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."
"The most valuable feature for me is querying."
"The solution's integration is good."
"We have complete control over our data."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The data transmissions between the data models is the most valuable feature."
"The solution has been reliable."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"Speed and resiliency are probably the best parts of this product."
"I have found the solution to be scalable."
"I like the projection feature, which increases query performance."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"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."
"It has improved my organization's functionality and 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. "
"I think that the error messages need to be made more specific."
"We find the cost of the solution to be a little high."
"We'd like to see it be a bit more compatible with other solutions."
"This solution would be improved with an option for in-memory data analysis."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It needs more compatibility with common BI tools."
"The query is slow if we don't optimize it."
"If the database is large with a lot of columns then it is difficult to clean the data."
"Limitations in group by projections is where I would like to see an improvement."
"Suboptimal projection design causes queries to not scale linearly."
"Fact-to-fact joins on multi-billion record tables perform poorly."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Very bad support, I would rate it two out of 10."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"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."
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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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