Amazon MSK vs Apache Flink comparison

Amazon Web Services (AWS) and Apache are both solutions in the Streaming Analytics category. Amazon Web Services (AWS) is ranked #7 with an average rating of 7.4, while Apache is ranked #3 with an average rating of 8.0. Amazon Web Services (AWS) holds a 4.3% mindshare in SA, compared to Apache’s 8.9% mindshare. Additionally, 93% of Amazon Web Services (AWS) users are willing to recommend the solution, compared to 95% of Apache users who would recommend it.

Amazon MSK

Read 14 Amazon MSK reviews

2,390 Views
2,342 Comparison Views

93% willing to recommend

Apache Flink

Read 19 Apache Flink reviews

4,343 Views
4,343 Comparison Views

95% willing to recommend

Amazon MSK

Apache Flink

Comparison Buyer's Guide

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Executive SummaryUpdated on Dec 17, 2024

Apache Flink and Amazon MSK are competing products in the data streaming and processing category. Apache Flink holds an advantage due to its powerful real-time processing capabilities, while Amazon MSK is favored for its seamless integration with AWS services.

Features: Apache Flink offers real-time data processing, low latency applications, and flexible stateful transformations. Its native capability to handle both batch and streaming data without distinction provides a sophisticated solution for complex data workflows. Amazon MSK integrates well with the existing AWS environment, simplifying Kafka-compatible cluster management, and offering robust managed services. Its features focus on effortless AWS integration and a user-friendly message consumption process.

Room for Improvement: Apache Flink could enhance user documentation and ease of deployment to reduce initial setup complexity. It faces challenges in memory management and scalability under certain high-demand scenarios. Its learning curve for new users requires attention. Amazon MSK could improve by offering more competitive cost structures for smaller workloads, enhancing auto-scaling capabilities, and providing more extensive integration with non-AWS platforms. Additionally, reducing dependency on AWS for feature deployment would increase flexibility.

Ease of Deployment and Customer Service: Amazon MSK benefits from AWS's well-established deployment processes and customer service, making it straightforward for businesses familiar with AWS. It provides seamless guidance that reduces deployment time. Apache Flink requires more technical expertise for deployment, which can lead to longer initial setup times. While flexible in deployment, it demands a greater focus on configuration and provisioning of infrastructure compared to MSK.

Pricing and ROI: Apache Flink's open-source model allows for lower initial costs but may involve increased operational expenses over time. It offers cost-efficiency for businesses able to handle DIY implementations. Amazon MSK presents predictable pricing typical of AWS services, providing a quicker ROI due to its managed services and integration benefits. The solution’s cost-effectiveness is a significant advantage for businesses leveraging a comprehensive AWS infrastructure.

To learn more, read our detailed Amazon MSK vs. Apache Flink Report (Updated: April 2026).

Buyer's Guide

Amazon MSK vs. Apache Flink

April 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 MSK

Ranking in Streaming Analytics

7th

Average Rating

7.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

No ranking in other categories

Apache Flink

Ranking in Streaming Analytics

3rd

Average Rating

7.8

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of May 2026, in the Streaming Analytics category, the mindshare of Amazon MSK is 4.3%, down from 7.3% compared to the previous year. The mindshare of Apache Flink is 8.9%, down from 13.7% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Streaming Analytics Mindshare Distribution
Product	Mindshare (%)
Apache Flink	8.9%
Amazon MSK	4.3%
Other	86.8%

Streaming Analytics

Featured Reviews

SYED SHAAZ

Co-Founder & CTO at Photios AI

Improved data streaming and integration challenges prompt search for alternatives

The integration capabilities of Amazon MSK are not very flexible. If you have your own self-managed Kafka, that helps significantly because you can set up configurations. We are considering self-managed Kafka since our product is only one year old. The Kafka integrations are fine, but the configurations are an issue. The only issue with Amazon MSK that we are facing is the configurations. There are preset configurations and limited configurations that we can set for our unique use case. The product could improve by allowing us to set different configurations. I would also like to see Amazon MSK improve in the area of connectors. We are considering Confluent Cloud because they have many more connectors. They have KSQL DB and governance features. It is slightly costlier, but Confluent offers more flexibility with their connectors.

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Aswini Atibudhi

Distinguished AI Leader at Walmart Global Tech at Walmart

Enables robust real-time data processing but documentation needs refinement

Apache Flink is very powerful, but it can be challenging for beginners because it requires prior experience with similar tools and technologies, such as Kafka and batch processing. It's essential to have a clear foundation; hence, it can be tough for beginners. However, once they grasp the concepts and have examples or references, it becomes easier. Intermediate users who are integrating with Kafka or other sources may find it smoother. After setting up and understanding the concepts, it becomes quite stable and scalable, allowing for customization of jobs. Every software, including Apache Flink, has room for improvement as it evolves. One key area for enhancement is user-friendliness and the developer experience; improving documentation and API specifications is essential, as they can currently be verbose and complex. Debugging and local testing pose challenges for newcomers, particularly when learning about concepts such as time semantics and state handling. Although the APIs exist, they aren't intuitive enough. We also need to simplify operational procedures, such as developing tools and tuning Flink clusters, as these processes can be quite complex. Additionally, implementing one-click rollback for failures and improving state management during dynamic scaling while retaining the last states is vital, as the current large states pose scaling challenges.

