Amazon Kinesis vs Redpanda comparison

Amazon Web Services (AWS) and Redpanda Data are both solutions in the Streaming Analytics category. Amazon Web Services (AWS) is ranked #5 with an average rating of 8.4, while Redpanda Data is ranked #14 with an average rating of 9.3. Amazon Web Services (AWS) holds a 4.2% mindshare in SA, compared to Redpanda Data’s 2.0% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Redpanda Data users who would recommend it.

Amazon Kinesis

Read 29 Amazon Kinesis reviews

3,106 Views
3,106 Comparison Views

90% willing to recommend

Redpanda

Read 6 Redpanda reviews

1,148 Views
1,137 Comparison Views

100% willing to recommend

Amazon Kinesis

Redpanda

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 17, 2024

Amazon Kinesis and Redpanda compete in the data streaming sector. Kinesis seems to have the upper hand due to its integration within the AWS ecosystem and real-time data processing capabilities.

Features: Amazon Kinesis is praised for its seamless integration with AWS services, real-time data processing, and scalability. It is easy to manage due to its fully-hosted nature. Redpanda is noted for its high-speed data streaming and efficient resource utilization thanks to its C++ foundation. It performs exceptionally well in self-hosted setups.

Room for Improvement: Amazon Kinesis could improve its sharding capabilities and increase default limits. Integration with other cloud services can be limited, and Kinesis Data Analytics might benefit from simplification. Redpanda’s version control requires enhancements, its documentation needs clarity, and its command-line tools could become more user-friendly.

Ease of Deployment and Customer Service: Amazon Kinesis offers ease of deployment in public cloud environments but has room for improvement in technical support. Redpanda supports both on-premises and cloud deployment, though users find its documentation and support could be improved.

Pricing and ROI: Amazon Kinesis is moderately priced and offers good ROI through AWS integration, though analytics features can be costly. Its cost can be higher than self-hosted solutions. Redpanda offers competitive pricing and free versions, making it cost-effective against Kafka while considering its high performance.

To learn more, read our detailed Amazon Kinesis vs. Redpanda Report (Updated: June 2026).

Buyer's Guide

Amazon Kinesis vs. Redpanda

June 2026

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Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Amazon Kinesis

Ranking in Streaming Analytics

5th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Redpanda

Ranking in Streaming Analytics

14th

Average Rating

9.4

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of June 2026, in the Streaming Analytics category, the mindshare of Amazon Kinesis is 4.2%, down from 7.9% compared to the previous year. The mindshare of Redpanda is 2.0%, up from 1.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Amazon Kinesis	4.2%
Redpanda	2.0%
Other	93.8%

Streaming Analytics

Featured Reviews

reviewer1480695

Director of Software Development at a tech vendor with 10,001+ employees

Has enabled real-time processing of critical event streams with seamless cloud integration

We are contemplating moving away from Amazon Kinesis primarily because of the cost. It is very useful, but if we write our own analytics and data processing pipeline, it would be much cheaper for us. The cost is a primary hindrance. That's why we are not using it widely. For our critical pipeline we are using it, but after that we are putting it in an S3 bucket. Other pipelines directly put the events in an S3 bucket and then process from there. There is no lack of functions in Amazon Kinesis. Functionality-wise, we feel it's complete. The cost aspect is what we are really concerned about.

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ArpitShah

Software Analyst at CLSA

Event streaming has simplified video data cleanup and now powers real-time analytics

One area for improvement is providing more examples. For instance, Redpanda could be more useful as a sink where you get the data and can directly push to S3. While this is possible through the API, there are better and faster ways to do it. You can make a million API calls and accomplish the task in one and a half hours, but the same thing can be done in ten minutes through other methods. These faster approaches are not documented in obvious places. You have to find information scattered across various blogs. Redpanda should collect all the good blogs and best practices and put them in their documentation. This is more about knowledge management and making it easy for users to understand the product for complex use cases. For simple use cases, it is straightforward. We all use the basic pipe functionality. However, providing more examples would be useful. For example, integration with AWS and the AWS ecosystem would be cool.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"From my experience, one of the most valuable features is the ability to track silent events on endpoints. Previously, these events might have gone unnoticed, but now we can access them within the product range. For example, if a customer reports that their calls are not reaching the portal files, we can use this feature to troubleshoot and optimize the system."

