We performed a comparison between Microsoft Azure Synapse Analytics and Microsoft Parallel Data Warehouse 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."-"
"Its scalability and ease of use are valuable. It is fairly simple for a tool that's that powerful. If you have a background in Microsoft SQL Server, it is a very easy-to-transition path."
"Overall deployment and integration is pretty fast."
"The solution has been working well overall."
"The most important feature for me is the integration with PolyBase."
"The best thing about it is that it has integration at multiple places. It can talk to more than 90 types of data sources, which is one good thing about it."
"The most valuable feature of the solution is the analytics and that it can connect with Power BI."
"Data can be stored any way you want in the data warehouse."
"It handles high volumes of data very well."
"It is a very stable database."
"The data transmissions between the data models is the most valuable feature."
"Data collection and reporting are valuable features of the solution."
"I am very satisfied with the customer service/technical support."
"The solution's integration is good."
"The most valuable features are the performance and usability."
"The solution has been reliable."
"It could be more stable."
"Microsoft Azure Synapse Analytics can improve by increasing the size of the files that we can load on the platform. We have some files that are too large to be loaded and it would be a benefit to us if the limit was increased. Additionally, the way we use the tool for generating reports can be made better. They should add some drag-and-drop rules without the need of programming these rules using some programming language. It would be helpful if we did not need someone that was technically advanced to be able to do it with, such as someone with no IT background. Having a reporting tool without code would be great."
"Microsoft Azure Synapse Analytics's pricing could be reduced."
"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."
"Integration with other vendors has limitations and could be improved."
"An area for improvement in Microsoft Azure Synapse Analytics is its user interface. You can use it for analytical purposes, but its platform should be a little bit more user-friendly. Another small point for improvement in Microsoft Azure Synapse Analytics is its stability. It's good currently, but it could still be improved. Microsoft is combining different tools and technologies into one solution, so in the future, I'm expecting to see even more improvement in Microsoft Azure Synapse Analytics. An additional feature I'd like to see in the next version of Microsoft Azure Synapse Analytics is the drag-and-drop feature. If you're doing some integrations where you can write Scala or you have SPARK programming or SQL, or you're combining different programming, the process should be seamless, and you should be able to drag and drop in Microsoft Azure Synapse Analytics. When doing reporting in the solution, you should also be able to drag and drop. There should be connectors available and a drag-and-drop feature available in the user interface of Microsoft Azure Synapse Analytics, so you won't have to worry about how all processes would work together. You need to be able to drag and drop even from the backend, and having this feature will make the solution more user-friendly."
"It could be beneficial to focus on integration with various data sources and similar enhancements."
"The linked services can be improved. We can create dynamic linked services to access a lot of databases but only those of the same type. For example, I can use the same linked services to access 11 SQL databases. However, if I have 11 SQL databases and five Oracle databases, I need two dynamic linked services. I cannot do it with only one linked service. The UI also needs to be improved. When I have used Azure Synapse for programming with PySpark, Scala, or .NET, for example, the UI has been unstable. If I open two notebooks for programming, one notebook will queue the session of the other."
"They need to incorporate a machine learning engine."
"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."
"The solution is expensive and has room for improvement."
"The product must provide more frequent updates."
"I would like to see better visualization features."
"It needs more compatibility with common BI tools."
"We'd like to see it be a bit more compatible with other solutions."
"I would like the tool to support different operating systems."
More Microsoft Azure Synapse Analytics Pricing and Cost Advice →
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 85 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 32 reviews. Microsoft Azure Synapse Analytics is rated 7.8, while Microsoft Parallel Data Warehouse is rated 7.6. 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 Microsoft Parallel Data Warehouse writes "An easy to setup tool that allows its users to write stored procedure, making it a scalable product". Microsoft Azure Synapse Analytics is most compared with Azure Data Factory, SAP BW4HANA, Snowflake, Oracle Autonomous Data Warehouse and Vertica, whereas Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, SAP BW4HANA, VMware Tanzu Greenplum and Snowflake. See our Microsoft Azure Synapse Analytics vs. Microsoft Parallel Data Warehouse report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
