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From nathanm...@apache.org
Subject svn commit: r1663767 - in /storm/site: documentation/Powered-By.md publish/documentation/Powered-By.html
Date Tue, 03 Mar 2015 19:30:25 GMT
Author: nathanmarz
Date: Tue Mar  3 19:30:25 2015
New Revision: 1663767

URL: http://svn.apache.org/r1663767
Log:
update powered by

Modified:
    storm/site/documentation/Powered-By.md
    storm/site/publish/documentation/Powered-By.html

Modified: storm/site/documentation/Powered-By.md
URL: http://svn.apache.org/viewvc/storm/site/documentation/Powered-By.md?rev=1663767&r1=1663766&r2=1663767&view=diff
==============================================================================
--- storm/site/documentation/Powered-By.md (original)
+++ storm/site/documentation/Powered-By.md Tue Mar  3 19:30:25 2015
@@ -967,6 +967,46 @@ Through StreamAnalytix, the users can in
 
 <tr>
 <td>
+<a href="http://www.akazoo.com/en">Akazoo</a>
+</td>
+<td>
+<p>
+Akazoo is a platform providing music streaming services.  Storm is the backbone of all our
real-time analytical processing. We use it for tracking and analyzing application events and
for various other stuff, including recommendations and parallel task execution.
+</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.mapillary.com">Mapillary</a>
+</td>
+<td>
+<p>
+At Mapillary we use storm for a wide variety of tasks. Having a system which is 100% based
on kafka input storm and trident makes reasoning about our data a breeze.  
+</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.gutscheinrausch.de/">Gutscheinrausch.de</a>
+</td>
+<td>
+<p>
+We recently upgraded our existing IT infrastructure, using Storm as one of our main tools.
+Each day we collect sales, clicks, visits and various ecommerce metrics from various different
systems (webpages, affiliate reportings, networks, tracking-scripts etc). We process this
continually generated data using Storm before entering it into the backend systems for further
use.
+</p>
+<p>
+Using Storm we were able to decouple our heterogeneous frontend-systems from our backends
and take load off the data warehouse applications by inputting pre-processed data. This way
we can easy collect and process all data and then do realtime OLAP queries using our propietary
data warehouse technology.
+</p>
+<p>
+We are mostly impressed by the high speed, low maintenance approach Storm has provided us
with. Also being able to easily scale up the system using more machines is a big plus. Since
we're a small team it allows us to focus more on our core business instead of the underlying
technology. You could say it has taken our hearts by storm!
+</p>
+</td>
+</tr>
+
+<tr>
+<td>
 <a href="http://www.mercadolibre.com/">MercadoLibre</a>
 </td>
 <td>

Modified: storm/site/publish/documentation/Powered-By.html
URL: http://svn.apache.org/viewvc/storm/site/publish/documentation/Powered-By.html?rev=1663767&r1=1663766&r2=1663767&view=diff
==============================================================================
--- storm/site/publish/documentation/Powered-By.html (original)
+++ storm/site/publish/documentation/Powered-By.html Tue Mar  3 19:30:25 2015
@@ -76,7 +76,6 @@
     <p>Want to be added to this page? Send an email <a href="mailto:nathan.marz@gmail.com">here</a>.</p>
 
 <table class="table table-striped">
-
 <tr>
 <td>
 <a href="http://groupon.com">Groupon</a>
@@ -308,6 +307,7 @@ Alibaba is the leading B2B e-commerce we
 </td>
 </tr>
 
+
 <tr>
 <td>
 <a href="http://iQIYI.COM">iQIYI</a>
@@ -319,6 +319,7 @@ iQIYI is China`s largest online video pl
 </td>
 </tr>
 
+
 <tr>
 <td>
 <a href="http://www.baidu.com/">Baidu</a>
@@ -331,6 +332,17 @@ This project helps Ops to determine and
 </td>
 </tr>
 
