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 solution has been reliable."
"It is a stable solution...It is a scalable solution."
"It performs very well overall."
"It is not a pricey product compared to other data warehouse solutions."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Data collection and reporting are valuable features of the solution."
"Tools like the BI and SAS are excellent."
"The solution's integration is good."
"The Vertica architecture means it can process/ingest data in parallel to reporting and analyzing because of its in-memory Write-Optimized Storage sitting alongside the analytics optimized Read-Optimized Storage."
"Vertica is a great product because customers can compress and code data. The infrastructure that data warehouse solutions need is a commodity server so that customers don't have to invest in infrastructure."
"Vertica's most outstanding features are the compression rates achieved and the speed of access of high volume data."
"Allows us to take volumes and process them at a very high speed."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"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 quick, has good compression data, and is not expensive."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"The product must provide more frequent updates."
"I would like to see better visualization features."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"The product does not have all of the features that the native products have."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"We'd like to see it be a bit more compatible with other solutions."
"In the future I would love to see a slightly better automation engine, just for the data integration layer, to make it slightly easier for end-users or junior developers to get involved in incremental updating."
"It's hard to make it slow for a small data volume. For large volumes, it's hard to make it work. It's also hard to make it faster, and to make it scale."
"They could improve on customer service."
"I have found that coding support could be simplified."
"If you do not utilize the tuning tools like projections, encoding, partitions, and statistics, then performance and scalability will suffer."
"I believe the installation process could be streamlined."
"One feature, which has really benefited us, is the scalability offered by Vertica as it has enabled Pythian's clients to manage data with agility."
"The integration of this solution with ODI could be improved."
"Vertica offers a platform-as-a-service version, but their software-as-a-service solution is only available on AWS. They need to get a SaaS version on Azure and GCP as fast as possible."
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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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