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 a very stable database."
"It performs very well overall."
"Data collection and reporting are valuable features of the solution."
"The most valuable feature is the business intelligence (BI) part of it."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable features are the performance and usability."
"I am very satisfied with the customer service/technical support."
"We can store the data in a data lake for a very low cost."
"Partition and join back to node are easy and simple for DBAs."
"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 is Vertica's performance and the ease of using the database."
"Allows us to take volumes and process them at a very high speed."
"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 of Vertica is the unmatchable database performance."
"Speed and resiliency are probably the best parts of this product."
"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 product does not have all of the features that the native products have."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The reporting for certain types of data needs to be improved."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"More tools to help designers should be included."
"It could offer more development across the solution."
"It needs more compatibility with common BI tools."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"Suboptimal projection design causes queries to not scale linearly."
"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."
"We faced some challenges when trying to use the temporary tables feature."
"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."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"Very bad support, I would rate it two out of 10."
"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."
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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.
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