Redpanda Reviews

Name: Redpanda
Brand: Redpanda Data
Rating: 4.4 (4 reviews)

4.4 out of 5

4 reviews
100% willing to recommend

What is Redpanda?

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.

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Redpanda is the #16 ranked solution in Streaming Analytics tools. PeerSpot users give Redpanda an average rating of 8.8 out of 10. Redpanda is most commonly compared to Amazon Kinesis: Redpanda vs Amazon Kinesis.

Helped 861,524 peers since 2012

Featured Redpanda reviews

Vishal M Godi

Big Data Teaching Assistant at Center for Cloud Computing and Big Data, PES University

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.

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Akhil S Varughese

Lead DevOps Engineer at Activelobby Information Systems Pvt Ltd.

The cost savings have been significant. We were able to eliminate one MSK cluster, and still, the end-to-end lag hasn't been worse. The performance is superb, and the value we are getting for the money we pay is great. Additionally, peace of mind is also a significant benefit due to the high performance and fault tolerance.

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ArpitShah

Software Analyst at CLSA

We use the libraries in the different programming languages. We use the message format in Avro, convert the data in the format, and pass it on. We have contacted the sales team about the solution. So far, the product fulfills our requirements. We get lots of data. The data flows through Kafka to Redpanda. Then it goes to a database. If our infrastructure goes down for a week, we will not lose data. It is an advantage of Redpanda. I recommend the product to others. We might choose a different solution if we find something cheaper. We used Redpanda because we did not want to self-host our software. Redpanda is a piece of infrastructure. There is not much of a learning curve. Overall, I rate the tool an eight out of ten.

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Redpanda mindshare

As of July 2025, the mindshare of Redpanda in the Streaming Analytics category stands at 1.1%, up from 0.1% compared to the previous year, according to calculations based on PeerSpot user engagement data.

Streaming Analytics

PeerResearch reports based on Redpanda reviews

Type	Title	Date
Category	Streaming Analytics	Jul 14, 2025	Download
Product	Reviews, tips, and advice from real users	Jul 14, 2025	Download
Comparison	Redpanda vs Databricks	Jul 14, 2025	Download
Comparison	Redpanda vs Amazon Kinesis	Jul 14, 2025	Download
Comparison	Redpanda vs Azure Stream Analytics	Jul 14, 2025	Download

Title	Rating	Mindshare	Recommending
Amazon Kinesis	4.0	8.0%	89%	28 interviews Add to research
Apache Pulsar	4.0	2.1%	100%	1 interview Add to research

Valuable Features

Redpanda's modern, simple UI enhances user navigation. Its C++ foundation ensures efficiency, outperforming Kafka in resource consumption. Installation remains standard, and it supports native Kafka clients, aiding first-time learners. Its performance, described as Kafka on steroids, stands out, aided by comprehensive documentation and Docker templates. Users appreciate built-in metrics for monitoring. Fast, memory-efficient operations and clear documentation contribute to Redpanda's value. Online community support bolsters its appeal.

"What makes Redpanda superior is its performance since it's written in C++. C++ is pretty much the standard for high-performance applications."
"The cost savings have been significant."
"I tested it with ten-plus nodes, and it's highly scalable."

Room for Improvement

Redpanda's version control system requires improvement as it sometimes leads to confusion. Command-line tools are lacking responsiveness and efficiency in checking topic statuses. Documentation, especially for self-hosting, could be more comprehensive and updated. Their recent AI chatbot, designed for documentation support, has not met user expectations, potentially due to its early development stage.

"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."
"When it comes to self-hosting, their documentation could be improved."
"The command-line tools need to be improved. To quickly check the status of the topics and all."

Pricing

Redpanda offers competitive and cost-effective pricing, being cheaper than Vanilla Kafka and Confluent. It provides a free version for general use, with fees applicable only for support. Although not the lowest priced, users find Redpanda's high performance and value justify its reasonable cost. As a commercial platform, it accommodates various budget requirements, attracting enterprises with its balanced pricing and offerings.

"It's free. Everybody can use it, only support is paid."
"Redpanda is cheaper than its competitors."

Popular Use Cases

Redpanda is primarily utilized for data streaming, data normalization, and message brokering. Users apply it in managing high volumes of telemetry data with stringent latency needs, processing thousands of messages per minute efficiently. It is integrated within data pipelines to achieve low-latency response times. In the tech industry, Redpanda is appreciated for its robust performance and reliability, supporting asynchronous application development and functioning as a critical component of microservices and monitoring systems.

Deployment

Redpanda's initial setup is noted as straightforward and easy, with users highlighting its simplicity. The vendor manages the setup, allowing users to start quickly after purchase. Setting up clusters is considered easier compared to other options, involving an Ansible script that takes around 10-15 minutes per cluster. Users also appreciate the simple Dockerfile process, allowing quick deployment if Docker is installed.

Scalability

Redpanda demonstrates impressive scalability. Users mention successful tests with multiple nodes and praise its capacity for handling numerous active users. The system's tiered storage feature contributes to its efficiency. Scalability is adaptable with templates for horizontal scaling, suitable for multiple containers. This makes it popular in larger setups, where many individuals or entities utilize Redpanda across a variety of applications. Users rate its scalability as high, emphasizing its reliability in diverse environments.

Stability

Redpanda is described as stable, with users noting no bugs and satisfactory performance. Its reliance on the RAFT consensus algorithm enhances reliability through consistent data and fault tolerance during cluster formation. Users express satisfaction with its stability for various workloads, appreciating the system's ability to maintain performance levels consistently.

These insights are based on the in-depth reviews provided by peers to help you make a better buying decision.

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Learn more about Redpanda

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?

Modern UI: Provides an intuitive interface for ease of use.
Efficient Resource Usage: Built on C++ for performance optimization.
Seamless Integration: Works well with Kafka clients for smooth operations.
Simplified Setup: Docker templates facilitate easy installation.
Built-in Metrics Exporters: Enhance monitoring and visibility.
High Performance: Ensures memory efficiency and quick data processing.

What benefits and ROI can users expect?

Fast Operations: Accelerates data processing for efficient workflows.
Reliable Support: Strong community aids troubleshooting and development.
Clear Documentation: Helps users quickly onboard and manage Redpanda.
Low Latency: Critical for applications requiring quick response times.
Sub-second Response: Supports demanding performance and latency needs.

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.