Data visualization is one of the most critical components for any kind of solution, and graph databases are no different. For Microsoft Azure Cosmos DB, a highly-scalable and enterprise-ready visualization solution has been a common ask from customers.
You may have been hearing a type of debate that has been gaining popularity recently in the database world. Database Administrators and NoSQL Developers have been voicing their concerns and you may have seen the following.
In this article, you will learn how to use partition keys to efficiently distribute data, improve application performance, and enable faster look-up.
Today we are extending Try Cosmos DB for 30 days free! Try Cosmos DB allows anyone to play with Azure Cosmos DB, with no Azure sign-up required and at no charge, for 30 days with ability to renew unlimited times.
Azure Cosmos DB is Microsoft’s globally distributed, multi-model database service for mission-critical workloads.
Today at Microsoft Ignite in Orlando, I shared how the confluence of Cloud, Data, and Artificial Intelligence (AI) is driving unprecedented change and is rapidly becoming foundational to innovation in every industry.
We are excited to announce the general availability of Azure Cosmos DB reserved capacity – expanding our commitment to making Cosmos DB the most cost-effective database for your modern scale-out workloads.
Since its conception in 2010, as a cloud-born database, we have carefully designed and engineered Azure Cosmos DB to exploit the three fundamental properties of the cloud.
The Azure Cosmos DB team is excited to announce version 2.0 RC of the JavaScript SDK for SQL API, now in public preview!
Today we’re excited to announce Azure Cosmos DB Explorer, a full screen standalone web-based version of the Data Explorer many of you already use in Azure Portal for Cosmos DB.
Lambda architecture is popular is Big Data architecture pipelines and is designed to handle massive quantities of data by taking advantage of both a batch layer (also called cold layer)…
In this blog we’ll discuss the concept of structured streaming and also how to build a data ingestion path directly using Azure Databricks enabling the streaming of data in near-real-time.
