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 data transmissions between the data models is the most valuable feature."
"Data collection and reporting are valuable features of the solution."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"We can store the data in a data lake for a very low cost."
"It performs very well overall."
"The most valuable feature is the business intelligence (BI) part of it."
"One of the most important features is the ease of using MS SQL."
"The functionality of the solution is excellent."
"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."
"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."
"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."
"It is a stable program."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"I've never had any issues with scalability."
"This solution would be improved with an option for in-memory data analysis."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"We'd like to see it be a bit more compatible with other solutions."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"They need to incorporate a machine learning engine."
"It could be made more user-friendly for business users which would increase the user base."
"It could use some more advanced analytics relating to structured and semi-structured data."
"Teradata's UI could be more user-friendly."
"It needs a teaching web site with more training on third-party tools used for BI."
"An additional feature I would you like to see included in the next release, is that it needs to be more cloud-friendly."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
"I would like to see more integration with many different types of data."
"Data ingestion is done via external utilities and not by the query language itself. It would be more convenient to have that functionality within its SQL dialect."
"Limited interest and success in some areas make us hesitate about upgrading."
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Microsoft Parallel Data Warehouse is ranked 8th 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, Snowflake and VMware Tanzu Greenplum, 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