svn commit: r1865302 - /gora/committers/doap_Gora.rdf

[dj...@apache.org]

Author: djkevincr
Date: Fri Aug 16 14:22:10 2019
New Revision: 1865302

URL: http://svn.apache.org/viewvc?rev=1865302&view=rev
Log:
Add latest updates to doap_Gora.rdf

Modified:
    gora/committers/doap_Gora.rdf

Modified: gora/committers/doap_Gora.rdf
URL: http://svn.apache.org/viewvc/gora/committers/doap_Gora.rdf?rev=1865302&r1=1865301&r2=1865302&view=diff
==============================================================================
--- gora/committers/doap_Gora.rdf (original)
+++ gora/committers/doap_Gora.rdf Fri Aug 16 14:22:10 2019
@@ -27,8 +27,11 @@
     <name>Apache Gora</name>
     <homepage rdf:resource="http://gora.apache.org" />
     <asfext:pmc rdf:resource="http://gora.apache.org" />
-    <shortdesc>The Apache Gora open source framework provides an in-memory data model and persistence for big data. Gora supports persisting to column stores, key value stores, document stores and RDBMSs, and analyzing the data with extensive Apache Hadoop MapReduce support.</shortdesc>
-    <description>Although there are various excellent ORM frameworks for relational databases, data modeling in NoSQL data stores differ profoundly from their relational cousins. Moreover, data-model agnostic frameworks such as JDO are not sufficient for use cases, where one needs to use the full power of the data models in column stores. Gora fills this gap by giving the user an easy-to-use in-memory data model and persistence for big data framework with data store specific mappings and built in Apache Hadoop support.</description>
+    <shortdesc>The Apache Gora open source framework provides an in-memory data model and 
+         persistence for big data. Gora supports persisting to column stores, key value stores, 
+         document stores, distributed in-memory key/value stores, in-memory data grids, in-memory caches,
+        distributed multi-model stores, and hybrid in-memory architectures.</shortdesc>
+    <description>Although there are various excellent ORM frameworks for relational databases, data modeling in NoSQL data stores differ profoundly from their relational cousins. Moreover, data-model agnostic frameworks such as JDO are not sufficient for use cases, where one needs to use the full power of the data models in column stores. Gora fills this gap by giving the user an easy-to-use in-memory data model and persistence for big data framework with data store specific mappings and built in Apache Hadoop MapReduce, Apache Spark, Apache Flink and Apache Pig support.</description>
     <bug-database rdf:resource="https://issues.apache.org/jira/browse/GORA" />
     <mailing-list rdf:resource="http://gora.apache.org/mailing_lists.html" />
     <download-page rdf:resource="http://gora.apache.org/releases.html" />
@@ -36,9 +39,23 @@
     <category rdf:resource="http://projects.apache.org/category/nosql" />
     <release>
       <Version>
-        <name>0.6.1 release</name>
-        <created>2015-09-14</created>
-        <revision>0.6.1</revision>
+        <name>0.9 release</name>
+        <created>2019-08-15</created>
+        <revision>0.9</revision>
+      </Version>
+    </release>
+    <release>
+      <Version>
+        <name>0.8 release</name>
+        <created>2017-09-20</created>
+        <revision>0.8</revision>
+      </Version>
+    </release>
+    <release>
+      <Version>
+        <name>0.7 release</name>
+        <created>2017-03-23</created>
+        <revision>0.7</revision>
       </Version>
     </release>
     <release>