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 UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"We have complete control over our data."
"The most valuable feature for me is querying."
"It is not a pricey product compared to other data warehouse solutions."
"It performs very well overall."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The solution's integration is good."
"We can store the data in a data lake for a very low cost."
"The solution is quick, has good compression data, and is not expensive."
"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."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The product's initial setup phase is extremely simple."
"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."
"Allows us to take volumes and process them at a very high speed."
"They need to incorporate a machine learning engine."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The query is slow if we don't optimize it."
"The product does not have all of the features that the native products have."
"More tools to help designers should be included."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"It needs more compatibility with common BI tools."
"The product must provide more frequent updates."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
"It needs integration with multiple clouds."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"Documentation has become much better, but can always use some improvement."
"It would be great if this were a managed service in AWS."
"The integration of this solution with ODI could be improved."
"Support is an area where it could get better."
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.