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."
"We can store the data in a data lake for a very low cost."
"Tools like the BI and SAS are excellent."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"One of the most important features is the ease of using MS SQL."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature is the business intelligence (BI) part of it."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The most valuable feature of Vertica is the ability to receive large aggregations at a very quick pace. The use case of subclusters is very good."
"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."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"I have found the solution to be scalable."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"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."
"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."
"The product must provide more frequent updates."
"I would like to see better visualization features."
"The reporting for certain types of data needs to be improved."
"More tools to help designers should be included."
"We find the cost of the solution to be a little high."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I think that the error messages need to be made more specific."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Limitations in group by projections is where I would like to see an improvement."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"Support is an area where it could get better."
"It would be great if this were a managed service in AWS."
"It needs integration with multiple clouds."
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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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