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."It is not a pricey product compared to other data warehouse solutions."
"We have complete control over our data."
"It is a stable solution...It is a scalable solution."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The most valuable feature for me is querying."
"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."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The solution's integration is good."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"Partition and join back to node are easy and simple for DBAs."
"The most valuable feature of Vertica is the unmatchable database performance."
"Speed and resiliency are probably the best parts of this product."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"I have found the solution to be scalable."
"The product's initial setup phase is extremely simple."
"We'd like to see it be a bit more compatible with other solutions."
"It needs more compatibility with common BI tools."
"I think that the error messages need to be made more specific."
"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."
"This solution would be improved with an option for in-memory data analysis."
"It could offer more development across the solution."
"The product must provide more frequent updates."
"The product does not have all of the features that the native products have."
"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."
"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."
"Limitations in group by projections is where I would like to see an improvement."
"The integration of this solution with ODI could be improved."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"The geospatial functionality could be designed better."
"Fact-to-fact joins on multi-billion record tables perform poorly."
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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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