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Description

Apache Kafka® is a robust, open-source platform designed for distributed streaming. It can scale production environments to accommodate up to a thousand brokers, handling trillions of messages daily and managing petabytes of data with hundreds of thousands of partitions. The system allows for elastic growth and reduction of both storage and processing capabilities. Furthermore, it enables efficient cluster expansion across availability zones or facilitates the interconnection of distinct clusters across various geographic locations. Users can process event streams through features such as joins, aggregations, filters, transformations, and more, all while utilizing event-time and exactly-once processing guarantees. Kafka's built-in Connect interface seamlessly integrates with a wide range of event sources and sinks, including Postgres, JMS, Elasticsearch, AWS S3, among others. Additionally, developers can read, write, and manipulate event streams using a diverse selection of programming languages, enhancing the platform's versatility and accessibility. This extensive support for various integrations and programming environments makes Kafka a powerful tool for modern data architectures.

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

A modern and innovative message queue and message broker designed as a lightweight container to operate seamlessly within Kubernetes, recognized in the CNCF ecosystem, and capable of native integration with cloud-native technologies. This solution is tailored for developers, offering comprehensive messaging patterns while ensuring scalability, high availability, and robust security. It enables rapid microservice connections through a diverse array of connectors, all without requiring any coding skills. With user-friendly SDKs and a removal of predefined topics, channels, brokers, and routes, it simplifies the messaging landscape. The Build & Deploy feature allows users to configure KubeMQ components effortlessly with just a few clicks, followed by deployment using the kubectl command line. Additionally, it facilitates quick Kubernetes deployment, taking under a minute, making it exceptionally developer-friendly by addressing various challenges faced by developers and DevOps teams alike. Overall, this platform streamlines the messaging process and enhances productivity in cloud-native environments.

API Access

Has API

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Screenshots View All

Integrations

Azure Marketplace
PeerDB
AgilityHealth
Akira AI
Apache Kylin
BDB Platform
Baidu Messaging System
FusionReactor
GigaSpaces
Grafbase
IBM Event Streams
Lightstreamer
Litmus Edge
Pliant
RisingWave
Semarchy xDI
Tengu
Tenzir
TeskaLabs SIEM
Vert.x

Integrations

Azure Marketplace
PeerDB
AgilityHealth
Akira AI
Apache Kylin
BDB Platform
Baidu Messaging System
FusionReactor
GigaSpaces
Grafbase
IBM Event Streams
Lightstreamer
Litmus Edge
Pliant
RisingWave
Semarchy xDI
Tengu
Tenzir
TeskaLabs SIEM
Vert.x

Integrations

Azure Marketplace
PeerDB
AgilityHealth
Akira AI
Apache Kylin
BDB Platform
Baidu Messaging System
FusionReactor
GigaSpaces
Grafbase
IBM Event Streams
Lightstreamer
Litmus Edge
Pliant
RisingWave
Semarchy xDI
Tengu
Tenzir
TeskaLabs SIEM
Vert.x

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$0.03 per hour
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

The Apache Software Foundation

Founded

1999

Country

United States

Website

kafka.apache.org

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

KubeMQ

Country

United States

Website

kubemq.io

Product Features

iPaaS

AI / Machine Learning
Cloud Data Integration
Dashboard
Data Quality Control
Data Security
Drag & Drop
Embedded iPaaS
Integration Management
Pre-Built Connectors
White Label
Workflow Management

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

Product Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

Product Features

Message Queue

Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling

Alternatives

Alternatives

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MQTTRoute

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Amazon MQ

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Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation