We performed a comparison between Microsoft Parallel Data Warehouse and Teradata 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."I am very satisfied with the customer service/technical support."
"The most valuable feature for me is querying."
"The solution's integration is good."
"The most valuable features are the performance and usability."
"Tools like the BI and SAS are excellent."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Data collection and reporting are valuable features of the solution."
"The most valuable feature is the business intelligence (BI) part of it."
"The flexibility in design is very good."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"Teradata can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"We really enjoy the FastLoad, TPump, and MultiLoad features."
"The initial setup was straightforward."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
"Auto-partitioning and indexing, and resource allocation on the fly are key features."
"It could offer more development across the solution."
"I would like to see better visualization features."
"I think that the error messages need to be made more specific."
"More tools to help designers should be included."
"It could be made more user-friendly for business users which would increase the user base."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"The query is slow if we don't optimize it."
"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."
"Teradata is an expensive tool. Like, if you're already using Microsoft products like Windows, they'll market all their products together. And with the rise of cloud technologies, companies will adopt solutions that offer them some privileges or facilities. Similar to how SAP does it in the market, so do Microsoft and other companies. Even Oracle and other such tools are quite commonly seen compared to Teradata's competitors in everyday solutions."
"The solution could improve by having a cloud version or a cloud component. We have to use other solutions, such as Amazon AWS, Microsoft Azure, or Snowflake for the cloud."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"Teradata's UI could be more user-friendly."
"The increasing volumes of data demand more and more performance."
"Teradata needs to expand the kind of training that's available to customers. Teradata only offers training directly and doesn't delegate to any third-party companies. As a result, it's harder to find people trained on Teradata in our market relative to Oracle."
"I would like to see more integration with many different types of data."
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Microsoft Parallel Data Warehouse is ranked 9th in Data Warehouse with 32 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Microsoft Parallel Data Warehouse is rated 7.6, while Teradata 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 Teradata writes "Offers seamless integration capabilities and performance optimization features, including extensive indexing and advanced tuning capabilities". Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA and Snowflake, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Microsoft Parallel Data Warehouse vs. Teradata report.
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You are asking about front end tools but you do not mention which ones. What you have are "database backends" and each has different features. The utilization will depend on what kind of expertise you have available else you will end up trying to implement say, Teradata on Exadata which may not give you the best solution. What are your criteria for success? Based on these you will have to evaluate each solution -- I am sure each vendor will be happy to set up the environment and work with your set of sampl,e data to show you have they evaluate against your criteria.
Given we partner with many or all of the above, or can get to them as we access all data, I have the following opinion - InfoBright is very new and probable to be sold long term. It is also an expensive subscription so presents highest risk to me. Exidata is Oracle - if you like Oracle and their style, it maybe ok, but then it is Oracle. Microsoft is Microsoft - tends to be cheap to acquire and expensive to implement and maintain. Teradata is pricey but of the group presents the least risk and the greatest number of front end partners. The product I represent is unique as it is designed for high complexity large numbers of users and data and runs inside Teradata taking better advantage of the architecture.
Disclosure: I work for Information Builders