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         <h1>Meet the Druid and Find Out Why We Set Him Free</h1>
         <p class="text-muted">by <span class="author text-uppercase">Steve Harris</span> · April 26, 2013</p>

         <p>Before jumping straight into why <a href="http://metamarkets.com/">Metamarkets</a> open
 sourced <a href="https://github.com/metamx/druid/wiki">Druid</a>, I thought I would give a
 brief dive into what Druid is and how it came about. For more details, check
 out the <a href="http://static.druid.io/docs/druid.pdf">Druid white paper</a>.</p>

 <h3 id="introduction">Introduction</h3>

 <p>We are lucky to be developing software in a period of extreme innovation.
 Fifteen years ago, if a developer or ops person went into his or her boss’s
 office and suggested using a non-relational/non-SQL/non-ACID/non-Oracle
 approach to storing data, they would pretty much get sent on their way. All
 problems at all companies were believed to be solved just fine using relational
 databases.</p>

 <p>Skip forward a few years and the scale, latency and uptime requirements of the
 Internet really started hitting the
 <a href="http://research.google.com/archive/spanner.html">Googles</a> and
 <a href="http://www.read.seas.harvard.edu/%7Ekohler/class/cs239-w08/decandia07dynamo.pdf">Amazons</a>
 of the world. It was quickly realized that some compromises needed to be made
 to manage the challenging data issues they were having in a cost-effective way.
 It was also finally acknowledged that different use cases might benefit from
 different solutions.</p>

 <p>Druid was born out of this era of data stores, purpose-built for a specific set
 of trade-offs and use cases. We believe that taking part in and keeping pace
 with this period of innovation requires more than a company. It requires a
 community.</p>

 <h3 id="so-what-are-druids-core-values">So What Are Druid&#39;s Core Values?</h3>

 <p>Druid was built as an analytics data store for Metamarkets’ as-it-happens,
 interactive SaaS platform targeted at the online advertising industry. It
 fundamentally needs to ingest tens of billions of events per day per customer
 and provide sub-second, interactive, slicing and dicing on arbitrary queries.
 It has to do this in an efficient and cost effective way.</p>

 <p>Values:
 - 24x7x365x10 (Hours/days, days/a week, days/year, years)
 - User speed responses (millis not micros) on arbitrary analytics queries
 - Billions of events per day per customer as they happen (fast append)
 - Cost-effective data management
 - Linear scale-out
 - Predictable responses
 - Community/Adoption wins</p>

 <p>Non-Values:
 - Not a key-value store
 - Not focused on fast update or delete</p>

 <p>We looked at a lot of options and many of them had some of these properties but none had all.</p>

 <h3 id="cost-is-no-joke">Cost Is No Joke</h3>

 <p>When looking at the success of data management platforms like Hadoop, it is
 important not to underestimate how important cost is. While Hadoop is powerful,
 it was certainly true that other platforms were managing huge amounts of data
 before its existence. One of Hadoop’s fundamental innovations was being able to
 manage that data for a much lower cost per gigabyte compared to existing
 solutions. This was achieved by a combination of the hardware it could run on,
 the flexible programming model, and of course, the fact that it’s open source
 and can be used for free.</p>

 <p>Druid also takes the value proposition of cost seriously. It compresses rolled
 up data to use as little CPU and storage space as it can. It also runs well on
 commodity boxes and is open source. The combination of these two factors make
 it a cost effective solution to user time querying of 100s of terabytes of
 data. This makes the difficult and expensive practical.</p>

 <h3 id="druid-today">Druid Today?</h3>

 <p>Druid has been in production living up to its core values at Metamarkets for a
 few years now. Since going open source, we’ve had the pleasure of seeing
 adoption in a number of different organizations and for different use cases.
 Not least of which culminated in co-presenting on <a href="http://www.youtube.com/watch?v=Dlqj34l2upk">how Netflix engineers use
 Druid</a> at Strata in February, 2013.
 It has proven to be an excellent platform, processing 10s of billions of
 events/day, storing 100s of TB of data, and providing fast, predictable
 arbitrary querying.</p>

 <p>So why did we open source it?</p>

 <h3 id="why-oss">Why OSS?</h3>

 <p>I&#39;m glad you asked. It might seem counter intuitive to open source something so
 valuable. We feel like we have some good reasoning.</p>

 <ul>
 <li>While we have some very specific use cases for Druid, we felt like it was
 broadly applicable. Opening it up helps us learn what those other use cases
 are.</li>
 <li>Having others put pressure on it from other verticals is an excellent way to
 keep the data store ahead of our needs. Since the platform is so important to
 us, we want to make sure it has momentum and life.</li>
 <li>We hope that by open sourcing it, we will get outside contributions both in
 code and ideas.</li>
 </ul>

 <p>Druid is a very important piece of the Metamarkets platform. That said, it will
 always be cheaper and easier for people to use the Metamarkets SaaS solution
 rather than building and managing a cluster oneself. However, for those who
 have use cases not directly covered by what Metamarkets offers, open source
 Druid helps users create software that can leverage the power of a real-time,
 scalable analytics-oriented data store.  Looking for more Druid information?
 <a href="http://metamarkets.com/product/technology/">Learn more about our core technology</a>.</p>

 <p><a href="http://www.flickr.com/photos/nengard/5755231610/">PHOTOGRAPH BY NICOLE C. ENGARD</a></p>