"The scalability is pretty good."

"Great auto-scaling, auto-sharing, and auto-correction features."

"With AWS, you don't have to invest in any kind of infrastructure."

"Before Data Streams, we were using a couple of other solutions, including Talend and Pentaho, to move data around, and the ability to have one single flow of data from multiple consumers simplified our architecture a lot, saves us a lot of time, and will help us in the future when we have to build additional applications based on the same input data."

"What turns out to be most valuable is its integration with Lambda functions because you can process the data as it comes in. As soon as data comes, you'll fire a Lambda function to process a trench of data."

"The solution has the capacity to store the data anywhere from one day to a week and provides limitless storage for us."

"Compared to what we were doing with Kafka, which was taking about 30% just to keep things together, with Kinesis I think we're probably saving tens of thousands, if not $100,000 per year."

More Amazon Kinesis pros

"What makes Redpanda superior is its performance since it's written in C++, which is pretty much the standard for high-performance applications."

"The performance is superb, and the value we are getting for the money we pay is great."

"I would recommend Redpanda to others because it's easy to set up, consumes less resources, and is stable compared to other tools."

"I tested it with ten-plus nodes, and it's highly scalable."

"Redpanda is developer-friendly, and we need to do much less configuration because Redpanda provides out-of-the-box configuration for us."

"Aside from its lightweight design, Redpanda is essentially a clone of Kafka with all the good features of Kafka, with the only difference being that Kafka needs too many resources while Redpanda is a very good, lightweight, and very fast database."

"The cost savings have been significant."

"Redpanda was simple and fast, so we went with Redpanda and it just works."

Cons

"Kinesis Data Analytics needs to be improved somewhat. It's SQL based data but it is not as user friendly as MySQL or Athena tools."

"Kinesis can be expensive, especially when dealing with large volumes of data."

"The technical support could be improved. They tend to send you back to the documentation."

"In order to do a successful setup, the person handling the implementation needs to know the solution very well. You can't just come into it blind and with little to no experience."

"Amazon Kinesis involved a more complex setup and configuration than Azure Event Hub."

"The services which are described in the documentation could use some visual presentation because for someone who is new to the solution the documentation is not easy to follow or beginner friendly and can leave a person feeling helpless."

"The default limit that they have, which at the moment is 5,000 records per second seems too low."

"One area for improvement in the solution is the file size limitation of 10 Mb. My company works with files with a larger file size. The batch size and throughput also need improvement in Amazon Kinesis."

More Amazon Kinesis cons

"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."

"One area for improvement is providing more examples."

"I think Redpanda is overall very good for us, and I am uncertain whether Redpanda can scale to very large companies as we are a medium-sized startup."

"The command-line tools need to be improved. To quickly check the status of the topics and all."

"In Redpanda, the areas that have room for improvement are in the clustering part."

"When it comes to self-hosting, their documentation could be improved."

Pricing and Cost Advice

"The pricing depends on the use cases and the level of usage. If you wanted to use Kinesis for different use cases, there's definitely a cheaper base cost involved. However, it's not entirely cheap, as different use cases might require different levels of Kinesis usage."

"The tool's entry price is cheap. However, pricing increases with data volume."

"I think for us, with Amazon Kinesis, if we have to set up our own Kafka or cluster, it will be very time-consuming. If one considers the aforementioned aspect, Amazon Kinesis is a cheap tool."

"The fee is based on the number of hours the service is running."

"It was actually a fairly high volume we were spending. We were spending about 150 a month."

"I rate the product price a five on a scale of one to ten, where one is cheap, and ten is expensive."

"Under $1,000 per month."

"The product falls on a bit of an expensive side."

