Mongodb

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 graph-based data.

We will drill further into the multi-model capabilities and explore the options that are available to store and access data. Hopefully, it can help you make an informed decision on the right API are the right choice.

• Core (SQL) API: Flexibility of a NoSQL document store combined with the power of SQL for querying.
• MongoDB API: Supports the MongoDB wire protocol so that existing MongoDB client continue to work with Azure Cosmos DB as if they are running against an actual MongoDB database.
• Cassandra API: Supports the Cassandra wire protocol so that existing Apache drivers compliant with CQLv4 continue to work with Azure Cosmos DB as if they are running against an actual Cassandra database.
• Gremlin API: Supports graph data with Apache TinkerPop (a graph computing framework) and the Gremlin query language.
• Table API: Provides premium capabilities for applications written for Azure Table storage.

You can read further on the some of the Key Benefits

[Read More]

In Kafka Connect on Kubernetes, the easy way!, I had demonstrated Kafka Connect on Kubernetes using Strimzi along with the File source and sink connector. This blog will showcase how to build a simple data pipeline with MongoDB and Kafka with the MongoDB Kafka connectors which will be deployed on Kubernetes with Strimzi.

I will be using the following Azure services:

Please note that there are no hard dependencies on these components and the solution should work with alternatives as well

[Read More]