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- Sistemas de Processamento e Distribuição de Big Data
- Google Cloud Dataflow
- Spark Streaming
- Google Cloud Dataflow-vs-Spark Streaming
Comparar Google Cloud Dataflow e Spark Streaming 
Google Cloud Dataflow vs Spark Streaming
Ao avaliar as duas soluções, os avaliadores consideraram Spark Streaming mais fácil de usar. No entanto, Google Cloud Dataflow é mais fácil de configurar e administrar. Os avaliadores também preferiram fazer negócios com Google Cloud Dataflow no geral.
- Os revisores sentiram que Google Cloud Dataflow atende melhor às necessidades de seus negócios do que Spark Streaming.
- Ao comparar a qualidade do suporte contínuo do produto, os revisores sentiram que Spark Streaming é a opção preferida.
- Para atualizações de recursos e roadmaps, nossos revisores preferiram a direção do Spark Streaming em relação ao Google Cloud Dataflow.
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
Nothing yet i found that i dislike about this platform.
APIs of Spark is very powerful for data pre processing. SQL interface is very user friendly Faster compared to any other big data tool
I like everything I’ve seen with spark so far. Can be complicated to get started using
There are users that require immense computing power to create. Google Cloud Platform can provide that without taxing valuable resources. With this, companies can offer the best graphics, images, and videos to their clients and to their audiences without...
APIs of Spark is very powerful for data pre processing. SQL interface is very user friendly Faster compared to any other big data tool
Nothing yet i found that i dislike about this platform.
I like everything I’ve seen with spark so far. Can be complicated to get started using
