So when I came across Ignite It was described as an In Memory Data Grid 

So one way to look at this is who do you fashion as Ignite competing against?

Are competing against Redis, Aerospike - In Memory Databases

Or are you more competing with 

Gigaspaces - True In memory Compute platform

And then you have like of 

Hazelcast that started as a Distributed Hash and have gained some features...

On thing that I think is a differentiator that isn't being highlighted but Is  
unique feature to Ignited, and the primary reason we ended up here; The 
integration with spark and it's distributed/shared Datasets/Dataframes. 

I don't know for me the In Memory Data Grid I think fits what Ignite is... 

Regards

~Adam

Adam Carbone | Director of Innovation – Intelligent Platform Team | Bottomline 
Technologies
Office: 603-501-6446 | Mobile: 603-570-8418
www.bottomline.com
 
 

On 9/17/20, 11:45 AM, "Glenn Wiebe" <glenn.wi...@gridgain.com> wrote:

    I agree with Stephen about "database" devaluing what Ignite can do (though
    it probably hits the majority of existing use cases). I tend to go with
    "massively distributed storage and compute platform"

    I know, I didn't take sides, I just have both.

    Cheers,
      Glenn

    On Thu., Sep. 17, 2020, 7:04 a.m. Stephen Darlington, <
    stephen.darling...@gridgain.com> wrote:

    > I think this is a great question. Explaining what Ignite does is always a
    > challenge, so having a useful “tag line” would be very valuable.
    >
    > I’m not sure what the answer is but I think calling it a “database”
    > devalues all the compute facilities. "Computing platform” may be too vague
    > but it at least says that we do more than “just” store data.
    >
    > On 17 Sep 2020, at 06:29, Valentin Kulichenko <
    > valentin.kuliche...@gmail.com> wrote:
    >
    > My vote is for the "distributed memory-first database". It clearly states
    > that Ignite is a database (which is true at this point), while still
    > emphasizing the in-memory computing power endorsed by the platform.
    >
    > The "in-memory computing platform" is an ambiguous term and doesn't really
    > reflect what Ignite is, especially in its current state.
    >
    > -Val
    >
    > On Wed, Sep 16, 2020 at 3:53 PM Denis Magda <dma...@apache.org> wrote:
    >
    >> Igniters,
    >>
    >> Throughout the history of our project, we could see how the addition of
    >> certain features required us to reassess the project's name and category.
    >>
    >> Before Ignite joined the ASF, it supported only compute APIs resembling
    >> the
    >> MapReduce engine of Hadoop. Those days, it was fair to define Ignite as 
"a
    >> distributed in-memory computing engine". Next, at the time of the project
    >> donation, it already included key-value/SQL/transactional APIs, was used
    >> as
    >> a distributed cache, and significantly outgrew the "in-memory computing
    >> engine" use case. That's how the project transitioned to the product
    >> category of in-memory caches and we started to name it as an "in-memory
    >> data grid" or "in-memory computing platform" to differentiate from
    >> classical caching products such as Memcached and Redis.
    >>
    >> Nowadays, the project outgrew its caching use case, and the 
classification
    >> of Ignite as an "in-memory data grid" or "in-memory computing platform"
    >> doesn't sound accurate. We rebuilt our storage engine by replacing a
    >> typical key-value engine with a B-tree engine that spans across memory 
and
    >> disk tiers. And it's not surprising to see more deployments of Ignite as 
a
    >> database on its own. So, it feels like we need to reconsider Ignite
    >> positioning again so that a) application developers can discover it 
easily
    >> via search engines and b) the project can stand out from in-memory
    >> projects
    >> with intersecting capabilities.
    >>
    >> To the point, I'm suggesting to reposition Ignite in one of the following
    >> ways:
    >>
    >>    1. Ignite is a "distributed X database". We are indeed a distributed
    >>    partitioned database where X can be "multi-tiered" or "memory-first" 
to
    >>    emphasize that we are more than an in-memory database.
    >>    2. Keep defining Ignite as "an in-memory computing platform" but name
    >>    our storage engine uniquely as "IgniteDB" to highlight that the
    >> platform is
    >>    powered by a "distributed multi-tiered/memory-first database".
    >>
    >> What is your thinking?
    >>
    >>
    >> (Also, regardless of a selected name, Ignite still will be used as a 
cache
    >> and grid, and we're not going to stop appealing to those use cases. But
    >> those are just use cases while Ignite has to figure out its new identity
    >> ... again).
    >>
    >>
    >> -
    >> Denis
    >>
    >
    >
    >

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