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."It performs very well overall."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"The data transmissions between the data models is the most valuable feature."
"Data collection and reporting are valuable features of the solution."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The most valuable feature is the business intelligence (BI) part of it."
"I am very satisfied with the customer service/technical support."
"It is a stable solution...It is a scalable solution."
"Things have started moving faster in my company, such as data retrieval happens more quickly."
"We did performance testing. We had a set of real life MicroStrategy reports. Our conditions were: Not allowed to redesign data model, not allowed to rewrite the queries, all queries should be generated by MicroStrategy, no aggregates. Teradata appeared to be way faster than a similarly configured (in terms of hardware) Oracle server."
"It's the same as your visual database. I like the fast load feature for data, the BTQ solution is very good, and storage procedures are very fast."
"Improved performance of ETL procedures, reporting."
"We really enjoy the FastLoad, TPump, and MultiLoad features."
"It's a pre-configured appliance that requires very little in terms of setting-up."
"Teradata's pretty fast."
"There are several features of Teradata that I like. One of the most basic is the indexes. I also like that it provides lower TCO. It also has the optimizer feature which is a good feature and isn't found in other legacy systems. Parallelism is also another feature I like in Teradata because when you are running or hosting on multiple systems, you have this shared-nothing architecture that helps. Loading and unloading in Teradata are also really helpful compared to other systems."
"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."
"If the database is large with a lot of columns then it is difficult to clean the data."
"It could be made more user-friendly for business users which would increase the user base."
"The solution is expensive and has room for improvement."
"We find the cost of the solution to be a little high."
"The product must provide more frequent updates."
"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 tool to support different operating systems."
"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."
"The following could be better: licensing, architecture openness, integration with other tools."
"Teradata's UI could be improved."
"The increasing volumes of data demand more and more performance."
"It needs a teaching web site with more training on third-party tools used for BI."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"I would like to see an improved Knowledge Base on the web."
"Needs compatibility with more Big Data platforms."
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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 55 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