McObject LLC

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• ARF mitigates connectivity issues
• An 8KB or LESS Edge Client
• The only HARD real-time DBMS
• In-memory and/or persistent
• Pipelining for the lowest possible latency
• Multiple indexes including ANN & Patricia trie
• 99.999% HA
www.McObject.com

Don’t lose your head over IoT connectivity issues. Active Replication Fabric(TM) mitigates data loss between device and ...
10/29/2026

Don’t lose your head over IoT connectivity issues. Active Replication Fabric(TM) mitigates data loss between device and server.

Learn more: https://t.ly/Frightening

Do you need hard real-time processing AND/OR 6X better performance on flash? Learn more about eXtremeDB/rt https://t.ly/...
10/28/2026

Do you need hard real-time processing AND/OR 6X better performance on flash? Learn more about eXtremeDB/rt https://t.ly/6X_Better

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We're excited to announce, "McObject and PX5 RTOS Expand Hard Real-Time Data Management for STM32 Microcontrollers".Expa...
10/27/2026

We're excited to announce, "McObject and PX5 RTOS Expand Hard Real-Time Data Management for STM32 Microcontrollers".

Expanded integration combines hard real-time database scheduling with PX5 RTOS, transactional database storage, and broad support for STMicroelectronics’ STM32 platforms. Read the press release:
https://t.ly/eXtremeDB/rt-PX5-STM32

We invite you to read the article, "5 Hidden Challenges of Remote & Battery Powered IoT Systems — and How McObject’s Act...
10/26/2026

We invite you to read the article, "5 Hidden Challenges of Remote & Battery Powered IoT Systems — and How McObject’s Active Replication Fabric™ Solves Them". https://t.ly/5_IoT_Solutions

Building IoT systems that live at the edge—often remote, mobile, or battery powered—sounds straight forward until you confront the realities of the field. These devices don’t behave like always connected servers. They disappear. They sleep. They wake up unpredictably. And they certainly don’t wait for your backend to be ready.

This article lists five challenges that consistently trip up even seasoned IoT teams—and how McObject’s Active Replication Fabric turns those challenges into non issues.

Need platform independent interoperability? A way to mitigate IoT connectivity issues? An 8 KB or less edge client? Data...
10/22/2026

Need platform independent interoperability?
A way to mitigate IoT connectivity issues?
An 8 KB or less edge client?
Data compression at rest and in transit?
Edge to cloud/server?
Learn more about eXtremeDB for the IoT https://t.ly/DBMS-4-IoT.

10/21/2026

A practical look at what a database costs in NAND writes with different storage architectures and what that means for choosing and sizing embedded flash.

There's a new Roadster getting attention for taking flight.For embedded engineers, it raises a more grounded question: c...
10/20/2026

There's a new Roadster getting attention for taking flight.

For embedded engineers, it raises a more grounded question: can the technology handle the demands of the actual system?

The same question should guide your choice of an embedded database.

How much data must stay on the device?
How often does it change?
Which queries need to run locally?
What are the memory and storage constraints?

Those answers matter more than a benchmark measured on someone else’s hardware.

A headline gets attention. Testing on your hardware tells you what fits.

At McObject, we develop the eXtremeDB database management system. We can provide benchmark source code so engineering teams can evaluate it on their own hardware with representative workloads.

If you’re reviewing local data management for an embedded product, we’d be interested to hear what you’re working on—and what your current approach needs to do better.

Learn more www.McObject.com

Read the article, "Time-critical sensor data fusion in mission-critical hard real-time applications". https://t.ly/2t482...
10/19/2026

Read the article, "Time-critical sensor data fusion in mission-critical hard real-time applications". https://t.ly/2t482

There are many use cases of time-critical sensor data fusion. These systems acquire data from multiple types of sensors and other sources, then conduct some analysis on the data to determine some action. For this to work, the system needs to be looking at a coherent set of data from a consistent time slice.

We invite you to read, “The Latency Dilemma: Steve Graves on Why Standard Flash Management Fails Time-Critical Systems” ...
10/16/2026

We invite you to read, “The Latency Dilemma: Steve Graves on Why Standard Flash Management Fails Time-Critical Systems” in ODBMS.org https://t.ly/Latency-Dilemma

In case you missed it, Hard “Real-Time Database Management on Raw Flash Memory: From Complex Infrastructure to Streamlin...
10/15/2026

In case you missed it, Hard “Real-Time Database Management on Raw Flash Memory: From Complex Infrastructure to Streamlined Drivers".
https://t.ly/nfVfr

Embedded systems are data-driven and demand structured persistence with predictable performance. Raw flash provides deterministic, low-latency access, while a real-time database management system (DBMS) supplies the infrastructure for transactions and recovery. This article demonstrates that only their combination delivers efficient, reliable storage for hard real-time tasks. Read the technical article in Embedded.com

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33309 1st Way So, Federal Way
Federal Way, WA
98003

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