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."The most valuable features are the performance and usability."
"It handles high volumes of data very well."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It performs very well overall."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The solution's integration is good."
"It is a stable solution...It is a scalable solution."
"Speed and resiliency are probably the best parts of this product."
"I like the projection feature, which increases query performance."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"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 maximize cloud economics for mission-critical big data analytical initiatives."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"They need to incorporate a machine learning engine."
"More tools to help designers should be included."
"It could offer more development across the solution."
"The product must provide more frequent updates."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"We find the cost of the solution to be a little high."
"I think that the error messages need to be made more specific."
"It needs integration with multiple clouds."
"It would be great if this were a managed service in AWS."
"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."
"Suboptimal projection design causes queries to not scale linearly."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"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."
"They could improve on customer service."
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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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