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 way it is built and designed is valuable. The way the shared model is built and the way it exploits the power of the cloud is very good. Certain features related to administration and management, akin to Oracle Flashback and all that, are very important for modern-day administration and management. It is also good in terms of managing and improving performance, indexing, and partitioning. It is sort of completely automated. Everything is essentially under the hood, and the engine takes care of it all. As a data warehouse on the cloud, Snowflake stands strong on its ground even though each of the cloud providers has its own data warehouse, such as Redshift for AWS or Synapse for Azure."
"The syntax is advanced which reduces the time to write code."
"Snowflake is scalable both in terms of the amount of data that you can run through it and the number of users that engage with it."
"It requires no maintenance on our part. They handle all that. The speed is phenomenal. The pricing isn't really anything more than what you would be paying for a SQL server license or another tool to execute the same thing. We have zero maintenance on our side to do anything and the speed at which it performs queries and loads the data is amazing. It handles unstructured data extremely well, too. So, if the data is in a JSON array or an XML, it handles that super well."
"The solution is stable."
"The best thing about Snowflake is its flexibility in changing warehouse sizes or computational power."
"I like Snowflake's data exchange capabilities. It can exchange data with downstream systems and other vendor partners as well."
"The Mbps they have established is quite a bit faster than any other data warehouse."
"It works very well with large database queries."
"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."
"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."
"Pivotal Greenplum's shared-nothing architecture."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"The loading speed is very good."
"With VMware Tanzu Greenplum, one can make a huge database table and analyze the queries by adding in the SQL command. Some hint or command for the query goes over the multi-parallel execution."
"It would benefit from an administration that allows you to be aware of your credit consumption once you have the service so that you may be sure how many credits you are consuming when you use the platform and to make sure that you are making the most efficient use of these resources. In other words, to improve their interface so that you may monitor the consumption of your credits on Cloud."
"I would like to see a client version of the GUI."
"The pricing of the solution should be much easier to calculate or find by yourself."
"The solution could use a little bit more UI."
"I don't know about GCP, if they have connected for GCP. If they don't, they should allow for it."
"Its pricing or affordability is one of the big challenges. Pricing was the only thing that we didn't like about Snowflake. In terms of technical features, it is a complete solution."
"Currently, Snowflake doesn't support unstructured data."
"We would like to have an on-premises deployment option that has the same features, including scalability."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"Initial setup is a little complex. It took around two weeks to deploy."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"Extra filters would be helpful."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
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 Amazon Redshift. 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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