couchdb
Joined 16 years ago
Karma
104
Submissions
18
Member since
Jul 14
I'm a database made of the web: http://couchdb.apache.org/
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Comment · 16 years ago
There is a recently open-sourced fork of CouchDB that does the sharding thing. With this addition to the capabilities, CouchDB really can scale up to hundred machine clusters.
Comment · 16 years ago
If they cared for data-integrity above performance, they would be running with delayed_commits=false anyway, and thus would not be subject to the bug.
Comment · 16 years ago
I should make clear that the notice is titled "Notice for 1.0.1" because the 1.0.1 release (due this week) will contain the fix. The bug is confined to 1.0.0.
Comment · 16 years ago
the benefit of a bulk index is the ability to shove everything into a file and fsync once. so splitting across files won't really give the performance benefits.
Comment · 16 years ago
What up samratjp?!
Check out http://www.couch.io/case-studies
And a longer list here http://wiki.apache.org/couchdb/CouchDB_in_the_wild
Comment · 16 years ago
You can get my Android installer here: http://www.couch.io/android
Remember it's only a developer preview, but it should be fully-functional. Requires Android 2.1 or 2.2
Comment · 16 years ago
I've been in production without issue for years in some installations. I probably could have raised the "production-ready" flag in 2008/2009 if I held myself to the same standards as a lot of projects.
Comment · 16 years ago
I've got truly offline replication (as in you can run me on Android and your laptop and keep them synced via the cloud).
Also, none of the other NoSQLs are really set up for schemaless queries like I am. Incremental map-reduce lets you normalize a bunch of different heterogenous document structures in your view, which is more flexible than the key-path indexes Mongo has, and more real-time than Hadoop/Google style map reduce.
Comment · 16 years ago
Map-reduce a beer for your homie from the beam VM!