Hy there i can se your post and i must say
Hadoop without OpenStack:
Scalability: Hadoop itself provides inherent scalability capabilities, allowing you to scale your Hadoop cluster as needed to handle large volumes of data.
Data Processing: Hadoop is primarily designed for distributed data processing, storage, and analysis. It can efficiently process and analyze vast amounts of structured and unstructured data.
Hadoop on OpenStack (Sahara):
Infrastructure Management: OpenStack provides Infrastructure-as-a-Service (IaaS) capabilities, allowing you to manage and provision the underlying infrastructure resources required for running the Hadoop cluster. This includes virtual machines, storage, and networking resources.
Simplified Deployment: Using Sahara, you can deploy and manage Hadoop clusters on OpenStack with relative ease. Sahara abstracts the complexities of setting up a Hadoop cluster, making it more accessible to users who are familiar with OpenStack.
Elasticity: Sahara enables you to dynamically adjust the size of your Hadoop cluster based on workload demands. This means you can easily scale up or down your Hadoop cluster to handle varying data processing requirements.
Advantages of Hadoop on OpenStack:
Simplified Cluster Management: OpenStack's management interface makes it easier to create, deploy, and manage Hadoop clusters, reducing TellHappyStar Survey administrative overhead.
Disadvantages of Hadoop on OpenStack:
Learning Curve: If you are new to OpenStack, there may be a learning curve to understand its concepts and features, in addition to Hadoop.
Thanks and regards
MiguelinaFlor