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."-"
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."
"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 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."
"It is a highly stable solution and it's easy to use."
"Our primary use case is for gathering data and analytics. We provide insights into vehicle data. We gather millions of records per second and we have various millions of vehicles running across."
"We have found that it is easy to develop and to do the analytics in the modules of data."
"The most advantageous aspect of Microsoft Azure Synapse Analytics is its simplified data transformation process compared to traditional databases. This makes data cleansing and transformation more manageable and straightforward, which we appreciate. It is much easier to build as well."
"The most valuable feature is the business intelligence (BI) part of it."
"The UI is very simple and functional for my clients, most of the clients that use the solution are not experts."
"We can store the data in a data lake for a very low cost."
"The most valuable feature for me is querying."
"One of the most important features is the ease of using MS SQL."
"The solution's integration is good."
"I like Data Warehouse's data integrity features. Data integrity is what databases are made for as opposed to spreadsheets."
"Microsoft Parallel Data Warehouse provides good firewall processing in terms of response time."
"The configuration for things like high-availability could be more user-friendly for non-technical users."
"Microsoft Azure Synapse Analytics's overall integration within the Azure ecosystem could improve. The native Microsoft solution versus another solution, such as Databricks, there are areas where there could be some improvements."
"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."
"It's pay as you go, so you never know what your bill is going to be beforehand, and that's scary for customers. If you have someone who makes a mistake and the program's a loop that is running all night, you could receive a very expensive bill."
"It needs strong support for social media, internet data, and native support for NoSQL."
"This solution needs to have query caching so that if the same query is run and the results are available, it will return the data from the cache without having to re-run the query."
"The cost of the solution has room for improvement."
"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."
"They need to incorporate a machine learning engine."
"The product must provide more frequent updates."
"The reporting for certain types of data needs to be improved."
"It could be made more user-friendly for business users which would increase the user base."
"It could offer more development across the solution."
"The feature updates on the on-premise solution come very slowly, and it would be great if they came faster."
"Concurrent queries are limited to 32, making it more of a data storage mechanism instead of an active DWH solution."
"If the database is large with a lot of columns then it is difficult to clean the data."
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Microsoft Azure Synapse Analytics is ranked 2nd in Cloud Data Warehouse with 86 reviews while Microsoft Parallel Data Warehouse is ranked 9th 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 Amazon EMR, whereas Microsoft Parallel Data Warehouse is most compared with Oracle Exadata, SAP BW4HANA 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.
