It allows me to test solutions locally using runners like Direct Runner without having to start a Dataflow job, which can be costly.
Google Cloud Dataflow integrates well with Google Cloud Platform, offering scalability ideal for streaming and data pipelines. It supports any programming language, improving flexibility for users. The pay-as-you-go model is cost-effective, supported by a reliable team. However, improvements are needed in Kafka integration, error logging, authentication, cost optimization, and schema design in NoSQL storage for enhanced scalability.
