amazon EMR writes "Provides efficient data processing features and has good scalability ". 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 ". Amazon EMR is most compared with Snowflake, Cloudera Distribution for Hadoop, Azure Data Factory, Amazon Redshift and Apache Spark, whereas VMware Tanzu Data Services is most compared with IBM MQ, Apache Kafka, Anypoint MQ, ActiveMQ and Red Hat AMQ. See our Amazon EMR vs. VMware Tanzu Data Services report.
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We monitor all Cloud Data Warehouse 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.
