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 solution's integration is good."
"One of the most important features is the ease of using MS SQL."
"It is not a pricey product compared to other data warehouse solutions."
"Data collection and reporting are valuable features of the solution."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Tools like the BI and SAS are excellent."
"The most valuable features are the performance and usability."
"It is a very stable database."
"It has improved my organization's functionality and performance."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"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."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"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 extensibility and efficiency provided by their C++ SDK."
"The performance is very good and the aggregate records are fast."
"Eighty percent of the ETL operations have improved since implementing this solution."
"The solution is expensive and has room for improvement."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The product must provide more frequent updates."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"It needs more compatibility with common BI tools."
"The query is slow if we don't optimize it."
"More tools to help designers should be included."
"The product does not have all of the features that the native products have."
"We faced some challenges when trying to use the temporary tables feature."
"The geospatial functionality could be designed better."
"Documentation has become much better, but can always use some improvement."
"It should provide a GUI interface for data management and tuning."
"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."
"It needs integration with multiple clouds."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"The integration with AI has room for improvement."
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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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