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."We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The most valuable features are the performance and usability."
"It is not a pricey product compared to other data warehouse solutions."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It is a very stable database."
"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."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The solution is quick, has good compression data, and is not expensive."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"Its projections and encoding are excellent tools for tuning large volumes."
"I have found the solution to be scalable."
"I like the projection feature, which increases query performance."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The query is slow if we don't optimize it."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I would like to see better visualization features."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"If the database is large with a lot of columns then it is difficult to clean the data."
"We find the cost of the solution to be a little high."
"I would like the tool to support different operating systems."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Documentation has become much better, but can always use some improvement."
"We faced some challenges when trying to use the temporary tables feature."
"Suboptimal projection design causes queries to not scale linearly."
"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."
"Limitations in group by projections is where I would like to see an improvement."
"I have found that coding support could be simplified."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
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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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