Redpanda offers a modern, intuitive interface with efficient resource usage, seamlessly integrating with Kafka, and enhancing performance through fast operations and reliable support. Organizations benefit from its memory efficiency and high performance for demanding data workloads.
| Title | Rating | Mindshare | Recommending | |
|---|---|---|---|---|
| Amazon Kinesis | 4.0 | 8.7% | 89% | 27 interviewsAdd to research |
| Apache Pulsar | 4.0 | 2.0% | 100% | 1 interviewAdd to research |
Built on a C++ foundation, Redpanda integrates easily with Kafka clients and stands out for fast operations, simplified Docker setup, and effective metrics monitoring. Performance is enhanced by memory efficiency and high throughput capabilities. The community provides robust support, and clear documentation aids the adoption process. However, improvements could be made in version control, command-line tools, and documentation, particularly in areas such as automation file management and chatbot documentation assistance. Redpanda is widely utilized in data streaming and normalization, efficiently handling large telemetry data volumes with minimal latency, essential for building asynchronous applications across microservices and monitoring systems.
What are the most important features of Redpanda?Redpanda is commonly implemented in tech and software industries to streamline data streaming and normalization processes, handling high telemetry data volumes effectively. Its capacity for sub-second response times makes it crucial for companies developing asynchronous applications, especially in microservices and monitoring systems.
I have worked with Redpanda for the past two to three months. Mainly in the tech industry or software industry, there's a huge rise of streaming data.
Redpanda serves as a very reliable and fast message broker, which lets you build applications asynchronously. The major use case is for my project specifically, we're using it for a monitoring system that we're building.
I haven't worked on enterprise-grade applications. It's a project for academic research for the college.
The industry standard for this kind of platform is Kafka. Confluent Kafka has acquired it. Kafka is an open-source platform built by Apache. Confluent is the commercial version of it.
The major improvement of Redpanda over Kafka is firstly, good documentation. Redpanda's documentation is very easily understandable, and they have a lot of examples. In addition to that, most of the setups include using another technology called Docker, which I am very familiar with.
Setting up technologies using Docker is very convenient to me, and Redpanda has provided many templates for that. Redpanda has its own built-in metrics exporter, making it easier to monitor and check performance.
What makes Redpanda superior is its performance since it's written in C++. C++ is pretty much the standard for high-performance applications.
Recently, for the documentation, they've built their own AI chatbot, which is focused on giving you answers based on their documentation. While using that, I did not find it to be very good. Maybe due to the fact that it's a first prototype and was very recently released. However, from a product perspective, I do not have any problems.
I have used Redpanda for the past two to three months.
I am definitely satisfied with the stability provided by Redpanda.
In the free version, it's still working with containers itself. They've provided the template for one and three nodes for horizontal scaling.
For our project, we've set up five containers. The template is ready in the Dockerfile they provided. You just add the existing nodes and give them the respective configurations.
I have not escalated any questions to technical support.
Positive
The industry standard for this kind of platform is Kafka. Confluent Kafka has acquired it. Kafka is an open-source platform built by Apache. Confluent is the commercial version of it. I have worked with Kafka, so I pretty much know how it works. I found Redpanda's documentation and setup to be more straightforward.
Once I learned about this platform, I read about it a bit and then I looked at how they set it up on their systems. It's a simple straightforward Dockerfile. If you have Docker installed on your system, you can just spin it up quickly without any issues.
Redpanda is actually a commercial platform, but they do provide free versions as well. I've been working only with the free versions.
Anyone finishing their bachelor's degree in computer science engineering would have had some hands-on experience with Kafka and understand how it works. Shifting from Kafka to Redpanda would be very simple for them.
I'd rate the solution ten out of ten.
