# Red Hat OpenShift Streams for Apache Kafka Reviews **Vendor:** Red Hat **Category:** [Event Stream Processing Software](https://www.g2.com/categories/event-stream-processing) **Average Rating:** 4.4/5.0 **Total Reviews:** 26 ## About Red Hat OpenShift Streams for Apache Kafka Red Hat® OpenShift® Streams for Apache Kafka is a managed cloud service that provides a streamlined developer experience for building, deploying, and scaling new cloud-native applications or modernizing existing systems. ## Red Hat OpenShift Streams for Apache Kafka Reviews ### 1. RedHat OpenShift Streams is easier, optimized, efficient and scalable to manage & deploy application **Rating:** 5.0/5.0 stars **Reviewed by:** Verified User in Computer Software | Small-Business (50 or fewer emp.) **Reviewed Date:** May 15, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** One of the many things that I like about Red Hat OpenShift Streams is that it simplifies the development and management of Apache Kafka clusters by automating many tasks such as provisioning, scaling and monitoring. It also provides an intuitive User Interface and command line tools for managing Kafka resources. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** One thing that I would like RedHat OpenShift Streams to improve is to reduce the dependency on OpenShift ecosystem in scenarios where If you have a different container platform preference or want to use Kafka in a different environment, you may need to consider alternative options. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Red Hat OpenShift Streams enables the implementation of real-time streaming and event-driven architectures that are scalable and flexible. Kafka is designed for handling high-throughput, real-time data streams, making it suitable for building event-driven systems and complex and simple applications. By leveraging Kafka's capabilities within the OpenShift environment, I, as a developer, can use it to build scalable, responsive, and event-driven applications that process and react to real-time data. ### 2. powerful and highly scalable platform **Rating:** 4.0/5.0 stars **Reviewed by:** Wahidun N. | Back-end Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** March 16, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** There are several positive things about Red Hat OpenShift Streams for Apache Kafka that make it a popular choice among businesses and developers: Scalability: OpenShift Streams for Apache Kafka is highly scalable, allowing users to process and analyze large amounts of data in real time. It can handle millions of events per second, making it ideal for high-throughput data streaming applications. Integration with OpenShift: The platform seamlessly integrates with OpenShift, which is a popular container orchestration platform. This integration allows for easy deployment and management of Kafka clusters within an OpenShift environment, making it easier for businesses to leverage the power of both platforms. Multiple data sources and sinks: OpenShift Streams for Apache Kafka supports multiple data sources and sinks, making it easy to integrate with other data platforms and services. This allows for the creation of highly complex data pipelines that can process and analyze data from various sources in real time. Easy management: The platform comes with an intuitive web console that makes it easy to manage and monitor Kafka clusters and topics, as well as create and configure new topics and partitions. This simplifies the management of Kafka clusters and topics, making it easier for businesses to use Kafka for data streaming applications. Advanced features and capabilities: OpenShift Streams for Apache Kafka comes with several advanced features and capabilities, such as message compression, partition rebalancing, and message replay. These features make it a powerful tool for processing and analyzing real-time data, allowing businesses to gain valuable insights from their data in real time. Overall, Red Hat OpenShift Streams for Apache Kafka is a reliable and scalable platform that offers several advanced features and capabilities, making it an ideal choice for businesses looking to build high-throughput data streaming applications. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Red Hat, OpenShift Streams for Apache Kafka, is a powerful platform for data streaming, but there are some things to be aware of: It can be difficult to use, so it may not be suitable for businesses without experienced technical staff. It can be more expensive than other options. It requires significant resources, such as computing power and storage. It has a steep learning curve, which can result in longer development times. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Red Hat OpenShift Streams for Apache Kafka helps businesses with data streaming by: Allowing them to process large amounts of data quickly and efficiently. Simplifying the integration of data from different sources. Ensuring that data is processed accurately and reliably. Making it easy to manage and monitor data streaming applications. These benefits help businesses gain valuable insights from their data and make better decisions. ### 3. It was rewarding, wonderful and stressfree **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Small-Business (50 or fewer emp.) **Reviewed Date:** March 24, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Scalability: Red Hat OpenShift Streams for Apache Kafka can handle massive volumes of data traffic and scale horizontally to meet your growing business needs, making it an excellent choice for organizations that require