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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

A streaming database is specifically designed to efficiently ingest, store, process, and analyze large volumes of data streams. This advanced data infrastructure integrates messaging, stream processing, and storage to enable real-time value extraction from your data. It continuously handles vast amounts of data generated by diverse sources, including sensors from IoT devices. Data streams are securely stored in a dedicated distributed streaming data storage cluster that can manage millions of streams. By subscribing to topics in HStreamDB, users can access and consume data streams in real-time at speeds comparable to Kafka. The system also allows for permanent storage of data streams, enabling users to replay and analyze them whenever needed. With a familiar SQL syntax, you can process these data streams based on event-time, similar to querying data in a traditional relational database. This functionality enables users to filter, transform, aggregate, and even join multiple streams seamlessly, enhancing the overall data analysis experience. Ultimately, the integration of these features ensures that organizations can leverage their data effectively and make timely decisions.

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

Apache Kafka No 
Apache Spark Yes 
Azure Databricks Yes 
Elastic Cloud Yes 
MongoDB Yes 
Oracle Fusion Cloud ERP Yes 
Presto Yes 
PyTorch Yes 
SAP ERP Yes 
Snowflake Yes 
TensorFlow Yes 

Integrations

Apache Kafka Yes 
Apache Spark No 
Azure Databricks No 
Elastic Cloud No 
MongoDB No 
Oracle Fusion Cloud ERP No 
Presto No 
PyTorch No 
SAP ERP No 
Snowflake No 
TensorFlow No 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

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

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 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 No 
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

EMQ

Founded

2013

Country

United States

Website

hstream.io

Vendor Details

Company Name

Karma IO LLC

Founded

2026

Country

United States

Website

kafma.app

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization 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 

Alternatives

Alternatives

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