We performed a comparison between Microsoft Analytics Platform System and Microsoft Azure Synapse Analytics 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."This solution will connect to any database, you can combine databases, and you can create a cube or tabular model."
"This is a well-integrated solution and that integration empowers results."
"We leverage its capabilities for many applications. We can integrate with our databases, like Oracle, MySQL, or any other, using Microsoft Integration Services."
"I like that it's integrated with other Azure products."
"Microsoft Analytics Platform System's most valuable feature is its ecosystems and seamless integration with other Microsoft reporting platforms and databases."
"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."
"Helps our customers to discover trends, which provides useful information based on their business."
"The useability, the user interface, is very user-friendly."
"Azure elasticity allows us to scale as much as we want, and it is pay-as-you-go, so we can scale up as we need to."
"The ability to scale out services on-demand and scale them down when they are not required is most valuable. You are in control of your expenditures, and you are also in control of the horsepower that you need. That's a major advantage."
"The most important feature for me is the integration with PolyBase."
"The solution offers strong scalability opportunities."
"It's user-friendly and has a good dashboard."
"They are available on the Cloud, and the platform is very intuitive."
"Azure Synapse combines the strengths of SQL technologies for effective enterprise data management."
"Functionality needs to be more up-to-date with competing products."
"Microsoft Analytics Platform System could have better support."
"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."
"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."
"We need better real-time analytics capabilities. It's a bit challenging for us."
"The pricing model needs to be improved."
"While the solution is flexible, sometimes this works against the user."
"It would be ideal if the solution could be better used intuitively by the staff without having a great deal of training."
"Synapse makes it easy to integrate and onboard data from other Microsoft and Azure sources. The interface is familiar because we were using Azure Data Factory before Synapse. It made the transition even easier because the Synapse interface is exactly the same."
"The major challenge that we're seeing with Azure Synapse is around security concerns. The way it is working right now, it has Managed VNet by Microsoft option, similar to the implementation of Azure Databricks, which may pose a concern for financial institutions. For managed environments, the banks have very strict policies around data being onboarded to those environments. For some confidential applications, the banks have the policy to encrypt it with their own key, so it is sort of like Bring Your Own Key, but it is not possible to manage the resources with Microsoft or Databricks, which is probably the major challenge with Azure Synapse. There should be more compatibility with SQL Server. It should be easier to migrate solutions between different environments because right now, it is not really competitive. It is not like you can go and install SQL Database in some other environment. You will have to go through some migration projects, which probably is one of the major showstoppers for any bank. When they consider Synapse, they not only consider the investment in the actual service; they also consider the cost of the migration process. When you scale out or scale down your system, it becomes unavailable for a few minutes. Because it is a data warehouse environment, it is not such a huge deal, but it would be great if they can improve it so that the platform is available during the change of configuration."
"The product needs a tool that allows for work from a laptop instead of a browser."
"It's a complicated product."
"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."
"Integration with other vendors has limitations and could be improved."
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Microsoft Analytics Platform System is ranked 17th in Data Warehouse with 9 reviews while Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews. Microsoft Analytics Platform System is rated 6.6, while Microsoft Azure Synapse Analytics is rated 7.8. 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 Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". Microsoft Analytics Platform System is most compared with Teradata, IBM Netezza Performance Server and Snowflake, whereas Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Amazon EMR. See our Microsoft Analytics Platform System vs. Microsoft Azure Synapse Analytics report.
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