SlideShare a Scribd company logo
Ashish Thusoo
Founder & CEO
Joydeep Sen Sarma
Founder & CTO
Qubole: Who we are
Expertise
Self-Managing Hadoop
Infrastructure
=
Mission
Qubole: Who uses it
• Adtech
• Media & Entertainment
• Healthcare
• Retail
• eCommerce
• Manufacturing
• Born in Cloud
• Commitment to Public Cloud
• Data Driven
• SMB…but large scale data
• Lack Hadoop Skills
• Analysts & scientist need acces
2014 Usage Statistics for Qubole on AWS:
• Total QCUH processed in 2014 = 40.6 million
• Total nodes managed in 2014 = 2.5 million
• Total PB processed in 2014 = 519
Operation
s Analyst
Marketing
Ops
Analy
st
Data
Architec
t
Busine
ss
Users
Product
Support
Custome
r Support
Develop
er
Sales
Ops
Product
Manager
s
Easy of use
for anyone
Unified Experience for all Big Data Users
Qubole Cluster Set up with AWS Credentials
Qubole Cluster Settings
Qubole Query Types
Qubole Query Workbench
Managed Service
• Auto Scaling
• Spot Pricing
• No Opex
• Redundant Clusters
• Data Security
Single Unified Interface
• Rich Unified Experience
• Data Discovery tool
• Query Templates
• Administration and Monitoring
Performance Optimizations
• Overall better performance than other
Hadoop clusters in the cloud
Automation
• Workflow, Scheduler
• SDK
Support
• 24 X 7 deep expertise support
Why Customers Choose Qubole
Qubole: Case Study
S3 Raw Data EMR Transient
Batch
processing
On-Demand
Analytics
Cluster
AWS Glacier Archive
S3 Staged Data AWS Redshift
Batch
Processing
Ad-Hoc Raw data Analytics
High Performance
Ad-Hoc Analytics
Ashish Thusoo, CEO & Co-Founder
Michael Mersch, BD / Channel Sales
Question & Answer SessionQuestion & Answer Session

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Nw qubole overview_033015

Editor's Notes

  1. Founders are world class engineers, Team is from world class orgs. Lots of significant contributions to open source solutions in the big data world. As of Q1,2015 we have 50+ employees and are on series B with 20M in funding. 40+ customers paying, fast growing MRR. Adtech, M&E, Retail are three primary verticals. Problem we are addressing is a.) a lack of skills in big data ecosystem of solutions. B.) complex infrastructure required for big data. Mission was to provide a self-service infrastructure, self-managing infrastructure for big data.
  2. Two-Section
  3. Multiple Logos Slide
  4. Two-Slide Comparison
  5. Three Section
  6. Single Image/Sign Off Slide