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 has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"The most valuable features are the performance and usability."
"The solution's integration is good."
"It handles high volumes of data very well."
"Data collection and reporting are valuable features of the solution."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"It is a stable solution...It is a scalable solution."
"The solution scales well on the cloud."
"Designing the database is easy."
"Teradata's best feature is its speed with historical data."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"Their extensive experience in data warehousing, the platform's performance, and their strong reputation in the market are the most valuable."
"Teradata has good performance, the response times are very fast. Overall the solution is easy to use. When we do the transformation, we have all of our staging and aggregation data available."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"I would like the tool to support different operating systems."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"The query is slow if we don't optimize it."
"It could offer more development across the solution."
"The reporting for certain types of data needs to be improved."
"More tools to help designers should be included."
"We'd like to see it be a bit more compatible with other solutions."
"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."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"Teradata's UI could be improved."
"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."
"The solution needs improvement in its stability, support and pricing."
"Teradata can improve the way it handles big data and unstructured data."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
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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