a highly scalable streaming platform. Cloud-Native Architecture: This platform is designed to be cloud-native, making it easy to integrate with other cloud-native technologies like Kubernetes and OpenShift, which makes it ideal for building modern, cloud-native applications. Real-Time Data Processing: Red Hat OpenShift Streams for Apache Kafka allows you to process and analyze real-time data from multiple sources, giving you up-to-date information to make informed decisions. Security: The platform provides robust security features, including encryption and authentication, to protect your data and applications from cyber threats. Open-Source: Red Hat OpenShift Streams for Apache Kafka is built on top of the open-source Apache Kafka platform, which means that you can leverage the collective expertise of the open-source community to improve and customize the platform according to your specific needs. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Learning Curve: Red Hat OpenShift Streams for Apache Kafka can have a steeper learning curve for beginners, particularly those who are not familiar with the Apache Kafka ecosystem. It requires some understanding of distributed systems, event-driven architectures, and stream processing. Cost: The cost of using Red Hat OpenShift Streams for Apache Kafka can be higher than other streaming platforms, particularly if you opt for the enterprise version. However, the benefits of scalability, reliability, and security may offset the additional cost. Complexity: The platform can be complex to set up and manage, particularly if you have complex use cases or data pipelines. You may require a team with specialized skills to ensure that the platform runs efficiently. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Scalability: Processing and analyzing massive amounts of data in real-time can be challenging, particularly as your business grows and your data volume increases. Red Hat OpenShift Streams for Apache Kafka can handle massive volumes of data traffic and scale horizontally to meet your growing business needs, ensuring that your applications are always available. Reliability: Data processing pipelines need to be reliable to ensure that data is processed correctly and consistently. Red Hat OpenShift Streams for Apache Kafka provides fault tolerance and resiliency, ensuring that data is not lost, and processing failures are handled correctly. Real-time Data Processing: Traditional batch processing methods are no longer adequate for businesses that require up-to-date information to make informed decisions. Red Hat OpenShift Streams for Apache Kafka enables you to process and analyze real-time data from multiple sources, giving you up-to-date information to make informed decisions. Data Integration: Many businesses have data stored in various sources, making it challenging to integrate data and make sense of it. Red Hat OpenShift Streams for Apache Kafka provides a unified platform for data processing, enabling you to integrate data from multiple sources into a single data stream. ### 4. Explored Red Hat OpenShift Streams for Apache Kafka for my realtime applications **Rating:** 5.0/5.0 stars **Reviewed by:** Mahesh b. | DevOps and Cloud Sr. Architect, Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Since it meets Open Source standards and it is container Portability, totally automated installation and its Scalability and flexibility, multicluster management. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** There is no much specific that can be disliked from Red Hat Openshift Streams for Pache Kafka; since its a new beginning and explore from my end, there are many liked components rather unlike. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** It allows to store and analyze historical and real-time data, it's a distributed event streaming platform that is optimized for ingesting and transforming real-time streaming, which includes messaging, storage, etc. ### 5. Stream platform with ease **Rating:** 5.0/5.0 stars **Reviewed by:** Umesh M. | Software Engineer - II, Enterprise (> 1000 emp.) **Reviewed Date:** May 10, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Previously we use to manage our own kafka , and upgrade was tedious task. Now openshift managet kafka is an ease. We more focus on actual development then managing infra. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** We can improve documentation and not very good for large scale systems. E.g Performance environment **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** We were using external apache kafka.we have to deploy ourself and Manage it, that was tedious task openshift managed kafka is an ease. ### 6. Apache Kafka is a fully managed and highly scalable platform for log monitoring **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Enterprise (> 1000 emp.) **Reviewed Date:** April 24, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Openshift streams for Apache Kafka is the best log monitoring engine when we are using data in motion, because of its high scalability. Also, this platform offers best robust security features. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** The only challange I faced was complexity during the learning phase for Apache Kafka. Also, openshift streams for Apache Kafka is not as robust as some of the other Kafka distributions on the market. