A cloud services cheat sheet for AWS, Azure, and Google Cloud
Cloud/DevOps Handbook
A cloud services cheat sheet for AWS, Azure, and Google Cloud
DECEMBER 2020
EDITOR'S NOTE AI AND MACHINE LEARNING ANALYTICS APPLICATION INTEGRATION BUSINESS APPLICATIONS COMPUTE CONTAINERS COST CONTROLS DATABASES DEVELOPER TOOLS IoT MANAGEMENT AND GOVERNANCE MIGRATION MISCELLANEOUS NETWORKING SECURITY STORAGE
HOME EDITOR'S NOTE AI AND MACHINE LEARNING ANALYTICS APPLICATION INTEGRATION BUSINESS APPLICATIONS COMPUTE CONTAINERS COST CONTROLS DATABASES DEVELOPER TOOLS IoT MANAGEMENT AND GOVERNANCE MIGRATION MISCELLANEOUS NETWORKING SECURITY STORAGE
EDITOR'S NOTE
A cloud services cheat sheet for AWS, Azure and Google Cloud
--TREVOR JONES, SITE EDITOR
AWS, 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 providers.
Even trying to compare what's available in each cloud can quickly get convoluted, since naming conventions vary by vendor and service. For example, you can be forgiven for not knowing AWS Fargate, Microsoft Azure Container Instances and Google Cloud Run all essentially serve the same purpose.
So, 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 service.
However, you can also use this as a starting point. You'll need to do your homework to get a more nuanced understanding of what distinguishes the offerings from one another. Follow some of the links throughout this piece and take that next step in dissecting these offerings.
That'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 DR.
Here is our cloud services cheat sheet of the services available on AWS, Google Cloud and Azure. The list is broken down by category to help you start your cross-cloud analysis. n
Editor's note: Cloud services are constantly evolving. All information 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 platforms.
COVER IMAGE: METAMORWORKS/GETTYIMAGES
A CLOUD SERVICES CHEAT SHEET FOR AWS, AZURE AND GOOGLE CLOUD ? DECEMBER 2020 2
HOME EDITOR'S NOTE AI AND MACHINE LEARNING ANALYTICS APPLICATION INTEGRATION BUSINESS APPLICATIONS COMPUTE CONTAINERS COST CONTROLS DATABASES DEVELOPER TOOLS IoT MANAGEMENT AND GOVERNANCE MIGRATION MISCELLANEOUS NETWORKING SECURITY STORAGE
AI and machine learning
AWS
AI containers
AWS Deep Learning Containers
AI machine images
AWS Deep Learning AMIs
Chat bots builder
Amazon Lex
Data labeling
Amazon SageMaker Ground Truth
Document extraction, image content analysis
Amazon Textract
Image and video recognition, indexing
Inference accelerator
Language recognition, sentiment analysis
Language translation
Machine learning hardware
Managed machine learning platform
Online fraud detection
Prediction review and moderation
Recommendation integration
Speech recognition
Amazon Rekognition
Amazon Elastic Inference Amazon Comprehend
Amazon Translate AWS Inferentia, AWS Trainium
(preview*) Amazon SageMaker
Amazon Fraud Detector Amazon Augmented AI, Amazon
SageMaker Clarify Amazon Personalize
Amazon Transcribe
AZURE GPU support on AKS
Data Science Virtual Machines
Azure Bot Service, QnA Maker
Azure Machine Learning data labeling
Azure Form Recognizer, Ink Recognizer, Computer Vision,
Custom Vision
Azure Face, Video Indexer
GOOGLE CLOUD Deep Learning Containers Deep Learning VM Image
Dialogflow Cloud Data Labeling
Vision API
Video AI
GPUs on AKS
Language Understanding, Text Analytics
Speech Translation, Translator
FPGA
Cloud TPU, Edge TPU Natural Language
Translation Cloud TPU
Azure Machine Learning
Cloud AutoML
N/A Azure Content Moderator
reCAPTCHA Enterprise N/A
Personalizer Speaker Recognition, Speech to Text
Recommendations AI (preview)
Cloud Speech-to-Text API
CONTINUED
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HOME EDITOR'S NOTE AI AND MACHINE LEARNING ANALYTICS APPLICATION INTEGRATION BUSINESS APPLICATIONS COMPUTE CONTAINERS COST CONTROLS DATABASES DEVELOPER TOOLS IoT MANAGEMENT AND GOVERNANCE MIGRATION MISCELLANEOUS NETWORKING SECURITY STORAGE
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AI and machine learning
Text-to-speech
AWS Amazon Polly
AZURE Text to Speech
Time-series forecasting
Amazon Forecast
N/A
Vision/speech modeling packaged devices
AWS DeepLens
Azure Kinect DK
*AWS, GOOGLE AND MICROSOFT USE DIFFERENT TERMINOLOGY TO DESCRIBE SERVICES THAT ARE IN PREVIEW, BETA OR ALPHA. FOR THE PURPOSES OF THIS PIECE, ANY SERVICE THAT IS NOT GENERALLY AVAILABLE IS LISTED AS BEING IN PREVIEW.
