Ratings and Reviews 0 Ratings

Total
ease
features
design
support

This software has no reviews. Be the first to write a review.

Write a Review

Ratings and Reviews 1 Rating

Total
ease
features
design
support

Alternatives to Consider

  • HiveMQ Reviews & Ratings
    92 Ratings
    Company Website
  • Stonebranch Reviews & Ratings
    183 Ratings
    Company Website
  • MOVEit Reviews & Ratings
    625 Ratings
    Company Website
  • Servers.com by Nexcess Reviews & Ratings
    15 Ratings
    Company Website
  • DataHub Reviews & Ratings
    10 Ratings
    Company Website
  • GiveLife365 Reviews & Ratings
    11 Ratings
    Company Website
  • TelemetryOS Reviews & Ratings
    282 Ratings
    Company Website
  • Elecard Boro Reviews & Ratings
    9 Ratings
    Company Website
  • Kasm Workspaces Reviews & Ratings
    127 Ratings
    Company Website
  • EventsAir Reviews & Ratings
    154 Ratings
    Company Website

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 Apache Kafka?

Apache Kafka® is a powerful, open-source solution tailored for distributed streaming applications. It supports the expansion of production clusters to include up to a thousand brokers, enabling the management of trillions of messages each day and overseeing petabytes of data spread over hundreds of thousands of partitions. The architecture offers the capability to effortlessly scale storage and processing resources according to demand. Clusters can be extended across multiple availability zones or interconnected across various geographical locations, ensuring resilience and flexibility. Users can manipulate streams of events through diverse operations such as joins, aggregations, filters, and transformations, all while benefiting from event-time and exactly-once processing assurances. Kafka also includes a Connect interface that facilitates seamless integration with a wide array of event sources and sinks, including but not limited to Postgres, JMS, Elasticsearch, and AWS S3. Furthermore, it allows for the reading, writing, and processing of event streams using numerous programming languages, catering to a broad spectrum of development requirements. This adaptability, combined with its scalability, solidifies Kafka's position as a premier choice for organizations aiming to leverage real-time data streams efficiently. With its extensive ecosystem and community support, Kafka continues to evolve, addressing the needs of modern data-driven enterprises.

Media

Media

Integrations Supported

Waterstream
meshIQ

Integrations Supported

Waterstream
meshIQ
Acryl Data
ActionIQ
Baidu Messaging System
Cleo Integration Cloud
CorralData
CrateDB
HighByte Intelligence Hub
InformationGrid
JHipster
Jovu
MatchX
MayaData
Onum
Pathway
Prometheus
Selector Analytics
StreamNative
Striim

API Availability

Has API

API Availability

Pricing Information

Pricing not provided

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

SaaS
Windows
Mac
Linux

Customer Service / Support

Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

IBM

Date Founded

1911

Company Location

United States

Company Website

www.ibm.com/products/event-streams

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

kafka.apache.org

Categories and Features

Event Brokers

Not specified

Message Queue

Not specified

Categories and Features

Data Pipeline

Not specified

Event Brokers

Not specified

iPaaS

Not specified

Message Queue

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

Popular Alternatives

Apache Kafka Reviews & Ratings

Apache Kafka

The Apache Software Foundation

Popular Alternatives