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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 scalability and usability are quite remarkable."

"Amazon MSK has contributed positively to our real-time analytics capabilities because Fortis's dashboards have dashboard health that needs to be maintained, user logs that need to be maintained, and usage tracking."

"The solution's technical support was helpful."

"It provides installations, scaling, and other functionalities straight out of the box."

"What I appreciate most about Amazon MSK is that it doesn't require extensive concern about the configurations; it starts checking how the brokers are functioning, and automatically, Amazon MSK tries to resolve all the problems."

"It is a stable product."

"Overall, it is very cost-effective based on the workflow."

"Amazon MSK has significantly improved our organization by building seamless integration between systems."

More Amazon MSK pros

"The end-to-end latency was drastically reduced, and our capability of handling high throughput has increased by using Flink."

"Apache Flink allows you to reduce latency and process data in real-time, making it ideal for such scenarios."

"With Flink, it provides out-of-the-box checkpointing and state management, guaranteed message processing, and it also helped us with application maintenance, deployments, and restarts."

"Apache Flink's best feature is its data streaming tool."

"Apache Flink offers a range of powerful configurations and experiences for development teams. Its strength lies in its development experience and capabilities."

"Among all of this, if I would talk about streaming, Apache Flink wins hands down, but there are other products like Apache Pulsar which I have no idea."

"The ease of usage, even for complex tasks, stands out."

"This is truly a real-time solution."

More Apache Flink pros

Cons

"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."

"MSK should be easier to integrate with other solutions. It should be more flexible, integration-wise."

"The product's schema support needs enhancement. It will help enhance integration with many kinds of languages of programming languages, especially for environments using languages like .NET."

"It should be more flexible, integration-wise."

"Amazon MSK could improve on the features they offer. They are still lagging behind Confluence."

"The only issue with Amazon MSK that we are facing is the configurations. There are preset configurations and limited configurations that we can set for our unique use case."

"One of the reasons why we prefer Kafka is because the support is a little bit difficult to manage with Amazon MSK."

"The configuration seems a little complex and the documentation on the product is not available."

More Amazon MSK cons

"Apache should provide more examples and sample code related to streaming to help me better adapt and utilize the tool."

"The state maintains checkpoints and they use RocksDB or S3; they are good but sometimes the performance is affected when you use RocksDB for checkpointing."

"In terms of stability with Flink, it is something that you have to deal with every time. Stability is the number one problem that we have seen with Flink, and it really depends on the kind of problem that you're trying to solve."

"There is a learning curve. It takes time to learn."

"The solution could be more user-friendly."

"Amazon's CloudFormation templates don't allow for direct deployment in the private subnet."

"In a future release, they could improve on making the error descriptions more clear."

"In terms of improvement, there should be better reporting. You can integrate with reporting solutions but Flink doesn't offer it themselves."

More Apache Flink cons

Pricing and Cost Advice

"The platform has better pricing than one of its competitors."

"The price of Amazon MSK is less than some competitor solutions, such as Confluence."

"When you create a complete enterprise-driven architecture that is deployable on an enterprise scale, I would say that the prices of Amazon MSK and Confluent Platform become comparable."

"This is an open-source platform that can be used free of charge."

"The solution is open-source, which is free."

"Apache Flink is open source so we pay no licensing for the use of the software."

"It's an open-source solution."

"It's an open source."

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Top Industries

By visitors reading reviews

Financial Services Firm

20%

Computer Software Company

12%

Manufacturing Company

Comms Service Provider

Financial Services Firm

18%

Retailer

12%

Computer Software Company

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	4
Midsize Enterprise	7
Large Enterprise	4

By reviewers
Company Size	Count
Small Business	5
Midsize Enterprise	3
Large Enterprise	12

Questions from the Community

What needs improvement with Amazon MSK?

See all answers

What is your primary use case for Amazon MSK?

We are recently working with Amazon MSK at Fortis, where we have multiple dashboards in our revenue intelligence platform. We are streaming data from different apps into those dashboards. The data ...

See all answers

What advice do you have for others considering Amazon MSK?

We are working with Amazon MSK product, Managed Streaming for Apache Kafka. The main benefits I have seen from using Amazon MSK is that as a B2B enterprise client, we have many SLAs to fulfill. Tra...

See all answers

What is your experience regarding pricing and costs for Apache Flink?

The solution is expensive. I rate the product’s pricing a nine out of ten, where one is cheap and ten is expensive.

See all answers

What needs improvement with Apache Flink?

Apache could improve Apache Flink by providing more functionality, as they need to fully support data integration. The connectors are still very few for Apache Flink. There is a lack of functionali...

See all answers

What is your primary use case for Apache Flink?

