• MongoDBandHadoopcanreplacerelationaldatabasemanagementsystems(RDBMS),suchasOracle,SQLServer,DB2andMySQL.Thishasbeenbrandedas“NoSQL”astheydonotgenerallyuseSQL.

• RelationalDatabaseSystemsweredesignedwhendiskspaceandCPUweremorepre-ciouscommoditiesthantheyaretoday.MongoDBandHadoopexploitthesehighlyavail-ablecommoditiesandscalewithlesseffort.MongoDBandHadoopdistributetheloadacrossmultiplemachinesmoreefficiently.

• NoSQL/BigDatasystemsrequirelessworktoscaletolargeconcurrencyordatasets• WhileNoSQLsolutionsdonottypicallysupportRDBMSstyletransactions,theysupport

othermethodsofdataintegrity.• HadoophasbeeninstalledinlargersystemsthanMongoDB.• MongoDBismoreefficientthanHadoop.• Generally,MongoDBisoptimalfortypicalwebsitesandCRUD(Create,Retrieve,Update,

Delete)or“transactional”applications.• Generally,HadoopreplacesOLAPorreportingsystems.• Hadoopdoesnotprovidehighavailability,butothervendorshavederivedsolutions

whichdo.• MongoDBprovideshighavailability,thismaymakeexpensivesolutionssuchasOracle

RACorSQLServerclusteringunnecessary.• InsomecasesHadoopandMongoDBareusedtogetherinthesamesystem.

NoSQL,BigData:MongoDBvsHadoop

Technical

Technology

Hadoop MongoDB

Largest System

Typical Usage

Business Structure

Best Feature

Biggest Limitation

Maturity

Complexity

Java C ++ native code

4000 nodes, 100 TB 100 nodes, 5 TB

reporting analytics, “map-reduce” on large datasets

high volume systems, moderately sized data sets

Non-profit (Apache) backed by multiple vendors

For-profit (10gen)

Flexibility, map-reduce implementation

light weight, better performance

single point of failureeach node is single-threaded

Widely deployed, but less productized

Newer, less widely deployed, but more productized

High Moderate

MongoDBvsHadoopBig Solutions for Big Problems

ExecutiveSummary

Organizational

MongoDB

Hadoop

• Adobedobe• EBay• Facebook• FOXAudienceNetwork• Hulu• LinkedIn• NAVTEQ• TheNewYorkTimes

KeyInstallations

• 10gen• SAP• RedHat• FlybridgeCapitalPartners• SequoiaCapital• UnionSquareVentures

• Craigslist• UKGovernment(NationalArchives,UK.gov)• Shutterfly• Forbes• TheNewYorkTimes• Inuit• FourSquare• LexisNexis

KeyInstallationsKeyBackers

KeyBackers

• Cloudera(vendor)• HortonWorks(vendor)• IBM• Yahoo!

BottomLineNewsystemswhichrequirehigherendscalabilitycanutilizeMongoDBand/orHadooptoscalewithlesseffort.MongoDBcanprovidehighavailabilityatafractionofthecostofOracleRACandsimilarsolutions.Lackofstandardizationinthisareawillrequirewritingspecificallytotheirinterface.ThetechnologyisnotasmatureasRDBMSsoftware,butalreadywidelydeployedandreadyforusebymainstreambusi-nesses.Differentcapabilitiesineachoftheseimplementationsmakethemmorereadilyappropriatetoreplacedifferenttypesofsystems(OLAPvsOTAP).AwiderecosystemaroundApacheHadoopispositivebutsinglevendorsupportofMongoDBmaymakeabusiness/supportarrangementmorestraightforward.BothonsiteinstallationsandCloudPlatformasaService(PaaS)usesarepossiblewithbothMongoDBandHadoop.Seeourdetailedreportathttp://osintegrators.com/MongoAndHadoop

www.osintegrators.com345W.MainSt.Suite201Durham,NC27701(919)321-0119info@osintegrators.com

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