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Kernel Mode Database Systems for Embedded Applications
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 video about kernel mode databases 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.
eXtremeDB KM was the first database management system designed explicitly to run in the OS kernel. We can arrange a free trial. Please contact us at 425-888-8505 or email email@example.com.
Webinars for Professional Developers
Watch to on-demand Webinars, hosted by experts, about proven database management system practices. Watch “Eliminating Database Corruption“. Or, “Embedded Databases: Make or Break Technology Choices for High Performance Applications” and others.
Review our list of Webinars
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.
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.
Articles for Professional Developers
McObject database management system experts have been writing articles about database management systems for professional developers since 2001. Review a list of articles
- Change Data Capture in Embedded Databases Embedded Computing Design
- Comparing Optimistic and Pessimistic Concurrency Embedded Computing Design
- Industrial Internet of Things (IIoT) Database Usage in Rail Systems insight.tech
- The Importance of Distributed Databases for the Internet of Things Embedded Software Engineer – ESE Kongress edition, page translates
White Papers for Professional Developers
We have been testing, improving on, and retesting our software from the beginning in 2001 in order to provide our clients with the best possible data management solutions. Read “Database Persistence, Without The Performance Penalty” and more.
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White paper: Exploring Code Size and Footprint
The terms ‘code size’ and ‘footprint’ are often used interchangeably. But they are not the same; code size is a subset of footprint. This paper will explain the differentiation and relevance, then proceed to describe some of the techniques employed within eXtremeDB to minimize footprint.
White paper: Portability Techniques for Embedded Systems
Whether an embedded systems database is developed for a specific application or as a commercial product, portability matters. Most embedded data management code is still “homegrown,” and when external forces drive an operating system or hardware change, data management code portability saves significant development time. This is especially important since increasingly, hardware’s lifespan is shorter than firmware’s. For database vendors, compatibility with the dozens of hardware designs, operating systems and compilers used in embedded systems provides a major marketing advantage.
White paper: Will the Real IMDS Please Stand Up?
In-memory database systems (IMDSs) have changed the software landscape, enabling “smarter” embedded applications and sparking mergers and acquisitions involving the largest technology companies. But IMDSs’ popularity has sparked a flurry of products falsely claiming to be in-memory database systems. Understanding the distinction is critical to determining the performance, cost and ultimately the success or failure of a solution. This white paper examines specific products, seeking to answer the question, “is it really an in-memory database system?”