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.
"We have complete control over our data."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"Microsoft Parallel Data Warehouse integrates beautifully with other Microsoft ecosystem products."
"The solution's integration is good."
"The most valuable feature of this solution is performance."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"I am very satisfied with the customer service/technical support."
"The performance is great, we are able to query our data in one operation."
"It effectively has allowed us to remove over 20 portion copies of the data sets on other DB platforms for real-time operational reporting purposes."
"Teradata features high productivity and reliability because it has several redundancy options, so the system is always up and running."
"The feature that we find most valuable is its ability to perform Massive Parallel Processing."
"It is a stable program."
"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."
"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."
"The most valuable features are the Shared-nothing architecture and data protection functionality."
"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."
"I think that the error messages need to be made more specific."
"They need to incorporate a machine learning engine."
"The solution is expensive and has room for improvement."
"I would like to see better visualization features."
"The query is slow if we don't optimize it."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"This solution would be improved with an option for in-memory data analysis."
"The scalability could be better. The on-premises solution is always more complicated to scale."
"It's primarily designed for big projects and therefore, the pricing is pretty high. It's not suitable for smaller companies."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"We tried to use case Teradata for a data warehouse system, but we had some problems in relation to the Teradata system, CDC tools, and source databases. We were unable to transfer data from HPE Integrity mainframe to Teradata."
"I would like to see an improved Knowledge Base on the web."
"Teradata needs to pay attention to the cloud-based solution to make sure it runs smoothly."
"Teradata can improve the way it handles big data and unstructured data."
"There is some improvement required on OLTP level and some analytical function is missing."
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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, Snowflake and VMware Tanzu Data Services, 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