We performed a comparison between Microsoft Parallel Data Warehouse, Teradata, and TIBCO Live Datamart based on real PeerSpot user reviews.
Find out what your peers are saying about Snowflake Computing, Oracle, Teradata and others in Data Warehouse."We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The most valuable feature is the business intelligence (BI) part of it."
"Data collection and reporting are valuable features of the solution."
"Tools like the BI and SAS are excellent."
"We can store the data in a data lake for a very low cost."
"It handles high volumes of data very well."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"The initial setup was straightforward."
"The solution scales well on the cloud."
"We really enjoy the FastLoad, TPump, and MultiLoad features."
"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."
"The key advantages are Performance when processing Terabytes of data and scalability."
"The performance is great, we are able to query our data in one operation."
"Teradata's pretty fast."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"The solution has a powerful aggregating feature"
"You can create your own rules that include mathematic calculations."
"I would like the tool to support different operating systems."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"I would like to see better visualization features."
"The reporting for certain types of data needs to be improved."
"This solution would be improved with an option for in-memory data analysis."
"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 needs more compatibility with common BI tools."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"Teradata's UI could be improved."
"It needs a teaching web site with more training on third-party tools used for BI."
"Limited interest and success in some areas make us hesitate about upgrading."
"The user interface needs to be improved."
"Teradata hardly supports unstructured data or semi-structured data"
"The scalability could be better. The on-premises solution is always more complicated to scale."
"Teradata could improve by being less complicated. There are some aspects that are not available on the Unix server and a Unix system is required to access some data, such as in case of an emergency."
"Since I was working on the very basic, legacy systems, the memory thing was always a challenge. If Teradata is moving to the cloud, the space constraint or the memory issue that my company generally faces will eventually resolve, in time. What I'd like to see in the next release of Teradata is that it becomes full-fledged on the cloud, apart from better connectivity to various systems. For example, if I have to read or include a Python script, if I write some basic codes, I should be able to read even unstructured data. I know that it's not supported even in Snowflake, but at least semi-structured data support, if that can be a little more enhanced, that would be good."
"Improvements need to be made on the load balancing side."
"The solution's setup could be quicker and easier."
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