Alternative to Amazon S3 for the data center?

问题:

I'm looking to for a service that is similar to Amazon S3, a simple service to store and retrieve arbitrary data (and meta-data), but one that runs locally in your own data center. Strictly speaking, I'm not sure whether you would call this a CDN or a lightweight CMS.

It must be horizontally scalable (both for storage and bandwidth) and fault tolerable. It must also support REST, preferably WS too, with a pluggable authentication and authorization system. Something built with Java EE would be preferable for more convenient integration and extensibility, but this is just a personal preference, and it not a requirement.

Suggestions?

回答1:

Here are a few open source solutions I have come across that deserve further research:

1. Apache Sling (JCR based CMS (JSR170, JSR283), RESTful interface).
2. Apache Hadoop (Java based distributed data-store, map reduce functionality).
3. HBase (built on top of Hadoop, provding Google Bigtable-like capabilities).
4. CouchDB (Erlang based key/value DB with Map/Reduce functionality, RESTful interface).
5. Dynomite (Erlang based, Amazon dynamo clone).
6. Voldemort (Distributed key-value storage system).
7. Cassandra (highly scalable, eventually consistent, distributed, structured key-value store).
8. MongoDB (highly scalable, JSON document based storage).

回答2:

Walrus project (mostly s3 api compatible) . . .

http://open.eucalyptus.com/wiki/EucalyptusStorage_v1.4

回答3:

Park place is an S3 clone in Ruby.

回答4:

In addition to Park Place, the only other big player against S3 right now is Nirvanix. Nirvanix