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 has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"One of the most important features is the ease of using MS SQL."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The solution's integration is good."
"It is not a pricey product compared to other data warehouse solutions."
"Tools like the BI and SAS are excellent."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable feature of Vertica is the unmatchable database performance."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"Partition and join back to node are easy and simple for DBAs."
"The feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"It has improved my organization's functionality and performance."
"The feature I like best is performance. We use Red Tool and Red Job for the data warehouse and reporting. It's perfect. Performance is good, and it can return ad hoc queries very quickly. Of course, it's a cluster, so it's easy to scale."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It could be made more user-friendly for business users which would increase the user base."
"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."
"The product does not have all of the features that the native products have."
"We'd like to see it be a bit more compatible with other solutions."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The product must provide more frequent updates."
"Support is an area where it could get better."
"It needs integration with multiple clouds."
"Suboptimal projection design causes queries to not scale linearly."
"The integration with AI has room for improvement."
"They could improve the integration and some of the features in the cloud version."
"Limitations in group by projections is where I would like to see an improvement."
"It would be great if this were a managed service in AWS."
"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."
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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.
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.
