Viewing profile — skjhn

MongoDB returns inconsistent query results. Couchbase avoids this problem with skip lists and snapshots.

Sort of. One of the requirements was replication. The databases had to replicate every document so that it was stored on two different nodes. This ensures availability. The only wa…

"Did they test against a single MongoDB server or cluster?" Couchbase: 9 nodes on 9 AWS instances (1 node per instance). MongoDB: 18 nodes on 9 AWS instances (1 primary and 1 secon…

At least you get SQL and JOINs with Couchbase.

There are a handful of databases that implement map-reduce one way or another - CouchDB, Couchbase, and MongoDB off the top of my head. Views might be a CouchDB/Couchbase concept, …

I'm not sure about the format, but it's compressed.

Let's see if I can help here. A lot people like async map-reduce. If you need to perform aggregation on a lot of data, its constantly growing, and you need the results to be curren…

TLDR - MongoDB is faster than any other NoSQL database in a benchmark published without any configuration. The results can't be reproduced let alone validated. However, in a benchm…

Good catch. Fixed.

TLDR: MongoDB benchmarked Couchbase Server by having it perform CAS operations (read + update) while MongoDB performed basic operations (update), they used an outdated client libra…

It compares 9 nodes of Couchbase Server to 9 nodes of MongoDB. Couchbase Server reads and writes to every node, but MongoDB only reads and writes to primary nodes. That's the probl…

That may be true, but they both have document models and Couchbase Server will have a complete query language based on SQL, secondary indexes, and support for joins. http://docs.co…

I think it's safe to say both mobile and IoT network access is anything but reliable. Not sure if is another solution besides an embedded database with automatic sync.