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From Jonathan Ellis <>
Subject Re: Write performance help needed
Date Tue, 03 May 2011 14:22:45 GMT
You don't give many details, but I would guess:

- your benchmark is not multithreaded
- mongodb is not configured for durable writes, so you're really only
measuring the time for it to buffer it in memory
- you haven't loaded enough data to hit "mongo's index doesn't fit in
memory anymore"

On Tue, May 3, 2011 at 8:24 AM, Steve Smith <> wrote:
> I am working for client that needs to persist 100K-200K records per second
> for later querying.  As a proof of concept, we are looking at several
> options including nosql (Cassandra and MongoDB).
> I have been running some tests on my laptop (MacBook Pro, 4GB RAM, 2.66 GHz,
> Dual Core/4 logical cores) and have not been happy with the results.
> The best I have been able to accomplish is 100K records in approximately 30
> seconds.  Each record has 30 columns, mostly made up of integers.  I have
> tried both the Hector and Pelops APIs, and have tried writing in batches
> versus one at a time.  The times have not varied much.
> I am using the out of the box configuration for Cassandra, and while I know
> using 1 disk will have an impact on performance, I would expect to see
> better write numbers than I am.
> As a point of reference, the same test using MongoDB I was able to
> accomplish 100K records in 3.5 seconds.
> Any tips would be appreciated.
> - Steve

Jonathan Ellis
Project Chair, Apache Cassandra
co-founder of DataStax, the source for professional Cassandra support

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