We have just released a major update to our pricing for Cosmos DB.
Starting today, customers can now provision a database with just 400 RU/s (or about $ 0.77/day USD). Combined with the ability to share throughput across collections this should make Cosmos DB much more affordable to users with many small collections
We invite you to checkout our new pricing in the Azure Portal and give us feedback.
Thank you for your patience and feedback.Isaac Abraham commented
Chris - to be fair DynamoDB and Cosmos are both very different services with different feature sets. Probably Azure Table Storage is a closer match to Dynamo than Cosmos, with a similar pricing model. Whilst I agree that Cosmos is very expensive compared to Dynamo, it's most likely not a good fit for your needs as if you're happily using Dynamo now, you might not need the extra features of Cosmos.
874 votesunder review · Adminmluservoice (Program Manager, Microsoft Azure Machine Learning, Microsoft Azure) responded
We will continue to listen to feedback. It will help to provide specific business cases if you are supporting this feature.Isaac Abraham commented
I think the idea of the original post is to request actual support F# within Azure ML directly. We're all aware that F# can consume a REST API - and as such, the other point from the OP was to have a sample that would illustrate how to do that - but the main goal is to enable rich (any?) support for F# directly within Azure ML.
41 votesIsaac Abraham shared this idea ·
Thank you for the feedback. I’m all for more documentation. We’ll review.