Mattermost vs Spark IM
A side-by-side comparison of two self-hosted team chat options — licensing, setup difficulty, resource needs, and what each one replaces.
| Feature | Mattermost | Spark IM |
|---|---|---|
| Deploy effort | Under-an-hour setup | Read-the-docs project |
| Health score | 99 · Excellent | 61 · Good |
| Category | Team Chat | Team Chat |
| License | AGPL-3.0 | Apache-2.0 |
| Language | TypeScript | Java |
| Setup difficulty | Medium | Easy |
| Min. RAM | 2,048 MB | 256 MB |
| Deployment | docker, bare-metal, kubernetes | binary, source |
| GitHub stars | ★ 39,167 | ★ 604 |
| First released | 2016 | 2004 |
| Replaces | Slack, Microsoft Teams | Slack, Skype |
What are Mattermost and Spark IM?
Mattermost
Mattermost is an open-source, self-hostable messaging platform focused on secure collaboration for technical teams. It targets organizations with privacy or compliance needs. It is deployed via Docker, packages, or Kubernetes.
- Channels, threads and search
- Strong DevOps integrations
- Self-hosted and on-prem focus
- Playbooks and boards
Spark IM
Spark is a full-featured, cross-platform XMPP instant messaging client with group chat, file transfer, and strong support for the Openfire server. It is aimed at organizations running their own chat infrastructure.
- XMPP desktop client
- Group chat and file transfer
- Tight Openfire integration
- Cross-platform
Mattermost vs Spark IM: key differences
Mattermost is written in TypeScript, while Spark IM is built with Java. Licensing differs — AGPL-3.0 for Mattermost versus Apache-2.0 for Spark IM. Spark IM is the lighter option, starting around 256 MB of RAM against 2,048 MB for Mattermost. Spark IM is the more established project (first released 2004), while Mattermost arrived in 2016. Mattermost has the considerably larger community, at 39,167 GitHub stars versus 604. Mattermost lists first-class Docker deployment; Spark IM does not.
Why pick each one
Choose Mattermost if…
- Great for technical teams
- Strong security posture
- Good integrations
Watch out for
- Enterprise features gated
- Needs a real database
Choose Spark IM if…
- Released under the Apache-2.0 license
- Easy to set up — beginner-friendly
- Written in Java
- Tiny footprint — runs in 256 MB RAM
Frequently asked questions
Is Mattermost or Spark IM better?
Neither is universally better. Mattermost has the larger community, while Spark IM is simpler to set up (easy difficulty). Choose based on the comparison table above and your own setup.
Are Mattermost and Spark IM free and open-source?
Yes. Mattermost is licensed under AGPL-3.0 and Spark IM under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Mattermost and Spark IM with Docker?
Mattermost: yes. Spark IM: check the project docs for container support.
Which is lighter on resources, Mattermost or Spark IM?
Spark IM has the smaller minimum footprint at 256 MB of RAM, compared to about 2,048 MB for Mattermost. Real-world usage depends on library size, user count, and enabled features.