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."It handles high volumes of data very well."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"One of the most important features is the ease of using MS SQL."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Data collection and reporting are valuable features of the solution."
"It is a stable solution...It is a scalable solution."
"The most valuable feature is the business intelligence (BI) part of it."
"The data transmissions between the data models is the most valuable feature."
"The functionality of the solution is excellent."
"Teradata's pretty fast."
"Teradata is a great, industry-leading data warehousing product that has MPP architecture."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"It has a solid set of tools and consulting services."
"Building a data warehouse with Teradata has definitely helped a lot of our downstream applications to more easily access information."
"A very good, open-source platform."
"The loading speed is very good."
"Very fast for query processing."
"Tanzu Greenplum's most valuable features include the integration of modern data science approaches across an MPP 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."
"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 most valuable feature for us is horizontal scaling."
"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."
"The product must provide more frequent updates."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It could be made more user-friendly for business users which would increase the user base."
"This solution would be improved with an option for in-memory data analysis."
"If the database is large with a lot of columns then it is difficult to clean the data."
"They need to incorporate a machine learning engine."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"It needs a teaching web site with more training on third-party tools used for BI."
"The increasing volumes of data demand more and more performance."
"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."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."
"The user interface needs to be improved."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"The setup is not straightforward."
"We would like to see Greenplum maintain a closer relationship with and parity to features implemented in PostgreSQL."
"Initial setup is a little complex. It took around two weeks to deploy."
"Lacks sufficient inbuilt machine-learning functions for complex use cases."
"One of the disadvantages, not a disadvantage with the product itself, but overall, is the expertise in the marketplace. It's not easy to find a Greenplum administrator in the market, compared to other products such as Oracle."
"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."
"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."
"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."
"I saw some limitation with respect to the column store, and removing this would be an improvement."
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