We utilize IoT devices to gather data for our clients. This data is analyzed to produce reports and insights, and we leverage machine learning and artificial intelligence models.
CTO at ReNew
Helps us to create both simple and complex data processing tasks
Pros and Cons
- "The product helps us to create both simple and complex data processing tasks. Over time, it has facilitated integration and navigation across multiple data sources tailored to each client's needs. We use Apache Flink to control our clients' installations."
- "Apache Flink should improve its data capability and data migration."
What is our primary use case?
What is most valuable?
The product helps us to create both simple and complex data processing tasks. Over time, it has facilitated integration and navigation across multiple data sources tailored to each client's needs. We use Apache Flink to control our clients' installations.
What needs improvement?
Apache Flink should improve its data capability and data migration.
For how long have I used the solution?
I have been using the product for five years.
Buyer's Guide
Apache Flink
May 2025

Learn what your peers think about Apache Flink. Get advice and tips from experienced pros sharing their opinions. Updated: May 2025.
851,471 professionals have used our research since 2012.
What do I think about the stability of the solution?
The solution is stable.
What do I think about the scalability of the solution?
Apache Flink is scalable.
How was the initial setup?
The product's deployment can be completed in minutes, and we have a special team. It is straightforward. We initiate our requirements within our secure software and utilize Jenkins and our pipelines to carry out the deployment process, whether for expanding services on the cloud or on-premise servers.
What about the implementation team?
Apache Flink can be deployed in-house.
What other advice do I have?
I rate the product an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.

Manager at ANET
Easy to use, stable, scalable, and has good community support with a lot of documentation
Pros and Cons
- "It is user-friendly and the reporting is good."
- "There is a learning curve. It takes time to learn."
What is our primary use case?
We use Apache Flink in-house to develop the Tectonic platform.
What is most valuable?
It's usable and affordable.
It is user-friendly and the reporting is good.
What needs improvement?
There is a learning curve. It takes time to learn.
The initial setup is complex, it could be simplified.
For how long have I used the solution?
I have been using Apache Flink for more than one year.
I am using the latest version.
What do I think about the stability of the solution?
Apache Flink is a scalable product. We have no issues with the stability.
What do I think about the scalability of the solution?
It's a very scalable solution. We have more than 100 people in our organization who are using it.
How are customer service and support?
We use community resources. There is a lot of documentation available online.
How was the initial setup?
The initial setup is complex.
What's my experience with pricing, setup cost, and licensing?
It's an open-source solution.
Which other solutions did I evaluate?
We have not evaluated competitors. We followed the trends and based on the experience and opinions of people from all over the world, we selected Apache Flink.
What other advice do I have?
I would recommend Apache Flink to others who are interested in using it.
I would rate this solution an eight out of ten.
Which deployment model are you using for this solution?
On-premises
Disclosure: I am a real user, and this review is based on my own experience and opinions.

Buyer's Guide
Download our free Apache Flink Report and get advice and tips from experienced pros
sharing their opinions.
Updated: May 2025
Product Categories
Streaming AnalyticsPopular Comparisons
Databricks
Confluent
Azure Stream Analytics
Amazon Kinesis
Amazon MSK
Google Cloud Dataflow
Spring Cloud Data Flow
PubSub+ Platform
Coralogix
Starburst Enterprise
Apache Spark Streaming
Informatica Data Engineering Streaming
Apache Pulsar
IBM Streams
Striim
Buyer's Guide
Download our free Apache Flink Report and get advice and tips from experienced pros
sharing their opinions.
Quick Links
Learn More: Questions:
- How do you select the right cloud ETL tool?
- What is the best streaming analytics tool?
- What are the benefits of streaming analytics tools?
- What features do you look for in a streaming analytics tool?
- When evaluating Streaming Analytics, what aspect do you think is the most important to look for?
- Why is Streaming Analytics important for companies?