5 reasons to choose an IoT Platform over MQTT Broker

5 reasons to choose an IoT Platform over MQTT Broker

IoT and Industry 4.0 together pave the way for smart industrial developments and every industry needs a dedicated & personalized IoT/Industry 4.0 implementation. Even within a specific industry in medium and large enterprises, there are cases where the processes may require customization or a custom implementation of the solution. Such requirements result in millions of distinct IoT implementations in the entire world. In order to build cost effective solutions, these million implementations will need a central M2M engine (MQTT Broker) or an IoT Platform.

This blog helps you identify whether you need an IoT Platform or simple MQTT Broker to get start with  implementation.

Save Money on your IoT Implementation :

The IOT Platform provides everything that needs to be a part of the central M2M communication, Data Storage, REST APIs and more, in order to run a complete solution for any IOT automation. Using an IoT Platform as part of your implementation will have more advantages and higher cost savings than using MQTT Broker. This makes your server ready without spending a huge amount of money and time on implementing the same.

Easy scale up:

IoT Platforms are designed and built with scaling up your IOT Solution to handle millions of devices. But, Most platforms are micro services-based allowing you to deploy only the service you need. In the industrial implementation, there are two scenarios.

  1. Less number of devices and more messages per device
  2. Lot of devices and lower frequency of messages per device.

You can deploy higher connections and higher message rates with components of platform accordingly as per the situation. This is something not possible with the broker unless you go for some huge customization of the broker.

Multi tenancy for your IoT Implementation:

Bevywise IoT Platform comes with multi tenancy. Most solutions today require more than one customer and you cannot have one instance per customer. Besides that Most industrial scenarios need Multi tenancy. Platforms implement multi tenancy from devices using different set of authentication keys, data processing & storage, and data analytics based on the organization.

Faster Time to market:

The core of any IoT Implementation is the edge device and the management of the devices using your mobile application. The IoT platforms provide REST based APIs and SDKs for the faster mobile application and other application integration. The platform helps to get you the complete IoT Solution up and running in days.

High Availability of IoT Platform:

IoT Platform comes with an in-built monitoring and self healing tools. The platform monitoring tools help in keeping the Dev-ops team informed of the server health. The self healing tools can be configured in such a way to restart the services based on the CPU and Memory usage, making the service work more reliably.

Try the hosted Bevywise IOT Platform now.

For more information on the Platform, download the brochure here.  Contact support for a hosting a white labeled Platform for your IoT Solution.

MQTT vs REST from IoT Implementation perspective

MQTT vs REST from IoT Implementation perspective

Most of the IoT Implementations today uses REST over HTTP based connectivity from the client to the Server. REST has its own limitation that pops in while your solution scales up to the larger number of devices and more number of translations per second. MQTT, the lightweight protocol based on publish subscribe model designed exclusively for IoT has its advantage over REST in all dimensions. Bevywise MQTT Broker is the perfect middleware for secure mqtt cloud deployment. This blog compares MQTT vs REST to help you finalize your communication protocol.

Instant Response – Need of the hour

REST is a multi-functional architecture that comes up with good flexibility & scalability with low maintenance costs. But the major disadvantage is latency in request processing time and bandwidth usage. This is because, REST is a one-way connection. The connection to the server is intermittent. The client connects to the server when needed to push data from the client and pulls the data down to the client. The server needs to wait for the clients to connect to send the data that is intended for the client. Hence, this makes the user intended action to wait for the client connection. Most solution providers allow their edge server or their gateways to connect every 1 minute or higher so that the server is not loaded.

Take an example of an activating a light from a mobile app. The message from the mobile will hit the server instantly. But the message from the server to the client needs to wait for the time client to connect.

MQTT allows the client to be connected always providing a two way communication between the client and the server. This allows server to push the message to the edge device making the device respond to your command instantly as expected by Customers.

