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 is not a pricey product compared to other data warehouse solutions."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is a very stable database."
"The solution's integration is good."
"The solution has been reliable."
"It performs very well overall."
"It is a stable solution...It is a scalable solution."
"We can store the data in a data lake for a very low cost."
"It maximize cloud economics for mission-critical big data analytical initiatives."
"The most valuable feature of Vertica is the unmatchable database performance."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"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 performance is very good and the aggregate records are fast."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"We find the cost of the solution to be a little high."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"This solution would be improved with an option for in-memory data analysis."
"It could be made more user-friendly for business users which would increase the user base."
"The query is slow if we don't optimize it."
"I would like the tool to support different operating systems."
"It should provide a GUI interface for data management and tuning."
"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."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"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."
"I have found that coding support could be simplified."
"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."
"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."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
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.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.