Amazon Kinesis vs Apache Pulsar comparison

Amazon Web Services (AWS) and Pulsar are both solutions in the Streaming Analytics category. Amazon Web Services (AWS) is ranked #2 with an average rating of 7.9, while Pulsar is ranked #21. Amazon Web Services (AWS) holds a 5.4% mindshare in SA, compared to Pulsar’s 2.7% mindshare. Additionally, 90% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 100% of Pulsar users who would recommend it.

Amazon Kinesis

Read 29 Amazon Kinesis reviews

2,522 Views
2,522 Comparison Views

90% willing to recommend

Apache Pulsar

Read 1 Apache Pulsar review

766 Views
766 Comparison Views

100% willing to recommend

Amazon Kinesis

Apache Pulsar

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Amazon Kinesis and Apache Pulsar based on real PeerSpot user reviews.

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics.

To learn more, read our detailed Streaming Analytics Report (Updated: January 2026).

Buyer's Guide

Streaming Analytics

January 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

2nd

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

No ranking in other categories

Apache Pulsar

Ranking in Streaming Analytics

21st

Average Rating

8.0

Reviews Sentiment

6.2

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of February 2026, in the Streaming Analytics category, the mindshare of Amazon Kinesis is 5.4%, down from 9.0% compared to the previous year. The mindshare of Apache Pulsar is 2.7%, up from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Market Share Distribution
Product	Market Share (%)
Amazon Kinesis	5.4%
Apache Pulsar	2.7%
Other	91.9%

Streaming Analytics

Featured Reviews

Chandra Mohan Dhanasekaran

AWS Cloud Architect at a healthcare company with 10,001+ employees

Real-time streaming and seamless integration enhance workloads with room for competitive pricing improvements

Amazon Kinesis is easy to get started with, provides good documentation, and has a multilang daemon interface that makes it programming-language agnostic. The throughput is convenient for processing volumes out of the box and does not require complex configurations. It also provides auto-scaling with different partition keys into various shards. Lambda's scalability, seamless integration with other AWS services, and support for multiple programming languages are very beneficial.

Read full review

it_user1087029

Solution Architect at Vlaanderen connect.

The solution can mimic other APIs without changing a line of code

The solution operates as a classic message broker but also as a streaming platform. It operates differently than a traditional streaming platform with storage and computing handled separately. It scales easier and better than Kafka which can be stubborn. You can even make it act like Kafka because it understands Kafka APIs. There are even companies that will sell you Kafka but underneath it is Apache Pulsar. The solution is very compatible because it can mimic other APIs without changing a line of code.

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Quotes from Members

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

Pros

"The product's initial setup phase is not difficult because we are using the tool on the cloud."

"The most valuable feature of Amazon Kinesis is real-time data streaming."

"Kinesis is a fully managed program streaming application. You can manage any infrastructure. It is also scalable. Kinesis can handle any amount of data streaming and process data from hundreds, thousands of processes in every source with very low latency."

"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."

"Amazon Kinesis is easy to get started with, provides good documentation, and has a multilang daemon interface that makes it programming-language agnostic."

"Amazon Kinesis's main purpose is to provide near real-time data streaming at a consistent 2Mbps rate, which is really impressive."

"The most valuable feature is that it has a pretty robust way of capturing things."

"The feature that I've found most valuable is the replay. That is one of the most valuable in our business. We are business-to-business so replay was an important feature - being able to replay for 24 hours. That's an important feature."

More Amazon Kinesis pros

"The solution operates as a classic message broker but also as a streaming platform."

Cons

"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."

"One thing that would be nice would be a policy for increasing the number of Kinesis streams because that's the one thing that's constant. You can change it in real time, but somebody has to change it, or you have to set some kind of meter. So, auto-scaling of adding and removing streams would be nice."

"It would be beneficial if Amazon Kinesis provided document based support on the internet to be able to read the data from the Kinesis site."

"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."

"In general, the pain point for us was that once the data gets into Kinesis there is no way for us to understand what's happening because Kinesis divides everything into shards. So if we wanted to understand what's happening with a particular shard, whether it is published or not, we could not. Even with the logs, if we want to have some kind of logging it is in the shard."

"AI processing or cleaning up data would be nice since I don't think it is a feature in Amazon Kinesis right now."

"Snapshot from the the from the the stream of the data analytic I have already on the cloud, do a snapshot to not to make great or to get the data out size of the web service. But to stop the process and restart a few weeks later when I have more data or more available of the client teams."

"There could be valid data in Kinesis that is not being processed, which affects stability. Although it rarely happens, this issue has been observed in many deployments, making it not completely stable."

More Amazon Kinesis cons

"Documentation is poor because much of it is in Chinese with no English translation."

Pricing and Cost Advice

"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."

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

"The solution's pricing is fair."

"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."

"Under $1,000 per month."

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

"Amazon Kinesis pricing is sometimes reasonable and sometimes could be better, depending on the planning, so it's a five out of ten for me."

More Amazon Kinesis pricing and cost advice

Information not available

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Top Industries

By visitors reading reviews

Computer Software Company

17%

Financial Services Firm

14%

Manufacturing Company

Comms Service Provider

Financial Services Firm

18%

Insurance Company

Computer Software Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	8
Midsize Enterprise	10
Large Enterprise	9

No data available

Questions from the Community

What do you like most about Amazon Kinesis?

Amazon Kinesis's main purpose is to provide near real-time data streaming at a consistent 2Mbps rate, which is really impressive.

See all answers

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?

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 u...

See all answers

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Comparisons

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Compared 22% of the time

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Redpanda vs Amazon Kinesis

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Compared 23% of the time

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Compared 13% of the time

Apache Spark Streaming vs Apache Pulsar

Compared 13% of the time

Redpanda vs Apache Pulsar

Compared 12% of the time

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Product Reports

Buyer's Guide

Amazon Kinesis

February 2026

Download Amazon Kinesis product report

Buyer's Guide

Streaming Analytics

January 2026

Download Apache Pulsar product report

Also Known As

Amazon AWS Kinesis, AWS Kinesis, Kinesis

No data available

Overview

Amazon Kinesis makes it easy to collect, process, and analyze real-time, streaming data so you can get timely insights and react quickly to new information. Amazon Kinesis offers key capabilities to cost-effectively process streaming data at any scale, along with the flexibility to choose the tools that best suit the requirements of your application. With Amazon Kinesis, you can ingest real-time data such as video, audio, application logs, website clickstreams, and IoT telemetry data for machine learning, analytics, and other applications. Amazon Kinesis enables you to process and analyze data as it arrives and respond instantly instead of having to wait until all your data is collected before the processing can begin.

Amazon Web Services (AWS)

Apache Pulsar is a cloud-native, distributed messaging and streaming platform originally created at Yahoo! and now a top-level Apache Software Foundation project

Pulsar

Sample Customers

Zillow, Netflix, Sonos

Information Not Available

Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Apache and others in Streaming Analytics. Updated: January 2026.

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