"I like that it's integrated with other Azure products."
"The Cube Solution is quite different when compared to the rest of the competition and has unique functionality for advanced analytics."
"This is a well-integrated solution and that integration empowers results."
"The solution's scalability is very, very good. It's one of the most important aspects for us."
"The most valuable feature is that you can suspend the computer if it is not being used, which means that you don't incur costs."
"Fills the gap between big data and classic data warehouses."
"We also like governance. It looks at what the requirements are for the company to identify the best way to ensure compliance is met when you move to the cloud."
"Its seamless integration with Azure services is most valuable. If somebody wants to use all Azure services, it is the best solution."
"The architecture, including compute and storage, is good."
"The most valuable features of Microsoft Azure Synapse Analytics are how easy and quick it is to set up the linked services."
"The most important feature for me is the integration with PolyBase."
"I think the biggest problem with the product is that it does a data ingest model, which is very expensive."
"Releases of new products and functionality is never accompanied by associated documentation, training and resources that adequately explain the release."
"Machine learning and artificial intelligence capabilities need to be more friendly for beginning users."
"Functionality needs to be more up-to-date with competing products."
"The pricing model needs to be improved."
"Its stability is an issue. They have been releasing a version every six months to one year, which means that there are many versions available, and clients are not up to speed on the latest one that they're offering. From a stability point of view, they could do better. They're still upgrading their Synapse Analytics workspace, and it is not that stable. Its scalability can also be better."
"Microsoft should develop an interface to make it easier to shift from on-premise to the cloud."
"Indicating what areas need improvement in this solution is a difficult question because the organizations that I am working for are really new in this area. However, an even better more simple interface, or perhaps an extension of a connector app store solution, would be helpful."
"The product could be more feature-rich."
"The need to improve a little bit in terms of user-friendliness."
"Unfortunately, we have had some issues with the dashboard reporting. Sometimes, the data for specific periods would just appear blank on the dashboard. To investigate this, we worked with a Microsoft incident agent and it turned out to be a result of bugs in the platform when dealing with specific types of queries in Azure Data Factory."
"The performance and data consistency need to be improved."
"The initial setup has a bit of a learning curve."
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Microsoft Analytics Platform System is ranked 16th in Data Warehouse with 3 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 33 reviews. Microsoft Analytics Platform System is rated 5.6, while Microsoft Azure Synapse Analytics is rated 8.0. The top reviewer of Microsoft Analytics Platform System writes "Has unique functionality for advanced analytics but could use enhancement in machine learning and AI features". On the other hand, the top reviewer of Microsoft Azure Synapse Analytics writes "Scalable, intuitive, facilitates compliance and keeping your data secure". Microsoft Analytics Platform System is most compared with Amazon Redshift, Snowflake, Oracle Exadata, IBM Netezza Performance Server and Teradata, whereas Microsoft Azure Synapse Analytics is most compared with Snowflake, Amazon Redshift, SAP BW4HANA, Apache Hadoop and Teradata Cloud Data Warehouse.
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