fast implementation of all methods to try change data Review collected by and hosted on G2.com.
Difficult to use and ehat exactly you need to do Review collected by and hosted on G2.com.
The SDKs are good and easy to use. It's amazing how fast you get something up and running. Review collected by and hosted on G2.com.
Not yet support for python3 and still there are some benefits to using JAVA and not really a fan of JAVA Review collected by and hosted on G2.com.
How it makes it easier for us to implement the entire dataflow pipeline. We are using it from Streaming and Batch Dataflow services and it has been very reliable and easy to develop. There are enough examples and documentation to get you going. Works really well with ingestion into BQ on GCP. Review collected by and hosted on G2.com.
Some edge use-cases are hard to implement and some of the instances we required for the data pipeline were not yet supported. Review collected by and hosted on G2.com.
distributed stream processing as data flows in. Review collected by and hosted on G2.com.
It's bit complicated to setup and autoscaling is bit clunky Review collected by and hosted on G2.com.
It’s vision of helping make my apps better by providing a sdk. It’s very simple to implement. Review collected by and hosted on G2.com.
I wish it offered more tools to use, because I really do like the platform. Review collected by and hosted on G2.com.
Supported by Google. It is a solution that has everything; many systems can handle both batch and streaming, but they often do so via separate APIs. Beam focuses on capturing properties of your data and your logic, instead of letting details. The project uses the correct programming model for streaming and batch data processing. Review collected by and hosted on G2.com.
Capabilities will not always be exactly the same across different Beam runners at a given point in time. Review collected by and hosted on G2.com.
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