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."
"It is a very stable database."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable feature for me is querying."
"Tools like the BI and SAS are excellent."
"One of the most important features is the ease of using MS SQL."
"It is a stable solution...It is a scalable solution."
"The solution has been reliable."
"The performance is great, we are able to query our data in one operation."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"It has given our business the ability to gain insights into the data and create data labs for analysis and PoCs."
"The most valuable features of Teradata are that it is a massively parallel platform and I can receive a lot of data and get the queries out correctly, especially if it's been appropriately designed. The native features make it very suitable for multiple large data tasks in a structured data environment. Additionally, the automation is very good."
"Teradata's pretty fast."
"It has reduced a lot of reworking on maintaining indexes, partitions, etc."
"The ability to handle machine data parallel processing is the most valuable feature of Teradata."
"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 needs more compatibility with common BI tools."
"It could be made more user-friendly for business users which would increase the user base."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"It could offer more development across the solution."
"The reporting for certain types of data needs to be improved."
"I think that the error messages need to be made more specific."
"The query is slow if we don't optimize it."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
"Data synchronization to the DR site."
"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."
"The solution is stable. However, there are times when we are using large amounts of data and we can see some latency issues."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"Query language and its functionality are rather limited, compared to Oracle or even SQL Server. However, it is possible to perform any kind of logic in it (though some workarounds may be required)."
"Teradata hardly supports unstructured data or semi-structured data"
"The SQL Assistant is very basic. This tool can be improved for usability."
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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