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."The solution is easy to use."
"I like the idea that you can assign roles and responsibilities, limiting access to data."
"The solution is stable."
"Data sharing is a good feature. It is a majorly used feature. The elastic compute is another big feature. Separating compute and storage gives you flexibility. It doesn't require much DBA involvement because it doesn't need any performance tuning. We are not really doing any performance tuning, and the entire burden of performance tuning and SQL tuning is on Snowflake. Its usability is very good. I don't need to ramp up any user, and its onboarding is easier. You just onboard the user, and you are done with it. There are simple SQL and UI, and people are able to use this solution easily. Ease of use is a big thing in Snowflake."
"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."
"Data Science capabilities are the most valuable feature."
"The most valuable feature has been the Snowflake data sharing and dynamic data masking."
"The tool's performance is good. I think it's the best in the game right now. It usually charges per query. For example, if you run a SQL query on Snowflake with the same number of data records, it would take less than half the time compared to running it on Microsoft. It has good documentation. You can pick up Snowflake if you have previous knowledge of SQL."
"I like the high throughput of 20K messages/sec, and that it supports multiple protocols."
"RabbitMQ will help to remove a lot of the complexities and create a loosely coupled codebase."
"The product has been stable and I have never faced any kind of problems with it."
"Very sophisticated routing control and priority messaging capabilities"
"The solution has really cool features to use. Its management console is excellent. You can utilize plugins to view the performance of the whole service on one network."
"Companies can scale the solution, so long as they have server room."
"It's super easy to deploy and it also supports different languages and analytics."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"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."
"I would like to see more transparency in data processing, ATLs, and compute areas - which should give more comfort to the end users."
"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."
"They have a new console, but I couldn't figure out anything in the new console. So, if I shift to the old console, I can figure out where to create the database schema and other things, but I have no idea where to go in the new console. That's one thing they can improve. I don't know why they created a new console to confuse. The old, classic console is much better."
"I would like to see a client version of the GUI."
"Snowflake has to improve their spatial parts since it doesn't have much in terms of geo-spatial queries."
"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."
"It's not that flexible when compared to Oracle."
"The initial deployment was a little difficult."
"When you have complex tasks, RabbitMQ is hard to use."
"The solution needs improvement on performance."
"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."
"Their implementation is quite tricky. It's not that easy to implement RabbitMQ as a cluster."
"Implementation takes a long time."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"If you're outside IP address range, the clustering no longer has all the features which is problematic."
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.
