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 most valuable features of Snowflake are its performance and power."
"Once you have finished your designs they can be easily imported to Snowflake and the information can be readily accessed without an IT expert."
"The syntax is advanced which reduces the time to write code."
"For us, the virtual warehousing is likely the most valuable aspect."
"The tool is very easy to use. The solution’s desktop features are also very easy to use. Also, the product’s SQL-based connectivity is also good. It can connect with any tool."
"The cloning functionality has been the most valuable. I have been able to completely copy databases. The data sharing concept is also useful. As compared to, for example, SAP, Snowflake is a lot more open, and it allows a lot more connectivity for other providers than an SAP ecosystem."
"I like the ability to work with a managed service on the cloud and that is easy to start with."
"We find the data sharing and data marketplace aspects of Snowflake absolutely amazing."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"The parallel load features mean that Greenplum is capable of high-volume data loading in parallel to all of the cluster segments, which is really valuable."
"The most valuable feature for me is that it is open source. The licensing costs are really low and they are transparent."
"Simple and straightforward admin portals: Made it easy for users and worked out excellently for our requirements"
"The security is great."
"It works very well with large database queries."
"Reliability for the messages is key. RabbitMQ ensures your messages are safe. They are not deleted and stuff."
"The most valuable feature is that it's really customizable."
"The pricing of the solution should be much easier to calculate or find by yourself."
"The user interface continues to be an issue, especially when we need to get data out of Snowflake. It's very easy to get data in, but it's not too easy to get it out or extract it."
"They need to incorporate some basic OLAP capabilities in the backend or at the database level. Currently, it is purely a database. They call it purely a data warehouse for the cloud. Currently, just like any database, we have to calculate all the KPIs in the front-end tools. The same KPIs again need to be calculated in Snowflake. It would be very helpful if they can include some OLAP features. This will bring efficiency because we will be able to create the KPIs within Snowflake itself and then publish them to multiple front-end tools. We won't have to recreate the same in each project. There should be the ability to automate raised queries, which is currently not possible. There should also be something for Exception Aggregation and things like that."
"Snowflake could improve if they had an Operational Data Store(ODS) space."
"The complexity of the initial setup of Snowflake depends on the use case. However, Snowflake itself, we don't set it up. The difficulty comes from the ingestion patterns, depending on what data I'm putting in, what kind of enrichment, and what additional value we have to add. However, it does tend to get complex because we have a lot of semi-structured data which we need to handle in Snowflake. There have been some challenges."
"There is a scope for improvement. They don't currently support integration with some of the Azure and AWS native services. It would be good if they can enhance their product to integrate with these services."
"Sometimes it can be tricky to manage multiple environments if you're purely using Snowflake as your scripting and pipeline environment."
"It doesn't enforce typical relational database constraints. Quite expensive."
"VMware RabbitMQ needs to create a new queue system."
"When you have complex tasks, RabbitMQ is hard to use."
"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."
"Initial setup is a little complex. It took around two weeks to deploy."
"The debugging capabilities and testing flexibilities need to be improved."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"The user interface could be improved."
"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 6th 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, Apache Kafka, Anypoint MQ, ActiveMQ and Apache Hadoop. 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.
