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A cloud services cheat sheet for AWS, Azure, and Google Cloud

DECEMBER 2020A Cloud services cheat sheet for AWS, Azure, and Google CloudEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEC loud/DevOps Handbook HOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 2 EDITOR'S NOTEA Cloud services cheat sheet for AWS, Azure and Google Cloud TREVOR JONES, SITE EDITORAWS, MICROSOFT AND Google each offer well over 100 Cloud services . It's hard enough keeping tabs on what one Cloud offers, so good luck trying to get a handle on the products from the three major trying to compare what's available in each Cloud can quickly get convoluted, since naming conventions vary by vendor and service.

Data warehousing Amazon Redshift Azure Synapse Analytics BigQuery ETL AWS Glue, Amazon Kinesis Data Firehose, Amazon SageMaker Data Wrangler Azure Data Factory Cloud Data Fusion, Dataflow, Dataproc Hosted Hadoop/Spark Amazon EMR Azure HDInsight Dataproc Managed search Amazon CloudSearch, Amazon Elasticsearch Service, Amazon Kendra

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Transcription of A cloud services cheat sheet for AWS, Azure, and Google Cloud

1 DECEMBER 2020A Cloud services cheat sheet for AWS, Azure, and Google CloudEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEC loud/DevOps Handbook HOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 2 EDITOR'S NOTEA Cloud services cheat sheet for AWS, Azure and Google Cloud TREVOR JONES, SITE EDITORAWS, MICROSOFT AND Google each offer well over 100 Cloud services . It's hard enough keeping tabs on what one Cloud offers, so good luck trying to get a handle on the products from the three major trying to compare what's available in each Cloud can quickly get convoluted, since naming conventions vary by vendor and service.

2 For example, you can be forgiven for not knowing AWS Fargate, Microsoft Azure Container Instances and Google Cloud Run all essentially serve the same , if you ever feel at a loss for what's what, hopefully this Cloud services cheat sheet will help. Consider it a guide for Cloud directories a quick reference sheet for what each vendor calls the same , you can also use this as a starting point. You'll need to do your homework to get a more nuanced under-standing of what distinguishes the offerings from one an-other. Follow some of the links throughout this piece and take that next step in dissecting these 's because not all services are equal each has its own set of features and capabilities, and the functionality might vary widely across platforms. And just because a provider doesn't have a designated service in one of these categories, that doesn't mean it's impossible to achieve the same objective. For example, Google Cloud doesn't offer an explicit disaster recovery service, but it's certainly capable of supporting is our Cloud services cheat sheet of the services available on AWS, Google Cloud and Azure.

3 The list is bro-ken down by category to help you start your cross- Cloud analysis. n Editor's note: Cloud services are constantly evolving. All infor-mation in this cheat sheet is up to date as of publication. We will periodically update the list to reflect the ongoing changes across all three IMAGE: METAMORWORKS/GETTYIMAGESHOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 3AI and machine learningAWSAZUREGOOGLE CLOUDAI containersAWS Deep Learning ContainersGPU support on AKSDeep Learning ContainersAI machine imagesAWS Deep Learning AMIsData Science Virtual MachinesDeep Learning VM ImageChat bots builderAmazon LexAzure Bot Service, QnA MakerDialogflowData labelingAmazon SageMaker Ground TruthAzure Machine Learning data labelingCloud Data LabelingDocument extraction, image content analysisAmazon TextractAzure Form Recognizer, Ink Recognizer, Computer Vision, Custom VisionVision APII mage and video recognition, indexingAmazon RekognitionAzure Face.

4 Video IndexerVideo AIInference acceleratorAmazon Elastic InferenceGPUs on AKSC loud TPU, Edge TPUL anguage recognition, sentiment analysisAmazon ComprehendLanguage Understanding, Text AnalyticsNatural LanguageLanguage translationAmazon TranslateSpeech Translation, TranslatorTranslationMachine learning hardwareAWS Inferentia, AWS Trainium (preview*)FPGAC loud TPUM anaged machine learning platformAmazon SageMakerAzure Machine LearningCloud AutoMLOnline fraud detectionAmazon Fraud DetectorN /AreCAPTCHA EnterprisePrediction review and moderationAmazon Augmented AI, amazon SageMaker ClarifyAzure Content ModeratorN /ARecommendation integrationAmazon PersonalizePersonalizerRecommendations AI (preview)Speech recognitionAmazon TranscribeSpeaker Recognition, Speech to TextCloud Speech-to-Text APICONTINUEDHOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 4AI and machine learningAWSAZUREGOOGLE CLOUDText-to-speechAmazon PollyText to SpeechCloud Text-to-Speech APITime-series forecastingAmazon ForecastN /AN /AVision/speech modeling packaged devicesAWS DeepLensAzure Kinect DKN /A*AWS, Google AND MICROSOFT USE DIFFERENT TERMINOLOGY TO DESCRIBE services THAT ARE IN PREVIEW, BETA OR ALPHA.

