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."It's feature-rich. It has a wide range of features."
"We find the serverless tool to be the most valuable feature ."
"The product works well with other Azure products."
"The platform has multiple valuable use cases. They include performance, compatibility, flexibility, and cost."
"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 features we've found most valuable for data warehouses is extracting data, SSIS packages, and the DBs."
"The whole solution is interesting for us."
"The main advantage of using this solution is its ability to scale and handle very large amounts of data, in the petabyte range."
"The solution's integration is good."
"The most valuable feature is the business intelligence (BI) part of it."
"We are able to monitor daily jobs, so if there is anything that needs to be done then we can do it."
"The most valuable feature of this solution is performance."
"Data collection and reporting are valuable features of the solution."
"It is a stable solution...It is a scalable solution."
"The most valuable features are the performance and usability."
"It has allowed fast daily loads and analysis of millions of rows of data, which eventually moved to near real-time."
"If I'm looking for something good in the cloud, I would want it to have better standard connectors."
"I would like to see more ready-to-use products from Synapse. Right now, everything seems a bit futuristic without much modern use."
"Adding more transformations and plugins to the solution is very important."
"There may be some challenges in terms of connecting with Virtual Networks (VNETs) to Microsoft Azure Synapse Analytics."
"The product needs a tool that allows for work from a laptop instead of a browser."
"The solution does not support oriented scaling in the synapse."
"From an infrastructure standpoint, I believe it can be more secure in terms of availability."
"The only issue that we have run into with the solutions performance is with regards to concurrency."
"More tools to help designers should be included."
"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 query is slow if we don't optimize it."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"I think that the error messages need to be made more specific."
"They need to incorporate a machine learning engine."
"The product must provide more frequent updates."
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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.
