![]() They have been releasing a version every six months to one year, which means that there are many versions available, and clients are not up to speed on the latest one that they're offering. It is the solution our clients liked best as well. We are a smaller enterprise and overall our team felt based on ease of use, support, and where we are headed, we have started to migrate everything over to an AWS ecosystem and chose Amazon Redshift. Although they are very similar, there are some features and functionalities that make them unique and attractive depending on the type of enterprise you operate. Each of these products has their own unique ecosystems that are very competitive with each other, making them both great solutions to use. This solution did not meet the necessary security protocols for some of our clients.īoth of these solutions are very stable, scalable, and flexible. We had some issues with dashboard reporting - we found there were bugs in the platform when dealing with specific types of queries. Microsoft Azure Synapse Analytics can be a very complicated product to use. You are in control of what you need, which is a huge advantage. The speed is very good and the architecture is excellent. It has a pay-as-you-go protocol, so you only pay for what you use. You can scale up and down as much as you want. Microsoft Azure Synapse Analytics can handle large amounts of data - in the petabyte range. If you are analyzing a lot of data, the load performance-wise can be very low. 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.
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