The Difference between Big Data & Internet of Things (IoT)

The Difference between Big Data & Internet of Things (IoT)

The Difference between Big Data & Internet of Things (IoT)
Big data solutions

The trouble with technology is, it changes too frequently. By the time people start understanding and getting used to a term and its usage, there’s a new one doing the rounds. You could say that’s what happened with Big Data and Internet of Things (IoT). Both are hot terms in Information Technology circles, both are related to data, and both are slightly tough to grasp for a layman at first. It’s no wonder people keep confusing one for the other all the time.

But on a serious note, Big Data and IoT are two very different concepts. And this post is dedicated to highlighting the differences between the two in the simplest manner possible.

So shall we begin?

The Differences

Difference 1: What it revolves around

Big Data revolves around data or information that you receive and share. It is all about enabling organizations to use more of the data around them.

IoT is all about devices, solutions and services linked with these devices and solutions. It’s about collecting data, analyzing it in real time for events or patterns of interest, and making sure to integrate any new insight into the rest of your business.

Difference 2: Source of the data

Big Data involves analyzing large amounts of human-generated data. Typical sources of Big Data are emails, social media activity, photos that we upload, etc.

IoT involves aggregating and compressing large amounts of machine-generated data coming from a wide variety of sensors such as RFIDs, Fitness Trackers, Virtual Reality devices, Smart Air Purifiers, etc.

Difference 3: Time Constraints

In big data solutions and projects, it is perfectly normal for data to rest before it is used in any kind of analysis. Thus typically, Big Data supports longer-duration use cases such as predictive maintenance, capacity planning, and revenue protection.

On the other hand, in any IoT project time is of the absolute essence. So IoT supports real-time use cases such as operational optimization, real-time ad bidding, fraud detection, and security breach detection.

Difference 4: The Big Picture

With big data, you can analyze all the information you have about failures and start to uncover the root causes.

Using IoT you can track and monitor assets like trucks, engines, HVAC systems, and pumps. You can correct problems as you detect them.

The connection

It wouldn’t be fair to end this discussion without saying that both Big Data and IoT are sort of incomplete without each other. Both complement each other and when you combine both, you can not only react to problems as they occur, but you can also predict them, and fix them beforehand. Go from being reactive to being proactive. IoT delivers the information from which big data analytics can draw the information to create the insights required of it.

If you’ve been researching about Big Data Companies and wish to get on board with a service provider who can help you with Big Data Hadoop requirements, get in touch with Paragyte. We have some of the most talented professionals who have amassed extensive Big Data Business Intelligence and can help you achieve your business goals in the best possible manner.

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