Internet of Things (IoT) Data Storage

See how your organization can best leverage cloud-based data stores so that IoT-produced data is maintained, managed and backed up remotely and made available to users over a network (typically the Internet).

Top Stories

Opinion 16 Aug 2021
Storage for edge computing is the next frontier for IoT

IoT edge devices are getting smarter and will need local storage for machine learning and other AI operations. Is the industry ready for the challenge of storage for edge computing? Continue Reading
Tip 21 May 2021
How to keep up with IoT data protection

When it comes to protecting IoT data, admins can begin planning backup with an assessment of how much data the organization is generating and how it's being used. Continue Reading

Tip 25 Feb 2021

Build an effective edge data storage plan

IoT data storage is a key edge storage use, but not the only one. Stay on top of this movement in IT and make sure an edge infrastructure plan is in place. Continue Reading
Feature 08 Feb 2021

Reach business objectives with the right IoT data pipeline

IoT technology creates value from its data. Organizations need the right IoT data pipeline to facilitate the processing that leads to actionable insights and informs business decisions. Continue Reading
Blog Post 21 Jan 2021

Gain an edge on IoT storage

IoT storage on the edge is growing exponentially, so it's important companies prepare for and meet all its challenges. Continue Reading
Opinion 10 Aug 2020

Storage optimization strategies for time-series data stores

Storing time-series data should depend on how the data is used and its age. Discover tips for saving data for comparative analysis, machine learning and other purposes. Continue Reading
Blog Post 23 Jul 2020

Updating video surveillance infrastructure for IoT connectivity

If done correctly, creating an entirely cloud-based video surveillance ecosystem can help create a platform for a highly intelligent set of IoT services. Continue Reading
Tip 30 Jun 2020

How to select the right IoT database architecture

To choose the best database architecture for an organization's IoT initiative, IoT technologists must understand the basics of all the database options. Continue Reading
Tip 15 Jun 2020

5 steps to select the best IoT database

Organizations should begin their search for the right IoT database by understanding their data, functional requirements and how the database will fit into their business strategy. Continue Reading
Feature 17 Apr 2020

How to plan for data storage in IoT deployments

Business objectives, data retention needs and cost all factor into where organizations should store endpoint-generated data in growing IoT deployments. Continue Reading
Tip 18 Mar 2020

Understand IoT data storage options for data deluge

Cloud is the favored storage choice for many IoT uses, but vendors have stepped up their offerings to meet the growing variety of needs, including custom-built options. Continue Reading
Opinion 17 Feb 2020

Why the future of AI storage may have to exclude flash

Discover why large, high-node count and hard disk-only scale-out storage architectures address the ever-growing capacity demands and challenges of AI architectures and workloads. Continue Reading
Feature 06 Feb 2020

Understand IoT data management essentials

The flood of data from IoT devices requires careful planning of infrastructure and data management, and current processes might not be up to the task. Continue Reading
Tip 30 Dec 2019

NVMe/TCP and edge storage benefits and drawbacks

NVMe/TCP is finally entering the storage mainstream and can be particularly useful for data storage at the edge. Find out the pros and cons of this approach. Continue Reading
Blog Post 12 Dec 2019

Drastically simplify your IoT data pipeline

IoT devices can quickly create a massive amount of data that seems unmanageable, but data lake engines can simplify the data pipeline and get greater value from IoT data. Continue Reading
Tip 27 Nov 2019

4 requirements to choose the best enterprise IoT database

How should an IoT database differ from a traditional database? Learn what criteria databases need in order to handle the challenges that IoT technology brings with it. Continue Reading
Answer 29 Oct 2019

What works best for IoT storage?

Storage for IoT devices and applications requires new strategies and approaches. Find out how three approaches are being used to facilitate storage for consumers and enterprises. Continue Reading
Blog Post 25 Oct 2019

The unique requirements for the edge data layer

Where data is stored affects both distribution and connectivity. By keeping data in the right type of storage with dedicated private lines, organizations can improve both performance and security. Continue Reading
Blog Post 16 Oct 2019

How IoT is transforming energy efficiency tactics

Energy efficiency is a critical component to a retailer's everyday operations, and IoT sensors and data can help them save on energy consumption and costs. Continue Reading
Blog Post 25 Sep 2019

How to prepare for the age of edge storage

As data floods in from IoT devices and applications move to the cloud, organizations should consider separating storage from compute with the NVMe/TCP standard. Continue Reading
Blog Post 06 Sep 2019

