Amazon DynamoDB vs Azure Cosmos DB

• It's very easy to get started, creating a table with a partition/sort key and you're on your way.
• You can scale up and down your read/write IO as needed.
• You can store structured and unstructured data.
• It works great with Web Development as it's JSON based.

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• Turn-key geo-redundancy with multi-master writes is unprecedented and unparalleled in the industry!
• Guaranteed low latency makes Cosmos DB an excellent fit for most of our performance-intensive situations.
• The tunable consistency model simplifies so many challenges in distributed systems engineering that otherwise require advanced knowledge of computer science topics. I continue to be impressed at how Cosmos DB has abstracted away so much complexity.

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• Complex searching (no support for case-insensitive or full-text search).
• Only supports up to two-key indexes.
• Requires choosing the indexes up-front when doing searches.
• Does not have an SQL compatible query front-end.
• No join-table support (requires putting all data into one table).

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• ANSI SQL support
• Pure ACIDity support

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• Since the Amazon manages the instance, the amount of time a developer needs to spend configuring the database is less. For comparison, if we were to manage the same instance manually, we need to set up EC2 instance, install the DB, setup backup scripts, track backup failures, which is a great overhead for the dev. Using DynamoDB this overhead is reduced and hence having a great ROI.
• Great documentation and easy setup makes an easy learning curve to transition to DynamoDB. Only caveat is as with any database, the data structure should be thoroughly analyzed for types of querying because there are limitations with the DynamoDB API.
• Ties very well with rest of the Amazon eco system. Having rest of the applications in Amazon allows managing the application security a breeze.

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• Tremendously reduced our time-to-market with solutions built on graph databases
• Helped our team to think more broadly about data by making NoSQL options much more accessible
• Saved us significant effort on geo-replication and global availability

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