Analytics
Big data processing Business analytics
AWS Amazon EMR Amazon QuickSight
AZURE Azure Databricks, Azure HDInsight
Power BI Embedded
Data lake creation Data sharing Data warehousing ETL
Hosted Hadoop/Spark Managed search Managed Kafka
Amazon HealthLake (preview), AWS Lake Formation
AWS Data Exchange, AWS Lake Formation
Amazon Redshift
AWS Glue, Amazon Kinesis Data Firehose, Amazon SageMaker Data
Wrangler
Amazon EMR
Amazon CloudSearch, Amazon Elasticsearch Service, Amazon Kendra
Amazon Managed Streaming for Apache Kafka
Azure Data Lake Storage
Azure Data Share
Azure Synapse Analytics Azure Data Factory
Azure HDInsight Azure Cognitive Search, Bing Search
services Azure Event Hubs for Apache Kafka
GOOGLE CLOUD Cloud Text-to-Speech API
N/A N/A
GOOGLE CLOUD Dataproc Looker,
Google Data Studio Cloud Storage
Cloud Dataprep (partnership with Trifacta)
BigQuery Cloud Data Fusion, Dataflow, Dataproc
Dataproc Cloud Search
N/A (available through a partnership with Confluent)
CONTINUED
A CLOUD SERVICES CHEAT SHEET FOR AWS, AZURE AND GOOGLE CLOUD ? DECEMBER 2020 4
HOME EDITOR'S NOTE AI AND MACHINE LEARNING ANALYTICS APPLICATION INTEGRATION BUSINESS APPLICATIONS COMPUTE CONTAINERS COST CONTROLS DATABASES DEVELOPER TOOLS IoT MANAGEMENT AND GOVERNANCE MIGRATION MISCELLANEOUS NETWORKING SECURITY STORAGE
CONTINUED
Analytics
Real-time data streaming
Query service, data exploration
AWS
Amazon Kinesis Data Analytics, Amazon Kinesis Data Streams
Amazon Athena, Amazon Elasticsearch Service, Amazon
Managed Service for Grafana (preview)
AZURE Azure Stream Analytics
SQL Server ML Services, Big Data Clusters (Spark), Data Lake Analytics,
SQL Server Analysis Services, Azure Data Explorer
GOOGLE CLOUD Dataflow, Pub/Sub
BigQuery
Application integration
AWS
API development and management
Amazon API Gateway, AWS AppSync
Distributed app coordination
Amazon Simple Workflow Service, AWS Step Functions
Event routing, third-party integration
Amazon AppFlow, Amazon EventBridge, Amazon Simple
Notification Service
Messaging
Amazon MQ, Amazon Simple Queue Service
Service discovery
AWS Cloud Map
Service mesh
AWS App Mesh
Workflow orchestration
AWS Data Pipeline
AZURE Azure API Apps
Logic Apps Event Grid
Queue Storage, Service Bus N/A
Azure Service Fabric Mesh (preview) Logic Apps
GOOGLE CLOUD API Gateway (preview), Apigee, Cloud Endpoints
Cloud Tasks
Pub/Sub
Pub/Sub
N/A Anthos Service Mesh
Cloud Composer
A CLOUD SERVICES CHEAT SHEET FOR AWS, AZURE AND GOOGLE CLOUD ? DECEMBER 2020 5
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