Edge Node Database Systems, the Internet of Things’ Hidden Workhorses

Are you creating software for a smart, connected device? One of the many “things” that make up the Internet of Things? McObject’s Webinar, “Edge Node Database Systems, the Internet of Things’ Hidden Workhorses” presents edge node DBMS requirements and a look at the field of available solutions. Topics covered include DBMS architectures, NoSQL, data complexity, off-the-shelf vs. roll-your-own data management approaches, and more. Learn about IoT data management approaches and challenges for developers.

Learn more about eXtremeDB for edge node database systems.

eXtremeDB with Active Replication Fabric™ offers reliable data management for IoT by solving 5 challenges for IoT system developers:
• Bidirectional Replication
• Intermittent connections
• Multi-tier replication (e.g. edge-to-gateway-to-gateway-to-cloud)
• Security
• Compression to maximize limited bandwidth networks

Best Development Tool & Operating System at IoT World

IoT Vendor of the Year 2018

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Embedded, Cloud, and IoT data management approaches

Articles

“The IoT Technology Piece No One Is Talking About” – Embedded Computing Design (Hint: it’s edge nodes, and we’ve been talking about it since 2016.)

DBMS white paper about Tries

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Webinar about IoT data management approaches

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Review our documentation after watching Edge Node Database Systems

HTML Documentation

Our HTML documentation includes an extensive online library to introduce eXtremeDB. It will walk you through the installation process, and the use of key features.

Online DBMS documentation menu items include:

The eXtremeDB Product Family
Supported Platforms
What’s New in This Release
Getting Started
Fundamental Concepts
eXtremeDB User’s Guides
Programming with eXtremeDB
SQL Samples
Using the eXtremeDB Feed Handler. Includes modules for Refinitiv (formerly Thomson Reuters) Elektron Message API (EMA) and Vela SMDS frameworks.
IoT edge data management

Is it an in-memory database system, or not?

When you hatch a database management system, it will, by design and implementation, be either an in-memory database system or an on-disk database management system. The choice affects the fundamental optimization strategies that will be baked into the database system code. To optimize an on-disk database is to minimize disk I/O, so its design will use extra CPU cycles and extra memory if doing so will reduce or eliminate I/O. Conversely, IMDSs by definition eliminate all disk I/O; their optimization is all about delivering the highest performance at a given level of processing power, thus reducing demand for CPU cycles is a key objective. And since memory is storage for an IMDS, reducing memory overhead (i.e. RAM consumed for anything other than storing data) is also a key objective.

A hybrid database

eXtremeDB enables the developer to combine in-memory and on-disk paradigms in a single database system. Specifying that data will be stored in memory (transient), or on disk (persistent), requires a simple database schema declaration. The resulting system retains in-memory strengths (speed, footprint, etc.), yet leverages the potential cost savings and durability of an on-disk database.

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Review the answers to common in-memory database questions
Contact a database expert

Mumbai-based 63 Moons, a global leader in offering technology and domain expertise in creating next-generation market solutions, has adopted the eXtremeDB IMDS in its real-time financial software. 63 Moons deployed eXtremeDB in its Microsoft Windows Server-based DOME (Distributed Order Management Engine) trading platform and in other products.

“eXtremeDB replaces the relational database management system (RDBMS) that previously supported middle-tier functions in existing products….A growing volume of data at this level of the system is what prompted our company to seek a database solution that offers greater efficiency than traditional RDBMS software, which has been a staple of financial markets for several decades.” – 63 Moons

BAE Systems integrates the eXtremeDB in-memory database for avionics in the Panavia Tornado GR4 combat jet. Within the aircraft’s Tornado Advanced Radar/Map Display Information System (TARDIS), eXtremeDB manages tactical information and is updated in real-time from multiple sources. The company chose eXtremeDB rather than developing its own database in order to reduce costs and shorten time-to-market.

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