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."It was relatively easy to use, and it was easy for people to convert to it."
"The most valuable feature has been the Snowflake data sharing and dynamic data masking."
"Once you have finished your designs they can be easily imported to Snowflake and the information can be readily accessed without an IT expert."
"It is a very easy-to-use solution. It is user-friendly, and its setup time is very less."
"Data Science capabilities are the most valuable feature."
"Snowflake is an enormously useful platform. The Snowpipe feature is valuable because it allows us to load terabytes and petabytes of data into the data mart at a very low cost."
"It is a very good platform. It can handle structured and semi-structured data, and it can be used for your data warehouse or data lake. It can load and deal with any data that you have. It can extract data from an on-premises database or a website and make it available in the cloud. It has very fast implementation and integration as compared to other solutions. There is no need for the DBA to manage or do the day-to-day DBA tasks, which is one of the greatest things about it."
"The syntax is advanced which reduces the time to write code."
"It can be configured to be a very fast message broker. I like the stability, the built-in admin tools and plugin architecture."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"A very good, open-source platform."
"Scalability is simple because it's an MPP database. If you need more processing power or you need more storage, you just add a few more nodes in the cluster. It works on common commodity hardware. You can use any type of server. You don't need to have proprietary hardware. It's fairly flexible."
"RabbitMQ will help to remove a lot of the complexities and create a loosely coupled codebase."
"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."
"We chose Greenplum because of the architecture in terms of clustering databases and being able to have, or at least utilize the resources that are sitting on a database."
"The solution's best feature is its exceptional speed, delivering efficient utilization of resources."
"It would be helpful if Snowflake could create good reports instead of using Power BI reports."
"This solution could be improved by offering machine learning apps."
"The data sharing capabilities across business units within the organization should be better."
"Snowflake has to build more capabilities because they have only built very few adapters, but they're growing and they're building. They should provide provisions to collect ETL pipeline capabilities, reduce developer work, and make more rapid application development, rather than some customizations. There are very few options, but they are building. I hope they will build ETL rapid application development provisions with more variety."
"The pricing of the solution should be much easier to calculate or find by yourself."
"These days, they are pushing users towards the GUI or graphical version. However, I am more familiar with the classic version. I'd like to continue to work with it using the older approach."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"Snowflake could improve migration. It should be made easier. It would be beneficial if it could offer some OLTP features. One of our customers was using Oracle for both data warehousing and OLTP workloads, and they were able to migrate their data warehousing workloads to Snowflake without major issues. However, for some of their OLTP requirements, such as needing a response time of fewer than 10 milliseconds for certain queries, Snowflake is currently unable to provide that."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"It doesn't have any GUI-based monitoring tools."
"The availability could be better."
"VMware RabbitMQ's configuration process could be easier to understand."
"The solution needs improvement on performance."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"The initial deployment was a little difficult."
"We needed to configure additional plugins. While it was relatively easy to do this on-premises, it became more challenging in the cloud."
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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