Google Cloud Dataproc
Free Plan • Best for: Ideal for businesses requiring advanced analytics capabilities and those who want a fully managed solution without the complexity of setting up and managing their own infrastructure.
description Google Cloud Dataproc Overview
Google Cloud Dataproc is a fully managed, cloud-based service for running Apache Hadoop and Spark workloads. It's ideal for businesses needing advanced analytics capabilities, but can be complex to set up.
info Google Cloud Dataproc Specifications
| Api | REST API, SDKs for Java, Python, Scala, R, Go, Node.js, Ruby |
| Platform | Cloud-based |
| Languages | Java, Python, Scala, R |
| Integration | GCP, Hadoop, Spark |
balance Google Cloud Dataproc Pros & Cons
- Fully managed service
- Supports Apache Hadoop and Spark
- Scalable and flexible
- Integrated with other Google Cloud services
- Complex setup for beginners
- Cost can be high for small-scale projects
- Limited local disk options
- Dependent on Google's service availability
help Google Cloud Dataproc FAQ
What are the supported versions of Apache Hadoop and Spark?
Google Cloud Dataproc supports the latest stable versions of Apache Hadoop and Spark.
Can I use my own images for Dataproc clusters?
Yes, you can provide custom images to create your Dataproc clusters with specific configurations.
Is there a free tier available for Google Cloud Dataproc?
Google Cloud offers a free tier that includes limited usage of Dataproc and other services.
explore Explore More
Similar to Google Cloud Dataproc
See all arrow_forward
Reviews & Comments
Write a Review
Be the first to review
Share your thoughts with the community and help others make better decisions.
