We performed a comparison between Amazon Redshift and VMware Tanzu Data Services based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."Redshift COPY command, because much of my work involved helping customers migrate large amounts of data into Redshift."
"This service can merge and integrate well with all databases."
"You can copy JSON to the column and have it analyzed using simple functions."
"It's scalable because it's on the cloud."
"The product is relatively easy to use because there is no indexing and no partitions."
"The initial setup is easy."
"The tool's most valuable feature is its parallel processing capability. It can handle massive amounts of data, even when pushing hundreds of terabytes, and its scaling capabilities are good."
"The solution is scalable. It handles different loads very well."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"The message routing is the most valuable feature. It is effective and flexible."
"After creating a RabbitMQ service, they provide you with a sort of web management dashboard."
"Very sophisticated routing control and priority messaging capabilities"
"The most valuable feature for us is horizontal scaling."
"Some of the most valuable features are publish and subscribe, fanout, and queues."
"The product has been stable and I have never faced any kind of problems with it."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"I would like to improve the pricing and the simplicity of using this solution."
"Query compilation time needs a lot of improvement for cases where you are generating queries dynamically."
"It lacks a few features which can be very useful, such as stored procedures"
"The product could be improved by making it more flexible."
"There are physically too many pipelines for a company of this size to maintain. For a data scientist, it's very difficult to learn the data in all of these different environments."
"In the next release, a pivot function would be a big help. It could save a lot of time creating a query or process to handle operations."
"The product must provide new indexes that support special data structures or data types like TEXT."
"Compatibility with other products, for example, Microsoft and Google, is a bit difficult because each one of them wants to be isolated with their solutions."
"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."
"they need to interact more with customers. They need to explain the features, especially when there are new releases of Greenplum. I know just from information I've found that it has other features, it can be used to for analytics, for integration with Big Data, Hadoop. They need to focus on this part with the customer."
"Extra filters would be helpful."
"VMware RabbitMQ's configuration process could be easier to understand."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"We needed to configure additional plugins. While it was relatively easy to do this on-premises, it became more challenging in the cloud."
"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 61 reviews while VMware Tanzu Data Services is ranked 5th in Data Warehouse with 81 reviews. Amazon Redshift is rated 7.8, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". 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 Redshift is most compared with Teradata, Vertica, Snowflake, Microsoft Azure Synapse Analytics and IBM Netezza Performance Server, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and ActiveMQ. See our Amazon Redshift vs. VMware Tanzu Data Services report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all 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.