We performed a comparison between Microsoft Parallel Data Warehouse, Teradata, and VMware Tanzu Greenplum based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse.
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"I am very satisfied with the customer service/technical support."
"It performs very well overall."
"The most valuable features are the performance and usability."
"Tools like the BI and SAS are excellent."
"Data collection and reporting are valuable features of the solution."
"It handles high volumes of data very well."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"It has a solid set of tools and consulting services."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"I've never had any issues with scalability."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"Teradata's best feature is its speed with historical data."
"Teradata solutions help organizations reduce IT, operations, and maintenance costs; enhance on-time delivery of products and services."
"Pivotal Greenplum's shared-nothing architecture."
"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."
"Helps us to achieve large-scale analytics."
"A very good, open-source platform."
"The most valuable feature for us is horizontal scaling."
"It works very well with large database queries."
"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."
"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."
"I would like to see better visualization features."
"The product must provide more frequent updates."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"It could be made more user-friendly for business users which would increase the user base."
"We'd like to see it be a bit more compatible with other solutions."
"The solution is expensive and has room for improvement."
"More tools to help designers should be included."
"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."
"Teradata's UI could be improved."
"The solution needs improvement in its stability, support and pricing."
"I'm not sure about the unstructured data management capabilities. It could be improved."
"It needs a teaching web site with more training on third-party tools used for BI."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."
"VMware Tanzu Greenplum needs improvement in the memory area and improved methods for quick access to the disc. So, one of the quick goals of Greenplum must work on enhancing access to the disc by adding hints in the database."
"Maintenance is time-consuming."
"The installation is difficult and should be made easier."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"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."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"The initial setup is somewhat complex and the out-of-the-box configuration requires optimization."
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