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Red Hat Openshift streams for Apache Kafka is a very reliable platform for building and deploying real-time data streaming applications such as hotstar, Netflix. For such platforms with heavy amount of users, this product is playing one crucial role. ### 7. Great technology, very wide use cases **Rating:** 4.5/5.0 stars **Reviewed by:** Vaibhav M. | Lead Software Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** May 09, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Great technology with enormous use cases, helped me a lot in different scenarios during my application design to get certain things done. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Can't really think of any, but if I have to nitpick, there may be a small learning curve involved. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Processing huge number of events, streams in the application. ### 8. Best Streaming tool **Rating:** 5.0/5.0 stars **Reviewed by:** Rohit S. | Principal Techincal Consultant, Enterprise (> 1000 emp.) **Reviewed Date:** April 19, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** You do no need to host Kafka anymore. It will reduce the time for managing infrastructure **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** There should be clarity about the setting up the ACLs **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Before using these Red Hat OpenShift Streams for Apache Kafka, we must create our own infrastructure and manage the Kafka clusters. But now we just use this as service ### 9. Cluster management **Rating:** 5.0/5.0 stars **Reviewed by:** Amit Kumar T. | Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** May 18, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Openshit best to manage cluster and deploy applications with seamlessly. Apache kafka is best tool for managing messaging services. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Openshift has nothing to dislike sameas it for apache kafka. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Auto deployment and container managment for software development ### 10. It helped streamline deployments, and made the massive amounts of data we handle manageable. **Rating:** 2.5/5.0 stars **Reviewed by:** Verified User in Computer Software | Enterprise (> 1000 emp.) **Reviewed Date:** January 18, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Red Hat OpenShift Streams for Apache Kafka helped make our rather prolonged, and drawn out deployments, a bit simpler, we are able to manage several aspects of the deployment cycle using Openshift. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** It is useful for storage of data, however when it comes to certain jobs it can take a long time to process. This is true in the case of ETL jobs it takes a lot of real-time to process these jobs. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Red Hat OpenShift Streams for Apache Kafka is helping solve the problem of how we deploy changes to our LIMS and CMS systems. It was a little more complex in nature the way we moved around scripts and data for deployments and openshift helped streamline that. ### 11. Open shift streams to improve performace of application **Rating:** 5.0/5.0 stars **Reviewed by:** Amulya Reddy K. | Consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** March 28, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Most helpful is that it allows application to run faster and allows scalable, always available application **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Confluence streams are more popular than open shift streams and Redis streams is something similar, whose features can be incorporated in open shift streams **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Scalability of the application improved a lot. Its now easier and faster to develop and test a feature ### 12. Speed is good **Rating:** 5.0/5.0 stars **Reviewed by:** Divyanshu S. | Back End Developer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 04, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** The speed of the streams is really good and best gor scalable systems. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** The tutorial can be improved for learning purposes. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Making our messages reach on time and without any hurdle ### 13. Cloud for building, deploying, and scaling new cloud-native applications **Rating:** 4.0/5.0 stars **Reviewed by:** Kourosh M. | HighTech consultant, Small-Business (50 or fewer emp.) **Reviewed Date:** January 14, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Red Hat OpenShift Connectors; Enables sharing of streaming data between applications and enterprise systems using pre-built connectors without writing a single line of code. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Pricing strategies are not perfect for individual users; but more according to the needs of corporations. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Our use case was to find a solution to replace batch data with real-time events. It helped us and our developers to focus on streaming data rather than on maintaining or configuring the infrastructure. ### 14. Highly Recommended **Rating:** 2.5/5.0 stars **Reviewed by:** Angad B. | Senior Software Engineer, Small-Business (50 or fewer emp.) **Reviewed Date:** May 06, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Streams are very fast and reliable but difficult to understand **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Difficult to understand and implement. It's working fine. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Its benefit for faster streaming data and sending messages. ### 15. Its a good platform, if you are looking for kafka integration in your application **Rating:** 4.0/5.0 stars **Reviewed by:** Lokesh K. | Small-Business (50 or fewer emp.) **Reviewed Date:** May 08, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Efficiency and the speed to process the message queues. