Author: Mahendra Chheda

Using Amazon Cloud Directory, you can build flexible, cloud-native directories for organizing hierarchies of data along multiple dimensions. And now, you can search more efficiently by searching across only a subset of objects in your directory. For example, instead of searching through all of the employees in a company directory built using Cloud Directory, you […]

Now, Amazon Cloud Directory makes it easier for you to apply schema changes across your directories with in-place schema upgrades. Your directory now remains available while Cloud Directory applies backward-compatible schema changes such as the addition of new fields. Without migrating data between directories or applying code changes to your applications, you can upgrade your […]

Starting today, you can create and search relationships across hierarchies in Amazon Cloud Directory by using typed links. With typed links, you can build directories that can be searched across hierarchies more efficiently by filtering your queries based on relationship type. Typed links also enable you to model different types of relationships between objects in […]

Amazon Cloud Directory enables you to build flexible, cloud-native directories for organizing hierarchies of data along multiple dimensions. For example, you can create an organizational structure that you can navigate through multiple hierarchies for reporting structure, location, and cost center. With Cloud Directory, you can create directories for a variety of use cases, such as […]

  Today we are launching Amazon Cloud Directory. This service is purpose-built for storing large amounts of strongly typed hierarchical data. With the ability to scale to hundreds of millions of objects while remaining cost-effective, Cloud Directory is a great fit for all sorts of cloud and mobile applications. Cloud Directory is a building block […]