There is some missing functionality that can make Redshift difficult to work in. The data processing is very fast and can do analytics on the fly.Īmazon Redshift should have more cloud-native tools that integrate with it as Microsoft does with the Azure ecosystem. It scales very easily and has a good cost-benefit ratio. This solution can merge and integrate well with many different databases. The initial setup is very straightforward. In addition Amazon Redshift is easier to set up than Microsoft Azure Synapse Analytics.Īnswer: Amazon Redshift is very fast, has a very good response time, and is very user-friendly. Service and Support: Most reviewers of both solutions report being satisfied with the level of support they receive.Ĭomparison Results: Amazon Redshift comes out on top in this comparison.Microsoft Azure Synapse Analytics reviewers report seeing an ROI. ROI: Amazon Redshift reviewers do not mention ROI.Pricing: Most reviewers of both solutions say that they are fairly priced.A few users mention that its performance needs to improve. Microsoft Azure Synapse Analytics users say it is simple to use, fast, and flexible. Several users mention that it can slow down when performing multiple operations simultaneously. Amazon Redshift users say that it is user-friendly and has good machine learning features. Features: Users of both products are happy with their stability and scalability.Some Microsoft Azure Synapse Analytics users say that its initial setup is straightforward, while others say it is complex. Ease of Deployment: Amazon Redshift reviewers agree that its installation is a straightforward process.After reading all of the collected data, you can find our conclusion below. We performed a comparison between Amazon Redshift and Microsoft Azure Synapse Analytics based on our users’ reviews in five categories.
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