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From dsetrak...@apache.org
Subject svn commit: r1808799 - /ignite/site/trunk/features/datagrid.html
Date Tue, 19 Sep 2017 01:27:09 GMT
Author: dsetrakyan
Date: Tue Sep 19 01:27:08 2017
New Revision: 1808799

URL: http://svn.apache.org/viewvc?rev=1808799&view=rev
Log:
minor.

Modified:
    ignite/site/trunk/features/datagrid.html

Modified: ignite/site/trunk/features/datagrid.html
URL: http://svn.apache.org/viewvc/ignite/site/trunk/features/datagrid.html?rev=1808799&r1=1808798&r2=1808799&view=diff
==============================================================================
--- ignite/site/trunk/features/datagrid.html (original)
+++ ignite/site/trunk/features/datagrid.html Tue Sep 19 01:27:08 2017
@@ -60,17 +60,19 @@ under the License.
                     <p>
                         Ignite data grid is a <code>distributed, transactional key-value
store</code>. Unlike other
                         in-memory data grids (IMDG), Ignite enables storing data both, in
memory and on disk.
+                        On top of the standard key-value data operations, including all JCache
(JSR 107) features,
                         Ignite data grid also supports <nobr><code>SQL queries</code></nobr>
over its data with the support for
                         <nobr><code>distributed joins</code></nobr>.
-                        The data grid can be viewed as a distributed partitioned hash map
with every
-                        cluster node owning a portion of the overall data. This way the more
cluster nodes we add, the
-                        more data we can cache.
                     </p>
                     <p>
-                        Ignite Data Grid has been built from the ground up to linearly scale
to hundreds of nodes with strong
-                        semantics for data locality and affinity data routing to reduce redundant
data noise.
-                        It is one of the fastest implementations of transactional or
-                        atomic data in distributed clusters today. We know it because we
constantly benchmark it ourselves.
+                        The Data Grid has been built from the ground up to linearly scale
to hundreds of nodes with strong
+                        semantics for data locality and affinity data routing to reduce redundant
data noise. It can be
+                        viewed as a distributed partitioned hash map with every cluster node
owning a portion of the
+                        overall data. This way the more cluster nodes we add, the more data
we can cache.
+                    </p>
+                    <p>
+                        Ignite data grid is one of the fastest implementations of ACID transactions
or
+                        atomic data updates in distributed clusters today. We know it because
we constantly benchmark it ourselves.
                     </p>
                 </div>
 



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