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."I am very satisfied with the customer service/technical support."
"It performs very well overall."
"Tools like the BI and SAS are excellent."
"One of the most important features is the ease of using MS SQL."
"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."
"The most valuable feature of this solution is performance."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Eighty percent of the ETL operations have improved since implementing this solution."
"Speed and resiliency are probably the best parts of this product."
"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. "
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"The extensibility and efficiency provided by their C++ SDK."
"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."
"I like the projection feature, which increases query performance."
"I have found the solution to be scalable."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"The solution is expensive and has room for improvement."
"It needs more compatibility with common BI tools."
"It could offer more development across the solution."
"It could be made more user-friendly for business users which would increase the user base."
"The reporting for certain types of data needs to be improved."
"More tools to help designers should be included."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"It needs integration with multiple clouds."
"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."
"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."
"When it is about to reach the maximum storage capacity, it becomes slow."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"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."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
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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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