We performed a comparison between Amazon Redshift 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."Though Amazon Redshift is good, it depends on what kind of business you're trying to do, what type of analytics you need, and how much data you have."
"In terms of valuable features, I like the columnar storage that Redshift provides. The storage is one of the key features that we're looking for. Also, the data updates and the latency between the data-refreshes."
"We have found Machine Learning use cases are very nice."
"Redshift Spectrum is the most valuable feature."
"The most valuable feature is the scalability, as it grows according to our needs."
"The solution is scalable. It handles different loads very well."
"Amazon Redshift offers a relatively flexible structure...I rate the technical support a nine out of ten."
"The processing of data is very fast."
"Helps us to achieve large-scale analytics."
"A very good, open-source platform."
"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."
"Very fast for query processing."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP platform."
"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."
"It works very well with large database queries."
"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."
"It would be nice if we could turn off an instance. However, it would retain the instance in history, thus allowing us to restart without beginning from scratch."
"Amazon Redshift does not have the capability to dynamically increase the VM file."
"Planting is the primary key enforcement that should be improved."
"The technical support should be better in terms of their knowledge, and they should be more customer-friendly."
"The product must become a bit more serverless."
"In our experiments, the handling of unstructured data was not very smooth."
"In terms of improvement, I believe Amazon Redshift could work on reducing its costs, as they tend to increase significantly. Additionally, there are occasional issues with nodes going down, which can be problematic."
"AWS Snowflake has a very good feature for cloning databases. It makes it easy to clone a data warehouse, which is useful. I would like to see this feature in Redshift."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
"Extra filters would be helpful."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"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."
"Tanzu Greenplum's compression for GPText could be made more efficient."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 58 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Amazon Redshift is rated 7.8, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Amazon Redshift writes "Provides one place where we can store data, and allows us to easily connect to other services with AWS". 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". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Vertica, Teradata and IBM Netezza Performance Server, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Teradata. See our Amazon Redshift vs. VMware Tanzu Greenplum 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.
