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MongoDB brings Search and Vector Search to self-managed variations of database
Software Development

MongoDB brings Search and Vector Search to self-managed variations of database

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Why DocumentDB is usually a win for MongoDB
Cloud Computing

Why DocumentDB is usually a win for MongoDB

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5 Methods to Run Analytics on MongoDB – Their Professionals and Cons
Big Data

5 Methods to Run Analytics on MongoDB – Their Professionals and Cons

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MongoDB acquires Voyage AI for its embedding and reranking fashions
Software Development

MongoDB acquires Voyage AI for its embedding and reranking fashions

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How To Be part of Information in MongoDB
Big Data

How To Be part of Information in MongoDB

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Can MongoDB and DynamoDB Coexist in Your Cloud-Native Architecture?
Big Data

Can MongoDB and DynamoDB Coexist in Your Cloud-Native Architecture?

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As real-time data integration and change data capture (CDC) become increasingly important in modern applications, the need for effective solutions that can handle high volumes of data at scale is crucial. MongoDB CDC offers a range of options for capturing changes to your data, including Kafka, Debezium, Change Streams, and Rockset. In this article, we’ll explore when to use each of these options. Kafka is a popular distributed streaming platform used for building real-time data pipelines and integrating with various systems. When it comes to CDC in MongoDB, Kafka can be used as a scalable and fault-tolerant messaging system that captures changes from your MongoDB instance and makes them available for consumption by other applications. Debezium is a popular open-source CDC tool designed specifically for capturing changes from relational databases and NoSQL stores like MongoDB. It offers a robust and flexible solution for integrating with various systems, including Kafka, AWS Kinesis, and Google Cloud Pub/Sub. Change Streams is a feature in MongoDB that enables real-time change notifications to applications. This feature provides an efficient way to capture changes to your data without the need for external tools or services.
Big Data

As real-time data integration and change data capture (CDC) become increasingly important in modern applications, the need for effective solutions that can handle high volumes of data at scale is crucial. MongoDB CDC offers a range of options for capturing changes to your data, including Kafka, Debezium, Change Streams, and Rockset. In this article, we’ll explore when to use each of these options. Kafka is a popular distributed streaming platform used for building real-time data pipelines and integrating with various systems. When it comes to CDC in MongoDB, Kafka can be used as a scalable and fault-tolerant messaging system that captures changes from your MongoDB instance and makes them available for consumption by other applications. Debezium is a popular open-source CDC tool designed specifically for capturing changes from relational databases and NoSQL stores like MongoDB. It offers a robust and flexible solution for integrating with various systems, including Kafka, AWS Kinesis, and Google Cloud Pub/Sub. Change Streams is a feature in MongoDB that enables real-time change notifications to applications. This feature provides an efficient way to capture changes to your data without the need for external tools or services.

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MongoDB 8.0 Unveils a New Era of Database Excellence
Big Data

MongoDB 8.0 Unveils a New Era of Database Excellence

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MongoDB 8.0 provides important efficiency enhancements to learn throughput, bulk writes, and extra
Software Development

MongoDB 8.0 provides important efficiency enhancements to learn throughput, bulk writes, and extra

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MongoDB launches new know-how stack for constructing AI apps
Software Development

MongoDB launches new know-how stack for constructing AI apps

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