Because of this auto-indexing, queries can be performed faster and more accurately as you no longer have to overcome the restraints of complex schema and index management or schema migration in a globally distributed setup.
"With the cloud principles of elasticity, cheap storage and the ability to replicate across multiple zones built in, it means you can take another look at what are the accepted principles of how you build a database", he said.
What is particularly striking about Cosmos DB is that it's unashamedly created to take full advantage of Microsoft's hyperscale data center infrastructure - running across 27 regions. The transition has officially started on May 10 with no additional charge for existing Azure DocumentDB customers.
For those lost on the type of cloud computing tasks that Azure handles: Microsoft Azure is not your typical cloud computing service that allows you to directly upload your selfies and work on documents.
Currently, these new database services are available in 11 of Azure's regions in the U.S., Europe, and the Asian region.
Interestingly, Microsoft did not mention that there will be an Azure app for Windows smartphones but did confirm the app would be developed for its Universal Windows Platform. Azure Cosmos DB is the result. While strong consistency comes with a price, writing large globally distributed applications against an "eventually consistent" database results in an application code which is hard to reason about, is brittle, and rife with correctness bugs. As a part of this release of Azure Cosmos DB, DocumentDB customers, with their data, are automatically Azure Cosmos DB customers.
The rest of Build's Day One keynote focused on new developer tools and services, in particular Azure cloud services that developers could tap to create scalable, AI-powered intelligent apps and services. The transition is seamless and they now have access to a range of new capabilities offered by Azure Cosmos DB.
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Amazon RDS also supports a service Amazon calls Aurora, which is a MySQL- and Postgres-compatible database of Amazon's own fashioning. If needed, the retailer could also scale up capacity to meet demand and then scale it back when demand subsided.
Once the data is in Cosmos DB, Microsoft offers options such as Spark and Hadoop (HDInsights) for streaming and analytics. Sequences are arrays consisting of atoms, records or sequences. The translation between the externally exposed APIs and internal data representation needed to be efficient.
Cloud database services are highly competitive. Cosmos DB's database engine now supports DocumentDB SQL, MongoDB, Azure Tables, and Gremlin.
The company opened the Build Conference by highlighting programs with artificial intelligence that could tap into services in the internet "cloud" and even take advantage of computing power in nearby machines.
The goal of Cosmos DB is to allow developers to scale across a wide number of geographic regions with SLAs supporting uptime, performance, latency, and consistency. That's up from a ratio of about 10 percent in the previous year.