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 not a pricey product compared to other data warehouse solutions."
"The solution has been reliable."
"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."
"It is a very stable database."
"Tools like the BI and SAS are excellent."
"The data transmissions between the data models is the most valuable feature."
"It handles high volumes of data very well."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"Bulk loads, batch loads, and micro-batch loads have made it possible for our organization to process near real-time ingestions and faster analytics."
"Eighty percent of the ETL operations have improved since implementing this solution."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"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."
"The solution is quick, has good compression data, and is not expensive."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"The product must provide more frequent updates."
"The product does not have all of the features that the native products have."
"The reporting for certain types of data needs to be improved."
"If the database is large with a lot of columns then it is difficult to clean the data."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"I would like the tool to support different operating systems."
"More tools to help designers should be included."
"We find the cost of the solution to be a little high."
"They could improve on customer service."
"The integration of this solution with ODI could be improved."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"The integration with AI has room for improvement."
"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."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"The biggest problem is the cost of cloud deployment."
"Vertica's native cloud support could be improved, and its installation could be made easier."
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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 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, 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.