Easy Guide to Integrating Kafka: Practical Solutions for Managing Blob Data

This page summarizes the projects mentioned and recommended in the original post on dev.to

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  • reduct-kafka-example

    This application demonstrates a simple setup for using Apache Kafka with ReductStore.

  • You can also follow along by cloning the GitHub repository containing all the code snippets and Docker Compose files used in this tutorial.

  • Apache ZooKeeper

    Apache ZooKeeper

  • To use Kafka, we also need to deploy a service that keeps configuration informations such as Zookeeper.

  • 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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  • ReductStore

    A time series database for storing and managing large amounts of blob data

  • ReductStore is a time-series database for blob data, optimized for edge computing and complements Kafka by providing a data storage solution for files larger than 1MB–Kafka's maximum message size.

  • datasets

    A collection of free datasets hosted with ReductStore (by reductstore)

  • ReductStore is a specialized time-series database designed for blob data, optimized for edge computing, computer vision, and IoT applications.

  • ApacheKafka

    A curated re-sources list for awesome Apache Kafka

  • Apache Kafka is a distributed streaming platform to share data between applications and services in real-time.

  • WorkOS

    The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.

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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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