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.

Not the right match-up?
FeatureMattermostSpark IM
Deploy effortUnder-an-hour setupRead-the-docs project
Health score99 · Excellent61 · Good
CategoryTeam ChatTeam Chat
LicenseAGPL-3.0Apache-2.0
LanguageTypeScriptJava
Setup difficultyMediumEasy
Min. RAM2,048 MB256 MB
Deploymentdocker, bare-metal, kubernetesbinary, source
GitHub stars★ 39,167★ 604
First released20162004
ReplacesSlack, Microsoft TeamsSlack, 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

Read the full Mattermost guide →

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
Mattermost details

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
Spark IM details

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.

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