How to extend the RAM of BeagleBone Green ?


Is it possible to extend the RAM of BeagleBone Green to support MongoDB ?

Knowing that the map is characterized by:

  • Fully Compatible with BeagleBone Black

  • Processor: AM335x 1GHz ARMR Cortex-A8

    • 512MB DDR3 RAM
    • 4GB 8-bit eMMC on-board flash storage
    • 3D graphics accelerator
    • NEON floating-point accelerator
    • 2x PRU 32-bit microcontrollers
  • Connectivity

    • USB client for power & communications
    • USB host
    • Ethernet
    • 2x 46 pin headers
    • 2x Grove connectors (I2C and UART)
  • Software Compatibility

  • Debian

  • Android

  • Ubuntu

  • Cloud9 IDE on Node.js w/ BoneScript library

  • plus much more- ```
    debian@beaglebone:/var/lib/cloud9$ uname -a
    Linux beaglebone 4.9.82-ti-r102 #1 SMP PREEMPT Thu Feb 22 01:16:12 UTC 2018 armv7l GNU/Linux

    debian@beaglebone:/var/lib/cloud9$ cat /etc/*-release
    PRETTY_NAME=“Debian GNU/Linux 9 (stretch)”
    NAME=“Debian GNU/Linux”
    VERSION=“9 (stretch)”


If so, how does it work?


Sure it's possible to double the ram on the Green, you'll need to pay
$ to a service..

However, officially MongoDB developers have no plans to support 32 Bit
ARMv7 devices..

So why?...


You forgot the mailing list:

Based on MongoDB's development list, NOT MongoDB on the BeagleBone, or
ANY 32Bit ARMv7 based devices.

So use any other DB.


And what about MySQL ?

That could work too. Or PostgreSQL if you want something with a bit of

On Wed, 13 Jun 2018 22:09:14 +0100, Ichrak Mansour
<> declaimed the

And what about MySQL ?

  Recent Debian standard is to use the MariaDB forked from MySQL. Though
neither appears to be installed as standard on the BeagleBone images.


Is it possible to extend the RAM of BeagleBone Green to support MongoDB ?

I believe the limit for AM3358 is 1GB. Can SanCloud BeagleBone Enhanced work?

I have no idea about that really.

On Wed, Jun 13, 2018 at 11:12 AM, Ichrak Mansour

> so what are the database management systems bearable on BeagleBone?

The most obvious candidate is sqilite: super small, fast and nimble.