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."The most valuable feature of this solution is performance."
"We can store the data in a data lake for a very low cost."
"It is a stable solution...It is a scalable solution."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"One of the most important features is the ease of using MS SQL."
"Data collection and reporting are valuable features of the solution."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Speed and resiliency are probably the best parts of this product."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"The solution is quick, has good compression data, and is not expensive."
"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 product's initial setup phase is extremely simple."
"It maximizes cloud economics with Eon Mode by scaling cluster size to meet variable workload demands."
"Its projections and encoding are excellent tools for tuning large volumes."
"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."
"The solution is expensive and has room for improvement."
"I would like to see better visualization features."
"The product must provide more frequent updates."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It could be made more user-friendly for business users which would increase the user base."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"The product does not have all of the features that the native products have."
"When it is about to reach the maximum storage capacity, it becomes slow."
"Support is an area where it could get better."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"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 documentation of Vertica is an area with shortcomings where improvements are required."
"The integration of this solution with ODI could be improved."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
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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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