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 has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"One of the most important features is the ease of using MS SQL."
"The most valuable feature for me is querying."
"The most valuable feature is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"It is not a pricey product compared to other data warehouse solutions."
"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."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"The product's initial setup phase is extremely simple."
"The fast columnar store database structure allows our query times to be at least 10x faster than on any other database."
"Partition and join back to node are easy and simple for DBAs."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"I would like the tool to support different operating systems."
"The reporting for certain types of data needs to be improved."
"It could offer more development across the solution."
"They need to incorporate a machine learning engine."
"It could be made more user-friendly for business users which would increase the user base."
"The query is slow if we don't optimize it."
"We find the cost of the solution to be a little high."
"I have found that coding support could be simplified."
"They could improve the integration and some of the features in the cloud version."
"We are looking for a cheaper deployment for the solution. Although we did a lot of benchmarks, like Redshift. We tried Redshift, it didn't work. It didn't work out for us as well."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"The integration of this solution with ODI could be improved."
"They could improve on customer service."
"Whatever's out, the core is not always as great as the engine, especially their first version."
"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."
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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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