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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Event Hubs provides a fully managed service for real-time data ingestion that is easy to use, reliable, and highly scalable. It enables the streaming of millions of events every second from various sources, facilitating the creation of dynamic data pipelines that allow businesses to quickly address challenges. In times of crisis, you can continue data processing thanks to its geo-disaster recovery and geo-replication capabilities. Additionally, it integrates effortlessly with other Azure services, enabling users to derive valuable insights. Existing Apache Kafka clients can communicate with Event Hubs without requiring code alterations, offering a managed Kafka experience while eliminating the need to maintain individual clusters. Users can enjoy both real-time data ingestion and microbatching on the same stream, allowing them to concentrate on gaining insights rather than managing infrastructure. By leveraging Event Hubs, organizations can rapidly construct real-time big data pipelines and swiftly tackle business issues as they arise, enhancing their operational efficiency.

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.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

5X Yes 
Abstract Security Yes 
Apache Kafka No 
Ascend Yes 
Azure Marketplace Yes 
Cogent DataHub Yes 
EMnify Yes 
Edge Delta Yes 
Evvox Yes 
LOGIQ Yes 
New Relic Yes 
Observo AI Yes 
Onum Yes 
PeerDB Yes 
PubSub+ Platform Yes 
Rocket Data Replicate & Sync Yes 
Samza Yes 
Sclera Yes 
TriggerMesh Yes 

Integrations

5X No 
Abstract Security No 
Apache Kafka Yes 
Ascend No 
Azure Marketplace No 
Cogent DataHub No 
EMnify No 
Edge Delta No 
Evvox No 
LOGIQ No 
New Relic No 
Observo AI No 
Onum No 
PeerDB No 
PubSub+ Platform No 
Rocket Data Replicate & Sync No 
Samza No 
Sclera No 
TriggerMesh No 

Pricing Details

$0.03 per hour
Free Trial No 
Free Version No 

Pricing Details

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

Deployment

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

Customer Support

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

Customer Support

Business Hours No 
Live Rep (24/7) No 
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 No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

azure.microsoft.com/en-us/services/event-hubs/

Vendor Details

Company Name

Karma IO LLC

Founded

2026

Country

United States

Website

kafma.app

Product Features

Streaming Analytics

Data Enrichment No 
Data Wrangling / Data Prep No 
Multiple Data Source Support No 
Process Automation No 
Real-time Analysis / Reporting No 
Visualization Dashboards No 

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 

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