Hadapt Interactive Query Enabling the first interactive applications on Hadoop

Company  Snapshot  

o  Founded in July, 2010

o  $17M in Capital Raised from Bessemer, Norwest, and Atlas

o  40 people, based in Cambridge, MA o  Based on the HadoopDB research project in the Yale Computer

Science Department by Daniel Abadi, et. al. o  Industry’s only Big Data analytic platform natively integrating

SQL with Apache Hadoop

©  Hadapt  2012.  Confiden6al  and  Proprietary.     2  2/28/13  

The  Winds  of  Change…  

Legacy  Technologies  Were  Not  Designed  For  The  Requirements  Of  This  New  World  

  Scalability   Performance   Total Cost of Ownership

2/28/13   ©  Hadapt  2012.  Confiden6al  and  Proprietary.     4  

Enter  Hadoop  

•  Stop  throwing  data  away  •  Enable  advanced  analy6cs  •  Save  money  in  the  process  

2/28/13   ©  Hadapt  2012.  Confiden6al  and  Proprietary.     5  

What’s  standing  in  the  Way  of  Hadoop  Accelera6ng  it’s  Way  into  Produc6on?  

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Poor  Batch  Processing  Performance  

Lack  of  SQL  Creates  a  Skills  Gap  

Ready  to  use  Analysis  

Func6ons/Apps  

What’s  standing  in  the  Way  of  Hadoop  Accelera6ng  it’s  Way  into  Produc6on?  

2/28/13   ©  Hadapt  2012.  Confiden6al  and  Proprietary.     7  

Poor  Batch  Processing  Perform

ance  

Lack  of  SQ

L  Creates  a  Skills  G

ap  

Ready  to  use  Analysis  

Func6ons/Apps  

Hadapt  makes  Hadoop  Fast  and  Accessible  

2/28/13   ©  Hadapt  2012.  Confiden6al  and  Proprietary.     8  

Accelera6ng  Hadoop  into  Produc6on  Environments  by:  •  Making  queries  interac6ve  •  Making  it  SQL  friendly  for  off  the  shelf  tools  /  applica6ons  •  Integra6ng  advanced  analy6cs  packages  from  the  Hadoop  ecosystem  via  SQL  •  Accelera6ng  6me  to  analysis  while  reducing  complexi6es  and  cost    

Hadoop  Distribu6ons   NoSQL  Plaaorms  -­‐  Cloudera  -­‐  Hortonworks  -­‐  MapR  

-­‐  Couchbase  -­‐  Mongo  -­‐  Cassandra  

2/28/13   ©  Hadapt  2012.  Confiden6al  and  Proprietary.     9  

How  Customers  Benefit  Interac6ve  App  Use  Cases  

Fraud  Detec6on  

Security  Log  File  Analysis  

Aeribu6on  Analysis  

Funnel  Analysis  

Financial  Services  Companies   E-­‐Commerce/AdTech/Media  Companies  

Sen6ment  Analysis