26 September 2017
Today we're announcing several metrics to help you get the most out of the provisioned throughput, as well as integration of our metrics with the Azure Monitor, and a preview of diagnostics logs for data operations, integrated with OMS.
08 September 2017
Today we are launching Try Azure Cosmos DB for free, an experience that allows anyone to play with Azure Cosmos DB, with no Azure sign up required and at no charge for a limited time.
03 August 2017
To help you build powerful applications on top of Cosmos DB, we built change feed support, which provides a sorted list of documents within a collection in the order in which they were modified. Now, to address scalability while preserving simplicity of use, we introduce the Cosmos DB Change Feed Processor Library. In this blog, we look at when and how you should use Change Feed Processor Library.
07 June 2017
Today, we’re excited to announce that the Spark connector for Azure Cosmos DB is now truly multi-model! As noted in our recent announcement Azure Cosmos DB: The industry’s first globally-distributed, multi-model database service, our goal is to help you write globally distributed apps, more easily, using the tools and APIs you are already familiar with.
17 May 2017
Azure Cosmos DB, announced at the Microsoft Build 2017 conference, is the first globally distributed, multi-model database service for building planet scale apps. You can easily build globally-distributed applications without the hassle of complex, multiple-datacenter configurations.
10 May 2017
Azure Cosmos DB is Microsoft’s globally distributed, horizontally partitioned, multi-model database service. The service is designed to allow customers to elastically (and independently) scale throughput and storage across any number of geographical regions.
10 May 2017
Today, we’re excited to announce the general availability of Azure Cosmos DB.
20 April 2017
This week, at Microsoft Data Amp, we cover how you can harness the incredible power of data using Microsoft’s latest innovations in its Data Platform. One of the key pieces in the Data Platform is…
11 April 2017
Why enterprises trust us for their globally distributed applications. Enterprise applications and massive scale applications need a data store that is globally distributed, offers limitless scale,…
05 April 2017
At the Strata + Hadoop World 2017 Conference in San Jose, we have announced the Spark to DocumentDB Connector. It enables real-time data science, machine learning, and exploration over globally…