We performed a comparison between Vertica 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."The most valuable feature of Vertica is the unmatchable database performance."
"Partition and join back to node are easy and simple for DBAs."
"It has improved my organization's functionality and performance."
"The performance is very good and the aggregate records are fast."
"The product's initial setup phase is extremely simple."
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."
"The solution improved our site reliability."
"Some of the most valuable features are publish and subscribe, fanout, and queues."
"The stability of this solution was very good."
"We use VMware RabbitMQ to transfer information from one point to another."
"We have been able to set up a messaging system that facilitates data integration between the software modules that we sell."
"Very fast for query processing."
"Large amounts of data can be moved pretty fast using the solution."
"Helps us to achieve large-scale analytics."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Very bad support, I would rate it two out of 10."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"Limitations in group by projections is where I would like to see an improvement."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"It doesn't have any GUI-based monitoring tools."
"VMware RabbitMQ's configuration process could be easier to understand."
"The user interface could be improved."
"Maintenance is time-consuming."
"If messages pile up until the space of the memory is full, then basically, the cluster goes down, and someone has to log in through the backend and purge all messages."
"The next release should include some of the flexibility and features that Kafka offers."
"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."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
Vertica is ranked 4th in Data Warehouse with 83 reviews while VMware Tanzu Data Services is ranked 5th in Data Warehouse with 81 reviews. Vertica is rated 8.2, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". 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 ". Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and MySQL, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and Amazon MQ. See our VMware Tanzu Data Services vs. Vertica report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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