Easy to work with and easy to implement and host it in the Azure cloud services.

In my opinion, Mattermost closely resembles Slack, offering an excellent interface for team interactions. I find the app particularly well-suited for use within internal teams.

Looking at Mattermost from my perspective as a data product officer, what stands out most is how it streamlines cross-functional collaboration in our data workflows. The combination of channels, direct messaging, and task assignment features works really well when I'm coordinating between data scientists working on models, engineers handling pipeline deployments, and business stakeholders who need updates. Instead of juggling Slack, email, and separate project management tools, I can keep conversations contextual and assign specific roles or tasks right within the chat threads. The threading feature is particularly useful during model reviews or when troubleshooting data quality issues - I can keep technical discussions organized while still giving business heads visibility into progress without overwhelming them with implementation details. The search functionality across all channels helps when I need to reference previous decisions or find specific code snippets that were shared weeks ago. And since it's self-hosted, our security team is happy with how we handle sensitive data discussions. The integration capabilities with our existing data stack (Jupyter, Git, monitoring tools) mean less context switching for the team. Overall, it's made our data product development cycles more transparent and collaborative across all the different roles involved.