Apache Kafka

Apache Kafka

The Apache Software Foundation
LavinMQ

LavinMQ

CloudAMQP
+
+

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About

Apache Kafka® is an open-source, distributed streaming platform. Scale production clusters up to a thousand brokers, trillions of messages per day, petabytes of data, hundreds of thousands of partitions. Elastically expand and contract storage and processing. Stretch clusters efficiently over availability zones or connect separate clusters across geographic regions. Process streams of events with joins, aggregations, filters, transformations, and more, using event-time and exactly-once processing. Kafka’s out-of-the-box Connect interface integrates with hundreds of event sources and event sinks including Postgres, JMS, Elasticsearch, AWS S3, and more. Read, write, and process streams of events in a vast array of programming languages.

About

LavinMQ is a high-performance message queueing and message streaming broker built for peaks, giving developers a fast communication infrastructure that simplifies scaling distributed systems. It is an open source message broker written in Crystal and optimized from the ground up for speed, low latency, and resource efficiency. LavinMQ implements AMQP 0-9-1 and MQTT 3.1.1, making it compatible with common messaging clients and useful for background jobs, event-driven systems, IoT workflows, real-time analytics, order handling, internal communication, and high-throughput application messaging. As a message broker, LavinMQ receives messages from applications, routes them to one or many destinations, and stores them in queues until consumers are ready to process them. It supports traditional queues as well as streams, where messages are kept in immutable storage so multiple consumers can read the same data, re-read past messages, or start from a chosen point in time.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Companies searching for an open-source distributed event streaming platform for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications

Audience

Backend developers, platform engineers, and teams who need a message broker for queues, event-driven workflows, and high-throughput communication

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 5.0 / 5
ease 4.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

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Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

The Apache Software Foundation
Founded: 1999
United States
kafka.apache.org

Company Information

CloudAMQP
Founded: 2020
United States
lavinmq.com

Alternatives

Alternatives

EMQX

EMQX

EMQ Technologies
Apache Kafka

Apache Kafka

The Apache Software Foundation
Amazon MQ

Amazon MQ

Amazon

Categories

Categories

Message Queue Features

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

Integrations

Apache Pinot
BDB Platform
Broadleaf Commerce
Eclipse Streamsheets
Edge Delta
ElevateHQ
Hyper Historian
Last9
LogIsland
MatchX
Opsera
QEDIT
Red Hat Integration
Rocket Data Replicate & Sync
Solitics
StreamFlux
TIBCO Streaming
Tenzir
Unity Catalog
meshIQ

Integrations

Apache Pinot
BDB Platform
Broadleaf Commerce
Eclipse Streamsheets
Edge Delta
ElevateHQ
Hyper Historian
Last9
LogIsland
MatchX
Opsera
QEDIT
Red Hat Integration
Rocket Data Replicate & Sync
Solitics
StreamFlux
TIBCO Streaming
Tenzir
Unity Catalog
meshIQ
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Claim Apache Kafka and update features and information
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