We performed a comparison between Microsoft Analytics Platform System 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."Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"I like that it's integrated with other Azure products."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"Helps our customers to discover trends, which provides useful information based on their business."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"It is closely integrated with other products in the MS portfolio."
"This is a well-integrated solution and that integration empowers results."
"This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"Parallel processing features have helped to easily dump any size of data and retrieve data with great performance."
"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."
"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 capabilities enhance data management efficiency, support scalability, and contribute to faster query performance."
"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 can be deployed on-premise, on the cloud, or in a virtual machine, which means customers can move without having to create their architecture all over again."
"It handles large amounts of information with a linear performance increase, in relation to a HW investment."
"The flexibility in design is very good."
"The pricing model needs to be improved."
"Hybrid environments are complex to manage."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Functionality needs to be more up-to-date with competing products."
"The flexibility of this solution needs to be improved because you cannot make changes at every one of the different steps."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"Teradata should focus on functionality for building predictive models because, in that regard, it can definitely improve."
"The capability to implement it with comparable performance across various private cloud environments, ensuring adaptability to different infrastructure setups would be beneficial."
"I would like to see an improved Knowledge Base on the web."
"Limited interest and success in some areas make us hesitate about upgrading."
"Teradata can improve the way it handles big data and unstructured data."
"Teradata hardly supports unstructured data or semi-structured data"
"I would like to see more integration with many different types of data."
"The setup is not straightforward."
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Microsoft Analytics Platform System is ranked 16th in Data Warehouse with 9 reviews while Teradata is ranked 3rd in Data Warehouse with 54 reviews. Microsoft Analytics Platform System is rated 6.6, while Teradata is rated 8.2. The top reviewer of Microsoft Analytics Platform System writes "Offers smooth data integration between systems, but requires better real-time analytics capabilities". 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 Analytics Platform System is most compared with Microsoft Azure Synapse Analytics, IBM Netezza Performance Server and Snowflake, whereas Teradata is most compared with SQL Server, Snowflake, Oracle Exadata, MySQL and BigQuery. See our Microsoft Analytics Platform System vs. Teradata report.
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