When directly compared MQTT vs REST for the same data transfer, MQTT consumes 20% lesser power. But, In the case of the REST, most energy is lost on the resources used on connecting and disconnection and resource cleanup on both the server and the client. So when you build a battery operated remote device, MQTT helps you with longer battery life than REST.

Highly Secure IoT Device Deployments

Most of the devices today are deployed behind the firewall for security reasons. One of the limitations of the REST is that the server can no way communicate from the server to the client on demand. Even if we put a REST Server on the client devices and try to make connections form the server, it will fail when devices are installed behind the firewall.  But MQTT inherently solves this problem of two-way communication with persistent connections.

MQTT vs REST Performance

MQTT is always-connected against the intermittent REST Calls. Due to the permanent connection, the need to connect and disconnect for every data transfer is not required. The keep-alive ping has a much lesser overhead compared to the reconnection connection calls the REST makes. As per the analysis and test reports, MQTT data transfer can transfer data at a rate 20 to 25 times faster than REST Calls.

The number of message transaction highly depends on the number of connections the server can accept in the stipulated time. The number of concurrent connections that the fastest available web server today will be in the order of 1000s per second. This restricts the data transfer in sequence. MQTT Broker can process up to 40,000 messages per second on a commodity server. The number of parallel connections the broker can hold can again be tweaked based on the hardware. A simple commodity server can hold up to 50,000 connections in parallel.

The key features that make MQTT worth than REST is its error handling functionality, flexibility & scalability. Significantly, An improved error handling provides a more readable information about the error that provides reasons for disconnection. MQTT 5 protocol specification supports an absolute error handling which is favourable for diagnosis to know what actually happened. In addition, MQTT 5 supports perfect load balancing and facile message processing. The major function of this feature packed protocol is that it caters enhancement for scalability & large scale industrial deployments.

In a clear advantage, MQTT wins the MQTT vs REST choice for the IoT Implementation.  To know more on MQTT & its package structure, check MQTT developer guide. Try MQTTRoute the fastest MQTT Broker available today. MQTTRoute also provides MQTT REST API to help you control & manage edge devices. It supports a extensive set of REST API which can be used to control the devices from any external application. To know about the REST API calls that Bevywise MQTT Broker supports navigate to the MQTT Broker API.

Try downloading the MQTT Broker for FREE & get the first hand view.

download now

Are you looking to automate your home on a Raspberry pi? An Exclusive FREE MQTT Broker is available with Mobile Application, home automation platform integration & more.

Get the MQTT Broker App on Google play store to control devices right from your mobile.

Do write back your queries to Bevywise support.

To test drive the MQTT Broker, use your own client that supports MQTT protocol or download one from our MQTT clients library.

Must Read Other Related Post

Download Bevywise MQTT Broker for free

Python MQTT Broker integration with any Application

Python MQTT Broker integration with any Application

MQTT Broker is the central server that  manages all the communication between the edge devices, collect data from them and ensures the Quality of Service in message delivery.  At the same time the MQTT Broker helps analyse the MQTT messages received from the edge devices.  in addition, The python component around the Broker & Platform helps integrate to any application.

IoT Platform

The IoT Platform is a SaaS based highly scalable architecture which can be used to connect millions of devices. The IoT Platform also supports multi tenancy by which you can provide solutions to any number of devices. Besides that, the Platform provides an individual customer access to manage their devices and create rules for automation between their devices. The platform in turn provides a powerful API interface which can be used to build web and mobile applications over the platform.

Extendable MQTT Broker

The MQTT Broker is a standalone server which supports all operating system. Above all, The python modules of the MQTT Broker can be extended by connecting to any big data engine. Few of the ready to use Python interfaces are  MongoDB Connector & ElasticSearch Connector. Another set of python interfaces which can be used to extend the MQTT Broker include, Custom UI, Custom storage, Custom scheduler, Custom Data Store, Custom Authentication. For the detailed view on python mqtt interfaces see MQTT help documentation.

Something is missing ??

