We performed a comparison between Microsoft Parallel Data Warehouse, Teradata Cloud Data Warehouse, and Vertica based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."It is a stable solution...It is a scalable solution."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The solution's integration is good."
"It handles high volumes of data very well."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"I am very satisfied with the customer service/technical support."
"The data transmissions between the data models is the most valuable feature."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable feature is the ease of running queries."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"The product is reliable."
"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."
"I don't need any special hardware. I can use commodity hardware, which is nice to have in a commercial solution."
"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."
"It has improved my organization's functionality and performance."
"DBAs don’t need to add a partition every month/quarter like with other DBs."
"Speed and resiliency are probably the best parts of this product."
"Allows us to take volumes and process them at a very high speed."
"More tools to help designers should be included."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"We'd like to see it be a bit more compatible with other solutions."
"This solution would be improved with an option for in-memory data analysis."
"I would like to see better visualization features."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"They need to incorporate a machine learning engine."
"The product does not have all of the features that the native products have."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"It could be a bit more user-friendly."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
"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."
"I have found that coding support could be simplified."
"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."
"It should provide a GUI interface for data management and tuning."
"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."
"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."
"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."
"I would personally like to see extended developer tooling suited to Vertica – think published PowerDesigner SQL dialect support."
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