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."
"The solution's integration is good."
"Tools like the BI and SAS are excellent."
"We have complete control over our data."
"The most valuable feature for me is querying."
"Data collection and reporting are valuable features of the solution."
"The most valuable features are the performance and usability."
"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."
"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."
"We are able to integrate our Vertica data warehouse with Tableau to create numerous reports quickly and efficiently."
"Vertica is a columnar database, this support our developments in analytics, advanced analytics, and ETL process with large sets of data."
"I appreciate the flexibility offered by Vertica's projections. It allows for modifying the primary projection without altering the tables, which helps to optimize queries without the need to modify the underlying data."
"Integrated R and geospatial functions are helping us improve efficiency and explore new revenue streams. "
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"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 must provide more frequent updates."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"This solution would be improved with an option for in-memory data analysis."
"More tools to help designers should be included."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"I would like the tool to support different operating systems."
"If the database is large with a lot of columns then it is difficult to clean the data."
"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."
"They could improve on customer service."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"Support is an area where it could get better."
"It needs integration with multiple clouds."
"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."
"The integration of this solution with ODI could be improved."
"Metadata for database files scale okay, but metadata related to tables/columns/sequences must be stored on all nodes."
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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, Snowflake and VMware Tanzu Greenplum, 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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