YES…  Even though the above components can be integrated into any of the manager application, these application needs a standalone monitoring and server management.  The existing Device manager and IoT Applications vendors will be more than happy if they can integrate these applications into their application.

When used as a separate component.

  • – Multiple set up process.
  • – API Control for every operation.
  • – Separate Data Storage.
  • – No control over the MQTT Broker process.

MQTT Broker as an integral Component

Keeping this in mind, we today announce a variant of MQTT Broker where can be added as one of the components into your application.   You will be able to do the following.

  • – Start / Stop the MQTT Broker from your core application.
  • – Know about the client connects and disconnections, the clients IP address, passwords used and the will details.
  • -You should know about the messages published from the edge devices.
  • – Think about the subscription details of each device
  • – know about the message propagation to individual edge devices
  • – The acknowledgement status for each message sent to each device.
  • – Send message to each device individually or as a group.
  • – Control over the authentication tokens.

You can integrate this MQTT Broker component into any of your application. The component can provide more functional communication between the component and your application based on the need. 

You can download and try our Python MQTT Broker.

download now

Looking for getting your application MQTT enabled, drop a message to support.

Introducing ready to use MQTT Broker Plugin

Introducing ready to use MQTT Broker Plugin

A few weeks back we rolled out an update that provides an option to store  MQTTPayload into ElasticSearch. In addition, this update also had options to enable customization to send data received from the different edge devices to various storage engines or your own application. Today we want to make the MQTT Broker more ready to use for our customers.  Yes we are rolling out ready to use MQTT Broker plugin for MongoDB & ElasticSearch.

These plugins can store data of plain text message and one level of JSON data into the document store. Besides that the JSON string will be federated and stored as a flat key value pair into the document store. The flatter storage will help you draw powerful charts and user friendly graphs in the way you need.

The way of data storage is completely dependent on the way data is generated from the client. So we have provided these plugins under an open Apache license, so that you can customise the MQTT Broker plugin as required for the data.

MQTT Broker Plugin for MongoDB

Mongodb is one of the most widely used Document Storage engine for IOT data analysis. This plugin can be enabled in MQTT Broker and configured to write data into the Mongodb. If you are receiving a complex JSON data from the edge devices, you can customize the code to alter the data for storage.

Download the MQTT Broker – Mongodb – Connector Now

MQTT Broker Plugin for ElasticSearch

ElasticSearch is a very powerful search engine. Hence, We use ElasticSearch for our IOT Platform and our hosted Device Manager. And  also we provide a default integration with Elastic in MQTT Broker. We are also publishing the code for the customers to make changes as needed for their data format.

Download the MQTT Broker – ElasticSearch – Connector Now

MQTT Broker is needed for using these plugins. Try the FREE version of the MQTT Broker now

download now

We would be happy to help you with storing complex data if needed. We are also working on connectors for AWS Lamda, GE Predix, Apache Hive and more. Do write to support for any assistance or feedback

Rule engine – set triggers by time

Rule engine – set triggers by time

Rule engine of the MQTT Broker helps you analyse the data and create actions and send appropriate messages to another device based on the received data. But in addition, most of the work human do from dawn to dusk are time driven. So the things on the internet needs some activation based on the time in addition to the condition based activation.

Today, we are happy to add a time based rule engine which can users define messages based on the time in addition to the condition based rules.

One Time Scheduling:

The MQTT Broker can be configured to send specific message to a specific topic on a particular date and time.

Repetitive Tasks:

The floor cleaning robot needs to be scheduled every day or certain days of the week to clean all rooms.  This can be triggered by scheduing messages all days or on specific days and specific time.

Seasonal:

Some work may be seasonal like watering the lawn and using air conditioners in tropical countries. The MQTT broker can trigger messages on a specified date range and time to trigger actions.

In addition to the rules engine enhancement, we have also added an exclusive download for the Raspbian OS to be used in the Raspberry Pi.

Download the FREE MQTT Broker now.

download now

Please feel free to contact support for any questions or feedback