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	<id>https://air.imag.fr/index.php?action=history&amp;feed=atom&amp;title=Apache_Phoenix</id>
	<title>Apache Phoenix - Revision history</title>
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	<updated>2026-06-11T15:30:50Z</updated>
	<subtitle>Revision history for this page on the wiki</subtitle>
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	<entry>
		<id>https://air.imag.fr/index.php?title=Apache_Phoenix&amp;diff=30224&amp;oldid=prev</id>
		<title>Donsez at 19:48, 31 July 2016</title>
		<link rel="alternate" type="text/html" href="https://air.imag.fr/index.php?title=Apache_Phoenix&amp;diff=30224&amp;oldid=prev"/>
		<updated>2016-07-31T19:48:39Z</updated>

		<summary type="html">&lt;p&gt;&lt;/p&gt;
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				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;← Older revision&lt;/td&gt;
				&lt;td colspan=&quot;2&quot; style=&quot;background-color: #fff; color: #202122; text-align: center;&quot;&gt;Revision as of 19:48, 31 July 2016&lt;/td&gt;
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  &lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;
  &lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;br /&gt;&lt;/td&gt;
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  &lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;
  &lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce.&lt;/div&gt;&lt;/td&gt;
  &lt;td class=&quot;diff-marker&quot;&gt;&lt;/td&gt;
  &lt;td style=&quot;background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce.&lt;/div&gt;&lt;/td&gt;
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  &lt;td colspan=&quot;2&quot; class=&quot;diff-empty diff-side-deleted&quot;&gt;&lt;/td&gt;
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  &lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;=Getting Started=&lt;/div&gt;&lt;/td&gt;
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  &lt;td colspan=&quot;2&quot; class=&quot;diff-empty diff-side-deleted&quot;&gt;&lt;/td&gt;
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  &lt;td style=&quot;color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;&quot;&gt;&lt;div&gt;* https://dzone.com/articles/apache-phoenix-sql-driver&lt;/div&gt;&lt;/td&gt;
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		<author><name>Donsez</name></author>
	</entry>
	<entry>
		<id>https://air.imag.fr/index.php?title=Apache_Phoenix&amp;diff=30221&amp;oldid=prev</id>
		<title>Donsez: Created page with &quot;https://phoenix.apache.org/  Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds: * the power of ...&quot;</title>
		<link rel="alternate" type="text/html" href="https://air.imag.fr/index.php?title=Apache_Phoenix&amp;diff=30221&amp;oldid=prev"/>
		<updated>2016-07-31T19:45:33Z</updated>

		<summary type="html">&lt;p&gt;Created page with &amp;quot;https://phoenix.apache.org/  Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds: * the power of ...&amp;quot;&lt;/p&gt;
&lt;p&gt;&lt;b&gt;New page&lt;/b&gt;&lt;/p&gt;&lt;div&gt;https://phoenix.apache.org/&lt;br /&gt;
&lt;br /&gt;
Apache Phoenix enables OLTP and operational analytics in Hadoop for low latency applications by combining the best of both worlds:&lt;br /&gt;
* the power of standard SQL and JDBC APIs with full ACID transaction capabilities and&lt;br /&gt;
* the flexibility of late-bound, schema-on-read capabilities from the NoSQL world by leveraging HBase as its backing store&lt;br /&gt;
&lt;br /&gt;
Apache Phoenix is fully integrated with other Hadoop products such as Spark, Hive, Pig, Flume, and Map Reduce.&lt;/div&gt;</summary>
		<author><name>Donsez</name></author>
	</entry>
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