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| <p>Kudu's storage format enables single row updates, whereas updates to existing Druid segments requires recreating the segment, so theoretically |
| the process for updating old values should be higher latency in Druid. However, the requirements in Kudu for maintaining extra head space to store |
| updates as well as organizing data by id instead of time has the potential to introduce some extra latency and accessing |
| of data that is not needed to answer a query at query time.</p> |
| <p>Druid summarizes/rollups up data at ingestion time, which in practice reduces the raw data that needs to be |
| stored significantly (up to 40 times on average), and increases performance of scanning raw data significantly. |
| Druid segments also contain bitmap indexes for fast filtering, which Kudu does not currently support. |
| Druid's segment architecture is heavily geared towards fast aggregates and filters, and for OLAP workflows. Appends are very |
| fast in Druid, whereas updates of older data are higher latency. This is by design as the data Druid is good for is typically event data, |
| and does not need to be updated too frequently. Kudu supports arbitrary primary keys with uniqueness constraints, and |
| efficient lookup by ranges of those keys. Kudu chooses not to include the execution engine, but supports sufficient |
| operations so as to allow node-local processing from the execution engines. This means that Kudu can support multiple frameworks on the same data (e.g., MR, Spark, and SQL). |
| Druid includes its own query layer that allows it to push down aggregations and computations directly to data processes for faster query processing.</p> |
| </span></div></article></div><div class="docs-prevnext"><a class="docs-prev button" href="/docs/latest/comparisons/druid-vs-key-value.html"><span class="arrow-prev">← </span><span class="function-name-prevnext">Apache Druid vs. Key/Value Stores (HBase/Cassandra/OpenTSDB)</span></a><a class="docs-next button" href="/docs/latest/comparisons/druid-vs-redshift.html"><span>Apache Druid vs Redshift</span><span class="arrow-next"> →</span></a></div></div></div><nav class="onPageNav"></nav></div><footer class="nav-footer druid-footer" id="footer"><div class="container"><div class="text-center"><p><a href="/technology">Technology</a> · <a href="/use-cases">Use Cases</a> · <a href="/druid-powered">Powered by Druid</a> · <a href="/docs/latest/latest">Docs</a> · <a href="/community/">Community</a> · <a href="/downloads.html">Download</a> · <a href="/faq">FAQ</a></p></div><div class="text-center"><a title="Join the user group" href="https://groups.google.com/forum/#!forum/druid-user" target="_blank"><span class="fa fa-comments"></span></a> · <a title="Follow Druid" href="https://twitter.com/druidio" target="_blank"><span class="fab fa-twitter"></span></a> · <a title="Download via Apache" href="https://www.apache.org/dyn/closer.cgi?path=/incubator/druid/{{ site.druid_versions[0].versions[0].version }}/apache-druid-{{ site.druid_versions[0].versions[0].version }}-bin.tar.gz" target="_blank"><span class="fas fa-feather"></span></a> · <a title="GitHub" href="https://github.com/apache/druid" target="_blank"><span class="fab fa-github"></span></a></div><div class="text-center license">Copyright © 2019 <a href="https://www.apache.org/" target="_blank">Apache Software Foundation</a>.<br/>Except where otherwise noted, licensed under <a rel="license" href="http://creativecommons.org/licenses/by-sa/4.0/">CC BY-SA 4.0</a>.<br/>Apache Druid, Druid, and the Druid logo are either registered trademarks or trademarks of The Apache Software Foundation in the United States and other countries.</div></div></footer></div><script type="text/javascript" src="https://cdn.jsdelivr.net/docsearch.js/1/docsearch.min.js"></script><script> |
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