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 offers valuable integration with flexible programming in languages like Python. It is user-friendly, cost-effective with a pay-as-you-go model, and excels in scalability for data pipelines. Local testing is facilitated through Direct Runner. However, it requires better error logging, cost optimization, enhanced authentication, and reduced deployment time. Its integration with Kafka topics enhances ease of use, though debugging can be inefficient due to insufficient logs.
