We performed a comparison between Microsoft Azure Synapse Analytics and Teradata Cloud Data Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Cloud Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."I like SQL post, which is for storage and distributed computing. Another good feature is the copy activity."
"The MPP (Massively Parallel Processing) architecture helps to make things a lot faster."
"The most valuable feature of Microsoft Azure Synapse Analytics is its integration with the new legacy systems. Whatever application we want to integrate, we receive the reports based on the objects. The solution is easy to purchase from the cloud."
"The most valuable features of Microsoft Azure Synapse Analytics are the interface and the agility of the on-cloud platform."
"We've had a good experience with technical support in general."
"Can capture all the transactional data throughout a company."
"I like its performance. It is well-structured and offers a lot of practical options. Because of the visual design of the product, it is very easy to find icons and other visual elements. It took me more than two weeks to understand how it works. I had an intensive training session to understand it, which was enough. It was not hard to understand how it works."
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."
"The product is reliable."
"The most valuable feature is the ease of running queries."
"The cloud is ten times better than physical hardware; it is more cost-effective and the upgrade process is ten times easier."
"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."
"We'd, of course, always like to pay less for the service if we can."
"I am pretty sure that there are areas that need improvement but I just can think of them off the top of my head."
"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."
"One area for improvement could be better integration with Power BI, as well as data integration with BW."
"Synapse Analytics needs to develop an automation framework because now you have to build a cache yourself. You have to build a pipeline in WhereScape, which does end-to-end pipeline automation well. Microsoft should come up with a framework to save people time. If they developed a tool like WhereScape, it would dramatically reduce development time."
"The platform is not flexible, and the graphical user interface needs to be improved because the interface makes it hard for the end user to use it."
"I would like to see them provide the ingestion of images."
"Stability-wise, we have had some issues with automation and the ability to handle large datasets."
"It could be a bit more user-friendly."
"The cost of Teradata Cloud Data Warehouse has room for improvement."
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Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews while Teradata Cloud Data Warehouse is ranked 13th in Cloud Data Warehouse with 3 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while Teradata Cloud Data Warehouse is rated 8.0. The top reviewer of Microsoft Azure Synapse Analytics writes "No competitors provide the entire solution to one place ". On the other hand, the top reviewer of Teradata Cloud Data Warehouse writes "Is quick, easy to upgrade, and cost-effective". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Teradata, whereas Teradata Cloud Data Warehouse is most compared with Snowflake, Amazon Redshift, Teradata, Oracle Exadata and Vertica. See our Microsoft Azure Synapse Analytics vs. Teradata Cloud Data Warehouse report.
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