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 for me is querying."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The data transmissions between the data models is the most valuable feature."
"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."
"Data collection and reporting are valuable features of the solution."
"It performs very well overall."
"The solution's integration is good."
"It's the fastest database I have ever tested. That's the most important feature of Vertica."
"The extensibility and efficiency provided by their C++ SDK."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"I enjoy the cybersecurity and backup features."
"It has improved my organization's functionality and performance."
"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 feature of the product that is most important is the speed. I needed a columnar database, and its speed is what it's built to do, and so that's what really does differentiate Vertica from its competitors."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"The product must provide more frequent updates."
"We find the cost of the solution to be a little high."
"They need to incorporate a machine learning engine."
"I think that the error messages need to be made more specific."
"This solution would be improved with an option for in-memory data analysis."
"The reporting for certain types of data needs to be improved."
"The product does not have all of the features that the native products have."
"The solution is expensive and 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."
"I have found that coding support could be simplified."
"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."
"It should provide a GUI interface for data management and tuning."
"Vertica can improve automation and documentation. Additionally, the solution can be simplified."
"In my opinion, Vertica's documentation could be improved. Currently, there is not enough documentation available to gain a comprehensive understanding of the platform."
"Documentation has become much better, but can always use some improvement."
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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.
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