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Configuration sometimes becomes difficult. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Messaging queues are now simplified with kafka ### 16. Containerized streaming platform on KVM **Rating:** 3.0/5.0 stars **Reviewed by:** Verified User in Computer & Network Security | Enterprise (> 1000 emp.) **Reviewed Date:** December 26, 2022 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Very simple to set up with Kafka and the container platform nicely integrated in the software system. Upgrades have not yet been tried but could be a challenge We will see **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Much of the configuration is very manual unless you use a specialized Red Hat based tool for configuration. I'm sure this can be templatized which we will look at if we scale this platform out **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** They are helping me with the event streaming platform on the container service that we are offering for our system PaaS. It is also helping our applications from event scaling perspective ### 17. it was amazing **Rating:** 4.5/5.0 stars **Reviewed by:** Verified User in Computer Games | Mid-Market (51-1000 emp.) **Reviewed Date:** March 28, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** client does not need to worry about maintaining kafka but focus on building business value **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** not much, it is very useful product saving client's time. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** asynchronous messaging is the main problem which is being addressed. client background data is captured via this mechanism. ### 18. the best solution ever **Rating:** 4.5/5.0 stars **Reviewed by:** Aya G. | Search Engine specialist and content creation , Enterprise (> 1000 emp.) **Reviewed Date:** January 12, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** redhat openshift is so fast and realiable i love using it **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** sometimes its slow but most of time it is so fast **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** its always updating which is good every version is better than another ### 19. Tahta good **Rating:** 5.0/5.0 stars **Reviewed by:** Osman . | Payment Systems Business Analyst, Enterprise (> 1000 emp.) **Reviewed Date:** January 17, 2023 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** very useful. You can reach everything very easily and you can use every management comfortably. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** There is nothing I don't like. This much. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Examining service logs ### 20. Red Hat OpenShift Streams allows wide range of data-driven solutions **Rating:** 5.0/5.0 stars **Reviewed by:** Ahmed I. | Manager converged solution architect, Mid-Market (51-1000 emp.) **Reviewed Date:** February 28, 2022 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Red Hat OpenShift Streams for Apache Kafka provides a uniform experience that shields the normal users from administrative tasks, supports experience across clouds, that's and easily connects to other OpenShift workloads. So that allows us to get productive rapidly with quick starts, and use the CLI) and API access to integrate into existing workflows. Also, RH OpenShift for Kafka has a pretty performant. Even a fairly small cluster can support a very high throughput of messages. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** actually, nothing i dislike the service is awesome and the setup and integration is easy and the documentation is very helpful. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Red Hat OpenShift Streams for Apache Kafka is an awesome way to stream data between applications. It’s often used to connect up components in a distributed system, So it helps us while we are using microservices. Red Hat OpenShift Streams for Apache Kafka helps for the below - Collecting high-volume events like the application and website clicks. - Sharing database change events. This method is used for sharing data between microservices. - Last-value queues – where publish a bunch of information on a topic, but want people to be able to access the “last value” quickly, e.g. stock prices. - Simple messaging (similar to RabbitMQ or ActiveMQ). Kafka can do simple messaging too. ### 21. Very High speed messaging **Rating:** 4.5/5.0 stars **Reviewed by:** Amgad A. | Technology, Small-Business (50 or fewer emp.) **Reviewed Date:** March 06, 2022 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Red Hat OpenShift Streams for Apache Kafka makes it easy to create and connect to real-time data streams. Streams to delivering event driven and data analytics applications. The combination that's done from RH of seamless operations of all the microservices, large data transfer volumes, and managed operations allows us to lower operational costs. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** The time tha been taken to consume and share streaming data between applications and enterprise systems. and also that of import data from external systems into Kafka topics, and export data from Kafka topics into external systems. