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Azure Cosmos DB is a globally distributed, multi-model database service designed for high scalability and performance. It supports various data models, including document, key-value, wide-column, and graph-based data, making it versatile for different application needs. Its ability to provide low-latency data access and automatic scaling makes it suitable for applications that require real-time data processing, such as web, mobile, gaming, and IoT applications ⁴⁵.

One of the key features of Cosmos DB is its support for multiple APIs, including Core (SQL) API, MongoDB API, Cassandra API, and Gremlin API. This allows developers to choose the best API for their specific use case while leveraging the underlying capabilities of Cosmos DB ⁵. Additionally, it is fully managed, which means that users do not have to worry about the complexities of database management, allowing them to focus on application development.

If you have specific questions or need more information about Cosmos DB, feel free to ask!

Optimizing Cosmos Database

Level Up Coding

Context Azure Cosmos DB is fully managed NoSQL database service that is globally distributed and multi-model. Cosmos provides seamless and automatic scaling, low-latency data access, and a flexible an...

Getting Started with Graph Databases in Azure Cosmos DB

Towards Data Science

In Azure Cosmos DB, we can build graph databases using the Gremlin API offering. Like many up and coming trends in the data universe, you may hear people talk about Graph databases and roll your eyes…...

Revealed: A ridiculously easy way to integrate Azure Cosmos DB with Azure Databricks

Towards Data Science

In this article, you will discover how to seamlessly integrate Azure Cosmos DB with Azure Databricks using a simple 3 step guide.

Python + Azure Cosmos DB

Towards Data Science

Azure Cosmos DB is a globally distributed, multi-model database service that is elastically scalable and extremely fast. The fact that it is globally distributed means that it is an excellent…

Azure Cosmos DB: Use Cases and Trade-Offs

Towards Data Science

Azure Cosmos DB is a fully managed, elastically scalable and globally distributed database with a multi-model approach, and provides you with the ability to use document, key-value, wide-column, or…

MongoDB

Towards Data Science

In part three, we started working on the FastAPI portion of the monthly budgeting app project. To start, we downloaded the necessary module and began implementation. Because MongoDB uses NoSQL, we…

MongoDB

Level Up Coding

MongoDB is a cross-platform document-oriented database. Document-oriented databases strongly contrast with the traditional relational databases. MongoDB is a NoSQL database which allows you to store…

How to Get Cosmos DB Partition Count Via Python

Python in Plain English

Use Python to get a real-time glimpse of the number of physical partitions belonging to your Cosmos DB database/containers Continue reading on Python in Plain English

Cosmos DB: Query to Point Read Conversion

Level Up Coding

Learn how to identity queries eligible to be converted to point reads to enjoy substantial performance gains at scale Continue reading on Level Up Coding

Stream Your Cosmos DB Changes To Databricks with Spark 3

Towards Data Science

Cosmos DB Spark 3 OLTP Connector for Spark Streaming from Cosmos DB Change Feed checkpoints and write stream to delta tables. Netty ReadTimeoutException.

Working with Azure Cosmos DB in your Azure Functions

Towards Data Science

Developing Azure Functions that use Azure Cosmos DB as a data-store is quite simple to achieve. We can invoke our Azure Functions with a CosmosDB Trigger, we can use input and output bindings to get…