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."
"We have complete control over our data."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"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."
"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."
"The solution has great capabilities. The tool that instructs the internal database forward is easy to use and is very powerful."
"I enjoy the cybersecurity and backup features."
"Vertica has a few features that I like. From an architecture standpoint, they have separated compute and storage. So you have low-cost object storage for primary storage and the ability to have several sub-clusters working off the same ObjectStore. So it provides workload isolation."
"The most valuable feature of Vertica is the unmatchable database 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 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."
"The query is slow if we don't optimize it."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"We'd like to see it be a bit more compatible with other solutions."
"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 biggest problem is the cost of cloud deployment."
"They could improve on customer service."
"In a future release, we would like to have artificial intelligence capabilities like neural networks. Customers are demanding this type of analytics."
"I think they need an easy client so that you can write queries easily, but it's not necessarily a weak point. I think some users would need them."
"Promotion/marketing must be improved, even though it is a very useful product at very good price, it is not as "popular" as it should be."
"I have found that coding support could 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."
Microsoft Parallel Data Warehouse is ranked 15th in Data Warehouse with 3 reviews while Vertica is ranked 4th in Data Warehouse with 14 reviews. Microsoft Parallel Data Warehouse is rated 7.4, while Vertica is rated 8.6. The top reviewer of Microsoft Parallel Data Warehouse writes "The admission tools, BI tools, and data warehousing tools are great". On the other hand, the top reviewer of Vertica writes "Enhanced capabilities, good customer service, large data scalability and stable". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake, SAP BW4HANA and Apache Hadoop, whereas Vertica is most compared with Snowflake, Teradata, Amazon Redshift, SQL Server and Oracle Exadata. See our Microsoft Parallel Data Warehouse vs. Vertica report.
See our list of best Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