5 FOR THE PURPOSES OF THIS PIECE, ANY SERVICE THAT IS NOT GENERALLY AVAILABLE IS LISTED AS BEING IN CLOUDBig data processingAmazon EMRA zure Databricks, Azure HDInsightDataprocBusiness analyticsAmazon QuickSightPower BI EmbeddedLooker, Google Data StudioData lake creationAmazon HealthLake (preview), AWS Lake FormationAzure Data Lake StorageCloud StorageData sharingAWS Data Exchange, AWS Lake FormationAzure Data ShareCloud Dataprep (partnership with Trifacta)Data warehousingAmazon RedshiftAzure Synapse AnalyticsBigQueryETLAWS Glue, amazon Kinesis Data Firehose, amazon SageMaker Data WranglerAzure Data FactoryCloud Data Fusion, Dataflow, DataprocHosted Hadoop/SparkAmazon EMRA zure HDInsightDataprocManaged searchAmazon CloudSearch, amazon Elasticsearch Service, amazon KendraAzure Cognitive Search, Bing Search servicesCloud SearchManaged KafkaAmazon Managed Streaming for Apache KafkaAzure Event Hubs for Apache KafkaN/A (available through a partnership with Confluent)

6 CONTINUEDCONTINUEDHOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 5 AnalyticsAWSAZUREGOOGLE CLOUDReal-time data streamingAmazon Kinesis Data Analytics, amazon Kinesis Data StreamsAzure Stream AnalyticsDataflow, Pub/SubQuery service, data explorationAmazon Athena, amazon Elasticsearch Service, amazon Managed Service for Grafana (preview)SQL Server ML services , Big Data Clusters (Spark), Data Lake Analytics, SQL Server Analysis services , Azure Data ExplorerBigQueryApplication integrationAWSAZUREGOOGLE CLOUDAPI development and managementAmazon API Gateway, AWS AppSyncAzure API AppsAPI Gateway (preview), Apigee, Cloud EndpointsDistributed app coordinationAmazon Simple Workflow Service, AWS Step FunctionsLogic AppsCloud TasksEvent routing, third-party integrationAmazon AppFlow, amazon EventBridge, amazon Simple Notification ServiceEvent GridPub/SubMessagingAmazon MQ, amazon Simple Queue ServiceQueue Storage, Service BusPub/SubService discoveryAWS Cloud MapN /AN /AService meshAWS App MeshAzure Service Fabric Mesh (preview)

7 Anthos Service MeshWorkflow orchestrationAWS Data PipelineLogic AppsCloud ComposerCONTINUEDHOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 6 ComputeAWSAZUREGOOGLE CLOUDA utoscalingAWS EC2 Auto ScalingAzure Autoscale, Azure virtual machine scale setsManaged instance groups (MIGs)Batch scheduling, executing and processingAWS BatchAzure BatchBatch on GKE (preview)Functions as a serviceAWS LambdaAzure FunctionsCloud Functions5G-based infrastructureAWS WavelengthAzure Edge ZonesGlobal Mobile Edge Cloud (GMEC)High performance computing cluster managementAWS ParallelClusterAzure CycleCloudN /AIsolated serversDedicated InstancesAzure Dedicated HostSole-tenant Nodes, Shielded VMsBusiness applications**AWSAZUREGOOGLE CLOUDC ollaboration tool suiteN /AMicrosoft 365 Google WorkspaceDocument sharing and storageAmazon WorkDocsMicrosoft WordGoogle DocsEmail and calendarAmazon WorkMailOutlookGmailLow-code/no-codeAmaz on Honeycode (preview)Microsoft PowerApps, Project Bonsai (preview)AppSheetVideo calls and chatAmazon ChimeMicrosoft TeamsGoogle MeetVoice assistantAlexa for BusinessCortanaGoogle Assistant**SEVERAL Google AND MICROSOFT services IN THIS SECTION ARE NOT EXPLICITLY AVAILABLE THROUGH Google Cloud PLATFORM AND MICROSOFT AZURE, RESPECTIVELY.

