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