Our only focus at McObject is database management systems. We are a dedicated group of specialists and invite you to watch the following on-demand database management Webinars.
Is Hard Real-Time Possible with a DBMS? Presented by McObject CEO and Co-founder, Steve Graves. A concise, 30-minute overview of the critical factors that are required in a DBMS to succeed in hard real-time systems.
Presented by McObject CEO Steve Graves at the EETimes Advanced Automotive Tech Forum.
Real-time is not the same as real fast. Speed is not the most important metric for real-time systems like ADAS – deterministic response time is. Speedy response is desirable, but speed alone does not guarantee timely response from a database system. For the same reason that real-time operating systems are used for ADAS, a real-time database system is needed. This presentation will explain the difference between a real-time database system and conventional database systems.
eXtremeDB/rt is the first and only commercial off-the-shelf (COTS) real-time database management system that meets the fundamental requirements of determinism and temporal consistency of data.
In addition to running within the resource-constrained environment of an embedded system, a hard real-time DBMS must operate within the confines of a stringent deadline. eXtremeDB/rt is a true, hard real-time database management system that extends normal database transaction management by incorporating time-cognizance.
90 second introduction to eXtremeDB/rt and how hard real-time systems differ from a non-real-time database.
7 minutes total. This introduction to eXtremeDB/rt reviews what it means to be a hard real-time database, and a brief explanation of features found in eXtremeDB/rt that guarantee both internal and temporal consistency of data.
A brief overview of the first COTS deterministic database for mission- and safety-critical systems.
What used to be “embedded systems” are now more popularly known as IoT edge devices and gateways. And, while they may retain many of the same characteristics of embedded systems of times past, there are also differences. This presentation explored those old and new characteristics, their implications on database management systems, and seeks to equip developers with knowledge they will need when considering database system alternatives.
Companies making virtually any kind of embedded systems are now faced with the daunting task of inter-connecting these devices into a larger communications system that provides intelligent guidance for the user and important analytics that measure efficiencies and capabilities of the resulting IoT system. Creating prototypes of the environment can be deceptively simple – engineering teams may be able to put together compelling proof-of-concept prototypes in a matter of days or weeks. However, scaling these prototype systems to industrial or residential scales dramatically increases complexity in terms of maintaining performance, obtaining the right precision for the application, and interfacing to external systems with collection and analytics capabilities. Hear industry experts discuss scaling prototypes to full blown IoT applications in residential and industrial applications in this this database management Webinar.
*Originally hosted by Open Systems Media.
Understanding how to scale IoT applications from prototype to production is a critical component in IoT deployment success. In Part I of this Webinar, the IoT panel discussed scaling by sensors, performance, users, and geography. In Part II, industry experts focus on IoT industries and applications, describe the scaling considerations, and then review the tools, architectures and key components used to move the application from prototype to successful deployment. Join industry expert panelists, including McObject CEO Steve Graves, as they cover a range of topics from scaling dimensions and associated challenges such as field upgrades, to deployment management, and security issues as IoT deployments scale. This database management Webinar was sponsored by McObject, Ayla Networks, Intel, Red Hat and RTI.
Memory management is a key programming concept for eliminating the possibility of bottlenecks and failure in embedded software. This Webinar presents memory management techniques to optimize code, focusing on the beneficial role of highly efficient custom allocators.The solutions presented retain the power and flexibility of dynamic memory management while mitigating common risks, and improving efficiency and performance.
This Web seminar highlights the issue of operational continuity: how can a database system survive the failure of the software or hardware environment in which it operates? How can it deliver high performance as well as fault-tolerance? Led by McObject CEO Steve Graves, this Webinar presents development solutions that address the “always on” needs of fault-tolerant systems, while taming these applications’ growing data complexity.
Are you using indexes to enhance performance in locating data objects in embedded software? The right index can boost lookup speed logarithmically, and reduce RAM and CPU demands. While the B-Tree is the best known index, many others can be more efficient in specific circumstances, such as geospatial/mapping and telecom/networking applications. This Webinar examines less well-known indexes including T-Tree, Hash table, R-Tree, Patricia trie and others. It emphasizes index implementation methods that avoid data duplication, to minimize an memory footprint.
View short segments from the Webinar about Patricia trie, T-tree, B-tree, R-tree and Hash indexes.
Deployment on multi-core CPUs should make software faster. But processes running in parallel often contend for system software resources, actually reducing overall performance. Achieving multi-core’s promised linear performance gains hinges on resolving this issue. This Webinar looks at two such conflicts — contention in updating a shared data store, and threads vying for access to the C/C++ memory manager — in-depth, and addresses them with techniques that can provide the basis to solve other multi-core resource conflicts.
Applications that manage data (that is to say, nearly all applications) are at risk for data corruption, and its resulting garbage output, crashes and drain on firms’ technical resources. This DBMS Webinar explains why corruption occurs and provides strategies to prevent it, focusing on hidden dangers – like storage device settings that can undermine data consistency – as well as more recognizable risks, such as passing wrongly typed data to a database run-time.
In-memory database systems (IMDSs) are held out as the ideal database solution for real-time and embedded systems software. But what is unique about IMDSs versus caching, RAM-disks, “memory tables”, and solid-state disks? In fact, the differences are significant, and can be critical to your embedded software projects. Join McObject CEO Steve Graves to explore this topic, including the limitations (and burden) of database caching; data transfer and duplication; volatility and recoverability, and more. Gain ideas and techniques for building better, faster software.
Automation and control systems’ data management needs are changing, driven by decentralized architectures and the need to manage growing volumes of complex information. Developers increasingly rely on off-the-shelf real-time database systems to address these challenges. To understand the industrial control applications’ emerging database needs, join us for this Webinar, which concludes with two case studies.
The advantages of proven, third-party database software for embedded systems are great. But the sheer volume of database technology options is huge, and choices can significantly affect results. This Webinar provides a roadmap, looking at critical distinctions such as client/server vs. in-process architecture, SQL vs. navigational APIs, and different approaches to fault-tolerance.
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.
Data availability has emerged as a serious bottleneck for today’s high volume Web-based services and data center applications. Disk-based storage severely cramps data availability. Traditional object caching solutions provide speed by keeping some records in memory. But they lack means for recovery or ensuring data consistency in the event of system failure. This Webinar explores the In-Memory Database System (IMDS) as a solution that blends the speed and data availability of caching with the durability, safeguards on data integrity, and sophisticated querying capabilities that are DBMS hallmarks.
With a lightweight, embedded all-in-memory database system, it is possible to integrate a very low-overhead, yet full-featured, database engine in the operating system kernel, to provide database services for kernel-based application code. This eliminates the context switches imposed by accessing a database in user space, and can improve performance dramatically. McObject’s eXtremeDB Kernel Mode is the first database system designed explicitly for kernel mode deployment. This presentation looks at key issues in kernel-mode database deployment, and presents the successful use case of a kernel mode database integrated within an embedded security application.
Learn more about eXtremeDB Kernel Mode.