Azure Cosmos DB vs. Azure SQL Managed Instance

Like any NoSQL database, whether it's MongoDB or not, it's best suited for unstructured data. It's also well suited for storing raw data before processing it and performing any type of ETL on the data.

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Data management scenarios where there is a strong need to provide dynamic context for web based applications. Also can work as an infrastructure piece for ticketing systems without relying on another set of database software. The ease of importing data from Microsoft Excel &/or .csv files makes this really easy to use when importing data into the managed instance.

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• Scalable Instantly and automatically serverless database for any large scale business.
• Quick access and response to data queries due to high speed in reading and writing data
• Create a powerful digital experience for your customers with real-time offers and agile access to DB with super-fast analysis and comparison for best recommendation

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• executes the queries efficiently
• has tools/dashboards to show where the query problems lie
• alerting for problems

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• Expensive, so be careful of the use case.
• We had a thought time migrating from traditional DBs to Cosmos. Azure should provide a seamless platform for the migration of data from on-premises to cloud.

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• hard to use without Microsoft knowledge
• Intimidating CLI
• Commands are not intuitive

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It's efficient, easy to scale, and works. We do have to do a bit of administration, but less now than when we started with this a couple of years ago. Microsoft continues to improve its self-management capability.

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It has very good compatibility and adaptability with other APIs and developers can safely create new apps because it is compatible with various tools and can be easily managed and run under the cloud, and in terms of security, it is one of the best of its kind, which is very powerful and excellent.

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it runs the workload very well without causing any issues to the business. there are many applications running on Azure SQL Managed Instances in my organization. Most users are happy with its performance. Is able to provide good dashboard for the visibility of the workload. Can add cpu without a downtime to deal with high workload.

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Microsoft is the best when it comes to after-sales support. They have a well-structured training and knowledge base portal that anyone can use. They are usually quick to respond to cases and are on point for on-call support. I have no complaints from a support standpoint. Pretty happy with the support.

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Cosmos DB is unique in the industry as a true multi-model, cloud-native database engine that comes with solutions for geo-redundancy, multi-master writes, (globally!) low latency, and cost-effective hosting built in. I've yet to see anything else that even comes close to the power that Cosmos DB packs into its solution. The simplicity and tooling support are nice bonus features as well.

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Azure to our enviironment where we have everything integrated stacks up far better than MySQL where we would have to reinvent and use everything to fit a MySQL environment including the data and the commands within that data. Furthermore, doesn't work really well on SQL Management Studio which makes it completely useless for what we are trying to do.

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• It's made managing raw data much easier
• It provides a way to maintain raw data at a low cost
• It's easy to massage the data

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• it had a positive impact to my business and allowed me to be able to move my workload from on-premise to cloud.

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