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

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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

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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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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)

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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

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