AppFlowy 0.7 surge and the shift in team workspaces

The economic pressure to migrate

The AppFlowy 0.7 surge is driving many engineering startups to reconsider their reliance on Notion. I see teams with fewer than 25 developers choosing AppFlowy to eliminate the $480 to $1,200 monthly bill they would otherwise pay for 50 Notion users. You probably already know that Notion’s per-user pricing scales poorly for growing teams. While Notion scales for enterprise users via cloud infrastructure, AppFlowy relies on the hardware and resources a team allocates to its own self-hosted server instance.

Teams wanting to control where their information lives choose AppFlowy because they can deploy it on their own hardware or in air-gapped environments using Docker or Kubernetes to ensure they meet strict security and compliance requirements. This level of control is a significant departure from Notion, which is a proprietary SaaS platform that requires organizations to cede control over their data and infrastructure. AppFlowy provides a specific set of database views for its users. It includes Grid, Kanban, Calendar, Gallery, List, Timeline, Feed, Form, and Chart views. Users also use advanced filters, two-way relations, and rollups to manage their information. This functionality helps teams move workflows from Notion without rebuilding everything from scratch. I find the migration process through Markdown and CSV imports to be efficient for most basic needs.

Automation and the local-first push

Automation is the new battleground for productivity tools. Notion released Custom Agents in February 2026 to act as autonomous workers. These agents run tasks like triaging tickets or writing weekly sprint recaps without manual prompts. Notion reported that early testers created over 21,000 Custom Agents during the beta period. Obsidian countered in February 2026 with an official command-line interface. This CLI allows users to create daily notes or rename files through shell scripts and cron jobs.

The divergence in AI strategy is equally distinct. Notion AI relies on third-party, cloud-hosted AI services. In contrast, AppFlowy allows teams to run local AI via Ollama or LMStudio. This flexibility is vital for organizations with strict data residency requirements. Obsidian also focuses on a local-first approach, using Markdown files stored on a device to provide users with full control over their files. I find that these automation updates move tools from passive note-takers to active collaborators.

Data control and the final verdict

Data sovereignty remains the primary driver for the migration toward open-source tools. Notion keeps all user data on its proprietary cloud servers, which creates vendor lock-in through closed-source data formats. AppFlowy uses Rust and Flutter to provide fast native desktop performance and allows for complete data ownership. However, I find that AppFlowy’s requirement for a separate backend synchronization service via Docker creates a steep hurdle for teams without dedicated IT staff. I also find the reported bug where AppFlowy deletes toggles and page titles particularly concerning for users managing long-term diaries or sensitive documents.

The choice between these platforms depends on how a team manages its technical stack. Small, non-technical marketing teams will likely prefer the instant cloud setup of Notion. Engineering teams that need to meet security and compliance requirements through air-gapped environments will find AppFlowy more capable. Will AppFlowy reach full parity with Notion’s advanced Map views before more large enterprises switch? I conclude that AppFlowy is the superior choice for technical teams who prioritize data ownership over instant cloud setup.