Amazon Redshift is very fast, has a very good response time, and is very user-friendly. The initial setup is very straightforward. This solution can merge and integrate well with many different databases. It scales very easily and has a good cost-benefit ratio. It is very powerful and performs well. The data processing is very fast and can do analytics on the fly.
Amazon Redshift should have more cloud-native tools that integrate with it as Microsoft does with the Azure ecosystem. There is some missing functionality that can make Redshift difficult to work in. If you are analyzing a lot of data, the load performance-wise can be very low.
Microsoft Azure Synapse Analytics can handle large amounts of data - in the petabyte range. You can scale up and down as much as you want. It has a pay-as-you-go protocol, so you only pay for what you use. The speed is very good and the architecture is excellent. You are in control of what you need, which is a huge advantage.
Microsoft Azure Synapse Analytics can be a very complicated product to use. The setup can be very complex. We had some issues with dashboard reporting - we found there were bugs in the platform when dealing with specific types of queries. This solution did not meet the necessary security protocols for some of our clients.
Both of these solutions are very stable, scalable, and flexible. Each of these products has their own unique ecosystems that are very competitive with each other, making them both great solutions to use. 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. 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. It is the solution our clients liked best as well.
If you are dealing with semi-structured data like json Snowflake has great support in handling and querying json data. it is also good to use as data lake and can act as one stop solution for a data lake and cloud data warehouse.
query performance and low maintainability is also what makes snowflake a great choice.