SlideShare a Scribd company logo
®
© 2015 MapR Technologies 1
®
© 2015 MapR Technologies
Steve Wooledge, VP Product Marketing
Feb 18-20
®
© 2015 MapR Technologies 2
Empowering “as-it-happens”
businesses by speeding up the
data-to-action cycle
®
®
© 2015 MapR Technologies 3
Top-Ranked NoSQL
Top-Ranked Hadoop
Distribution
Top-Ranked SQL-on-Hadoop
Solution
®
®
© 2015 MapR Technologies 4
Goals of This Session
Insights to key factors for estimating
total cost of Hadoop ownership
Demo -
Online TCO Calculator for Hadoop
Help understand the differences in
Hadoop distros
®
© 2015 MapR Technologies 5
Background – Why & How to Do TCO Analysis?
Operations teams need to forecast
size, staffing, and facility
requirements
There are many hidden costs for
Apache Hadoop
Not all Hadoop distributions are
created equally
®
© 2015 MapR Technologies 6
Online TCO Calculator for Hadoop
Goals of online TCO calculator
–  Simple and self-service
–  Credible – detailed variables
–  Educate on differences
based on FACTS
–  Social and sharable
What it compares
–  HDFS-based distributions vs. MapR Data Platform-based distribution
®
© 2015 MapR Technologies 7
TCO Calculator for Hadoop
2 Total Hardware Costs
1 3-Year Total Cost of Ownership
4 Total Staffing Expenses
3
Environmentals
(Power, Space, Cooling)
Key Outputs for Customer
TB of data
# of files
% growth of data
®
© 2015 MapR Technologies 8
Key Variables and Assumptions Taken Into Account
Hadoop FTE costs,
admin
$130k
per year
# of files /
NameNode
100M
Environmentals
(cost of electricity, rack
height, cost of floor space)
Discount rate on
money
10%
Data compression
ratios
3x
Software license/
support costs
$4k
per node
Cost and size of
hardware node
$9k
per node
®
© 2015 MapR Technologies 9© 2015 MapR Technologies
®
Demonstration – Online TCO Calculator
®
© 2015 MapR Technologies 10
®
© 2015 MapR Technologies 11© 2015 MapR Technologies
®
Why the Differences in Cost?
®
© 2015 MapR Technologies 12
Hard Costs: Hardware + Environmentals
Architectural differences between MapR and HDFS-based distributions imply:
hardware required + maintenance, environmentals and labor costs
®
© 2015 MapR Technologies 13
Soft Costs: Labor
HDFS distros need more actual physical resources (servers) and more
resources to manage the complexity of HDFS-based system files. This implies:
staffing required with MapR
®
© 2015 MapR Technologies 14
Key Drivers of the MapR TCO Advantage
MapR No-NameNode Architecture
–  HA without any special-purpose
hardware for NameNodes
–  “Unlimited” file support greatly
reduces hardware
Automatic file compression
–  MapR compresses 2-3x depending on
file type
–  Reduces storage, but also reduced
network traffic and increases
performance
*Not reflected in the TCO model
Multi-tenancy*
–  Fine-grained resource
management squeezes more
efficiency from hardware
–  Reduces # of clusters for
multiple applications & groups
Higher performance*
–  2-7x higher throughput
–  Less hardware for same
workload
1
2
3
4
®
© 2015 MapR Technologies 16
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
No-NameNode Architecture
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
DataNode
NameNode
A B C D E FAAA BBBB CCC DDD EEE FFF
Up to 1T files (> 5000x advantage)
Significantly less hardware & OpEx
Higher performance
No special config to enable HA
Automatic failover & re-replication
Metadata is persisted to disk
®
© 2015 MapR Technologies 17
MapR: Fast and Dependable Hadoop with Lowest TCO
Cost comparison for a 500 TB cluster vs HDFS-based distro’s
Online TCO Calculator for Hadoop: www.mapr.com/tco
®
© 2015 MapR Technologies 18
$50M$50Min Free Training
®
© 2015 MapR Technologies 19
Q&A
@mapr maprtech
swooledge@mapr.com
Engage with us!
