Notion organizes your notes. Glue organizes your code intelligence. One is a wiki, the other is a codebase window.
If you are evaluating Notion for product management, you are not alone. Notion has become a default workspace for startups and growing teams who want docs, wikis, and project boards under one roof. But product managers increasingly need more than organized pages. They need tools that surface context from live systems, connect decisions to code, and reduce the time spent hunting for information across tabs. That is where Glue takes a fundamentally different approach.
This comparison breaks down how Notion and Glue serve product teams, where each tool shines, and how to decide which one fits your workflow.
| Capability | Notion | Glue |
|---|---|---|
| Document and wiki management | Excellent. Flexible pages, databases, and templates | Lightweight docs with AI-generated context |
| Sprint and project tracking | Basic boards and timelines; requires manual setup | Connects directly to engineering systems for live status |
| AI features | Notion AI for drafting and summarization | AI grounded in your codebase, tickets, and product data |
| Codebase awareness | None | Indexes repos, PRs, and commits for product-level insight |
| Stakeholder updates | Manual. Copy-paste from boards into status docs | Auto-generated from real project activity |
| Integrations | Wide marketplace (Slack, Jira, GitHub, etc.) | Deep bidirectional sync with dev tools (GitHub, Linear, Jira) |
| Pricing model | Per seat, with AI as add-on | Per seat, AI included in all plans |
| Best for | General-purpose team workspace | Product teams working closely with engineering |
Notion is genuinely strong as a flexible workspace. Its block-based editor lets you build anything from meeting notes to product requirement docs to company wikis. For early-stage teams who want a single tool for everything, Notion delivers.
Customizable databases. Notion databases can serve as lightweight project trackers, CRM tables, content calendars, and more. The ability to create views (board, table, timeline, calendar) on a single dataset gives product managers flexibility without needing a dedicated PM tool.
Templates and community ecosystem. Thousands of community-built templates mean you can start with a PRD format, OKR tracker, or sprint board in minutes. For teams that do not want to configure complex tooling, this matters.
Notion AI for writing. The built-in AI assistant helps draft documents, summarize pages, and answer questions about your workspace content. For writing-heavy PM workflows, this saves real time on first drafts and documentation cleanup.
Broad adoption. Notion is already in use at many organizations across departments. If design, marketing, and engineering all use Notion, keeping product work there reduces context-switching between platforms.
Collaboration and permissions. Notion handles multi-team access well. You can set up shared spaces for cross-functional projects, restrict sensitive pages, and give external stakeholders guest access. The permission model is granular enough for most organizations without requiring an admin to manage everything.
Glue is built specifically for the gap between product and engineering. Instead of being a general workspace, it focuses on giving product managers real-time understanding of what is happening in the codebase, in tickets, and across the development lifecycle.
AI grounded in your actual systems. Glue does not just summarize text you have already written. It connects to your repositories, pull requests, CI pipelines, and issue trackers to answer questions like "What shipped last week?" or "What is blocking the payments feature?" with data pulled from live sources. This is a different category of AI than document summarization.
Automatic status tracking. Product managers spend hours each week compiling updates from Jira, GitHub, Slack, and Linear. Glue generates stakeholder-ready updates from actual engineering activity, so the information is accurate and current without manual assembly.
Codebase-level product context. When a PM needs to understand how a feature works, what dependencies exist, or why a technical decision was made, Glue provides answers drawn from the code itself. This is not possible in Notion, which only knows about content that someone has manually entered.
Decision tracking tied to implementation. Glue links product decisions to the PRs and commits that implement them. Six months later, you can trace why a feature was built a certain way without digging through Slack threads or outdated wiki pages.
Onboarding acceleration. New product managers joining a team typically spend weeks reading through wikis and asking colleagues for context. Glue lets new PMs ask questions about any feature, service, or past decision and receive answers backed by the actual codebase and ticket history. This compresses ramp-up time significantly compared to reading static documentation.
Notion is the better choice when your primary need is a flexible, company-wide workspace. Specifically:
Glue is the better fit when the connection between product and engineering is where you lose the most time. Consider Glue when:
Yes, and many teams do. Notion and Glue serve different layers of the product workflow.
Use Notion as your company-wide workspace for documentation, meeting notes, company wikis, and cross-functional planning. Use Glue as your product-engineering bridge for status tracking, codebase understanding, sprint visibility, and technical context.
The two tools are complementary rather than competing. Notion stores what you write. Glue surfaces what is happening. Product teams that adopt both typically keep Notion for long-form documentation and stakeholder-facing materials while relying on Glue for the real-time, engineering-connected work that Notion was never designed to handle.
The key question is whether your biggest productivity gap is in documentation and organization (choose Notion) or in understanding and coordinating with engineering (choose Glue). For most product teams at scale, the answer is the latter, and that is exactly the problem Glue was built to solve.
One practical pattern: use Notion for PRDs, meeting notes, and company-wide knowledge bases. Use Glue when you need to check feature progress, understand technical constraints, or prepare for sprint reviews with accurate data. This split keeps each tool doing what it does best and avoids forcing either tool into a role it was not built for.
Can Glue replace Notion entirely for product teams? Glue is not a general-purpose wiki or document editor, so it does not replace Notion for company-wide documentation. It replaces the parts of your workflow where you manually gather engineering context, compile status updates, and try to understand what is happening in the codebase. Teams typically keep Notion for docs and add Glue for engineering-connected product work.
Does Notion AI provide codebase-level insight like Glue? No. Notion AI operates on the content stored within your Notion workspace. It can summarize pages, draft text, and answer questions about your documents. It cannot access your GitHub repos, parse pull requests, or analyze code. Glue is built to index and reason over your entire development ecosystem.
How difficult is it to set up Glue alongside Notion? Glue connects to your existing tools (GitHub, Linear, Jira, Slack) through native integrations that take minutes to configure. There is no migration from Notion required because the tools serve different purposes. Most teams are up and running with Glue within a day.
Jira tracks tickets. Glue shows you the code behind them. Why teams use both.
Productboard manages roadmaps. Glue shows you what your codebase can actually do. See the full comparison.
Copilot writes code. Glue reads it for the whole team. Fundamentally different tools for different problems.