
MongoDB allows you to modify the schemas without having any downtime. All MongoDB documents are of the BSON (Binary Style of JSON document) format. MongoDB, being a NoSQL database, doesn’t use the concept of rows and columns to store the data instead, it stores data as key-value pairs in the form of documents(analogous to records) and maintains all these documents in collections(tables). MongoDB is widely used among organizations and is one of the most potent NoSQL databases in the market. MongoDB is an open-source NoSQL database that uses a document-oriented data model to store data and allows you to query data using the NoSQL query language.
Performance: Kafka is distributed, partitioned, and has a very high throughput for publishing and subscribing to the messages.įor further information on Kafka, you can check the official website here. Security: Kafka can be combined with various security measures like Kerberos to stream data securely. Fault-Tolerant: Kafka uses brokers to replicate data and persists the data to make it a fault-tolerant system. Data Transformation: Kafka offers KStream and KSQL (in case of Confluent Kafka) for on the fly data transformation. Scalability: Kafka has exceptional scalability and can be scaled easily without downtime. Kafka allows setting up real-time streaming data pipelines & applications to transform the data and stream data from source to target. It makes use of the leader-follower concept, allowing users to replicate messages in a fault-tolerant way and further allows to segment & store messages as Kafka Topics depending upon the subject. Step 4: Creating Configuration Files & Kafka TopicsĪpache Kafka is an open-source message queue that helps publish & subscribe high volumes of messages in a distributed manner. Step 3: Adding Jar Files to the Class-Path & Starting Confluent. Step 2: Installing the Debezium MongoDB Connector for Kafka. Steps to set up the Kafka MongoDB Connection. Why do we need Kafka MongoDB Connection?. Through this article, you will get a deep understanding of the tools and techniques & thus, it will help you hone your skills further. It will further help you build a customized ETL pipeline for your organization.
Upon a complete walkthrough of the content, you will be able to successfully set up a Kafka MongoDB Connection to seamlessly transfer data to the destination of your choice for a fruitful analysis in real-time. This article aims at making the data export process as smooth as possible.
It will help you take charge in a hassle-free way without compromising efficiency. Follow our easy step-by-step guide to help you master the skill of efficiently transferring your data with the help of MongoDB Kafka Connector. Do you want to transfer your MongoDB data using Kafka? Are you finding it challenging to set up a Kafka MongoDB Connection? Well, look no further! This article will answer all your queries & relieve you of the stress of finding a truly efficient solution.