More Amazon Kinesis pricing and cost advice

"It's free. Everybody can use it, only support is paid."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Computer Software Company

12%

Manufacturing Company

Construction Company

Financial Services Firm

19%

Comms Service Provider

11%

Computer Software Company

Energy/Utilities Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	10
Large Enterprise	10

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	1
Large Enterprise	2

Questions from the Community

What is your experience regarding pricing and costs for Amazon Kinesis?

Amazon Kinesis and Lambda pricing is competitive, but we noticed that scaling and large volumes could potentially increase costs significantly.

See all answers

What needs improvement with Amazon Kinesis?

See all answers

What is your primary use case for Amazon Kinesis?

We use Amazon Kinesis for stream processing. We get events from on-premise devices to the cloud. We get many device events and we have to process these events that are coming from the devices. To p...

See all answers

What is your experience regarding pricing and costs for Redpanda?

In terms of pricing, Redpanda is free. We do not have to pay anything. It is not open source, but it is free.

See all answers

What needs improvement with Redpanda?

In Redpanda, the areas that have room for improvement are in the clustering part. Setting up clustering initially is very easy. However, if you are removing a node and attaching another node, signi...

See all answers

What is your primary use case for Redpanda?

Redpanda serves two primary purposes for our organization. First, we use it as a drop-in replacement for Kafka. Second, we utilize it for streaming analytics. We do not use Redpanda for IoT data st...

See all answers

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Compared 16% of the time

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Compared 14% of the time

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Compared 11% of the time

PubSub+ Platform vs Redpanda

Compared 10% of the time

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Compared 10% of the time

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Product Reports

Buyer's Guide

Amazon Kinesis

June 2026

Download Amazon Kinesis product report

Buyer's Guide

Redpanda

June 2026

Download Redpanda product report

Also Known As

Amazon AWS Kinesis, AWS Kinesis, Kinesis

No data available

Overview

Amazon Kinesis provides real-time data streaming with seamless AWS integration, ideal for analytics, data transformation, and external customer feeds. It offers cost-effective data management with high throughput and low latency, supporting multiple programming languages.

Amazon Kinesis enables organizations to manage real-time data streams efficiently. Its integration with AWS ensures seamless setup and operation, while features like auto-scaling and fault tolerance make it reliable for diverse data sources such as IoT devices and server logs. The platform's ability to handle large-scale event-driven systems and dynamic workloads makes it suitable for complex streaming architectures. Despite some challenges with costs and setup complexity, Kinesis remains a popular choice for its efficient data management and processing capabilities.

What are the key features of Amazon Kinesis?

Real-time Data Streaming: Enables live data processing and analytics.
Seamless AWS Integration: Ensures smooth operation with AWS services.
High Throughput: Consistent 2Mbps rate supports large volumes of data.
Auto-scaling: Automatically adjusts to data load.
Fault Tolerance: Maintains system reliability and data integrity.
Lambda Function Processing: Processes data efficiently using Lambda.

What benefits or ROI should users expect?

Scalable Data Management: Handles data influx effortlessly.
Efficiency: Streamlines data flows without impacting performance.
Cost-effectiveness: Delivers value for budget-conscious users.
Low Latency: Provides real-time insights and reactions.
Multi-language Support: Accommodates various development needs.

In industries such as IoT, finance, and entertainment, Amazon Kinesis facilitates the real-time ingestion and processing of data streams. It connects seamlessly to data lakes and warehouses, enabling businesses to harness data-driven insights without performance loss. This capability is essential for managing dynamic workloads and large-scale event systems. By supporting tools like KDS, Firehose, and Video Streams, Kinesis empowers organizations to respond quickly to changing data environments, enhancing operational effectiveness across different sectors.

Amazon Web Services (AWS)

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.

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.

Redpanda Data

Sample Customers

Zillow, Netflix, Sonos

Information Not Available

Buyer's Guide

Amazon Kinesis vs. Redpanda

June 2026

Free Report: Amazon Kinesis vs. Redpanda

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