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Data Acceleration and Business Continuity with McObject’s eXtremeDB Cache
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.
The eXtremeDB hybrid database enables the developer to combine both database paradigms – in-memory and on-disk – in a single database instance. Specifying one set of data as transient (managed in memory), while choosing persistent storage for other record types, requires a simple database schema declaration.
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” real-time 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?”