8 THEY ARE PART OF EACH VENDOR'S BROADER Cloud 'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 7 ComputeAWSAZUREGOOGLE CLOUDPaaSAWS Elastic BeanstalkApp Service, Azure Cloud services , Azure Spring Cloud , Azure Red Hat OpenShiftApp EngineOn-premises/edge devicesAWS Outposts, AWS Snow FamilyAzure Stack Hub, Azure Stack HCI (preview), Azure Stack EdgeN /AQuantum computingAmazon BraketAzure Quantum (preview)N /AVirtual machinesAmazon EC2 Virtual MachinesCompute EngineVirtual private serverAmazon LightsailN /AN /AVMware integrationVMware Cloud on AWSA zure VMware SolutionVMware EngineContainersAWSAZUREGOOGLE CLOUDC ontainer registryAmazon Elastic Container Registry (ECR), ECR PublicAzure Container RegistryArtifact Registry (preview), Container RegistryManaged container serviceAmazon Elastic Container Service (ECS), amazon Elastic Kubernetes Service (EKS)Azure Kubernetes Service (AKS) Google Kubernetes Engine (GKE)Serverless container environmentAWS FargateAzure Container Instances (ACI) Cloud RunCONTINUEDHOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 8 DatabasesAWSAZUREGOOGLE CLOUDB lockchainAmazon Managed Blockchain, amazon Quantum Ledger Database (QLDB)Azure Blockchain Service (preview), Azure Blockchain Tokens (preview), Azure Blockchain Workbench (preview)N /AIn-memory cachingAmazon ElastiCache (Memcached, Redis)Azure Cache for RedisCloud MemorystoreNoSQL.

9 Column-familyAmazon Keyspaces (for Apache Cassandra)Azure Cosmos DBCloud BigtableNoSQL: DocumentAmazon Document DB (with MongoDB compatibility), amazon DynamoDBAzure Cosmos DBCloud Firestore, Firebase Realtime DatabaseNoSQL: GraphAmazon NeptuneAzure Cosmos DB Gremlin APIN /ANoSQL: Key-valueAmazon DynamoDB, amazon KeyspacesAzure Cosmos DB, Table storageCloud Bigtable, FirestoreCONTINUEDCost controlsAWSAZUREGOOGLE CLOUDLong-term commitment discount programsEC2 Reserved Instances, Savings PlansReservations, Azure Hybrid BenefitCommitted use discounts, sustained use discountsLow-cost, interruptible VMsEC2 SpotAzure Spot Virtual MachinesPreemptible Virtual MachinesOptimization toolsAmazon CodeGuru, amazon DevOps Guru (preview), AWS Compute Optimizer, AWS Trusted Advisor, AWS Well-Architected ToolAzure Advisor, Azure Well-Architected ReviewRecommender, Network Intelligence Center, Cloud ProfilerSpending tracker and analysisAWS Budgets, AWS Cost Anomaly Detection, AWS Cost Explorer, AWS Cost and Usage ReportAzure Cost Management and BillingCost ManagementHOMEEDITOR'S NOTEAI AND MACHINE LEARNINGANALYTICSAPPLICATION INTEGRATIONBUSINESS APPLICATIONSCOMPUTECONTAINERSCOST CONTROLSDATABASESDEVELOPER TOOLSIoTMANAGEMENT AND GOVERNANCEMIGRATIONMISCELLANEOUSNETWORKI NGSECURITYSTORAGEA Cloud services cheat sheet FOR AWS, AZURE AND Google Cloud DECEMBER 2020 9 DatabasesAWSAZUREGOOGLE CLOUDR elational database management systemAmazon Aurora, amazon RDS (MySQL, PostgreSQL, Oracle, SQL Server, MariaDB), amazon RDS on VMwareAzure Database (MySQL, MariaDB, PostgreSQL), Azure SQL (Database, Edge, Managed Instance) Cloud SQL (MySQL, PostgreSQL, SQL Server)

10 , Cloud SpannerTime-series databaseAmazon TimestreamAzure Time Series InsightsCloud BigtableDeveloper toolsAWSAZUREGOOGLE CLOUDApp configuration parameter storageAWS AppConfigApp ConfigurationCloud StorageArtifact managementAWS CodeArtifactAzure Artifacts, GitHub PackagesArtifact Registry (preview)Code debuggingAWS X-RayVisual Studio CodeCloud Debugger, Firebase CrashlyticsCI/CDAWS CodeBuild, AWS CodeDeploy, AWS CodePipeline, AWS CodeStarAzure DevOps, Azure PipelinesCloud Build, TektonDevelopment kitsAWS Cloud Development Kit, amazon CorrettoAzure SDKsCloud SDKIDEs and other tools for interacting with Cloud resourcesAWS Cloud9, AWS CLI, AWS CloudShell, amazon EMR StudioAzure CLI, Azure PowerShell, Azure Cloud Shell, Visual Studio, Visual Studio Code, Visual Studio CodespacesCloud Code, Tools for zEclipse, Tools for PowerShellLab environmentN /AAzure Lab ServicesN /AMobile and Web app developmentAWS AmplifyApp Service, Mobile Apps, Xamarin with Azure, Web Apps, Static Web Apps (preview)


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