We performed a comparison between Snowflake and VMware Tanzu Greenplum 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 feature of Snowflake is its performance. We can access the data quickly. Additionally, it handles structured and non-structured data."
"It is a very easy-to-use solution. It is user-friendly, and its setup time is very less."
"The solution is stable."
"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."
"The product is quite fast."
"It is a highly scalable solution. There is no limit on storage or computing."
"The adaptation to development languages is most valuable. Our developers can SQL code or something else. It has been convenient in that regard."
"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."
"It's super easy to deploy and it also supports different languages and analytics."
"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."
"It's one of the fastest databases in the market. It's easy to use. From a maintenance perspective it's a good product. The segmentation, or architecture of the product is different than other databases such as Oracle. So even in 10 years, the data distribution for such segments will not affect other segments. The query performance of the product, for complex queries, is very good. It has good integration with Hadoop."
"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."
"Very fast for query processing."
"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."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"A very good, open-source platform."
"The product's performance could be improved."
"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."
"Snowflake needs to improve its programming part. Though the tool has Snowpath, it doesn’t support all features like its competitor, Databricks. Snowflake doesn’t support external data ingestion capabilities. You need to have third-party tools for that. Also, the tool needs to incorporate data integration features in its future releases."
"Maybe there could be some more connectors to other systems, but this is what they are constantly developing anyway."
"The solution could improve the user interface and add functionality to the system."
"More data governance and access control features would be a welcome addition."
"I have heard people having difficulty with the machine learning model, so there may be room for improvement."
"The design of the product is easily misunderstood."
"They need to enhance integration with other Big Data products... to integrate with Big Data platforms, and to open a bi-directional connection between Greenplum and Big Data."
"Implementation takes a long time."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"The installation is difficult and should be made easier."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
Snowflake is ranked 1st in Data Warehouse with 92 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Snowflake is rated 8.4, while VMware Tanzu Greenplum is rated 7.8. 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 Greenplum writes "Very efficient at large scale analytics; lacks inbuilt machine-learning functions for complex use cases". Snowflake is most compared with BigQuery, Azure Data Factory, Teradata, Vertica and AWS Lake Formation, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Teradata. See our Snowflake vs. VMware Tanzu Greenplum report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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