Sign Up to our social questions and Answers Engine to ask questions, answer people’s questions, and connect with other people.
Login to our social questions & Answers Engine to ask questions answer people’s questions & connect with other people.
Lost your password? Please enter your email address. You will receive a link and will create a new password via email.
Please briefly explain why you feel this question should be reported.
Please briefly explain why you feel this answer should be reported.
Please briefly explain why you feel this user should be reported.
For a business use case where we have to deal with minimum “2-3 terabyte” of data per day, I was doing analysis on “Hadoop & Storm”.
Needless to say that “Storm” looks impressive because of its efficiency in processing incoming big data but I am not sure whether “Storm” will be capable enough to process “Terabyte” of data and at the same time providing me real-time results or not ?
Can anyone explain please?
Thanks,
Gajendra
Storm was developed by twitter. they process more than 8 TB per day with it. Sounds like this should be enough for your case. Afaik storm is the best streaming/realtime system for distributed computing. hadoop is not suitable for it due to job start up times and not native handling of streaming data.
a fact is, both can handle the data per day you wish when you have enough server power and storage etc.