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 Comparison of IoT Platform Stack

The reference is part of my book – Enterprise IoT.

Platforms -> Microsoft IBM Amazon Open Source Predix
Device SDK Azure IoT Device SDK,Connect

TheDots.io

IBM Watson IoT Platform Client Library,Watson IoT Platform Device recipes,

Paho Library

Device SDK for AWS IoT Paho Library, Cyclon.js, and many other options Predix Machine
Protocol Supported HTTP,AMQP

MQTT

MQTT MQTT, HTTP MQTT, AMQP, HTTP etc. MQTT,Web

Socket,

HTTPs

Core platform – IoT Messaging platform IoT Hub,Event Hubs

 

IoT Foundation AWS IoT Protocol Bridge,Apache Kafka RabbitMQ
Core platform – Database option DocumentDB,Storage (high-performance tables, blobs),

Microsoft SQL

 

MongoDB, Cloudant NoSQL, ObjectStorage, Informix Time Series data, etc. Amazon DynamoDB, Amazon Redshift Cassandra (or alternatives like MongoDB) Asset Data,Time Series,

Redis,

Postgre

SQL,

Blobstore

Analytics platform – Real-time Streaming Microsoft Stream Analytics IoT Real-Time Insights,IBM Streaming Analytics Amazon Kinesis Apache Spark Streaming AnalyticsRuntime
Analytics platform – Machine Learning Azure ML Predictive Analytics service (on Bluemix) + SPP Modeler (offline) Amazon Machine Learning Apache Spark MLlib Custom Analytics Support(Python,

Java,

MATLAB)

Alerts and Event handling Notification Hubs, PowerBI Embeddable Reporting, IBM Push Notifications AWS Lambda,Amazon Quick

Sight, Amazon Simple Notification Service

Custom, Zeppelin (Dashboards), etc. Mobile SDK,Dash

board Seed

Naveen

The author Naveen