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 performs very well overall."
"One of the most important features is the ease of using MS SQL."
"The solution's integration is good."
"The most valuable feature for me is querying."
"The most valuable features are the performance and usability."
"The most valuable feature of this solution is performance."
"We have complete control over our data."
"The data transmissions between the data models is the most valuable feature."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"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."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"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."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like to see better visualization features."
"I would like the tool to support different operating systems."
"The query is slow if we don't optimize it."
"I think that the error messages need to be made more specific."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"When it is about to reach the maximum storage capacity, it becomes slow."
"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."
"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."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"The integration with AI has room for improvement."
"Vertica's native cloud support could be improved, and its installation could be made easier."
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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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