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."Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The solution's integration is good."
"Tools like the BI and SAS are excellent."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The most valuable features are the performance and usability."
"The most valuable feature of this solution is performance."
"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."
"I have found the solution to be scalable."
"Initiate on one node, and the RPM propagates automatically to all other nodes. "
"I like the projection feature, which increases query performance."
"Its analytics has enabled Pythian's clients to get the business insights as quick as they wanted. Its lower maintenance has also improved the ROI."
"Vertica enabled us to close large deals. Customers with large data sets had to be migrated from PostgreSQL to Vertica due to performance."
"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."
"Any novice user can tune vertical queries with minimal training (or no training at all)."
"I would like to see better visualization features."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"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."
"The product must provide more frequent updates."
"It could be made more user-friendly for business users which would increase the user base."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The biggest problem is the cost of cloud deployment."
"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."
"Monitoring tools need to be lightweight. They should not take up heavy resources of the main server."
"Vertica seems to scale well, except for one use case where you are on a multi-node cluster. For example, if you had a nine-node cluster, one node goes down, then the eight nodes don't scale, because the absence of the node is very apparent, which is a problem. If you have nine nodes or multiple nodes, the whole idea is that if one of those nodes goes down, then you should not see an impact on the system if you have enough capacity. Even though we have enough capacity, you can still see the impact of the one node going down."
"Some of our small to medium-sized customers would like to see containerization and flexibility from the deployment standpoint."
"The documentation of Vertica is an area with shortcomings where improvements are required."
"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 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, Snowflake and VMware Tanzu Greenplum, 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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