ITTIA DB Safe and Secure Embedded Edge Data Platform
What goes around comes around: after two decades of moving data and applications to a central cloud to be accessed by “dumb terminals,” the tide has turned. The edge is getting smarter, but how smart can it get?
IoT databases are different from general databases. Really? That was a surprise to Rich Nass of Embedded Computing Design.
To understand the difference, He invited Sasan Montaseri, the founder of ITTIA to join his Embedded Executives podcast. Sasan has a lot of insight into this technology, particularly with respect to how you need to secure that database.
What are the data management security threats in embedded systems? How does ITTIA address it? Data management for embedded and enterprise systems ideally follow the same security threats. There are three main fundamentals or objectives which are referred as CIA
ITTIA, a provider of time series high-performance embedded database software for autonomous systems and Internet of Things (IoT) devices, announced plans to support STMicroelectronics platforms.
Author Bill Lydon has a discussion about the aspects of Internet of Things (IoT) edge devices with Sasan Montaseri, founder of ITTIA LLC and maker of ITTIA DB SQL secure data management and processing software for embedded devices.
A key to IT-OT convergence is device data management solutions for effectively monitoring, processing and managing large amounts of data from IoT devices. Traditional embedded database solutions fall short in understanding and fulfilling the sophisticated data processing and management requirements of IoT devices.
In an episode for The IoT Radar, Wisse Heetinga met with Sasan Montaseri, Founder of ITTIA to talk about the new version of ITTIA DB SQL., version 8.0. Wisse is an international publisher and technology expert who has studied and has been teaching electronics.
Max Maxfield is the Editorial Director of Embedded.com and the Technical Content Director for the Embedded Systems Conference (ESC). He has published his recent Internet of Things (IoT) discussion with Sasan Montaseri, the founder of ITTIA. He shares how data management and connectivity plays an important role in the IoT arena and how he considers that data is king.
Data management software provider ITTIA (Bellevue, WA) has teamed with Green Hills Software (Santa Barbara, CA), INTEGRITY Security Services (San Francisco, CA), and Crank Software (Ottawa, Ontario, Canada) to create a joint platform approach to enable automobile manufacturers to capture, query, and share data securely and efficiently.
Medical device manufacturers have a tremendous opportunity to improve patient health care and boost the productivity of nurses and physicians with innovative products based on the latest microcontrollers and embedded processors. These technologies are a source of great excitement, offering full multipurpose computing capability and significant storage capacity with low power requirements and cost. Data management is an important component of these mission-critical devices, which demand increasingly scalable storage that is safe and reliable. Selecting the best strategy for data management is a fundamental challenge of product development that requires both expertise and capable tools.
The advancement of science in the medical field has allowed human beings to expect a better prognosis of recovery after a serious illness, and a longer life span overall. In this article on Embedded Computing Design, we share how intelligent medical devices benefit from embedded a database to manage risk.
Developers and managers generally start their projects with a set of common questions. What are the important characteristics for selecting an embedded database for an industrial automation system? What can a database offer beyond recovery from power failure, preventing data loss, or reducing flash media wear? What are the hidden costs when selecting an embedded database?
ITTIA announced a design win for its lightweight embedded ITTIA DB SQL database in Wasserbauer's uClibc Linux based "Butler Gold" robot designed to feed cattle.
The internet of things (IoT) is all about sensor data and communications. It involves some entity taking the data it receives, making some complex (or even simple) calculations, and then making decisions for the purposes of control or informing someone or something. Of course, there’s more than one way to do this.
ITTIA has added new capabilities to ITTIA DB SQL that empower embedded systems to store a large volume of data in-memory for processing and analysis. Applications use this technology to find specific details in a very large data set and perform complex queries in seconds.
We are entering an era of ubiquitous computing, in which billions of devices will be able to record vital information and communicate both with the Internet and each other. To manage the data stored on these devices, application developers must find a way to organize information efficiently, protect valuable data from failure, and accurately communicate with other systems. Embedded database software has proven to be the most effective technology for storing, managing and distributing data to other connected systems.
The 21st century is witnessing significant change; devices are becoming smarter by connecting to the Internet, supporting intelligent interaction and rational decision-making. While modern life becomes more dependent on devices, have we reached a point where they need each other more than they need us?
ITTIA has introduced version 6.0 of its flagship database software, ITTIA DB SQL, which brings new intelligence to data management on embedded systems and devices with true peer-to-peer replication.
As the Internet of Things (IoT) will soon comprise billions of connected devices, discovery of proximate devices is a key component of new applications. By advertising and discovering nearby database replication services, ITTIA DB SQL 6.0 greatly simplifies interoperability between home automation systems, automotive entertainment systems, mobile handsets, and more.
The Internet of Things requires cooperation between five distinct elements: Things, Hubs, the Cloud, Phones, and Computers. Each element uses a stack of hardware and software technologies to interact.
Our world is surrounded by electronic and wireless devices. Managing all the different types of machines we have to deal with every day has encouraged technologists to have them connected so they are able to communicate with each other and perform tasks independently. This technology, which is known as Machine-to-Machine (M2M), is the science of enabling devices to manage and communicate data so they require the least human presence or manual programming.
© 2000–2024 ITTIA L.L.C. All rights reserved.
