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 are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable feature for me is querying."
"It is not a pricey product compared to other data warehouse solutions."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"The most valuable feature is the business intelligence (BI) part of it."
"It is a very stable database."
"Tools like the BI and SAS are excellent."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Partition and join back to node are easy and simple for DBAs."
"Allows us to take volumes and process them at a very high speed."
"The solution is quick, has good compression data, and is not expensive."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"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."
"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."
"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."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The product does not have all of the features that the native products have."
"This solution would be improved with an option for in-memory data analysis."
"More tools to help designers should be included."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would like the tool to support different operating systems."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"There are a lot of limitations within this product and it makes things extremely hard for developers. It lacks Stored Procedure, packages, and triggers like other RDBMs."
"It needs integration with multiple clouds."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"I have found that coding support could be simplified."
"They could improve the integration and some of the features in the cloud version."
"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."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"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."
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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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