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Page 1: Qubole on Azure4cti9u1qldo011vlvp4eutwnxf4-wpengine.netdna-ssl.com/... · Cloud native q Born in the cloud and designed for the cloud. Takes full advantage of Azure’s inherent agility,

QuboleonAzureDATASHEET

Foundedin2011by thepioneersofBig-DataatFacebookandthecreatorsofApacheHive,Quboleis

thefastestgrowingBig-Data-as-a-Servicecompanyrunningonpublicclouds.Itsflagshipproduct,

QuboleDataService(QDS),nowleveragestheremarkableperformance,elasticityandcost

efficiencyofAzuretodelivergreatinsightsintoyourdataatafractionofthecostoftheleadingon-

prem andclouddataplatforms.

QuboleDataService

QDSisabig-data-as-a-serviceplatformthatservesasaunifiedinterfaceforperformingthemyriadofusecasesandworkloadsthatadatadrivenorganizationwillface.QDSautomates,controlsandorchestratesyourbigdataworkloadssothatyoucanoptimizeperformance,costandscale.

ASinglePlatformforAnyUseCaseETL&ReportinglAdHocQuerieslMachineLearninglStreaming lVerticalApps

OpenSourceEngines,OptimizedfortheCloud

NativeIntegrationwithAzureLeverages theAzureplatform’sspeedandperformance.

BuiltforAnyonewhoUsesDataAnalystslDataScientistslDataEngineerslDataAdmins

Azure andQubole

Agility,scaleandelasticity

Nativeintegration withAzurecomputeandBlobstorageq Separatescomputeandstorage,allowingforadvantagesinelasticity,flexibility,andcost.

Cloud nativeq Borninthecloud anddesignedforthecloud. TakesfulladvantageofAzure’sinherent

agility,adaptabilityandcost-efficiency

q Auto-scalingandclusterlifecyclemanagementfor atrueself-managinginfrastructure

q Advancedpolicy-baseduserandaccountmanagement

IntegrateswithAzureservicesq Built-indatabaseconnector toSQLServer.

q Integrationwith Office365,PowerBIandotherdataanalysistoolsthroughODBC.

q PlannedintegrationwithAzureDataLake

Page 2: Qubole on Azure4cti9u1qldo011vlvp4eutwnxf4-wpengine.netdna-ssl.com/... · Cloud native q Born in the cloud and designed for the cloud. Takes full advantage of Azure’s inherent agility,

FormoreinformationContact:

[email protected]

TryQDSforfree:https://azure.qubole.com/users/sign_up

MaximizeproductivityandreducecomplexitywithautomatedClusterLifecycleManagement

Controlcosts– payonlyforwhatyouusewithAuto-scalingandautomatedClusterLifecycleManagement

Controlmixedworkloads,multipleclustersanddifferentengineswithasinglecontrolpanelorRESTAPI

DataEngineersandDataAdmins

Fasterexploration&iterationwithanagileinfrastructure

Builttoadoptexisting,new&futuretechnologies–novendorlock-in

Improveproductivitywithacollaborativeplatform

AnalystsandDataScientists

QuboleandAzure:enablingthedata-drivenenterpriseQDSrunningonAzurecanfunctionasapowerfulcatalystinthetransitiontoadata-drivenorganization.First,itpromoteswidespreadenduseradoptionbyhidingtheinherentcomplexityofbig-datatechnologiesfromanalystsanddatascientists,while improvingcollaboration.Seconditallowsdataadministratorstodefinedataaccessandclustermanagementpoliciesinordertomaximizesecurityandperformance,whileminimizingcosts.Lastly,itexposesitsfunctionalitythroughacompletesetofRESTAPIssothatdataengineersanddeveloperscaneasilyembeddataanalyticscapabilitieswithinexistingandnewapplications.

• Bestmachine configurationfor theworkload• BestEnginefortheworkload• Ondemand andelastic;automaticallyscaleup

ordown

• Initialprovisioninginmin/hours,notmonths• Changeconfigurations dynamically• Compute andStoragescaleindependently

• Payonlyforwhatyouactuallyuse• Reduce operationandmanagementcost

QuboleonAzure:deliveringthequintessentialcloudapplication

Adaptability

Agility

CostEfficiency

ClusterLifecycleManagement:Clusters areautomatically terminatedwhenno longerneeded

34x

Autoscaling:Nodesareautomaticallyaddedand terminatedtoadapttodemand

Average lifetimeofaQubolecluster

Averagegrowthin#ofnodes ofaQubolecluster


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