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."Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"It handles high volumes of data very well."
"Data collection and reporting are valuable features of the solution."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature for me is querying."
"It is not a pricey product compared to other data warehouse solutions."
"Tools like the BI and SAS are excellent."
"We can store the data in a data lake for a very low cost."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"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 product's initial setup phase is extremely simple."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"Vertica gives knowledgeable users and DBAs excellent tools for tuning."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"It could be made more user-friendly for business users which would increase the user base."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"I would like the tool to support different operating systems."
"The reporting for certain types of data needs to be improved."
"The product must provide more frequent updates."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It could offer more development across the solution."
"Very bad support, I would rate it two out of 10."
"The geospatial functionality could be designed better."
"Support is an area where it could get better."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"I have found that coding support could be simplified."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"They could improve the integration and some of the features in the cloud version."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
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Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 12 reviews while Vertica is ranked 4th in Data Warehouse with 10 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Vertica is rated 8.4. The top reviewer of Microsoft Parallel Data Warehouse writes "User-friendly UI and good support". On the other hand, the top reviewer of Vertica writes "Reliable and feature-rich, with optimization techniques to fine-tune queries for faster report generation". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum, 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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