m7 - enterprise-grade nosql

1 ©MapR Technologies -‐ Confiden6al

M7 – Enterprise-‐Grade NoSQL


One Pla9orm for Big Data

…

99.999% HA

Data Protec6on

Disaster Recovery

Scalability &

Performance Enterprise Integra6on

Mul6-‐tenancy

Map Reduce

File-‐Based Applica6ons SQL Database Search Stream

Processing

Batch Interac6ve Real-‐6me

Batch Log file Analysis

Data Warehouse Offload Fraud Detec6on

Clickstream Analy6cs

Real-‐Time Sensor Analysis “TwiUerscraping”

Telema6cs Process Op6miza6on

InteracEve Forensic Analysis Analy6c Modeling BI User Focus


One Pla9orm for Big Data

…

99.999% HA

Data Protec6on

Disaster Recovery

Scalability &

Performance Enterprise Integra6on

Mul6-‐tenancy

Map Reduce

File-‐Based Applica6ons SQL Search Stream

Processing

Batch Interac6ve Real-‐6me

Batch Log file Analysis

Data Warehouse Offload Fraud Detec6on

Clickstream Analy6cs

Real-‐Time Sensor Analysis “TwiUerscraping”

Telema6cs Process Op6miza6on

InteracEve Forensic Analysis Analy6c Modeling BI User Focus

Database


M7 – Enterprise-‐Grade NoSQL on Hadoop

§  NoSQL Columnar Store §  HBase API §  Integrated with Hadoop

HBase

JVM

HDFS

JVM

ext3/ext4

Disks

Other Distros

Tables/Files

Disks

MapR M7


Performance Easy Administra6on

Tradeoffs with Other NoSQL SoluEons

Con6nuous low latency with horizontal scaling

Easy day-‐to-‐day management with minimal learning curve

24x7 applica6ons with strong data consistency

Reliability


Reliability Easy Administra6on Performance Performance Reliability Easy Administra6on

Bullet-‐proof NoSQL with Zero AdministraEon

Benefit Features

High Performance Over 1 million ops/sec with 10 node cluster

ConEnuous Low Latency No I/O storms, No compac6ons

24x7 ApplicaEons Instant recovery, online schema modifica6on, snapshots, mirroring

Zero AdministraEon No processes to manage, automated splits, self-‐tuning

High Scalability 1 trillion tables

Low TCO Files and tables on one plaeorm


M7: Tables for Developers

•  Users can create and manage their own tables –  Unlimited # of tables –  First copy local

•  Tables can be created in any directory –  Tables count towards volume and user quotas

•  No admin interven6on needed –  Perform tasks on the fly –  No stopping/restar6ng of servers

•  Automa6c data protec6on and disaster recovery –  Users can recover from snapshots/mirrors on their own


M7: Volume Based Data Management


Case Study – 24x7 ApplicaEons

Web 2.0 company that op6mizes email, mobile & social campaigns

•  42 hours of compac6on every weekend

•  Long cold-‐starts •  “Engineering resources stuck fixing HBase problems”

•  No compac6ons •  Instant recovery •  Easy development and administra6on

Service Disrup6ons 24x7 Up6me

Apache HBase


Case Study – Cost EffecEve Scalability

Managed Security Services company that provides solu6ons for data security and compliance

•  Limited analy6cal tools •  No machine learning capability

•  Extended analy6cal eco-‐system: Machine Learning, Solr and Hive

•  Similar Reliability

Expensive Data Store Cost Effec6ve Scalability

ORACLE


þ

Case Study – Consistent Superior Performance

Cloud-‐based predic6ve analy6cs plaeorm

•  Compac6ons •  Manual administra6on •  Poor reliability

•  No Compac6ons •  Zero administra6on •  Strong consistency •  2x Cassandra performance •  3x HBase performance

ý

Apache HBase Cassandra

•  Compac6ons •  Manual administra6on •  Eventual consistency

Sociocast conducted a POC with the three solu6ons

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YCSB Benchmark (ops/sec/node)

MapR 3.0 (M7)

CDH 4.2.0 (HBase) M7 Advantage

50% read, 50% update 4227 1695 2.5x

95% read, 5% update 3323 602 5.5x

Read 5018 764 6.6x

Scan (50 rows) 922 161 5.7x

Hardware ConfiguraEon

CPU : Intel® Xeon® CPU E5645 2.40GHz 12 cores x2 RAM : 48 GB Data Disk : 12x 3TB (7200 rpm) Size – record size = 1k, data size = 2TB OS : CentOS Release 6.2 (Final)

10-‐Node Cluster

High Performance across Varying Workloads


YCSB Benchmark (ops/sec/node)

MapR 3.0 (M7)

CDH 4.2.1 (HBase) M7 Advantage

50% read, 50% update 6188 2547 2.4x

95% read, 5% update 13064 2660 4.9x

Read 18840 1605 11.8x

Scan (50 rows) 1135 116 9.8x

Hardware ConfiguraEon

CPU : Intel® Xeon® CPU E5620 2.40GHz 8 cores x2 Memory: 24 GB Data Disk : 1x 1.2TB – Fusion I/O ioDrive2 Size – record size = 1k, data size = 600GB OS : CentOS Release 6.3 (Final)

5-‐Node Cluster

10x Faster Reads and Scans with Flash Memory


M7 OTHERS 99.999% High Availability ü  X

Instant Recovery from Failures ü  X Con6nuous Low Latency (No Compac6ons) ü  X Zero Administra6on (No Processes to Manage, Self-‐tuning) ü  X Online Data Protec6on (Snapshots, Mirroring) ü  X Scalability (Number of Tables Supported) Trillion Hundreds

MapR Advantages

m7 - enterprise-grade nosql

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