Real-time Data Processing Pipeline With MongoDB, Kafka, Debezium And RisingWave

This page summarizes the projects mentioned and recommended in the original post on dev.to
Kafka Database change-data-capture CPP kafka-connect

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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  • risingwave

    SQL stream processing, analytics, and management. We decouple storage and compute to offer instant failover, dynamic scaling, speedy bootstrapping, and efficient joins.

    • To complete the steps in this guide, you must download/clone and work on an existing sample project on GitHub. The project uses Docker for convenience and consistency. It provides a containerized development environment that includes the services you need to build the sample data pipeline.

  • redpanda

    Redpanda is a streaming data platform for developers. Kafka API compatible. 10x faster. No ZooKeeper. No JVM!

    • Redpanda with the MongoDB Debezium Connector installed. We use Redpanda as a Kafka broker.

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • debezium

    Change data capture for a variety of databases. Please log issues at https://issues.redhat.com/browse/DBZ.

    • Debezium

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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