Hi,

In general, Apache Ignite is both data and computational layer for your 
application. Treat it as a storage which is distributed and fault-tolerant and 
can make your overall solution much faster because the data is closer to CPUs 
(in RAM) and spread across multiple cluster nodes.

Having data in Ignite you can talk to it using traditional SQL language the 
same way and for the same purpose as with conventional RDBMS:
https://apacheignite.readme.io/docs/sql-grid 
<https://apacheignite.readme.io/docs/sql-grid>

Moreover, you can execute computations closer do your data or process your data 
in real-time with compute and streaming grid:
https://apacheignite.readme.io/docs/compute-grid 
<https://apacheignite.readme.io/docs/compute-grid>
https://apacheignite.readme.io/docs/streaming--cep 
<https://apacheignite.readme.io/docs/streaming--cep>

The upshot, is that you can use it for operational and analytical workloads and 
a kind of application is up to your imagination.

GridGain which is based on Apache Ignite shares some specific case studies here:
https://www.gridgain.com/customers/case-studies 
<https://www.gridgain.com/customers/case-studies>

—
Denis 

> On Feb 2, 2017, at 6:03 AM, sb0829 <sushmita.k.beh...@gmail.com> wrote:
> 
> Hi Everyone,
> 
> I am new to Apache Ignite.  I have done some basic examples by querying on
> Ignited Hive. 
> 
> Can I get suggestions for business use-cases by using Apache Ignite?
> 
> According to what I have understood, suppose i have data in cache, what
> further things can be done using Apache Ignite?
> 
> By using different query engines we can get data from databases in quite
> faster amount of time, then what  new things can be done after we put
> unified data?
> 
> Can we send unified query through Apache Ignite?
> 
> Kindly suggest some use-cases, so that i can use Apache Ignite more
> optimized way.
> 
> Thanks,
> sb0829
> 
> 
> 
> 
> --
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