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What is IBM Event Streams?

IBM Event Streams is a robust event streaming solution based on Apache Kafka that helps organizations manage and respond to data in real time. It includes features like machine learning integration, high availability, and secure cloud deployment, allowing businesses to create intelligent applications that react promptly to events. The service is tailored to support multi-cloud environments, offers disaster recovery capabilities, and enables geo-replication, making it an ideal choice for mission-critical operations. By enabling the development and scaling of real-time, event-driven applications, IBM Event Streams ensures efficient and fast data processing, which significantly boosts organizational agility and responsiveness. Consequently, companies can leverage real-time data to foster innovation and enhance their decision-making strategies while navigating complex market dynamics. This adaptability positions them favorably in an increasingly competitive landscape.

What is Azure Queue Storage?

Utilize Azure Queue Storage to build flexible applications that decouple functionalities, promoting improved resilience during high-demand periods. By designing your applications with scalability as a core principle, you enable various components to function independently, which opens up specific scaling strategies tailored to your needs. The asynchronous messaging capabilities of queue storage support seamless communication between different parts of your application, whether they are situated in the cloud, on local devices, in on-premises setups, or across mobile environments. Implementing Queue Storage can significantly enhance the efficiency of your service deployments, enabling your applications to manage unexpected surges in traffic and preventing servers from becoming overwhelmed by a sudden influx of requests. Moreover, keeping an eye on the queue length allows you to infuse agility into your application, enabling the dynamic addition or reduction of worker nodes based on fluctuating customer demands. This strategy not only boosts performance but also ensures that resource allocation is finely tuned to meet real-time requirements, leading to a more responsive and effective application overall. By leveraging these capabilities, you can create a robust ecosystem that adapts seamlessly to changing conditions in user traffic.

Media

Media

Integrations Supported

Apache Kafka
Beats
Enterprise Recon
IBM MQ on Cloud
SSIS Integration Toolkit
Waterstream
meshIQ

Integrations Supported

Apache Kafka
Beats
Enterprise Recon
IBM MQ on Cloud
SSIS Integration Toolkit
Waterstream
meshIQ

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
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

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/event-streams

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/storage/queues/

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

Message Queue

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

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