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 is the business intelligence (BI) part of it."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"The most valuable feature of this solution is performance."
"We can store the data in a data lake for a very low cost."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"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."
"It handles high volumes of data very well."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"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."
"Its projections and encoding are excellent tools for tuning large volumes."
"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."
"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."
"For me, It's performance, scalability, low cost, and it's integrated into enterprise and big data environments."
"Eighty percent of the ETL operations have improved since implementing this solution."
"The performance is very good and the aggregate records are fast."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"I think that the error messages need to be made more specific."
"The product does not have all of the features that the native products have."
"They need to incorporate a machine learning engine."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"It needs more compatibility with common BI tools."
"The reporting for certain types of data needs to be improved."
"I would like to see better visualization features."
"If the database is large with a lot of columns then it is difficult to clean the data."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
"It would be great if this were a managed service in AWS."
"They could improve the integration and some of the features in the cloud version."
"Performance of management of metadata layer (database catalog) needs improvement. We still have to have smaller customers on PostgreSQL; Vertica cannot manage thousands of schemata."
"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."
"The integration with AI has room for improvement."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"Limitations in group by projections is where I would like to see an 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 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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