Apache Kafka Reviews & Ratings

Apache Kafka

5.0 out of 5 stars

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ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
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Total 5 out of 5 stars
ease 4 out of 5 stars
features 5 out of 5 stars
design 5 out of 5 stars
support 5 out of 5 stars

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What is Red Hat OpenShift Streams?

Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service aimed at improving the developer experience when it comes to building, deploying, and scaling cloud-native applications, while also facilitating the modernization of older systems. This solution streamlines the tasks of creating, discovering, and connecting to real-time data streams, no matter where they are hosted. Streams are essential for the creation of event-driven applications and data analytics projects. By providing fluid operations across distributed microservices and efficiently managing substantial data transfers, it empowers teams to capitalize on their strengths, quicken their time to market, and minimize operational costs. Furthermore, OpenShift Streams for Apache Kafka boasts a strong Kafka ecosystem and integrates into a wider range of cloud services within the Red Hat OpenShift portfolio, enabling users to craft a wide variety of data-centric applications. Ultimately, the comprehensive capabilities of this service help organizations effectively address the challenges posed by modern software development, supporting innovation and growth in an ever-evolving technological 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

Wiiisdom Ops

Integrations Supported

3forge
Benerator
Bicycle AI
DBOS
Digital Twin Streaming Service
Elastic Observability
Foundational
HighByte Intelligence Hub
IronCore Labs
Latitude
Mule ESB
Observo AI
OctoData
QuestDB
SOC Prime Platform
Secuvy AI
Specmatic
Stackhero
Tenzir

API Availability

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

Red Hat

Date Founded

1993

Company Location

United States

Company Website

www.redhat.com/en/technologies/cloud-computing/openshift/openshift-streams-for-apache-kafka

Company Facts

Organization Name

The Apache Software Foundation

Date Founded

1999

Company Location

United States

Company Website

kafka.apache.org

Categories and Features

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

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