Features to optimize Telecom/Network data management and the research to back them up
Modern telecom and networking devices manage large volumes of complex data and demand stellar low-latency performance and lasting reliability. eXtremeDB has been at the core of network equipment for years. The eXtremeDB data management solution for telecom and networking: real-time performance, high availability, Patricia trie indexes and more!
Built on the already dependable eXtremeDB, eXtremeDB-HA was designed to power aerospace and defense, process control systems, telecom and network gear, and other mission critical systems with demanding “five-nines” reliability (99.999% up-time).
Patricia trie and other indexes
The Patricia trie algorithm is optimized to perform quick IP address prefix matching for IP subnet, network or routing table lookups. Review a list of offered indexes, or watch the Patricia trie segment from the Webinar: Using Data Indexes to Boost Performance and Minimize Footprint in Embedded Software
eXtremeDB provides full DBMS features with minimal CPU, RAM and storage demands. This results in lower hardware component costs, with the savings in manufacturing dropping directly to the bottom line.
A simple database schema (design) notation adds persistent storage for specified records in an eXtremeDB database. Optimize embedded software for persistence and performance as well as cost (byte-for-byte, disk storage can be cheaper than RAM) and form factor (disk storage can be physically smaller).
Software bugs are time-consuming and expensive. eXtremeDB’s type-safe C/C++ API is a key tool that eliminates a common category of error, and its other advanced debugging features add further stability.
ACID (Atomic, Consistent, Isolated and Durable) transactions offer the gold standard in protecting data integrity. Learn about this and other features eXtremeDB provides to maximize database reliability.
Webinars for Professional Developers
We invite you to watch the many on-demand Webinars hosted by McObject database experts, such as Data Acceleration and Business Continuity with McObject’s eXtremeDB Cache, illustrating why eXtremeDB is the ideal database for telecom and networking.
Review our list of Webinars
Articles for Professional Developers
- “A McObject Focus—What’s Changing in the Satellite Industry?” SatMagazine
- “Industrial Internet of Things (IIoT) Database Usage in Rail Systems” insight.tech
- “SCADA as You’ve Never Seen It Before“ Nuclear Engineering International
See a list of articles
Articles about data management solutions
Database management system solutions are our only focus at McObject. We are proud to employ some of the best database management system specialists in the field, and invite you to read these and other published articles.
Change Data Capture in Embedded Databases
Embedded Computing Design CDC in embedded database systems can be implemented in several different ways that are sometimes invisible to applications, and ways that applications can exploit for data sharing, responding to events, and incremental back up. Learn more about Change Data Capture with eXtremeDB.
The Future of Embedded Databases
Insights Tech the Future Challenges and solutions for managing IoT data at rest and in flight.
What is a Distributed Database System?
IoT Agenda.TechTarget An in-depth article about three use cases integral to the deployment of scalable and reliable IoT systems.
Have a question?
We hope you can find the answers to your questions when you search our site and online documentation. If you don't, we would like to help. Call us at +1-425-888-8505, or send us an email. We'll get back to you as soon as we're able.
Have a question?
We hope you can find the answers to your questions when you search our site and online documentation. If you don’t, we would like to help. Call us at +1-425-888-8505, or send us an email. We’ll get back to you as soon as we’re able.
The Role of In-Memory Database Systems for Routing Table Management in IP Routers
This paper examines using the in-memory database systems (IMDS) to add RTM development flexibility, data integrity and fault tolerance.
Portability Techniques for Embedded Systems
Truly portable embedded systems data management code carries its optimization with it, requiring the absolute minimum adaptation to deliver the best performance in new environments.
Will the Real IMDS Please Stand Up?
Real v. imitation in-memory database systems. Understanding the distinction is critical to determining the performance, cost and ultimately the success or failure of a solution.
Distributed Database Systems and Edge/Fog/Cloud Computing
A distributed database system is one in which the data belonging to a single logical database is distributed to two or more physical databases. Beyond that simple definition, there are a confusing number of possibilities for when, how, and why the data is distributed.
Gaining an Extreme Performance Advantage
Financial systems, telecommunications and Cloud-based software-as-a-service (SaaS) are a few of the application types that bump up against the performance limits of database management system (DBMS) software. In-memory database systems (IMDSs) eliminate much of the latency associated with traditional DBMSs, but some applications require higher data durability (i.e. recoverability if volatile memory is disrupted). As a solution, IMDSs offer transaction logging – but critics object that logging re-introduces storage related latency.