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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

Kafma serves as a desktop GUI client and integrated development environment for Kafka, compatible with macOS, Windows, and Linux. It consolidates the consume–inspect–produce workflow into a single interface, enabling developers to effortlessly browse topics, review records, modify payloads, and send messages without the need to change views. Additionally, Kafma automatically interprets Avro and Protobuf formats, allows for message replaying and forwarding, and provides tools for drafting, comparing, and validating schemas prior to publication. Users can also oversee topics and consumer groups, monitor lag, and reset offsets as needed. The Pro version of Kafma offers the ability to replicate remote topics—including their configurations, schemas, and a specified range of messages—into a local cluster for thorough testing, with an option for field masking. Furthermore, Kafma is compatible with self-hosted Kafka instances, Confluent Cloud, and Amazon MSK, with a Free plan also being accessible for users. This versatility makes Kafma a valuable tool for developers working with Kafka environments.

Description

Create advanced applications that streamline workflows, provide ongoing operational monitoring, and manage processes in real-time. Your solutions are designed to operate continuously on cloud servers as well as edge devices. Utilizing a familiar spreadsheet interface, you don't need to be a programmer; instead, you can simply drag and drop data, enter formulas into cells, and create charts in an intuitive manner. All the essential protocols required for connecting to sensors and machinery, such as MQTT, REST, and OPC UA, are readily available. Streamsheets specializes in processing streaming data, including formats like MQTT and Kafka. You can select a topic stream, modify it as needed, and send it back into the vast world of streaming data. With REST, you gain access to a multitude of web services, while Streamsheets enables seamless connections both ways. Not only do Streamsheets operate in the cloud and on your servers, but they can also be deployed on edge devices, including Raspberry Pi, expanding their versatility to various environments. This flexibility allows businesses to adapt their systems according to their specific operational needs.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Kafka Yes 
Raspberry Pi OS No 

Integrations

Apache Kafka Yes 
Raspberry Pi OS Yes 

Pricing Details

$299/year/user
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person Yes 

Vendor Details

Company Name

Karma IO LLC

Founded

2026

Country

United States

Website

kafma.app

Vendor Details

Company Name

Cedalo

Founded

2017

Country

Germany

Website

cedalo.com/products/streamsheets/

Product Features

IDE

Code Completion No 
Compiler No 
Cross Platform Support No 
Debugger No 
Drag and Drop UI No 
Integrations and Plugins No 
Multi Language Support No 
Project Management No 
Text Editor / Code Editor No 

Product Features

IoT

Application Development No 
Big Data Analytics No 
Configuration Management No 
Connectivity Management No 
Data Collection No 
Data Management No 
Device Management No 
Performance Management No 
Prototyping No 
Visualization No 

IoT Analytics

Activity Dashboard No 
Activity Tracking No 
Analytics No 
Asset Tracking No 
Data Collection No 
Data Synchronization No 
Data Visualization No 
ETL No 
Multiple Data Sources No 
Performance Analysis No 
Real-Time Analytics No 
Real-Time Data No 
Real-Time Monitoring No 
Status Tracking No 

No-Code Development

AI-Assisted Development No 
Business Process Automation No 
Collaborative Development No 
Data Aggregation and Publishing No 
Deployment Management No 
Drag & Drop No 
Integrations Management No 
Iteration Management No 
Performance Monitoring No 
Requirements Management No 
Templates No 
Visual Modeling No 
Web / Mobile App Development No 
Workflow Management No 

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