MapR
maprtech
mapr-technologies

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The TCO Calculator - Estimate the True Cost of Hadoop

  • 1. ® © 2015 MapR Technologies 1 ® © 2015 MapR Technologies Steve Wooledge, VP Product Marketing Feb 18-20
  • 2. ® © 2015 MapR Technologies 2 Empowering “as-it-happens” businesses by speeding up the data-to-action cycle ®
  • 3. ® © 2015 MapR Technologies 3 Top-Ranked NoSQL Top-Ranked Hadoop Distribution Top-Ranked SQL-on-Hadoop Solution ®
  • 4. ® © 2015 MapR Technologies 4 Goals of This Session Insights to key factors for estimating total cost of Hadoop ownership Demo - Online TCO Calculator for Hadoop Help understand the differences in Hadoop distros
  • 5. ® © 2015 MapR Technologies 5 Background – Why & How to Do TCO Analysis? Operations teams need to forecast size, staffing, and facility requirements There are many hidden costs for Apache Hadoop Not all Hadoop distributions are created equally
  • 6. ® © 2015 MapR Technologies 6 Online TCO Calculator for Hadoop Goals of online TCO calculator –  Simple and self-service –  Credible – detailed variables –  Educate on differences based on FACTS –  Social and sharable What it compares –  HDFS-based distributions vs. MapR Data Platform-based distribution
  • 7. ® © 2015 MapR Technologies 7 TCO Calculator for Hadoop 2 Total Hardware Costs 1 3-Year Total Cost of Ownership 4 Total Staffing Expenses 3 Environmentals (Power, Space, Cooling) Key Outputs for Customer TB of data # of files % growth of data
  • 8. ® © 2015 MapR Technologies 8 Key Variables and Assumptions Taken Into Account Hadoop FTE costs, admin $130k per year # of files / NameNode 100M Environmentals (cost of electricity, rack height, cost of floor space) Discount rate on money 10% Data compression ratios 3x Software license/ support costs $4k per node Cost and size of hardware node $9k per node
  • 9. ® © 2015 MapR Technologies 9© 2015 MapR Technologies ® Demonstration – Online TCO Calculator
  • 10. ® © 2015 MapR Technologies 10
  • 11. ® © 2015 MapR Technologies 11© 2015 MapR Technologies ® Why the Differences in Cost?
  • 12. ® © 2015 MapR Technologies 12 Hard Costs: Hardware + Environmentals Architectural differences between MapR and HDFS-based distributions imply: hardware required + maintenance, environmentals and labor costs
  • 13. ® © 2015 MapR Technologies 13 Soft Costs: Labor HDFS distros need more actual physical resources (servers) and more resources to manage the complexity of HDFS-based system files. This implies: staffing required with MapR
  • 14. ® © 2015 MapR Technologies 14 Key Drivers of the MapR TCO Advantage MapR No-NameNode Architecture –  HA without any special-purpose hardware for NameNodes –  “Unlimited” file support greatly reduces hardware Automatic file compression –  MapR compresses 2-3x depending on file type –  Reduces storage, but also reduced network traffic and increases performance *Not reflected in the TCO model Multi-tenancy* –  Fine-grained resource management squeezes more efficiency from hardware –  Reduces # of clusters for multiple applications & groups Higher performance* –  2-7x higher throughput –  Less hardware for same workload 1 2 3 4
  • 15.
  • 16.
  • 17.
  • 18. ® © 2015 MapR Technologies 16 DataNode DataNode DataNode DataNode DataNode DataNode DataNode DataNode DataNode No-NameNode Architecture DataNode DataNode DataNode DataNode DataNode DataNode DataNode DataNode DataNode NameNode A B C D E FAAA BBBB CCC DDD EEE FFF Up to 1T files (> 5000x advantage) Significantly less hardware & OpEx Higher performance No special config to enable HA Automatic failover & re-replication Metadata is persisted to disk
  • 19. ® © 2015 MapR Technologies 17 MapR: Fast and Dependable Hadoop with Lowest TCO Cost comparison for a 500 TB cluster vs HDFS-based distro’s Online TCO Calculator for Hadoop: www.mapr.com/tco
  • 20. ® © 2015 MapR Technologies 18 $50M$50Min Free Training
  • 21. ® © 2015 MapR Technologies 19 Q&A @mapr maprtech swooledge@mapr.com Engage with us! MapR maprtech mapr-technologies