Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
LavinMQ is an advanced message queuing and streaming broker engineered for handling peak loads, providing developers with a rapid communication framework that facilitates the scaling of distributed systems. This open-source message broker, crafted in Crystal, is designed with a focus on speed, minimal latency, and efficient resource usage. Supporting AMQP 0-9-1 and MQTT 3.1.1 protocols, LavinMQ ensures compatibility with widely-used messaging clients, making it suitable for a variety of applications including background job processing, event-driven architectures, IoT tasks, real-time data analysis, order management, internal messaging, and high-throughput application communication. Acting as a message broker, LavinMQ captures messages from various applications, directs them to multiple destinations, and retains them in queues until the consumers are prepared to handle them. In addition to standard queuing, it offers stream support, allowing messages to be stored in an immutable format so that several consumers can access the same data simultaneously, revisit previous messages, or begin processing from a specified moment. This enhanced functionality not only streamlines the flow of information but also bolsters the resilience and adaptability of distributed systems in various operational contexts.
Description
Depending on the volume of requests per second (RPS), you can opt for standard or FIFO (first in, first out) queues. Familiar tools are available for engaging with Amazon SQS, including the HTTP API, CLI, and various programming language libraries. To enhance performance, Message Queue utilizes high-speed NVMe-enabled solid-state drives for message storage. Additionally, messages are duplicated across various geographically distributed availability zones, which guarantees reliable storage and minimizes latency, complete with write confirmations. The integration of Message Queue with cloud functions allows a trigger to activate a function that processes messages from the queue. You can create a queue to monitor statistics such as message count and call duration. Consumers have the capability to read messages from a standard queue in a random sequence. Although standard queues ensure that each message is delivered at least once, there are rare instances where a message may be received twice. For optimal throughput, it is advisable to use standard queues, making them an ideal choice for high-demand scenarios. Furthermore, the flexibility of these queues allows for efficient scaling as your application's needs evolve.
API Access
Has API
API Access
Has API
Integrations
Amazon Simple Queue Service (SQS)
Yandex Cloud
Yandex Cloud Functions
Integrations
Amazon Simple Queue Service (SQS)
Yandex Cloud
Yandex Cloud Functions
Pricing Details
Free
Free Trial
Free Version
Pricing Details
$0.012240 per GB
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
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
Vendor Details
Company Name
CloudAMQP
Founded
2020
Country
United States
Website
lavinmq.com
Vendor Details
Company Name
Yandex
Founded
1997
Country
Russia
Website
cloud.yandex.com/en/services/message-queue
Product Features
Product Features
Message Queue
Asynchronous Communications Protocol
Data Error Reduction
Message Encryption
On-Premise Installation
Roles / Permissions
Storage / Retrieval / Deletion
System Decoupling