BigBlueButton vs. Jitsi Meet: Resource Usage and Feature Matrix

Choosing between BigBlueButton and Jitsi Meet is partly a feature decision and partly a capacity-planning decision. Their published server recommendations are not a head-to-head benchmark: each describes its own architecture and expected workload. A useful comparison starts with what people need to accomplish, then checks how the actual deployment behaves under that workload.

For a concrete example, imagine a community college hosting 10 weekly classes with 25 to 40 learners each. Instructors need slides, polls, breakout discussions, and recordings. The IT team has a fixed monthly server budget and wants to avoid buying capacity that sits idle. This is an illustrative planning scenario, not a report of a real deployment or a test result.

Quick comparison

Resource usage: what the published numbers do and do not mean

The BigBlueButton 3.0 installation guide recommends, for production, Ubuntu 22.04 64-bit, 16 GB of memory with swap enabled, 8 CPU cores with high single-thread performance, and a dedicated server. It lists 500 GB or more of free disk for recordings, or 50 GB if recording is disabled. Its relaxed 4-core/8-GB profile is described for local development with few users; it should not be repurposed as a production capacity promise.

The Jitsi Meet requirements guide, updated October 5, 2026, usually suggests 8 GB RAM, with 4 GB for small meetings and 2 GB for test or very small meetings. It recommends a scalable design for big meetings and says that four dedicated CPU cores can be enough for a basic server. These are vendor sizing suggestions, not a guarantee for a particular participant count. Jitsi's scalable deployment guide describes a central Meet server plus separate videobridges and gives example machine sizes. It explicitly identifies the videobridge as the first limiting component in a single-server installation.

On paper, Jitsi appears to have a lower entry point for a small meeting service. That does not establish that it is more efficient for the college example. BigBlueButton's production baseline includes a dedicated, classroom-oriented server profile; Jitsi's low-end figures target small or test workloads. A meaningful decision requires the same real workload and service expectations on both platforms.

Recording changes the calculation

BigBlueButton's documented disk difference makes recording retention a first-order sizing choice. A team that disables recordings can provision less disk, but gives up replay and any workflow that depends on recorded sessions. Teams that keep recordings should budget for growth, backups, and retention rules rather than treating the initial free-space figure as a permanent allowance.

Jitsi's recording path adds a distinct resource pool. The Jitsi guide says one Jibri instance handles one meeting recording at a time; five concurrent recordings therefore require five Jibri instances. For a single recording, the guide lists at least 8 GB RAM for 1080x720 and 12 GB for 1280x1024, and advises against hosting Jibri on the same server as Jitsi Meet because recording can harm meeting performance and consume disk. The exact design depends on encoding settings and deployment choices, so count peak simultaneous recordings, not just total meetings.

Feature matrix: judge by the job participants need to finish

BigBlueButton's current documentation highlights classroom-oriented functions such as quizzes and multi-user whiteboards; its feature notes state that the multi-user whiteboard remains active across slide changes starting with 3.0.20, and that breakout rooms have it enabled by default. See the BigBlueButton 3.0 feature notes and server customization reference. Jitsi Meet separates the web client, Jitsi Videobridge, Jicofo, and optional services such as Jibri and Jigasi; its architecture guide is useful when mapping a feature to its operational component.

How to compare them without confusing RAM with quality

For the college example, first write down the expected peak rather than the weekly average: concurrent classes, participants per class, the percentage with cameras on, screen sharing, and simultaneous recordings. Use the same participant mix, network conditions, and quality targets in a staging evaluation. Keep software versions and host CPU class as comparable as possible. No official head-to-head resource benchmark is available in the cited guidance, so treat the vendor figures as starting points, not comparative test data.

• Track CPU per core and CPU steal. A real-time call can degrade even when total CPU looks moderate if one busy component or a contended VPS core is the bottleneck.
• Track memory and swap over the whole session. Record available memory at peak participation and while recording. Swap activity or memory pressure that coincides with freezes is a signal to investigate; adding RAM may help only if memory is the actual constraint.
• Track network throughput and packet quality. Media traffic depends on camera count, resolution, subscriptions, and network path. Check for packet loss, jitter, and saturated uplinks, not just the VPS's advertised port speed.
• Track disk space and I/O during recording. Verify that recordings finish, remain playable, and fit the retention window with room for backups.
• Track participant outcomes. Note reconnects, frozen video, delayed audio, failed room joins, and whether polls or breakouts complete. A system is not successful merely because it stays online.

Repeat the same scenario after each change. If video quality worsens while memory remains available but a CPU core is saturated, test a higher single-thread or dedicated-CPU plan. If one Jitsi videobridge is saturated while the Meet server is quiet, adding a bridge is more relevant than enlarging the central server. If Jibri load causes meeting problems, separate recording capacity or reduce recording concurrency. If network loss is the main signal, a larger RAM plan is unlikely to fix it.

Which one should you choose?

Choose BigBlueButton when the desired result is a structured class: instructors need presentations, polls or quizzes, breakout activities, shared whiteboard work, and a recording workflow. Budget against its production requirements and confirm that the VPS offers dedicated CPU performance. The tradeoff is a higher published starting footprint and potentially significant recording storage.

Choose Jitsi Meet when the desired result is a self-hosted meeting service with a flexible, modular architecture and the team can operate its components. It can be a practical fit for small meetings on a lower initial memory budget, while larger media workloads can scale through videobridges. The tradeoff is that features such as recording require extra components and operational planning; adding Jibri changes the resource picture substantially.

For either platform, upgrade or redesign when repeatable peak-load tests show a bottleneck that aligns with poor participant outcomes. If a modest class works cleanly but concurrent classes do not, test the peak-concurrency case before buying a much larger VPS. If you use a hosted service rather than self-hosting, its billing and capacity model may differ, so these server figures do not directly predict your cost.

Sizing references checked October 6, 2026. BigBlueButton values reflect its published 3.0 production installation guidance; Jitsi requirements were last updated October 5, 2026. Recommendations can change with releases, configuration, integrations, and workload.