The document compares Cloudera and Hortonworks, highlighting their similarities, such as being built on Apache Hadoop and providing strong security and support. It also outlines key differences, including Cloudera's commercial licensing and proprietary software offerings compared to Hortonworks' completely open-source model. Additionally, it touches on various big data technologies and trends in the industry.

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BIG DATA
advanced topics
Cloudera vs Hortonworks
MOLDOVAN Radu Adrian
Timisoara May 2016

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Who am I? :)
❏ passionate about technology
❏ 20 years of programming
using open source
❏ last 4 years in Big Data
❏ Big Data Architect @

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Cloudera and Hortonworks: The Similarities
- set on top of Apache Hadoop
- both are mature offering security
- provide paid consulting, training and services
- strong development communities
- master-slave architecture
- support MapReduce
- YARN as resource manager
- reducing the deployment time
- set on top of Apache Hadoop
- both are mature offering security
- provide paid consulting, training
and services
- strong development
communities
- master-slave architecture
- support MapReduce
- YARN as resource manager
- reducing the deployment time
The Similarities

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Cloudera and Hortonworks: The Differences
- a commercial license
(a free 60-day trial)
- reposition as “enterprise
data hub”
- 2008, Facebook, Google,
Oracle and Yahoo in 2008
- +400 customers
- founds $1.04B
- open source license is
completely free.
- positioned as Hadoop distro
- has no proprietary software
- 2011, Teradata
- Yahoo & Microsoft
- founds $248M
https://www.crunchbase.com

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Security Solutions
http://www.forbes.com/sites/gilpress/2016/03/14/top-10-hot-big-data-technologies/#7cd07887f26a
Hortonworks
Apache Ranger
Apache Knox
Apache Falcon
Cloudera
Project Rhino
Project Sentry

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HADOOP (HDFS) (C+H)
Res. Manager
Yarn (C+H)
Warehouse DB
Presto (H)
MapReduce
PIG(C+H)
Search Engines
SolrCloud (C+H)
Analytics
Columnar Store
Accumulo (C+H)
Impala(C)
Machine
Learning
Spark ML (C+H)
Mahout(H)
HBase(C+H)
Data Streaming
Storm(H)
Spark Streaming(C+H)
HIVE (C+H)
Tableau
Data Aggregation
Flume (C+H)
Msg Brokers +
Streams
Kafka (C+H)
COLLECT PROCESS STORE VISUALIZE
Data Loader
Sqoop (C+H)
Cluster ecosystem - VISUALIZE
In Memory
Spark (C+H)
Tez (H)
Logi
Jasper
Reports
D3
Pentaho*
Interactiv
e
Reporting
Crystal
Reports
Data
Governance
Atlas (H)

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Cloudera

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Cloudera Management Service

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Hortonworks

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Trends - Forbes report Q1 2016
http://www.forbes.com/sites/gilpress/2016/03/14/top-10-hot-big-data-technologies/#7cd07887f26a

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Big Data - Buzz words #TAGs
FAULT
TOLERANCE
DATA
LOCALITY
LAMBDA
ARCHITECTURE
CRUD => CRUD
SHARDING
REPLICATION
RESILIENT
SYSTEMS
DISRUPTIVE
TECHNOLOGIES
Cloud Computing
Internet of Things
Data Analytics

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Thank you!
Skype: r.moldovan