ORC-1071: Update adopters page (#985)

docs/adopters.html

@@ -831,6 +831,33 @@ <h3 id="apache-hadoop"><a href="https://hadoop.apache.org/">Apache Hadoop</a></h
 Hive’s exec jar and all of its dependencies. OrcStruct now also implements
 WritableComparable and can be serialized through the MapReduce shuffle.</p>
 
+<h3 id="apache-spark"><a href="https://spark.apache.org/">Apache Spark</a></h3>
+
+<p>Apache Spark has <a href="https://databricks.com/blog/2015/07/16/joint-blog-post-bringing-orc-support-into-apache-spark.html">added
+support</a>
+for reading and writing ORC files with support for column project and
+predicate push down.</p>
+
+<h3 id="apache-arrow"><a href="https://arrow.apache.org/">Apache Arrow</a></h3>
+
+<p>Apache Arrow supports reading and writing <a href="https://arrow.apache.org/docs/index.html?highlight=orc#apache-arrow">ORC file format</a>.</p>
+
+<h3 id="apache-flink"><a href="https://flink.apache.org/">Apache Flink</a></h3>
+
+<p>Apache Flink supports
+<a href="https://nightlies.apache.org/flink/flink-docs-release-1.14/docs/connectors/table/formats/orc/">ORC format in Table API</a>
+for reading and writing ORC files.</p>
+
+<h3 id="apache-iceberg"><a href="https://iceberg.apache.org/">Apache Iceberg</a></h3>
+
+<p>Apache Iceberg supports <a href="https://iceberg.apache.org/#spec/#orc">ORC spec</a> to use ORC tables.</p>
+
+<h3 id="apache-druid"><a href="https://druid.apache.org/">Apache Druid</a></h3>
+
+<p>Apache Druid supports
+<a href="https://druid.apache.org/docs/0.22.1/development/extensions-core/orc.html#orc-extension">ORC extension</a>
+to ingest and understand the Apache ORC data format.</p>
+
 <h3 id="apache-hive"><a href="https://hive.apache.org/">Apache Hive</a></h3>
 
 <p>Apache Hive was the original use case and home for ORC.  ORC’s strong
@@ -839,6 +866,12 @@ <h3 id="apache-hive"><a href="https://hive.apache.org/">Apache Hive</a></h3>
 better</a>
 than any other format for your data.</p>
 
+<h3 id="apache-gobblin"><a href="https://gobblin.apache.org/">Apache Gobblin</a></h3>
+
+<p>Apache Gobblin supports
+<a href="https://gobblin.apache.org/docs/case-studies/Writing-ORC-Data/">writing data to ORC files</a>
+by leveraging Apache Hive’s SerDe library.</p>
+
 <h3 id="apache-nifi"><a href="https://nifi.apache.org/">Apache Nifi</a></h3>
 
 <p>Apache Nifi is <a href="https://issues.apache.org/jira/browse/NIFI-1663">adding
@@ -850,13 +883,6 @@ <h3 id="apache-pig"><a href="https://pig.apache.org/">Apache Pig</a></h3>
 <p>Apache Pig added support for reading and writing ORC files in <a href="https://hortonworks.com/blog/announcing-apache-pig-0-14-0/">Pig
 14.0</a>.</p>
 
-<h3 id="apache-spark"><a href="https://spark.apache.org/">Apache Spark</a></h3>
-
-<p>Apache Spark has <a href="https://databricks.com/blog/2015/07/16/joint-blog-post-bringing-orc-support-into-apache-spark.html">added
-support</a>
-for reading and writing ORC files with support for column project and
-predicate push down.</p>
-
 <h3 id="eel"><a href="https://github.com/51zero/eel-sdk">EEL</a></h3>
 
 <p>EEL is a Scala BigData API that supports reading and writing data for
@@ -875,6 +901,14 @@ <h3 id="facebook"><a href="https://facebook.com">Facebook</a></h3>
 <p>With more than 300 PB of data, Facebook was an <a href="https://code.facebook.com/posts/229861827208629/scaling-the-facebook-data-warehouse-to-300-pb/">early adopter of
 ORC</a> and quickly put it into production.</p>
 
+<h3 id="linkedin"><a href="https://linkedin.com">LinkedIn</a></h3>
+
+<p>LinkedIn uses
+<a href="https://engineering.linkedin.com/blog/2021/fastingest-low-latency-gobblin">the ORC file format</a>
+with Apache Iceberg metadata catalog and Apache Gobblin to provide our data customers with high-query performance.</p>
+
+<p>https://engineering.linkedin.com/blog/2021/fastingest-low-latency-gobblin</p>
+
 <h3 id="trino-formerly-presto-sql"><a href="https://trino.io/">Trino (formerly Presto SQL)</a></h3>
 
 <p>The Trino team has done a lot of work <a href="https://code.facebook.com/posts/370832626374903/even-faster-data-at-the-speed-of-presto-orc/">integrating