DocumentDB General Availability and What's New!

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This week Scott welcomes Ryan CrawCour back to the Data Exposed show and he and Scott do the "GA Happy Dance". Ryan is a Senior Program Manager for Azure  DocumentDB on the Data Platform Group at Microsoft and his first video is one of the highest rated and most watched on Data Exposed. So this video is more than welcome! In this long-awaited episode (it's been 9 months since we last him on the show), Ryan makes the wonderful announcement of the General Availability of Azure DocumentDB, a NoSQL document database-as-a-service. Queue "GA Happy Dance".

The rest of the show is pure awesomeness, as Ryan shows us all the new and cool features and enhancement he and his team have been working on over the last 9 months, such as query improvements, SQL parameterization, increase in quota limits and much more! Watch this video to see what Ryan and his team have been doing recently to prepare for GA!

Learn about Azure DocumentDB at


Azure, Cloud



The Discussion

  • User profile image

    Ryan also did a great DocumentDB presentation on MVA called "Get Started with Azure DocumentDB Jump Start". The live event was on April 7; the recordings should be posted soon.

  • User profile image

    And geospatial indexing still "is on the backlog" I guess? :(

  • User profile image
    Geospatial is on the roadmap, yes. Instead of trying to jam in the hundreds of features customers have been asking for since preview, we wanted to make sure that we focused first and foremost on providing a stable reliable service. We are happy with where we are today and believe we have a stable foundation on which we can rapidly add features and do so in such a way as to not compromise on the fundamental stability of the service.
  • User profile image

    It would be great to clear key difference between DocumentDB and Azure Tables - both looks the same (storage for JSON data) at a glance.

  • User profile image

    @azazeo: at a glance yes, they can both store JSON data. the biggest advantage of DocumentDB over Table storage is the indexing and very rich query capabilities.

    Table storage is an excellent Key/Value store. So if all you need is very cheap storage of data and retrieval of data only by a single key, then Table storage is a great choice.

    However, if you want rich query capabilities over the "Value" portion, the JSON document, then you will run in to some problems.

    DocumentDB is a Document Database.
    It automatically indexes every path of your JSON document allowing you to easily query for data based on any field, or combination of fields, within the data.

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