Repository: accumulo-website Updated Branches: refs/heads/asf-site 3ebcecd50 -> 40b814bbf refs/heads/master 7a5c6faf4 -> 2a3cec69f
Add Apache prefix to ASF projects on projects page Project: http://git-wip-us.apache.org/repos/asf/accumulo-website/repo Commit: http://git-wip-us.apache.org/repos/asf/accumulo-website/commit/2a3cec69 Tree: http://git-wip-us.apache.org/repos/asf/accumulo-website/tree/2a3cec69 Diff: http://git-wip-us.apache.org/repos/asf/accumulo-website/diff/2a3cec69 Branch: refs/heads/master Commit: 2a3cec69fc8bfca9106381a31282dd23f2513474 Parents: 7a5c6fa Author: Christopher Tubbs <ctubb...@apache.org> Authored: Fri Nov 25 15:35:34 2016 -0500 Committer: Christopher Tubbs <ctubb...@apache.org> Committed: Fri Nov 25 15:35:34 2016 -0500 ---------------------------------------------------------------------- projects.md | 40 ++++++++++++++++++++-------------------- 1 file changed, 20 insertions(+), 20 deletions(-) ---------------------------------------------------------------------- http://git-wip-us.apache.org/repos/asf/accumulo-website/blob/2a3cec69/projects.md ---------------------------------------------------------------------- diff --git a/projects.md b/projects.md index ceea91e..9abef9f 100644 --- a/projects.md +++ b/projects.md @@ -9,44 +9,44 @@ them visibility to a larger audience. To have you project listed here, send a re ## Open source projects using Accumulo -#### Fluo +#### Apache Fluo [Fluo](https://fluo.apache.org) builds on Accumulo and enables low latency, continuous incremental processing of big data. -#### Geomesa +#### Apache Gora -[Geomesa](http://www.geomesa.org/) is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. +[Gora](https://gora.apache.org/) open source framework provides an in-memory data model and persistence for big data. Accumulo's continuous ingest test suite was adapted to Gora and called [Goraci](http://gora.apache.org/current/index.html#goraci-integration-testsing-suite). -#### Geowave +#### Apache Hive -[Geowave](https://ngageoint.github.io/geowave/) is a library for storage, index, and search of multi-dimensional data on top of a sorted key-value datastore. +[Hive](https://hive.apache.org/) data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. +Hive has the ability to read and write data in Accumulo using the [AccumuloStorageHandler](https://cwiki.apache.org/confluence/display/Hive/AccumuloIntegration). -#### Gora +#### Apache Pig -[Gora](https://gora.apache.org/) open source framework provides an in-memory data model and persistence for big data. Accumulo's continuous ingest test suite was adapted to Gora and called [Goraci](http://gora.apache.org/current/index.html#goraci-integration-testsing-suite). +[Pig](http://pig.apache.org/) is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Pig has the ability to read and write data in Accumulo using [AccumuloStorage](http://pig.apache.org/docs/r0.16.0/func.html#AccumuloStorage). -#### Graphulo +#### Apache Rya -Graphulo is a Java library for Apache Accumulo which delivers server-side sparse matrix math primitives that -enable higher-level graph algorithms and analytics. [Code](https://github.com/Accla/graphulo). +[Rya](http://rya.apache.org/) is a scalable RDF triple store built on top of a columnar index store. + +#### Geomesa -#### Hive +[Geomesa](http://www.geomesa.org/) is an open-source, distributed, spatio-temporal database built on a number of distributed cloud data storage systems, including Accumulo, HBase, Cassandra, and Kafka. -[Hive](https://hive.apache.org/) data warehouse software facilitates reading, writing, and managing large datasets residing in distributed storage using SQL. -Hive has the ability to read and write data in Accumulo using the [AccumuloStorageHandler](https://cwiki.apache.org/confluence/display/Hive/AccumuloIntegration). +#### Geowave -#### Pig +[Geowave](https://ngageoint.github.io/geowave/) is a library for storage, index, and search of multi-dimensional data on top of a sorted key-value datastore. -[Pig](http://pig.apache.org/) is a platform for analyzing large data sets that consists of a high-level language for expressing data analysis programs, coupled with infrastructure for evaluating these programs. Pig has the ability to read and write data in Accumulo using [AccumuloStorage](http://pig.apache.org/docs/r0.16.0/func.html#AccumuloStorage). +#### Graphulo + +Graphulo is a Java library for Apache Accumulo which delivers server-side sparse matrix math primitives that +enable higher-level graph algorithms and analytics. [Code](https://github.com/Accla/graphulo). #### Presto [Presto](https://prestodb.io/) is an open source distributed SQL query engine for running interactive analytic queries against data sources of all sizes, ranging from gigabytes to petabytes. Through the use of the new Accumulo connector for Presto, users are able to execute traditional SQL queries against new and existing tables in Accumulo. For more information, see the [Accumulo Connector](https://prestodb.io/docs/current/connector/accumulo.html) documentation. -#### Rya - -[Rya](http://rya.apache.org/) is a scalable RDF triple store built on top of a columnar index store. - #### Timely [Timely](https://nationalsecurityagency.github.io/timely/) : A secure time series database based on Accumulo and Grafana. @@ -61,7 +61,7 @@ Hive has the ability to read and write data in Accumulo using the [AccumuloStora [Trendulo](http://trendulo.com/) is Twitter trend analysis using Apache Accumulo. The [source code](https://github.com/jaredwinick/Trendulo) is publicly available. -#### Wikisearch +#### Wikisearch The [Wikisearch project]({{ site.baseurl }}/example/wikisearch) is a rough example of generalized secondary indexing, both ingest and search, built on top of Apache Accumulo. This write contains more information on the project as well as some
