Apache Beam Reviews & Product Details

Beam is awesome. Both Batch and Stream processing handled via the same semantics/code. Just switch out your IOs, ex: database or files for batch, or a message queue for streaming use cases Review collected by and hosted on G2.com.

People sometimes have trouble learning. I wish it was easier for people Review collected by and hosted on G2.com.

Liked the way Beam provides abstraction for the complex distributed paradigm using pCollection and Transforms etc.

Also its unified approach to deal with both Batch and Stream processing is unique and efficient. Review collected by and hosted on G2.com.

At the time of doing development , i found doing Join operation was not that simple and we had to use coGroupByKey for that which was a bit confusing for us. May be providing abstraction as simple join operation would help the users community. May be the developer community might have already provided that option but it was not there when we were doing our use case. Review collected by and hosted on G2.com.

I have used Apache Beam to design my pipeline on Google cloud platform. My experience was seamless. I have designed for both batch and streaming data. Review collected by and hosted on G2.com.

Lack of available courses on apache beam which can help newbies to learn Beam Review collected by and hosted on G2.com.

In terms of capabilities and generality, I think Apache Beam is currently the most advanced and most flexible framework for designing and implementing modern data-intensive applications. Perfectly able to specify both batch and streaming computations, plus in terms of streaming capabilities, it offers really a lot! It takes some time to get comfortable with the APIs, but after that is goes pretty smoothly. Finally the support for various execution engine thanks to the "runner" abstraction makes it a great choice when portability across different platforms either on premise or in the Cloud becomes a factor. Definitely recommended. Review collected by and hosted on G2.com.

Currently the APIs are not exactly super friendly. Review collected by and hosted on G2.com.

Frequently update and supports multiple language Review collected by and hosted on G2.com.

More tedious in debugging the application code. Also, not very informative error logs. Review collected by and hosted on G2.com.

What I most like about Apache Beam is the ease of use when defining pipelines for ETL in both Batch and Streamline Processing. Being open-source software, Beam is one of the most powerful tools out there. Review collected by and hosted on G2.com.

It is a bit slower than Apache Flink as Beam is mainly classified in Graph Database tools while Flink is classified into Big Data Tools. Also, it doesn't provide any UI to monitor the job status while Flink does. Works pretty good for Small ETL Tasks in GCP rather than large tasks which involve a lot of streams processing. Flink is better if your use case has to deal with lot of streams at a time. Review collected by and hosted on G2.com.

With Apache beam, data processing pipelines are made really easy. We've been using this over the past 3 months and found it really successful especially for the ETL process of data we produce. Review collected by and hosted on G2.com.

It is good for smaller processes, but not advisable for large streamline processes. Review collected by and hosted on G2.com.

It's an open-source workflow engine that lets you code your logic of data processing workflow. It allows you to process your data based on batch and streams. Review collected by and hosted on G2.com.

You should learn the basic function of your workflow using Java. So, it takes time (depends on your learning curve) Review collected by and hosted on G2.com.

Apache beam have good feature "Pardo" and "dofn" which is help to write customized code and make powerful parallel operation. Review collected by and hosted on G2.com.

Apache beam have only Jdbc connectivity and after the write operation again you can not open new pcollection . Review collected by and hosted on G2.com.

Freedom to choose your own runtimes. This gives immense flexibility to devs Review collected by and hosted on G2.com.

deployment and production instructions and case studies should be improved Review collected by and hosted on G2.com.