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What is Kafma?
Kafma is a versatile desktop GUI client and integrated development environment specifically designed for Kafka, and it supports macOS, Windows, and Linux platforms. By merging the consume–inspect–produce workflow into a seamless interface, it allows developers to easily navigate topics, examine records, adjust payloads, and dispatch messages without needing to switch between different views.
Moreover, Kafma can automatically decode Avro and Protobuf formats, facilitates the replaying and forwarding of messages, and includes features for drafting, comparing, and validating schemas before they are published. Users are empowered to manage topics and consumer groups, keep track of lag, and reset offsets as necessary.
The Pro version enhances functionality by enabling users to replicate remote topics, including their configurations, schemas, and a specified range of messages, into a local cluster for comprehensive testing, with an option for field masking. In addition, Kafma accommodates self-hosted Kafka instances, Confluent Cloud, and Amazon MSK, while also providing a Free plan for users who want to explore its features. This array of capabilities positions Kafma as an essential resource for developers engaged in Kafka environments, significantly streamlining their workflow and enhancing productivity.
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API Availability
API Availability
Pricing Information
$299/year/user
Free Version
Pricing Information
Pricing not provided
Supported Platforms
Windows
Mac
Linux
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Online Training
Company Facts
Organization Name
Karma IO LLC
Date Founded
2026
Company Location
United States
Company Website
kafma.app
Company Facts
Organization Name
Conduktor
Date Founded
2020
Company Location
United States
Company Website
www.conduktor.io
Categories and Features
Event Stream Processing
Not specified
IDE
Not specified
Categories and Features
Data Pipeline
Not specified
Event Stream Processing
Not specified