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."It allows for the storage of huge amounts of data."
"The product is relatively easy to use because there is no indexing and no partitions."
"The most valuable features are that it's easy to set up and easy to connect the many tools that connect to it."
"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."
"The initial setup of this solution is straightforward."
"Redshift's versioning and data security are the two most critical features. When migrating into the cloud, it's vital to secure the data. The encryption and security are there."
"I like the cost-benefit ratio, meaning that it is as easy to use as it is powerful and well-performing."
"The most valuable feature of Redshift is its cluster."
"Very fast for query processing."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"A very good, open-source platform."
"RabbitMQ will help to remove a lot of the complexities and create a loosely coupled codebase."
"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 solution can scale."
"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."
"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."
"The solution is unable to work fast."
"The initial setup is a complex process, especially for someone who is not familiar with nodes and configuring terms like RPUs."
"The refreshment rate of data reaching Redshift from other sources should be faster."
"The initial deployment was complex."
"Sometimes, it's difficult to get the metadata from Redshift."
"The product could be improved by making it more flexible."
"The speed of the solution and its portability needs improvement."
"It doesn't have any GUI-based monitoring tools."
"I was struggling with installing a few things. It would be good if was somewhat similar to RedHat. There should be more documentation regarding installation troubleshooting."
"The debugging capabilities and testing flexibilities need to be improved."
"The product needs to focus on offering more use case documentation because browsing the internet to find it can be a process filled with struggles."
"Extra filters would be helpful."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"Maintenance is time-consuming."
"The support feature could benefit from some improvement in terms of accessibility and responsiveness."
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.
