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."The data transmissions between the data models is the most valuable feature."
"We can store the data in a data lake for a very low cost."
"The most valuable feature is the business intelligence (BI) part of it."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"It is a very stable database."
"It handles high volumes of data very well."
"One of the most important features is the ease of using MS SQL."
"A conventional and easily defined way to build a data warehouse or a layer of data marts."
"The flexibility in design is very good."
"Viewpoint, the detailed query logs and performance statistics are valuable features."
"Teradata's pretty fast."
"I found all parts --loading, transformation, processing & querying work in parallel, and end-to-end-- to be valuable."
"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."
"Teradata is a great, industry-leading data warehousing product that has MPP architecture."
"Teradata's best feature is its speed with historical data."
"Sometimes, the product requires rolling back to its previous version during a software update. This particular area could be enhanced."
"I would like to see better visualization features."
"The product does not have all of the features that the native products have."
"It could be made more user-friendly for business users which would increase the user base."
"If the database is large with a lot of columns then it is difficult to clean the data."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"Some compatibility issues occur during deployment, so we need to build the product from scratch for some features."
"We find the cost of the solution to be a little high."
"The SQL Assistant is very basic. This tool can be improved for usability."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"It would help to make scaling easier with a reduced cost. "
"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."
"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."
"The increasing volumes of data demand more and more performance."
"I think the UI is not there yet. It could be improved by being more user-friendly."
"Teradata's pricing is quite high compared to Redshift, Synapse, or GCP alternatives."
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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