+<tr>
+<td>
+<a href="http://www.yelp.com/">Yelp</a>
+</td>
+<td>
+<p>
+Yelp is using Storm with <a href="http://pyleus.org/">Pyleus</a> to build a platform
for developers to consume and process high throughput streams of data in real time. We have
ongoing projects to use Storm and Pyleus for overhauling our internal application metrics
pipeline, building an automated Python profile analysis system, and for general ETL operations.
As its support for non-JVM components matures, we hope to make Storm the standard way of processing
streaming data at Yelp.
+</p>
+</td>
+</tr>
+
 
 <tr>
 <td>
@@ -993,6 +1005,76 @@ Polecat uses Storm to run an application
 </p>
 </td>
 </tr>
+
+<tr>
+<td>
+<a href="https://www.skylight.io/">Skylight by Tilde</a>
+</td>
+<td>
+<p>Skylight is a production profiler for Ruby on Rails apps that focuses on providing
detailed information about your running application that you can explore in an intuitive way.
We use Storm to process traces from our agent into data structures that we can slice and dice
for you in our web app.</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.ad4game.com/">Ad4Game</a>
+</td>
+<td>
+<p>We are an advertising network and we use Storm to calculate priorities in real time
to know which ads to show for which website, visitor and country.</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.impetus.com/">Impetus Technologies</a>
+</td>
+<td>
+<p>StreamAnalytix, a product of Impetus Technologies enables enterprises to analyze
and respond to events in real-time at Big Data scale. Based on Apache Storm, StreamAnalytix
is designed to rapidly build and deploy streaming analytics applications for any industry
vertical, any data format, and any use case. This high-performance scalable platform comes
with a pre-integrated package of components like Cassandra, Storm, Kafka and more. In addition,
it also brings together the proven open source technology stack with Hadoop and NoSQL to provide
massive scalability, dynamic data pipelines, and a visual designer for rapid application development.</p>
+<p>
+Through StreamAnalytix, the users can ingest, store and analyze millions of events per second
and discover exceptions, patterns, and trends through live dashboards. It also provides seamless
integration with indexing store (ElasticSearch) and NoSQL database (HBase, Cassandra, and
Oracle NoSQL) for writing data in real-time. With the use of Storm, the product delivers high
business value solutions such as log analytics, streaming ETL, deep social listening, Real-time
marketing, business process acceleration and predictive maintenance.
+</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.akazoo.com/en">Akazoo</a>
+</td>
+<td>
+<p>
+Akazoo is a platform providing music streaming services.  Storm is the backbone of all our
real-time analytical processing. We use it for tracking and analyzing application events and
for various other stuff, including recommendations and parallel task execution.
+</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.mapillary.com">Mapillary</a>
+</td>
+<td>
+<p>
+At Mapillary we use storm for a wide variety of tasks. Having a system which is 100% based
on kafka input storm and trident makes reasoning about our data a breeze.  
+</p>
+</td>
+</tr>
+
+<tr>
+<td>
+<a href="http://www.gutscheinrausch.de/">Gutscheinrausch.de</a>
+</td>
+<td>
+<p>
+We recently upgraded our existing IT infrastructure, using Storm as one of our main tools.
+Each day we collect sales, clicks, visits and various ecommerce metrics from various different
systems (webpages, affiliate reportings, networks, tracking-scripts etc). We process this
continually generated data using Storm before entering it into the backend systems for further
use.
+</p>
+<p>
+Using Storm we were able to decouple our heterogeneous frontend-systems from our backends
and take load off the data warehouse applications by inputting pre-processed data. This way
we can easy collect and process all data and then do realtime OLAP queries using our propietary
data warehouse technology.
+</p>
+<p>
+We are mostly impressed by the high speed, low maintenance approach Storm has provided us
with. Also being able to easily scale up the system using more machines is a big plus. Since
we're a small team it allows us to focus more on our core business instead of the underlying
technology. You could say it has taken our hearts by storm!
+</p>
+</td>
+</tr>
 
 <tr>
 <td>



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