We performed a comparison between Microsoft Azure Synapse Analytics 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."Overall deployment and integration is pretty fast."
"It's user-friendly and has a good dashboard."
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"I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works."
"We can have the dedicated SQL up and running within 15 minutes."
"Microsoft provides both the platform and the data center, so you don't have to look for a cloud vendor. It saves you from having to deal with two vendors for the same task."
"The initial setup was really easy and straightforward."
"I like how Microsoft Azure Synapse Analytics integrates with other Microsoft solutions."
"It's super easy to deploy and it also supports different languages and analytics."
"A very good, open-source platform."
"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."
"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."
"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 works very well with large database queries."
"The loading speed is very good."
"I am very sure that there are areas in need of improvement, but I can't recall what they are off the top of my head."
"It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill."
"It needs strong support for social media, internet data, and native support for NoSQL."
"Microsoft Azure Synapse Analytics can improve by increasing the size of the files that we can load on the platform. We have some files that are too large to be loaded and it would be a benefit to us if the limit was increased. Additionally, the way we use the tool for generating reports can be made better. They should add some drag-and-drop rules without the need of programming these rules using some programming language. It would be helpful if we did not need someone that was technically advanced to be able to do it with, such as someone with no IT background. Having a reporting tool without code would be great."
"It would be of interest to improve things like the web service integration and availability in terms of being easy to create internal web services in the database."
"This is a young product in transition to the cloud and it needs more work before it is both settled as a product and competitive in the market."
"Synapse Analytics' performance slows down if you don't get your distribution right because it gets queued and goes into a single node."
"When I was trying to link services to an SFTP site it was not able to do all the possible encryption that I needed. They can improve by adding more encryption options."
"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."
"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."
"It will be very useful if we could communicate with other database types from Greenplum (using a database link)."
"If you have a user consuming a huge load of resources, it takes down the entire system."
"Maintenance is time-consuming."
"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."
"Some integration with other platforms like design tools, and ETL development tools, that will enable some advanced functionality, like fully down processing, etc."
"The installation is difficult and should be made easier."
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Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while VMware Tanzu Greenplum is ranked 9th in Data Warehouse with 36 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while VMware Tanzu Greenplum is rated 7.8. The top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". 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". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata, whereas VMware Tanzu Greenplum is most compared with Oracle Exadata, Vertica, Oracle Database Appliance, Apache Hadoop and Snowflake. See our Microsoft Azure Synapse Analytics vs. VMware Tanzu Greenplum report.
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