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What is Baidu Messaging System?

The Baidu Messaging System (BMS) is a highly scalable and distributed messaging queue service celebrated for its remarkable throughput performance. It collects vast amounts of data from diverse sources including websites, devices, and applications, facilitating real-time analysis of user activities such as browsing habits, clicks, and search queries. Built upon the architecture of Apache Kafka, BMS takes advantage of this powerful, distributed, multi-partitioned, and multi-replica messaging framework. The asynchronous communication between producers and consumers through the message queue allows them to function independently, eliminating the need for synchronization. In contrast to traditional messaging services, BMS simplifies the management of a Kafka cluster by providing it as a hosted service. This hosted solution allows users to easily integrate BMS with widely distributed applications without the burden of managing cluster operations, ensuring they only pay for what they utilize. As a result, BMS offers an effective and user-friendly method for addressing messaging requirements in contemporary distributed systems. Ultimately, this innovative approach not only enhances operational efficiency but also empowers organizations to focus on their core functions instead of infrastructure management.

What is Azure Event Hubs?

Event Hubs is a comprehensive managed service designed for the ingestion of real-time data, prioritizing ease of use, dependability, and the ability to scale. It facilitates the streaming of millions of events each second from various sources, enabling the development of agile data pipelines that respond instantly to business challenges. During emergencies, its geo-disaster recovery and geo-replication features ensure continuous data processing. The service integrates seamlessly with other Azure solutions, providing valuable insights for users. Furthermore, existing Apache Kafka clients can connect to Event Hubs without altering their code, allowing a streamlined Kafka experience free from the complexities of cluster management. Users benefit from both real-time data ingestion and microbatching within a single stream, allowing them to focus on deriving insights rather than on infrastructure upkeep. By leveraging Event Hubs, organizations can build robust real-time big data pipelines, swiftly addressing business challenges and maintaining agility in an ever-evolving landscape. This adaptability is crucial for businesses aiming to thrive in today's competitive market.

Media

Media

Integrations Supported

5X
Abstract Security
Apache Kafka
Ascend
Azure Marketplace
EMnify
Edge Delta
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Samza
Sclera
TriggerMesh

Integrations Supported

5X
Abstract Security
Apache Kafka
Ascend
Azure Marketplace
EMnify
Edge Delta
Evvox
LOGIQ
New Relic
Observo AI
Onum
PeerDB
PubSub+ Platform
Samza
Sclera
TriggerMesh

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$0.03 per hour
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Baidu AI Cloud

Date Founded

2000

Company Location

China

Company Website

intl.cloud.baidu.com/product/kafka.html

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

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

Categories and Features

Message Queue

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

Categories and Features

Streaming Analytics

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

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