Autonomous driving fuels massive data growth of IoT

All data must play a role in organizations hoping to keep a competitive edge with an IoT deployment. Vertica's Joy King explains how unstructured data will seem small compared to IoT data used for ... Continue Reading
Blog Post 29 Aug 2019

How to make IoT data a performing asset

Some IoT data is left to sit in data lakes, undermining performance. Co-Founder and CEO of Dremio, Tomer Shiran, discusses how organizations can migrate this unused data into analytics tools. Continue Reading
Blog Post 25 Jul 2019

Think before you deploy: the before, during and after of IoT data

Data presents the greatest value in IoT, but also one of its biggest challenges. InfluxData's David Simmons discusses how to design with data in mind and manage the data deluge. Continue Reading
Blog Post 28 Jun 2019

Solve real-time analytics challenges across operational and data lake data

Waves of data can make real-time analysis difficult, but in-memory computing, explains GridGain Systems' Nikita Ivanov, can drive business processes with real-time insights into live and historical ... Continue Reading
Blog Post 27 Jun 2019

Protect expanding smart cities from cyberthreats with cloud to flash

Smart city growth will soon outpace city planners' ability to protect them. Cloud-to-flash technology, advises Nanolock Security's Yoni Kahana, helps build cities as safe as they are smart. Continue Reading
Blog Post 19 Apr 2019

Invest in a time series database when building your IoT application

Using a time series database, says TimescaleDB's Ajay Kulkarni, IoT organizations can garner insights from connected data to build new features, automate processes and drive efficiency. Continue Reading
Blog Post 18 Apr 2019

Are time series databases the key to handling the IoT data deluge?

The exponential growth of IoT devices and the data they create is presenting a major challenge for database management. InfluxData's David Simmons explains how a time series database can help. Continue Reading
Blog Post 26 Feb 2019

How blockchain meets IoT at the data

Blockchain doesn't inherently represent the state of the world. It takes IoT, says Red Hat's Gordon Haff, to represent physical objects more completely, automatically, timely and resistant to ... Continue Reading
News 19 Feb 2019

MDL AutoMation picks Imanis Data to protect MongoDB

MDL AutoMation purchased Imanis Data to gain hourly backups and nightly restores of its MongoDB database -- something that couldn't be done with MongoDB's native backup. Continue Reading
Blog Post 15 Feb 2019

4 industrial IoT data misconceptions that hold back its progress

Industrial IoT requires new methods of real-time data management and analysis. However, there are many misconceptions about it. Crate.io's Christian Lutz lists four IIoT misconceptions, and the ... Continue Reading
Tip 21 Sep 2018

7 key questions IoT storage designers must answer

IT teams must thoroughly understand their IoT data, including how it's managed and secured, as well as where it's collected, processed, analyzed and ultimately stored. Continue Reading
Blog Post 02 Apr 2018

Preventing IoT data waste with the intelligent edge

Nearly 99% of all IoT data collected is wasted – but why? HarperDB's Stephen Goldberg explains why the data management industry must transform to solve the problem. Continue Reading
Blog Post 13 Mar 2018

Smart video surveillance delivers actionable insights

Surveillance isn't just about security any longer, says Western Digital's Chris Bergey, it's about extracting value and intelligence, making smart video a reality. Continue Reading
Blog Post 04 Jan 2018

Addressing the fundamental challenges to IoT data management

Striim CTO Steve Wilkes discusses the three primary challenges of IoT data management and the importance of a streaming-first architecture. Continue Reading
Blog Post 20 Jul 2016

IoT data: Where is it stored?

Along with storing IoT data at the back-end, devices should also store data at the device itself; this will prevent outage issues and consumer frustration. Continue Reading
Feature 02 Mar 2016

How to use Google Firebase to build real-time IoT apps

Google Firebase helps developers build real-time applications for the Internet of Things but is not without limitations. Continue Reading
Tip 29 Jan 2016

IoT data management: Establishing connected data use agreements

Connected devices continue to move into the mainstream, but they raise major IoT data management questions for both businesses and their customers. Continue Reading
Tip 08 Sep 2015

Evaluating IoT data storage in the cloud

Organizations increasingly need to store data generated from the Internet of Things, which means deciding between cloud and on-premises IoT data storage is more important than ever. Continue Reading
Opinion 29 Apr 2015

HDS storage strategy centers on Internet of Things

The Hitachi Data Systems strategy runs along two tracks -- software-defined storage and social innovation. How will HDS storage connect the dots and align with the Internet of Things? Continue Reading