Average Ratings 1 Rating
Average Ratings 91 Ratings
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
The HiveMQ Platform provides a scalable, reliable data backbone with an event-driven MQTT architecture. Here are a few highlights:
1. MQTT Broker: At the heart of the HiveMQ platform is a fully MQTT-compliant broker purpose-built for fast, reliable, bi-directional data movement between IoT devices and enterprise systems.
2. Edge Data Integration: HiveMQ Edge seamlessly integrates edge data by converting industrial protocols into standardized MQTT, enabling an interoperable IIoT infrastructure.
3. IoT Streaming Governance: Data Hub transforms data in flight, passing only the most relevant, contextualized data to cloud and enterprise systems.
4. UNS & IT/OT convergence Enabler: Commonly used as the backbone for Unified Namespace architectures and seamlessly connects OT devices with IT systems for full visibility and interoperability.
5. Distributed Data Intelligence: HiveMQ Pulse unifies and contextualizes data across the enterprise for smarter decisions exactly where they matter most.
6. Maximum Interoperability: Runs anywhere on-premises or in public or private clouds. Efficiently connects to streaming applications, databases and data lakes with a Java SDK to build your own
7. Scalability to Support Growth: Elastic scaling with automatic data balancing and smart message distribution. Proven benchmark of up to 200M active clients with 1.8B messages/hour
8. Business Critical Reliability: Zero message loss with persistence to disk and offline queuing. No single point of failure due to masterless cluster architecture and zero downtime upgrades
API Access
Has API
No
API Access
Has API
No
Integrations
InfluxDB
Yes
100x
Yes
Aiven
Yes
Apache Storm
Yes
Baidu Palo
Yes
Causal
Yes
EmailSuccess
Yes
Feast
Yes
Hackolade
Yes
Materialize
Yes
Integrations
InfluxDB
Yes
100x
No
Aiven
No
Apache Storm
No
Baidu Palo
No
Causal
No
EmailSuccess
No
Feast
No
Hackolade
No
Materialize
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
$0.34/hour
Please visit our pricing page for more information.
Free Trial
Yes
Free Version
Yes
Deployment
Web-Based
Yes
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
Yes
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
No
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)
Yes
In Person
Yes
Vendor Details
Company Name
The Apache Software Foundation
Founded
1999
Country
United States
Website
kafka.apache.org
Vendor Details
Company Name
HiveMQ
Founded
2012
Country
Germany
Website
www.hivemq.com
Product Features
iPaaS
AI / Machine Learning
No
Cloud Data Integration
No
Dashboard
No
Data Quality Control
No
Data Security
No
Drag & Drop
No
Embedded iPaaS
No
Integration Management
No
Pre-Built Connectors
No
White Label
No
Workflow Management
No
Message Queue
Asynchronous Communications Protocol
Yes
Data Error Reduction
Yes
Message Encryption
Yes
On-Premise Installation
Yes
Roles / Permissions
Yes
Storage / Retrieval / Deletion
Yes
System Decoupling
Yes
Product Features
Industrial IoT
Condition Monitoring
No
Data Visualization
No
Factory Data Analytics
No
Machine Learning
No
Machine Workflow Creation
No
Predictive Maintenance
No
Production Line / Factory Insights
No
Real-Time Monitoring
No
Reporting / Analytics
No
Smart Alerts / Notifications
No
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
Message Queue
Asynchronous Communications Protocol
Yes
Data Error Reduction
No
Message Encryption
No
On-Premise Installation
Yes
Roles / Permissions
No
Storage / Retrieval / Deletion
No
System Decoupling
No
