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 data transmissions between the data models is the most valuable feature."
"The solution has been reliable."
"We can store the data in a data lake for a very low cost."
"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 UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It is not a pricey product compared to other data warehouse solutions."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The performance is very good and the aggregate records are fast."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"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 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."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"We'd like to see it be a bit more compatible with other solutions."
"It could be made more user-friendly for business users which would increase the user base."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"We find the cost of the solution to be a little high."
"The product must provide more frequent updates."
"The solution is expensive and has room for improvement."
"I would like to see better visualization features."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
"Vertica's native cloud support could be improved, and its installation could be made easier."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"Documentation has become much better, but can always use some improvement."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"Suboptimal projection design causes queries to not scale linearly."
"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."
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 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, Snowflake and VMware Tanzu Greenplum, 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.