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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Apache Pulsar is a cutting-edge, distributed platform for messaging and streaming that was initially developed at Yahoo! and has since become a prominent project under the Apache Software Foundation. It boasts straightforward deployment, a lightweight computing process, and APIs that are user-friendly, eliminating the necessity of managing your own stream processing engine. For over five years, it has been utilized in Yahoo!'s production environment, handling millions of messages each second across a vast array of topics. Designed from the outset to function as a multi-tenant system, it offers features like isolation, authentication, authorization, and quotas to ensure secure operations. Additionally, Pulsar provides configurable data replication across various geographic regions, ensuring data resilience. Its message storage relies on Apache BookKeeper, facilitating robust performance, while maintaining IO-level separation between read and write operations. Furthermore, a RESTful admin API is available for effective provisioning, administration, and monitoring tasks, enhancing operational efficiency. This combination of features makes Apache Pulsar an invaluable tool for organizations seeking scalable and reliable messaging solutions.

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

Screenshots View All

Screenshots View All

Integrations

Ably
Acryl Data
Amazon Web Services (AWS)
Astra Streaming
AtomicJar
Kestra
Kubernetes
Milvus
Netdata
RisingWave
ScyllaDB
StarTree
StreamNative

Integrations

Ably
Acryl Data
Amazon Web Services (AWS)
Astra Streaming
AtomicJar
Kestra
Kubernetes
Milvus
Netdata
RisingWave
ScyllaDB
StarTree
StreamNative

Pricing Details

No price information available.
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

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

Apache Software Foundation

Founded

1999

Country

United States

Website

pulsar.apache.org

Vendor Details

Company Name

KubeMQ

Country

United States

Website

kubemq.io

Product Features

Message Queue

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

Product Features

Message Queue

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

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