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 handles high volumes of data very well."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"We have complete control over our data."
"We can store the data in a data lake for a very low cost."
"I am very satisfied with the customer service/technical support."
"The most valuable feature of this solution is performance."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is not a pricey product compared to other data warehouse solutions."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"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."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"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."
"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. "
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"It could be made more user-friendly for business users which would increase the user base."
"They need to incorporate a machine learning engine."
"We'd like to see it be a bit more compatible with other solutions."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"The reporting for certain types of data needs to be improved."
"This solution would be improved with an option for in-memory data analysis."
"I think that the error messages need to be made more specific."
"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."
"We faced some challenges when trying to use the temporary tables feature."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"The biggest problem is the cost of cloud deployment."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"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."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"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."
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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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