The Democratization of Search

Over the past year and a half, I’ve watched ElasticSearch grow from a seemingly part-time code experiment into a thriving ecosystem. Not only has the number of client libraries grown from 1 to over 25 (and counting!); it’s now a commercially sponsored project to the tune of $34 million (a $10M series A and a $24M series B) with 200,000 downloads a month.

Search is the touchstone of the Internet; without search the Internet wouldn’t be all that useful. Google’s meteoric rise and its resultant eponymous name for search is clear evidence as to the importance of search. Search, however, hasn’t always been that easy nor affordable to implement.
Before the likes of open source projects like Lucene, implementing search in an application involved an expensive commercial product or a series of SQL like statements that were never really good enough. Lucene, however, isn’t a simple hobbyist’s pursuit. Lucene requires a lot of expertise; what’s more, successful projects within the Lucene ecosystem, like Solr lack a key feature that is defining modern architectures: distributed.

The continued low cost of storage combined with cheap rent-able infrastructures like AWS has made it convenient to store a plethora of data, thus bringing to bear the importance that applications must support searching vast amounts of data, do it quickly, and affordably. This is where ElasticSearch shines.

ElasticSearch sits on top of Lucene and adds not only a simple API for adding and searching content, but does it in a distributed manner. With infinitesimal arm grease, you can set up a search cluster that smears your data and resultant queries across a series of nodes. Not only is this resultant architecture fast, but it’s easy to set up and extremely affordable as search nodes can run on commodity hardware. In essence, ElasticSearch brings search to the masses.

Google and its resultant ease of search has changed the mindset of application users. Searching content is a presumed feature and if you don’t provide it, you’re already a few steps behind your competition. ElasticSearch is clearly a path to constructing a viable, easy to install, affordable, distributed search infrastructure for any application. If you don’t believe me, take a look at some of the innovative companies with substantial amounts of users using it: Github, foursquare, and Stack Overflow are just a few.

Reference: The Democratization of Search from our JCG partner Andrew Glover at the The Disco Blog blog.
Related Whitepaper:

Functional Programming in Java: Harnessing the Power of Java 8 Lambda Expressions

Get ready to program in a whole new way!

Functional Programming in Java will help you quickly get on top of the new, essential Java 8 language features and the functional style that will change and improve your code. This short, targeted book will help you make the paradigm shift from the old imperative way to a less error-prone, more elegant, and concise coding style that’s also a breeze to parallelize. You’ll explore the syntax and semantics of lambda expressions, method and constructor references, and functional interfaces. You’ll design and write applications better using the new standards in Java 8 and the JDK.

Get it Now!  

Leave a Reply

seven + 1 =

Java Code Geeks and all content copyright © 2010-2014, Exelixis Media Ltd | Terms of Use | Privacy Policy
All trademarks and registered trademarks appearing on Java Code Geeks are the property of their respective owners.
Java is a trademark or registered trademark of Oracle Corporation in the United States and other countries.
Java Code Geeks is not connected to Oracle Corporation and is not sponsored by Oracle Corporation.
Do you want to know how to develop your skillset and become a ...
Java Rockstar?

Subscribe to our newsletter to start Rocking right now!

To get you started we give you two of our best selling eBooks for FREE!

Get ready to Rock!
You can download the complementary eBooks using the links below: