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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

IBM Event Streams is a comprehensive event streaming service based on Apache Kafka, aimed at assisting businesses in managing and reacting to real-time data flows. It offers features such as machine learning integration, high availability, and secure deployment in the cloud, empowering organizations to develop smart applications that respond to events in real time. The platform is designed to accommodate multi-cloud infrastructures, disaster recovery options, and geo-replication, making it particularly suitable for critical operational tasks. By facilitating the construction and scaling of real-time, event-driven solutions, IBM Event Streams ensures that data is processed with speed and efficiency, ultimately enhancing business agility and responsiveness. As a result, organizations can harness the power of real-time data to drive innovation and improve decision-making processes.

Description

Modern distributed messaging platforms like Kafka and Pulsar have established a robust Pub/Sub framework suitable for the demands of contemporary data-rich applications. Pravega takes this widely accepted programming model a step further by offering a cloud-native streaming infrastructure that broadens its applicability across various use cases. With features that ensure streams are durable, consistent, and elastic, Pravega also offers native support for long-term data retention. It addresses architectural challenges that earlier topic-centric systems such as Kafka and Pulsar have struggled with, including the automatic scaling of partitions and maintaining optimal performance despite a high volume of partitions. Additionally, Pravega expands the types of applications it can support by adeptly managing both small-scale events typical in IoT and larger data sets relevant to video processing and analytics. Beyond merely providing stream abstractions, Pravega facilitates the replication of application states and the storage of key-value pairs, making it a versatile choice for developers. This flexibility empowers users to create more complex and resilient data architectures tailored to their specific needs.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Kafka Yes 
EmailSuccess No 
IBM MQ on Cloud Yes 
Pulsar No 
Waterstream Yes 
meshIQ Yes 

Integrations

Apache Kafka Yes 
EmailSuccess Yes 
IBM MQ on Cloud No 
Pulsar Yes 
Waterstream No 
meshIQ No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

IBM

Founded

1911

Country

United States

Website

www.ibm.com/products/event-streams

Vendor Details

Company Name

Pravega

Founded

2017

Country

United States

Website

pravega.io

Product Features

Message Queue

Asynchronous Communications Protocol No 
Data Error Reduction No 
Message Encryption No 
On-Premise Installation No 
Roles / Permissions No 
Storage / Retrieval / Deletion No 
System Decoupling No 

Product Features

Cloud Storage

Access Control No 
Archiving & Retention No 
Backup No 
Data Migration No 
Data Synchronization No 
Encryption No 
File Sharing No 
Version Control No 

Alternatives

Alternatives

Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation
Amazon MSK Reviews

Amazon MSK

Amazon
Apache Kafka Reviews

Apache Kafka

The Apache Software Foundation