Chris,
I wanted to follow up my previous note with a bit more detail. We
are in communication with the NGA team behind GeoWave. We are
looking to align the products much more closely in the near future
to create a best-of-breed solution.
Stay tuned for more details.
Jim
On 01/13/2015 06:00 PM, Jim Hughes
wrote:
Hi Chris,
Yes, we are have seen GeoWave. From conversations with the
GeoWave team, we did make a number of similar design choices.
Both projects are under active development. Each project has
looked different datasets and focused on different analytics.
The big notable difference between the implementations is the
space filling curve we use to index quad tries. They use an
external, compact Hilbert curve library while we have rolled our
own GeoHash/Z-curve/Morton order code. GeoMesa has added support
for attribute indexes. (I'm not sure if GeoWave has added a
similar feature.) With separate spatio-temporal and attribute
indexes, GeoMesa can likely select smaller Accumulo ranges than
one would need to using a compact Hilbert curve covering all the
data.
Ideally, that'd lead to a boost in query performance. I don't
know of any benchmarks, and each project can be tuned. Anyhow, I
think that's the most fair comparison I can make as a biased
developer.
Cheers,
Jim
On 01/13/2015 05:24 PM, Chris Snider
wrote:
Hi,
Ran across this product the other day and
wondered if anyone on the GeoMesa team had any
familiarization with it:
https://ngageoint.github.io/geowave/
Chris Snider
Senior Software
Engineer
Intelligent
Software Solutions, Inc.

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