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 most valuable feature for me is querying."
"The most valuable feature is the business intelligence (BI) part of it."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The most valuable feature of this solution is performance."
"The data transmissions between the data models is the most valuable feature."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable features are the performance and usability."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"The extensibility and efficiency provided by their C++ SDK."
"Speed and resiliency are probably the best parts of this product."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"Eighty percent of the ETL operations have improved since implementing this solution."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"I like the projection feature, which increases query performance."
"The reporting for certain types of data needs to be improved."
"More tools to help designers should be included."
"I would like to see better visualization features."
"We find the cost of the solution to be a little high."
"The query is slow if we don't optimize it."
"The product does not have all of the features that the native products have."
"It needs more compatibility with common BI tools."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"I have found that coding support could be simplified."
"Documentation has become much better, but can always use some improvement."
"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."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
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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 82 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Vertica is rated 8.4. 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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