Apache Flink Reviews & Product Details

First of all it is easy to setup in kubernetes using flink operator and it simply integrates to kubenetes as a native api supports high availability out of the box with kubernetes. community developed flink to process continuous stream of data at lightning fast Review collected by and hosted on G2.com.

As a user I dont find any difficulties or challenge and community does release softeware very oftem thus improvess the stability Review collected by and hosted on G2.com.

I really like the table APIs provided by Apache Flink. It is very easy to do simple transformations on top of a Kafka table via Flink SQL query. Apart from that, the community is present on Slack in case of user issues.

It provides multiple ways to deploy Flink on cloud like K8s, standalone modes etc.

Also metrics that are internally provides by flink help us a lot in debugging Review collected by and hosted on G2.com.

Advanced Datastream API like a broadcast stream, and process functions are not documented properly, more examples of datastream API should be present in doc Review collected by and hosted on G2.com.

it is open-source, user friendly and easy to install and configure, its checkpoint feature Review collected by and hosted on G2.com.

yet i didn't found anything that i dislike in flink Review collected by and hosted on G2.com.

The feature of Stateful Computations over Data Streams Review collected by and hosted on G2.com.

It is primarily focused on streaming use cases. Review collected by and hosted on G2.com.

It supports both stateful and stateless computations on streams

Supports both batch mode and real-time analytics

Has proven to be high performing, less memory-hungry compared to the storm

It has capability to do windowing, machine learning integration etc.,

It is highly scalable

It also has capability to process event may be do aggregation or windowing based on event occurrence time than the processing time

Has Exactly-once state consistency

Also supports handling late data through some threshold window

Can do in memory SQL on streams

Flink UI is very user friendly Review collected by and hosted on G2.com.

There is not much to dislike. It has capabilities of both storm and spark. If you know storm and spark it's easy to use Review collected by and hosted on G2.com.

Apache Flink is the only true open source streaming engine available, exactly-once delivery, real-time persistent snapshots. Review collected by and hosted on G2.com.

fewer production deployments than other frameworks like a spark. but as my understanding, it's way better than a spark. Review collected by and hosted on G2.com.

The framework is very easy to learn. It is very similar to the apache spark framework, so projects can be migrated pretty easily and the learning curve is not much. Pretty fast compared to other real-time frameworks. Comes with a lot of inbuilt connectors with third-party messaging queues and database. Review collected by and hosted on G2.com.

I don't have anything in particular to dislike but it is very similar to another real-time framework like Apache Spark. So, I think there should be some unique features added to it, in order to make it favorite framework among all. Review collected by and hosted on G2.com.

The API is intuitive and flexible enough for all use cases we had. The support from dataArtisans and the mailing list they monitor makes using the platform much safer in an enterprise setting - we would have been lost without their support, often within the same day. Resources can be found on their Community page at https://flink.apache.org/community.html. We also love the blog posts put out by dataArtisans of real case studies. Review collected by and hosted on G2.com.

Deploying was easy enough for the basic case, but understanding the Hadoop / YARN ecosystem in conjunction with Flink, and creating a stable + scalable cluster, has been challenging. This is not so much a fault of Flink, but they are working to make it easier to deploy across a variety of platforms. Review collected by and hosted on G2.com.

User Friendly and gives great amount of format and supported features Review collected by and hosted on G2.com.

Less community and forums for discussion Review collected by and hosted on G2.com.

Pretty simple and straightforward interface. Can be a learning curve of need be but if you just need to implement for standard construction then it works well. Review collected by and hosted on G2.com.

Not too much customer support or help finding tutorials. Review collected by and hosted on G2.com.