We performed a comparison between Snowflake 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."Scaling is a big plus point of Snowflake."
"Snowflake is a database, and it is very good and useful. The most interesting part is that memory management is very good in Snowflake. For a business intelligence project, SQL Server is taking a lot of time for reporting services. There are a lot of calculations, and the reporting time is shown as two minutes, whereas Snowflake is taking just two seconds for the same reporting services."
"I have found the solution's most valuable features to be storage, flexibility, ease of use, and security."
"The features I found most valuable with this solution are sharing options and built-in time zone conversion."
"Everything is automatic, and I don't have to do any maintenance."
"The most valuable feature is the snapshot database. In one second, you can just take a snapshot of the database for test purposes."
"The thing I find most valuable is that scalability, space storage, and computing power is separate. When you scale up, it is live from one second to the next — constantly available as you scale — so there is no downtime or interruption of services."
"The adaptation to development languages is most valuable. Our developers can SQL code or something else. It has been convenient in that regard."
"Very fast for query processing."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The product has been stable and I have never faced any kind of problems with it."
"RabbitMQ provides access to SDKs for development and the ability to raise and log tickets if we encounter issues. We can integrate RabbitMQ using various languages like Java or Python using the provided SDKs."
"The loading speed is very good."
"The solution is stable."
"Pivotal Greenplum's shared-nothing architecture."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"The solution needs more connectors."
"There is room for improvement in Snowflake's integration with Python. We do a lot of SQL programming in Snowflake, but we go to a different tool to program when we have to in Python."
"There are some challenges with loading unstructured data and integrating some message queues or brokers. In one project, we had a problem connecting to one of the message queues and we had to take a different route altogether on Microsoft Azure."
"They do have a native connector to connect with integration tools for loading data, but it would be much better to have the functionality built-in."
"There are a lot of features that they need to come up with. A lot of functions are missing in Snowflake, so we have to find a workaround for those. For example, OUTER APPLY is a basic function in SQL Server, but it is not there in Snowflake. So, you have to write complex code for it."
"Support needs improvement, as it can take several days before you get some initial support."
"I am still in the learning stage. It has good security, but it can always be more secure."
"Currently, Snowflake doesn't support unstructured data."
"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."
"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."
"VMware RabbitMQ's configuration process could be easier to understand."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"I’d like this dashboard to use web sockets, so it would actually be in real time. It would slightly increase debugging, etc."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
Snowflake is ranked 1st in Data Warehouse with 94 reviews while VMware Tanzu Data Services is ranked 5th in Data Warehouse with 81 reviews. Snowflake is rated 8.4, while VMware Tanzu Data Services is rated 8.0. The top reviewer of Snowflake writes "Good usability, good data sharing and elastic compute features, and requires less DBA involvement". 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 ". Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation, whereas VMware Tanzu Data Services is most compared with IBM MQ, Anypoint MQ, Apache Kafka, Red Hat AMQ and Nutanix Database Service. See our Snowflake 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.