Discussions about tools for moving data to/from MongoDB and integrating MongoDB into your environment including using MongoDB Connector for BI, Kakfa Connector, and Spark Connector.
The MongoDB BI Connector lets you use MongoDB as a data source for your BI and analytics platforms. Seamlessly create the visualizations and dashboards that will help you extract the insights and hidden value in your multi-structured data.
- Download and/or Try in MongoDB Atlas (Only available for M10+ tier clusters)
- Release Notes
- Forum Discussion:
The official MongoDB Connector for Apache® Kafka® is developed and supported by MongoDB engineers and verified by Confluent. The Connector enables MongoDB to be configured as both a sink and a source for Apache Kafka.
Easily build robust, reactive data pipelines that stream events between applications and services in real time.
The MongoDB Connector for Apache Spark exposes all of Spark’s libraries, including Scala, Java, Python and R. MongoDB data is materialized as DataFrames and Datasets for analysis with machine learning, graph, streaming, and SQL APIs.
MongoDB delivers the freedom to run anywhere, with a database that works the same in any deployment environment, while containerization and Kubernetes make portability easy. With the ability to manage application containers side by side with their backing database instances, managing your deployments in Kubernetes has never been easier.