So, MongoDB looks like a viable choice, but that means adding another 
technology to my "stack". Disque looks interesting, but seems a little to 
rough/early to consider right now. I'm still taking a deeper dive into 
Hazelcast (although there are some good articles on exactly this use-case, 
so that looks promising). But I'm curious--what would be the downside to 
implementing a queue in an ODB memory-storage document database, 
"replicated" across a few servers for redundancy? I need it to be reliable, 
but the messages are short-lived and so don't need to be persistent.
--Eric

On Wednesday, July 15, 2015 at 9:10:58 AM UTC-5, Eric24 wrote:
>
> Thanks for the suggestions. I'll check them out. Although my objective was 
> to not introduce yet another technology--that's why I was looking at 
> Hazelcast as a "next alternative", assuming ODB wasn't optimal for this. 
> Regarding Hazelcast, can you confirm my understanding that it's already 
> "included" with an ODB installation? And if so, can I access it directly?
> --Eric
>
>
> On Wednesday, July 15, 2015 at 1:44:04 AM UTC-5, tech support wrote:
>>
>> you can use a in memory grid hazelcast /gridgain , high performance 
>> distributed queue  
>>
>> On Wed, Jul 15, 2015 at 10:38 AM, Riccardo Tasso <[email protected]> 
>> wrote:
>>
>>> Please, consider also Disque:
>>>
>>> http://antirez.com/news/88
>>>
>>> Cheers,
>>>    Riccardo
>>> Il 15/lug/2015 05:50, "scott molinari" <[email protected]> ha 
>>> scritto:
>>>
>>>> Maybe you would want to look at MongoDB for this use case, as it is 
>>>> very special and Mongo fulfils it well. They have a collection type called 
>>>> Capped collections, which has a built in FIFO feature. It has a fixed 
>>>> size, 
>>>> so any data entering the collection causing it to grow larger than the 
>>>> fixed size means old data gets pushed out automatically. 
>>>>
>>>> https://docs.mongodb.org/manual/core/capped-collections/
>>>>
>>>> Scott
>>>>
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>>
>>

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