We performed a comparison between Microsoft Parallel Data Warehouse and Vertica 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 UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The most valuable feature is the business intelligence (BI) part of it."
"It handles high volumes of data very well."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"I am very satisfied with the customer service/technical support."
"The solution's integration is good."
"It is not a pricey product compared to other data warehouse solutions."
"The most valuable feature of this solution is performance."
"We are also opening new areas of business and potential new revenue streams using Vertica's analytic functions, most notably geospatial, where we are able to run billions of comparisons of lat/long point locations against polygon and point/radius locations in seconds. "
"The solution is quick, has good compression data, and is not expensive."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"The extensibility and efficiency provided by their C++ SDK."
"Eighty percent of the ETL operations have improved since implementing this solution."
"I like the projection feature, which increases query performance."
"The product's initial setup phase is extremely simple."
"The query is slow if we don't optimize it."
"It needs more compatibility with common BI tools."
"They need to incorporate a machine learning engine."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The product must provide more frequent updates."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The product does not have all of the features that the native products have."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"It would be great if this were a managed service in AWS."
"I have found that coding support could be simplified."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"We faced some challenges when trying to use the temporary tables feature."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews while Vertica is ranked 4th in Data Warehouse with 83 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Vertica is rated 8.2. The top reviewer of Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". On the other hand, the top reviewer of Vertica writes " A user-friendly tool that needs to improve its documentation part". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake, whereas Vertica is most compared with Snowflake, SQL Server, Amazon Redshift, Teradata and Oracle Exadata. See our Microsoft Parallel Data Warehouse vs. Vertica report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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