Add xDiscover to third-party tools list

Gemfile.lock

@@ -1,18 +1,18 @@
 GEM
  remote: https://rubygems.org/
  specs:
- addressable (2.8.6)
- public_suffix (>= 2.0.2, < 6.0)
+ addressable (2.8.7)
+ public_suffix (>= 2.0.2, < 7.0)
  colorator (1.1.0)
- concurrent-ruby (1.2.3)
+ concurrent-ruby (1.3.3)
  em-websocket (0.5.3)
  eventmachine (>= 0.12.9)
  http_parser.rb (~> 0)
  eventmachine (1.2.7)
- ffi (1.16.3)
+ ffi (1.17.0)
  forwardable-extended (2.6.0)
  http_parser.rb (0.8.0)
- i18n (1.14.1)
+ i18n (1.14.5)
  concurrent-ruby (~> 1.0)
  jekyll (4.2.0)
  addressable (~> 2.4)
@@ -38,21 +38,23 @@ GEM
  kramdown-parser-gfm (1.1.0)
  kramdown (~> 2.0)
  liquid (4.0.4)
- listen (3.8.0)
+ listen (3.9.0)
  rb-fsevent (~> 0.10, >= 0.10.3)
  rb-inotify (~> 0.9, >= 0.9.10)
  mercenary (0.4.0)
  pathutil (0.16.2)
  forwardable-extended (~> 2.6)
- public_suffix (5.0.4)
+ public_suffix (6.0.0)
  rb-fsevent (0.11.2)
- rb-inotify (0.10.1)
+ rb-inotify (0.11.1)
  ffi (~> 1.0)
- rexml (3.2.6)
+ rexml (3.3.1)
+ strscan
  rouge (3.26.0)
  safe_yaml (1.0.5)
  sassc (2.4.0)
  ffi (~> 1.9)
+ strscan (3.1.0)
  terminal-table (2.0.0)
  unicode-display_width (~> 1.1, >= 1.1.1)
  unicode-display_width (1.8.0)

site/third-party-projects.html

@@ -209,6 +209,7 @@ <h2>Applications using Spark</h2>
  <li><a href="https://github.com/salesforce/TransmogrifAI">TransmogrifAI</a> - AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning</li>
  <li><a href="https://github.com/JohnSnowLabs/spark-nlp">Natural Language Processing for Apache Spark</a> - A library to provide simple, performant, and accurate NLP annotations for machine learning pipelines</li>
  <li><a href="http://rumbledb.org">Rumble for Apache Spark</a> - A JSONiq engine to query, with a functional language, large, nested, and heterogeneous JSON datasets that do not fit in dataframes.</li>
+ <li><a href="https://xdiscover.de">xDiscover for Apache Spark SQL</a> - Write, Analyze, and Compare Apache Spark SQL Queries Like Never Before.</li>
 </ul>
 
 <h2>Performance, monitoring, and debugging tools for Spark</h2>

third-party-projects.md

@@ -66,6 +66,7 @@ transforming, and analyzing genomic data using Apache Spark
 - <a href="https://github.com/salesforce/TransmogrifAI">TransmogrifAI</a> - AutoML library for building modular, reusable, strongly typed machine learning workflows on Spark with minimal hand tuning
 - <a href="https://github.com/JohnSnowLabs/spark-nlp">Natural Language Processing for Apache Spark</a> - A library to provide simple, performant, and accurate NLP annotations for machine learning pipelines
 - <a href="http://rumbledb.org">Rumble for Apache Spark</a> - A JSONiq engine to query, with a functional language, large, nested, and heterogeneous JSON datasets that do not fit in dataframes.
+- <a href="https://xdiscover.de">xDiscover for Apache Spark SQL</a> - Write, Analyze, and Compare Apache Spark SQL Queries Like Never Before.
 
 <h2>Performance, monitoring, and debugging tools for Spark</h2>