HDFS is successfully storing well over 50TBs on a single cluster. It's
meant to store data that will be analyzed in a MR job, but it can be used
for archival storage. You'd probably consider deploying nodes with lots of
disk space vs. lots of RAM and processor power. You'll want to do a cost
analysis to determine if tape or HDFS is cheaper.
That said, you should know a few things about HDFS:
- Its read path is optimized for high throughput, and doesn't care as
much about latency (read: it's got high latency relative to other file
- It's not meant for small files, so ideally your video files will be at
least ~100MB each
- It requires that the machines that makeup your cluster be running
whenever you want to access or store data. (Note that HDFS survives if a
small percentage of your nodes go down; it's built with fault tolerance in
I hope this clears things up. Let me know if you have any other questions.
On Tue, Jun 16, 2009 at 2:44 AM, W wrote:
Dear Hadoop Guru's,
After googling and find some information on using hadoop as cloud
storage (long term).
I have a problem to maintain lots of data (around 50 TB) much of them
are TV Commercial (video files).
I know, the best solution for long term file archiving is using tape
backup, but i just curious, is hadoop
can be used as 'data archiving' platform ?
Making IT, Business and Education in Harmony
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