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	<h1>Meet the Druid and Find Out Why We Set Him Free</h1>
	<p class="text-muted">by <span class="author text-uppercase">Steve Harris</span> · April 26, 2013</p>

	<p>Before jumping straight into why <a href="http://metamarkets.com/">Metamarkets</a> open
	sourced <a href="https://github.com/metamx/druid/wiki">Druid</a>, I thought I would give a
	brief dive into what Druid is and how it came about. For more details, check
	out the <a href="http://static.druid.io/docs/druid.pdf">Druid white paper</a>.</p>

	<h3 id="introduction">Introduction</h3>

	<p>We are lucky to be developing software in a period of extreme innovation.
	Fifteen years ago, if a developer or ops person went into his or her boss’s
	office and suggested using a non-relational/non-SQL/non-ACID/non-Oracle
	approach to storing data, they would pretty much get sent on their way. All
	problems at all companies were believed to be solved just fine using relational
	databases.</p>

	<p>Skip forward a few years and the scale, latency and uptime requirements of the
	Internet really started hitting the
	<a href="http://research.google.com/archive/spanner.html">Googles</a> and
	<a href="http://www.read.seas.harvard.edu/%7Ekohler/class/cs239-w08/decandia07dynamo.pdf">Amazons</a>
	of the world. It was quickly realized that some compromises needed to be made
	to manage the challenging data issues they were having in a cost-effective way.
	It was also finally acknowledged that different use cases might benefit from
	different solutions.</p>

	<p>Druid was born out of this era of data stores, purpose-built for a specific set
	of trade-offs and use cases. We believe that taking part in and keeping pace
	with this period of innovation requires more than a company. It requires a
	community.</p>

	<h3 id="so-what-are-druids-core-values">So What Are Druid's Core Values?</h3>

	<p>Druid was built as an analytics data store for Metamarkets’ as-it-happens,
	interactive SaaS platform targeted at the online advertising industry. It
	fundamentally needs to ingest tens of billions of events per day per customer
	and provide sub-second, interactive, slicing and dicing on arbitrary queries.
	It has to do this in an efficient and cost effective way.</p>

	<p>Values:
	- 24x7x365x10 (Hours/days, days/a week, days/year, years)
	- User speed responses (millis not micros) on arbitrary analytics queries
	- Billions of events per day per customer as they happen (fast append)
	- Cost-effective data management
	- Linear scale-out
	- Predictable responses
	- Community/Adoption wins</p>

	<p>Non-Values:
	- Not a key-value store
	- Not focused on fast update or delete</p>

	<p>We looked at a lot of options and many of them had some of these properties but none had all.</p>

	<h3 id="cost-is-no-joke">Cost Is No Joke</h3>

	<p>When looking at the success of data management platforms like Hadoop, it is
	important not to underestimate how important cost is. While Hadoop is powerful,
	it was certainly true that other platforms were managing huge amounts of data
	before its existence. One of Hadoop’s fundamental innovations was being able to
	manage that data for a much lower cost per gigabyte compared to existing
	solutions. This was achieved by a combination of the hardware it could run on,
	the flexible programming model, and of course, the fact that it’s open source
	and can be used for free.</p>

	<p>Druid also takes the value proposition of cost seriously. It compresses rolled
	up data to use as little CPU and storage space as it can. It also runs well on
	commodity boxes and is open source. The combination of these two factors make
	it a cost effective solution to user time querying of 100s of terabytes of
	data. This makes the difficult and expensive practical.</p>

	<h3 id="druid-today">Druid Today?</h3>

	<p>Druid has been in production living up to its core values at Metamarkets for a
	few years now. Since going open source, we’ve had the pleasure of seeing
	adoption in a number of different organizations and for different use cases.
	Not least of which culminated in co-presenting on <a href="http://www.youtube.com/watch?v=Dlqj34l2upk">how Netflix engineers use
	Druid</a> at Strata in February, 2013.
	It has proven to be an excellent platform, processing 10s of billions of
	events/day, storing 100s of TB of data, and providing fast, predictable
	arbitrary querying.</p>

	<p>So why did we open source it?</p>

	<h3 id="why-oss">Why OSS?</h3>

	<p>I'm glad you asked. It might seem counter intuitive to open source something so
	valuable. We feel like we have some good reasoning.</p>

	<ul>
	<li>While we have some very specific use cases for Druid, we felt like it was
	broadly applicable. Opening it up helps us learn what those other use cases
	are.</li>
	<li>Having others put pressure on it from other verticals is an excellent way to
	keep the data store ahead of our needs. Since the platform is so important to
	us, we want to make sure it has momentum and life.</li>
	<li>We hope that by open sourcing it, we will get outside contributions both in
	code and ideas.</li>
	</ul>

	<p>Druid is a very important piece of the Metamarkets platform. That said, it will
	always be cheaper and easier for people to use the Metamarkets SaaS solution
	rather than building and managing a cluster oneself. However, for those who
	have use cases not directly covered by what Metamarkets offers, open source
	Druid helps users create software that can leverage the power of a real-time,
	scalable analytics-oriented data store. Looking for more Druid information?
	<a href="http://metamarkets.com/product/technology/">Learn more about our core technology</a>.</p>

	<p><a href="http://www.flickr.com/photos/nengard/5755231610/">PHOTOGRAPH BY NICOLE C. ENGARD</a></p>

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