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Apache Flink Reviews

Vendor: Apache
3.9 out of 5
Badge Leader

What is Apache Flink?

Featured Apache Flink reviews

Apache Flink mindshare

As of July 2025, the mindshare of Apache Flink in the Streaming Analytics category stands at 13.9%, up from 9.7% compared to the previous year, according to calculations based on PeerSpot user engagement data.
Streaming Analytics

PeerResearch reports based on Apache Flink reviews

TypeTitleDate
CategoryStreaming AnalyticsJul 25, 2025Download
ProductReviews, tips, and advice from real usersJul 25, 2025Download
ComparisonApache Flink vs DatabricksJul 25, 2025Download
ComparisonApache Flink vs Amazon KinesisJul 25, 2025Download
ComparisonApache Flink vs Azure Stream AnalyticsJul 25, 2025Download
Suggested products
TitleRatingMindshareRecommending
Databricks4.114.2%96%91 interviewsAdd to research
Confluent4.18.3%95%23 interviewsAdd to research
 
 
Key learnings from peers

Valuable Features

Room for Improvement

Pricing

Popular Use Cases

Service and Support

Deployment

Scalability

Stability

Review data by company size

By reviewers
By visitors reading reviews

Top industries

By visitors reading reviews
Financial Services Firm
23%
Computer Software Company
13%
Manufacturing Company
7%
Retailer
7%
Healthcare Company
5%
Energy/Utilities Company
4%
Educational Organization
4%
Comms Service Provider
3%
Insurance Company
3%
Recreational Facilities/Services Company
3%
Real Estate/Law Firm
2%
Construction Company
2%
Media Company
2%
Transportation Company
2%
Government
2%
University
2%
Wholesaler/Distributor
2%
Hospitality Company
2%
Logistics Company
1%
Legal Firm
1%
Outsourcing Company
1%
Consumer Goods Company
1%
Non Profit
1%
Performing Arts
1%
Pharma/Biotech Company
1%
Photography Company
1%
Marketing Services Firm
1%
Engineering Company
1%
Recruiting/Hr Firm
1%

Learn more about Apache Flink

Apache Flink customers

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Apache Flink reviews

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Aswini Atibudhi - PeerSpot user
Distinguished AI Leader at Walmart Global Tech at Walmart
Verified user of Apache Flink
May 8, 2025
Enables robust real-time data processing but documentation needs refinement

Pros

"What I appreciate best about Apache Flink is that it's open source and geared towards a distributed stream processing framework."

Cons

"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."
PM
Technical Lead at a computer software company with 10,001+ employees
Verified user of Apache Flink
Apr 25, 2025
Transforms real-time data for insurance projects efficiently

Pros

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

Cons

"Apache should provide more examples and sample code related to streaming to help me better adapt and utilize the tool."
Find out what your peers are saying about Apache Flink. Updated July 2025
863,564 professionals have used our research since 2012.
Madhan Potluri - PeerSpot user
Head of Data at a energy/utilities company with 51-200 employees
Verified user of Apache Flink
Dec 15, 2023
While providing powerful stream and batch processing capabilities, it needs improvement in command automation and stability

Pros

"It provides us the flexibility to deploy it on any cluster without being constrained by cloud-based limitations."

Cons

"There is room for improvement in the initial setup process."
PrashantVaghela - PeerSpot user
Principal Engineer at InnovAccer Inc.
Verified user of Apache Flink
Nov 28, 2023
Offers stateful transformations and complete offset management between transformations

Pros

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

Cons

"PyFlink is not as fully featured as Python itself, so there are some limitations to what you can do with it."
Ilya Afanasyev - PeerSpot user
Senior Software Development Engineer at Yahoo!
Verified user of Apache Flink
Aug 31, 2022
A great solution with an intricate system and allows for batch data processing

Pros

"Allows us to process batch data, stream to real-time and build pipelines."

Cons

"The solution could be more user-friendly. "
Armando Becerril - PeerSpot user
Partner / Head of Data & Analytics at Intelligence Software Consulting
Verified user of Apache Flink
Jun 11, 2024
Handle smillions of events per second and offers powerful configuration

Pros

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

Cons

"There are more libraries that are missing and also maybe more capabilities for machine learning. "
Sunil  Morya - PeerSpot user
Consultant at a tech vendor with 10,001+ employees
Verified user of Apache Flink
Dec 9, 2022
Easy to deploy and manage; lacking simple integration with Amazon products

Pros

"Easy to deploy and manage. "

Cons

"Amazon's CloudFormation templates don't allow for direct deployment in the private subnet. "
RA
Sr. Software Engineer at a tech services company with 10,001+ employees
Verified user of Apache Flink
Oct 22, 2020
Scalable framework for stateful streaming aggregations

Pros

"Another feature is how Flink handles its radiuses. It has something called the checkpointing concept. You're dealing with billions and billions of requests, so your system is going to fail in large storage systems. Flink handles this by using the concept of checkpointing and savepointing, where they write the aggregated state into some separate storage. So in case of failure, you can basically recall from that state and come back."

Cons

"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."