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>
