- Accueil
- ...
- Traitement et distribution des mégadonnées
- Google Cloud Dataflow
- Spark Streaming
- Google Cloud Dataflow-vs-Spark Streaming
Comparer Google Cloud DataflowetSpark Streaming 
Google Cloud Dataflow vs Spark Streaming
Lors de l'évaluation des deux solutions, les examinateurs ont trouvé Spark Streaming plus facile à utiliser. Cependant, Google Cloud Dataflow est plus facile à mettre en place et à administrer. Les examinateurs ont également préféré faire affaire avec Google Cloud Dataflow dans l'ensemble.
- Les évaluateurs ont estimé que Google Cloud Dataflow répond mieux aux besoins de leur entreprise que Spark Streaming.
- En comparant la qualité du support produit continu, les évaluateurs ont estimé que Spark Streaming est l'option préférée.
- Pour les mises à jour des fonctionnalités et les feuilles de route, nos évaluateurs ont préféré la direction de Spark Streaming à 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
