We performed a comparison between Amazon Redshift 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."I found the Amazon Redshift computing services easy. I found the computing instances the most incredible in the solution."
"I have primarily used the Redshift Spectrum feature and found it most valuable."
"Easy to build out our snowflake design and load data."
"The most valuable feature of Redshift is its cluster."
"The solution's flexibility is its most valuable feature. It's also easy to scale and has relatively painless pricing."
"I like it because the usage is very similar to Microsoft SQL server. The structure of the query and the temporary tables are very similar."
"It's very easy to migrate from other databases to Redshift. There are migration tools dedicated for this purpose, enabling migration from other databases like MS SQL directly to Redshift. The majority of the scripts will be automatically transposed."
"If the analyst knows SQL, which is comfortable and easy to use to go between all of these tool stacks, I think it's reliable. It's a secure and reliable data warehouse."
"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."
"It handles high volumes of data very well."
"Collecting the data through SSIS packages from different sources and putting them all in one data repository is the most powerful thing. While others have this feature, they don't have the simplicity or ease of use when getting a resource and knowing everything about it."
"I am very satisfied with the customer service/technical support."
"It is a very stable database."
"It is not a pricey product compared to other data warehouse solutions."
"The most valuable feature for me is querying."
"They should provide a better way to work with interim data in a structured way than to store it in parquet files locally."
"It would be good to see Redshift as a serverless offering."
"Amazon should provide more cloud-native tools that can integrate with Redshift like Microsoft's development tools for Azure."
"The speed of the solution and its portability needs improvement."
"Improvement could be made in the area of streaming data."
"Pricing is one of the things that it could improve. It should be more competitive."
"There is some missing functionality and sometimes it's so difficult to work in. We need to convert these functionalities using VACUUM inside Amazon Redshift and then it causes some complexity."
"If you require a highly scalable solution, I would not recommend Amazon Redshift."
"The reporting for certain types of data needs to be improved."
"We'd like to see it be a bit more compatible with other solutions."
"The product does not have all of the features that the native products have."
"The only issue with the product is that the process is very slow when we have a huge amount of data."
"I would like the ability to do more real-time type updates instead of batch-oriented updates."
"They need to incorporate a machine learning engine."
"SQL installation is pretty tricky. The scalability and customer support also should be improved."
"We find the cost of the solution to be a little high."
More Microsoft Parallel Data Warehouse Pricing and Cost Advice →
Amazon Redshift is ranked 4th in Cloud Data Warehouse with 24 reviews while Microsoft Parallel Data Warehouse is ranked 8th in Data Warehouse with 12 reviews. Amazon Redshift is rated 7.8, while Microsoft Parallel Data Warehouse is rated 7.6. The top reviewer of Amazon Redshift writes "A cost-effective warehouse solution that needs to improve the access limitations". On the other hand, the top reviewer of Microsoft Parallel Data Warehouse writes "User-friendly UI and good support". Amazon Redshift is most compared with AWS Lake Formation, Snowflake, Microsoft Azure Synapse Analytics, Vertica and Teradata, whereas Microsoft Parallel Data Warehouse is most compared with Microsoft Azure Synapse Analytics, Oracle Exadata, SAP BW4HANA, Snowflake and VMware Tanzu Greenplum. See our Amazon Redshift vs. Microsoft Parallel Data Warehouse report.
See our list of best Data Warehouse vendors and best Cloud Data Warehouse vendors.
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