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."My company wanted to have all our data in one single place and this what we use Snowflake for. Snowflake also allows us to build connectors to different data sources."
"The technical support is pretty good, particularly if you are a more technical user."
"Great scalability and near zero maintenance."
"Its speed and performance were the most valuable. Easy configuration of Snowflake in any cloud was also a benefit."
"It has great flexibility whenever we are loading data and performs ELT (extract, load, transform) techniques instead of ETL."
"The speed of data loading and being able to quickly create the environment are most valuable."
"The initial setup is very simple."
"Its performance is a big advantage. When you run a query, its performance is very good. The inbound and outbound share features are also very useful for sharing a particular database. By using these features, you can allow others to access the Snowflake database and query it, which is another advantage of this solution. It has good security, and we can easily integrate it. We can connect it with multiple source systems."
"We have been able to set up a messaging system that facilitates data integration between the software modules that we sell."
"Pivotal Greenplum's shared-nothing architecture."
"It's super easy to deploy and it also supports different languages and analytics."
"The solution is stable."
"The stability of this solution was very good."
"Simple and straightforward admin portals: Made it easy for users and worked out excellently for our requirements"
"The loading speed is very good."
"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."
"For the Snowflake database, there should be some third-party features for the ETL. It would also be good to be able to use some kind of controls to get the data either from another database or a flat file. Its price should be improved. It should be cheaper than Microsoft."
"It's difficult to know how to size everything correctly."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"There are some stored procedures that we've had trouble with. The solution also needs to fine-tune the connectors to be able to connect into the system source."
"Portability is a big hurdle right now for our clients. Porting all of your existing SQL ecosystem, such as stored procedures, to Snowflake is a major pain point. Currently, Snowflake stored procedures use JavaScript, but they should support SQL-based stored procedures. It would be a huge advantage if you can write your stored procedures using SQL. It seems that they are working on this feature, and they are yet to release it. I remember seeing some notes saying that they were going to do that in the future, but the sooner this feature comes out, it would be better for Snowflake because there are a lot of clients with whom I'm interacting, and their main hurdle is to take their existing Oracle or SQL Server stored procedures and move them into Snowflake. For this, you need to learn JavaScript and how it works, which is not easy and becomes a little tricky. If it supports SQL-based procedures, then you can just cut-paste the SQL code, run it, and easily fix small issues."
"The pricing of the solution should be much easier to calculate or find by yourself."
"The solution could improve the user interface and add functionality to the system."
"I can only access Snowflake from the web. It would be better if we could have an app that we can install locally on our laptops to connect to the server without needing to go to the web page. Apart from that, it's hard to point out any limitations in the tool."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"The fact that a single queue can't be distributed across multiple instances/nodes is a major disadvantage."
"Implementation takes a long time."
"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."
"The installation is difficult and should be made easier."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."
"There are some security concerns that have been raised with this product."
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.
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