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 like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"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."
"We have complete control over our data."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The data transmissions between the data models is the most valuable feature."
"The most valuable feature of this solution is performance."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"We can store the data in a data lake for a very low cost."
"The two types of partitioning have been very significant for us - row and columnar partitioning."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"The most valuable features are the large volume of data and the structuring of the data to optimize it and get very optimal data warehouse solutions for customers."
"The most valuable feature of Teradata is security. It runs on Unix and Linux platforms which provide better security."
"Things have started moving faster in my company, such as data retrieval happens more quickly."
"Improved performance of ETL procedures, reporting."
"Designing the database is easy."
"Teradata can be easily used in ETL mode transformations, so there is no need for expensive and inconvenient ETL tools"
"It could be made more user-friendly for business users which would increase the user base."
"I would like to see better visualization features."
"I would like the tool to support different operating 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."
"It needs more compatibility with common BI tools."
"We'd like to see it be a bit more compatible with other solutions."
"The product must provide more frequent updates."
"This solution would be improved with an option for in-memory data analysis."
"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."
"It could use some more advanced analytics relating to structured and semi-structured data."
"The solution needs improvement in its stability, support and pricing."
"Data synchronization to the DR site."
"The following could be better: licensing, architecture openness, integration with other tools."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"Teradata hardly supports unstructured data or semi-structured data"
"Sometimes the large injestion takes days to load data, and some of our stored procedures take two to three days."
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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, VMware Tanzu Greenplum 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