What is the difference between OpenStack and Hadoop?

A

The Amazon cloud of OpenStack, which is modeled after Google's cloud

OpenStack focuses on virtualization/virtual machines and their associated services, and Hadoop is focused on massive data analysis and processing.

Two

The main purpose of 2OpenStack is to make a complete cloud computing infrastructure. Includes cloud computing (Compute), Network, object storage (objects store), image file Storage (image), identity authentication (authentication), Blockstorage, and front-end UI.

Each of OpenStack's modules provides APIs that can be used independently by the cloud user, and within OpenStack, the mutual invocation of each module also uses these APIs.

And Hadoop is a distributed database. For example, the Object Store module in OpenStack can be selected for support with Hadoop. If you compare Openstack to Windows, Hadoop is the equivalent of SQL Server.

Three

OpenStack is the management of virtual machines, such as XEN,KVM. What it calls a cloud is a bunch of virtual machines.

Hadoop is responsible for distributed computing and distributed storage. is to separate an execution task, put it to a different node (physical machine) to run, and finally summarize.

Four

OpenStack is an IAAS (infrastructure as a service) virtual machine management software that allows anyone to build and deliver cloud computing services on their own.
Hadoop is a distributed file system + distributed computing platform Open source solution, focusing on HDFs cloud storage and MapReduce cloud data analysis and other aspects

Five

OpenStack is the main resource virtualization, Hadoop is mainly used to do super-large data processing, but also to do data mining

Six

OpenStack is the big machine virtual into a lot of small machines to achieve a large number of small to use, greatly improve resource utilization.
Hadoop is a combination of small machines used to solve problems such as computation and storage that cannot be solved by a single big machine.