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Red Hat OpenShift Streams for Apache Kafka allows us to benefits from the faster application velocity that's allows us to begin developing immediately implement new technology and continuously modify individual microservices. Also the simplified application lifecycle across hybrid cloud environments that seamlessly connects to any workload. ### 22. Apache Kafka Review **Rating:** 4.0/5.0 stars **Reviewed by:** Verified User in Banking | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2022 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** One of the strong advantages and plus point is its low latency and high throughput. Its capacity to support multiple data within a second is appreciable. By comparing competitive products it's more user-friendly and I think easy to adopt. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** This tool has some of the cons like no monitoring capability & some of the fewer functions as related to messaging. Sometimes due to high data performance might fall down and this is observed recently in one of the use cases. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** This helps in batch handling capability i.e ETL-like functionality. Also licensing cost is a bit lower than other products. ### 23. Experience so far **Rating:** 3.5/5.0 stars **Reviewed by:** Verified User in Information Technology and Services | Small-Business (50 or fewer emp.) **Reviewed Date:** June 16, 2022 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** It was a good experience. It is quite user-friendly, I can create TOPICS easily and most importantly, I can connect their server with my code easily. Docs are helpful. I can resolve huge bugs quickly and it also helps in learning **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** There is no button to delete TOPICS directly **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** It is solving the queue issue. I can easily create topics and connect them as producers and subscribers and can efficiently send data. Data consistently is the most important and OpenShift provides the best solution for this ### 24. Reduce operational cost and complexity of delivering real-time applications **Rating:** 5.0/5.0 stars **Reviewed by:** balaram m. | Senior Software Development Engineer, Enterprise (> 1000 emp.) **Reviewed Date:** October 11, 2021 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Serverless Operator, Knative Eventing, and the KnativeKafka custom resource installed on web cluster. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Log management is not user friendly; deep expertise needed to understand the logs **Recommendations to others considering Red Hat OpenShift Streams for Apache Kafka:** I would gladly recommend Red Hat OpenShift Streams for Apache Kafka for enterprise usage. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Scalability features for horizontal and vertical scaling ### 25. it is a very good system to handle multiple data **Rating:** 5.0/5.0 stars **Reviewed by:** Ramakrishna B. | Software Development Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2021 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** The system to handle complete Kafka system with in the open shift streams **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** I don't dislike anything in person, but I would like to see more customizable programming options. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** I was solving a problem with processing large data using the streams. It was fast and real-time . I would be easily able to generate real-time recommendations using this. ### 26. It is good Steams where we can learn more thing and improve our knowladge **Rating:** 4.5/5.0 stars **Reviewed by:** Manish Kumar S. | Senior Software Engineer, Mid-Market (51-1000 emp.) **Reviewed Date:** September 18, 2021 **What do you like best about Red Hat OpenShift Streams for Apache Kafka?** Knowledge Sharing.Problem Solving, information about Kafka. **What do you dislike about Red Hat OpenShift Streams for Apache Kafka?** Need more details description. Follow up with some real-time scenarios. **What problems is Red Hat OpenShift Streams for Apache Kafka solving and how is that benefiting you?** Kafka is highly durable. Kafka is Highly Reliable. Kafka Offers High Performance. ## Red Hat OpenShift Streams for Apache Kafka Discussions - [What is Red Hat OpenShift Streams for Apache Kafka used for?](https://www.g2.com/discussions/what-is-red-hat-openshift-streams-for-apache-kafka-used-for) - [View Red Hat OpenShift Streams for Apache Kafka pricing details and edition comparison](https://www.g2.com/products/red-hat-openshift-streams-for-apache-kafka/reviews?section=pricing&secure%5Bexpires_at%5D=2026-05-22+15%3A48%3A02+-0500&secure%5Bsession_id%5D=02b4a926-c902-454b-b80d-d0055884642f&secure%5Btoken%5D=4fdc5f722989855758772190cd8fa67cfa49f66352d4c32ad342951b7b41c1c2&format=llm_user) ## Red Hat OpenShift Streams for Apache Kafka Features **Data** - Data Processing - Data Sources - Integration - Real-Time Processing **Analytics** - Reporting & Analytics **Building Reports** - Data Transformation - Data Modeling - WYSIWYG Report Design - Integration APIs **Platform** - Mobile User Support - Customization - User, Role, and Access Management - Internationalization - Sandbox / Test Environments - Performance and Reliability - Breadth of Partner Applications ## Top Red Hat OpenShift Streams for Apache Kafka Alternatives - [SAS Viya](https://www.g2.com/products/sas-sas-viya/reviews) - 4.3/5.0 (755 reviews) - [Aiven for Apache Kafka](https://www.g2.com/products/aiven-for-apache-kafka/reviews) - 4.3/5.0 (244 reviews) - [IBM Event Streams](https://www.g2.com/products/ibm-event-streams/reviews) - 4.3/5.0 (12 reviews)