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Company	Scalding Use Case	Code
Twitter	We use Scalding often, for everything from custom ad targeting algorithms, market insight, click prediction, traffic quality to PageRank on the Twitter graph. We hope you will use it too!	-
Etsy	We're starting to use Scalding alongside the JRuby Cascading stack described here. More to come as we use it further.	-
eBay	We use Scalding in our Search organization for ad-hoc data analysis jobs as well as more mature data pipelines that feed our production systems.	-
Snowplow Analytics	Our data validation & enrichment process for event analytics is built on top of Scalding.	GitHub
PredictionIO	Machine-learning algorithms build on top of Scalding.	GitHub
Gatling	We've just rebuilt our reports generation module on top of Scalding. Handy API on top of an efficient engine.	GitHub
SoundCloud	We use Scalding in our search and recommendations production pipelines to pre and post-process data for various machine learning and graph-based learning algorithms. We also use Scalding for ad-hoc and regular jobs run over production logs for things like click tracking and quality evaluation on search results and recommendations.	-
Sonar	Our platform is built on Hadoop, Scalding, Cassandra and Storm. See Sonar's job listings.	-
BSkyB	Sky is using Scalding on Hadoop and utilizing HBase through the SpyGlass library for statistical analysis , content related jobs and reporting.	-
LivePerson	LivePerson's data science group is using Scalding on Hadoop, to develop machine learning algorithms and big data analysis.	-
Sharethrough	Sharethrough uses Scalding throughout our production data infrastructure. We use it for everything from advertiser reporting and ML feature engineering, to ad targeting and click forecasting.	-
LinkedIn	Scalding is being used at LinkedIn both at the Product Data Science team and the Email Experience team.	-
Stripe	Stripe uses Scalding for ETL and machine learning to support our analytics and fraud prevention teams.	-
Move	Move uses Scalding on Hadoop for advanced analytics and personalization for Realtor.com and its mobile real estate apps.	-
Tapad	Tapad uses scalding to manage productized analytics and reporting, internal ad-hoc data mining, and to support our data science team's research and development efforts.	-
Tumblr	Tumblr uses scalding as a sort of MVC framework for Hadoop. Applications include recommendations/discovery, spam detection, and general ETL.	-
Elance	Elance uses scalding for constructing data sets for search ranking, recommendation systems, other modeling problems.	-
Commonwealth Bank Of Australia	Commbank uses scalding as a key component within its big data infrastructure. Both on the ETL side, and for the implementation of data science pipelines for building various predictive models	Github
Sabre Labs	Sabre Labs uses Scalding for ETL and ad hoc data analysis of trip information.