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."We have complete control over our data."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The solution has been reliable."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The hardware usage and speed has been the most valuable feature of this solution. It is very fast and has saved us a lot of money."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"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."
"Vertica is a columnar database where the query performance is extremely fast and it can be used for real-time integrations for API and other applications. The solution requires zero maintenance which is helpful."
"The most valuable feature is Vertica's performance and the ease of using the database."
"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."
"The query is slow if we don't optimize it."
"We'd like to see it be a bit more compatible with other solutions."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"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."
"The biggest problem is the cost of cloud deployment."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Support is an area where it could get better."
"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."
"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."
"They could improve the integration and some of the features in the cloud version."
Microsoft Parallel Data Warehouse is ranked 14th in Data Warehouse with 3 reviews while Vertica is ranked 4th in Data Warehouse with 12 reviews. Microsoft Parallel Data Warehouse is rated 7.4, while Vertica is rated 8.6. The top reviewer of Microsoft Parallel Data Warehouse writes "The admission tools, BI tools, and data warehousing tools are great". On the other hand, the top reviewer of Vertica writes "Scalable and high-performing with near real-time analytics". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, SAP BW4HANA and Azure Data Factory, whereas Vertica is most compared with Snowflake, Amazon Redshift, Teradata, SQL Server and Oracle Exadata. See our Microsoft Parallel Data Warehouse vs. Vertica report.
See our list of best 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.