I am working with Apache Flink, which is the tool we use for data integration. Apache Flink is for data, and we are working on the data integration project, not big data, using Apache Flink and Apa...

See all answers

Comparisons

Azure Stream Analytics vs Amazon MSK

Compared 17% of the time

Confluent vs Amazon MSK

Compared 11% of the time

Aiven Platform vs Amazon MSK

Compared 10% of the time

Amazon Kinesis vs Amazon MSK

Compared 9% of the time

Oracle Stream Analytics vs Amazon MSK

Compared 6% of the time

More Amazon MSK Competitors

Spring Cloud Data Flow vs Apache Flink

Compared 10% of the time

Azure Stream Analytics vs Apache Flink

Compared 9% of the time

Confluent vs Apache Flink

Compared 8% of the time

Amazon Kinesis vs Apache Flink

Compared 8% of the time

WSO2 Stream Processor vs Apache Flink

Compared 4% of the time

More Apache Flink Competitors

Product Reports

Buyer's Guide

Amazon MSK

May 2026

Download Amazon MSK product report

Buyer's Guide

Apache Flink

May 2026

Download Apache Flink product report

Also Known As

Amazon Managed Streaming for Apache Kafka

Flink

Overview

Amazon MSK offers seamless AWS integration, simplifying development and operation. It supports efficient data streaming and ensures cost-effective scalability without additional setup needs.

Amazon MSK stands out for its effortless creation, deployment, and access to new features without complex VPC configurations. Automating scalability, it demands minimal intervention, making it ideal for high-volume workflows. Developers benefit from real-time analytics, event sourcing, and log ingestion, aiding in dashboard maintenance and user log tracking. However, integration challenges exist as some face inflexibility, intricate configurations, and plugin development difficulties. Schema validation, connector variety, and complex update processes lead some to seek alternatives. Noteworthy for order data streaming, transaction tracking in retail and banking, and other real-time data applications, Amazon MSK remains attractive despite high cost concerns.

What are Amazon MSK's key features?

Seamless AWS Integration: No additional setup or VPC needed.
Automatic Scalability: Minimal intervention thanks to automatic configurations.
Real-time Analytics: Supports event sourcing and log ingestion.
Cost-effective: Tailored for high-volume workflows.
Encryption: Secure data during migrations.

What benefits should users consider when evaluating Amazon MSK?

Efficiency: Effortless deployment and development support.
Scalability: Automated processes reduce operational overhead.
Cost Management: Financially viable for larger data volumes.
Security: High level of encryption during data transfers.
Data Handling: Effective for streaming, integration, and real-time processing.

In retail and banking, Amazon MSK facilitates order data streaming and transaction tracking. Its capabilities in supporting CDC pipelines, high-volume data management, and asynchronous processes make it favorable for integrating systems, streaming IoT data, and managing dashboard flows. Challenges in integration and configuration persist, nudging users to explore different options in certain contexts.

Amazon Web Services (AWS)

Apache Flink is a powerful open-source framework for stateful computations over data streams, designed for both real-time and batch processing. It efficiently handles massive volumes of data with low-latency responses, offering versatility for complex event processing scenarios.

Apache Flink excels in processing high-throughput data streams, enabling seamless state management across distributed applications. Users appreciate its robust features like stateful transformations and checkpointing, simplifying deployment in diverse environments. Though powerful, it poses challenges for beginners due to its complexity and limited documentation, requiring some prior experience to master. Its flexible integration with systems like Kafka and support for Kubernetes on AWS makes it suitable for demanding environments where quick, real-time analysis is essential.

What are the key features of Apache Flink?

Stateful Transformations: Allows complex stateful operations on data streams with precise handling.
Low Latency: Ensures real-time data processing with minimal delays.
Checkpointing: Provides efficient and reliable checkpointing for fault tolerance.
Kafka Integration: Easy integration with Kafka for seamless data ingestion and processing.
API Support: Provides robust APIs for diverse data processing needs.
Flexible Deployment: Offers options for deploying on-premise or in cloud environments.

What benefits should users look for?

Versatility: Supports both batch and stream processing in a unified model.
Community Support: Backed by an active community that continuously enhances its features.
Ease of Use: Simplifies the coding process compared to similar frameworks like Apache Storm.
Real-Time Analytics: Facilitates immediate insights and data-driven decision-making.

Organizations leverage Apache Flink primarily for real-time data processing in sectors such as retail, transportation, and telecommunications. By deploying on AWS with Kubernetes, companies can utilize it for data cleaning, generating customer insights, and providing swift real-time updates. It effectively manages millions of events per second, serving use cases like cab aggregations, map-making, and outlier detection in telecom networks, enabling seamless integration of streaming data with existing pipelines.

Apache

Sample Customers

Expedia, Intuit, Royal Dutch Shell, Brooks Brothers

LogRhythm, Inc., Inter-American Development Bank, Scientific Technologies Corporation, LotLinx, Inc., Benevity, Inc.

Buyer's Guide

Amazon MSK vs. Apache Flink

April 2026

Free Report: Amazon MSK vs. Apache Flink

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