Plane vs. Confluence: Which should you choose in 2026?

There is a deceptively simple question hiding inside a Plane vs. Confluence evaluation: why does the documentation live somewhere different from the work it exists to support?

For some organizations, that separation is useful. For others, it has quietly become part of the operating cost of the stack. Plane approaches the problem from the other direction, with work and knowledge sharing the same platform. This comparison examines what that architectural choice changes once AI, governance, deployment, integrations, migration, and total cost enter the buying decision.

Plane vs. Confluence at a glance

The table below separates the three operating models before the deeper comparison.

The sections that follow examine where these models differ in practice across knowledge architecture, execution, AI, governance, integrations, deployment, cost, and migration.

1. Knowledge architecture

Knowledge becomes harder to manage when teams lack a clear home for project, team, and organization-wide information. Plane organizes that knowledge around the part of the workspace that owns or uses it.

Plane: knowledge follows the work

Plane Pages can live in three places:

• Project Pages for documentation tied to a specific Project
• Workspace Wiki for knowledge that spans projects and teams
• Teamspace Pages for processes, guidance, and information maintained by a team

A product specification can live inside its Project, an architecture standard in the Workspace Wiki, and engineering onboarding or team guidance in a Teamspace. Pages can also move between these locations as ownership or use changes.

The available documentation structure expands by plan. Project Pages are available on Free. Pro adds Workspace Wiki, Collections, Page templates, and the ability to move Pages between Projects, Teamspaces, and Wiki. Business adds capabilities including nested Pages, Page labels, private Collections, private Wiki sharing, and inline comments.

At a high level, Plane's knowledge structure looks like: Workspace → Wiki/Teamspaces/Projects → Pages → nested Pages

This gives project, team, and workspace knowledge a defined home based on where it is owned and used.

Confluence: knowledge is organized through Spaces

Confluence organizes knowledge primarily through Spaces, which can contain pages, live docs, blog posts, whiteboards, databases, Smart Links, and slides.

That creates a dedicated knowledge structure that can be managed independently from the system used for project execution.

The practical difference

In Plane, the location of a Page connects knowledge directly to a Project, Teamspace, or the wider workspace. Confluence organizes knowledge through Spaces, with project execution handled separately when another work-management product is used.

For a deeper walkthrough of Plane's Page and Wiki model, see Plane Wiki and Pages: A guide to team documentation.

2. Documentation and work management

The clearest difference between Plane and Confluence appears when documentation needs to stay connected to active execution. Plane includes structured work management alongside Pages, while Jira becomes the relevant Atlassian product when teams need dedicated work tracking alongside Confluence.

Plane

Plane Projects bring Work Items, Pages, and project planning into the same environment. Depending on the plan, teams can connect documentation and execution in several ways:

• Keep documentation inside the Project. Project Pages can hold requirements, specifications, decisions, runbooks, and other material tied to the work being delivered.
• Embed Work Items in Pages. On Pro and above, the Work Item block displays a Project Work Item as a card with its current details.
• Link Pages to Work Items. On Pro and above, a Work Item can link directly to relevant Project or Workspace Wiki Pages, such as specifications or design notes.
• Mention Work Items inside Pages. On Business and above, teams can reference Work Items by title or ID directly in Page content.
• Create Work Items from Page content. On Business and above, selected Page text or list items can be converted into Work Items without leaving the Page.

A requirements Page can therefore live in the same Project as the implementation work it describes. The Work Items can then participate in the Project's Cycles, Modules, Milestones, dependencies, views, and workflow states, with availability depending on the relevant Plane plan and project configuration.

This gives teams a documented record of requirements and decisions alongside the structured work used to deliver them.

Confluence alone

Confluence supports several ways to coordinate work around content:

• Action items can be assigned to people directly from Confluence content and tracked through the Tasks view.
• Whiteboards can support planning, prioritization, retrospectives, and collaborative breakdown of work.
• Automation can run content and workflow actions at the site or Space level, with usage allowances varying by Confluence plan.

These capabilities can support teams whose work revolves primarily around documentation and lightweight task coordination. When requirements extend to dedicated work items, configurable workflows, backlog management, dependencies, planning, and delivery tracking, Jira provides the structured execution layer in the Atlassian stack.

Jira + Confluence

Jira and Confluence have direct integration points for moving between documentation and structured work. Teams can:

• Create Jira Work Items from highlighted Confluence content
• Create Jira Work Items while editing a Page or live doc
• Display individual Work Items or Jira query results inside Confluence
• Track Jira Work Item status from related Confluence content
• Link Confluence Pages and live docs back to Jira Work Items

This creates a connected Jira + Confluence workflow, with structured execution managed in Jira and documentation maintained in Confluence.

Plane handles those responsibilities within the same platform. Jira + Confluence connects them across two Atlassian products.

For a deeper comparison of Plane and Jira's work-management models, see Plane vs. Jira: Which should you choose in 2026?

3. AI and search

AI becomes more useful when it can work with the same context teams use to plan, document, and execute. In Plane, that context already includes Projects, Work Items, Pages, Wiki, and the surrounding workspace structure.

Plane AI works across native work and knowledge context

Plane AI can use workspace data for both information retrieval and work-management workflows. Current capabilities include:

• Workspace Q&A and natural-language interaction across work items, projects, Pages, and other supported workspace data
• AI-assisted Pages, including drafting, summarizing, rewriting, suggested edits, and AI blocks
• Text-to-PQL, which turns natural-language requests into editable Plane Query Language queries
• Interactive charts and PQL results generated from workspace data
• AI actions for creating and updating work through natural-language instructions
• AI Memory at user, project, and workspace levels, with stored context visible and editable in Plane

Availability varies by plan and workspace configuration. AI credit allocation is covered separately in the pricing section.

Plane's native Agents extend this model into recurring execution. Admins can configure an Agent's instructions, Projects, knowledge sources, and tools, while the Agent works against the same Projects and Work Items used by human team members. Agent activity remains attached to the work it performs.

Plane also provides an open-source MCP server for compatible AI clients and agent runtimes. External tools such as Claude, ChatGPT, Cursor, and other MCP-compatible clients can connect to Plane through OAuth, access tokens, or supported local transports.

For teams building AI-assisted delivery workflows, this gives Plane a direct advantage: the project work, documentation, AI context, and agent activity can operate against the same underlying work system.

AI governance in Plane

Plane gives native Agents their own identity and configurable execution boundaries inside the workspace.

Each Agent starts without access to Projects, the web, or external connectors. Workspace admins decide which Projects it can read and act in, whether it can use web search, which connected tools it can access, and which triggers can start a run.

For Project access, teams can grant an Agent:

• Selected Projects when its responsibility belongs to a defined team or workflow
• All Projects when it genuinely needs workspace-wide access

Granting Project access adds the Agent's bot identity to that Project with read and write access. Removing the Project removes that access and stops Project-based triggers from firing.

External connector access is controlled separately. Admins choose which connectors and tools an Agent can use, while the credentials used for those connections depend on how the run was started and how the Agent is configured.

MCP-connected workflows follow the permissions of the Plane identity used for the connection, giving teams another way to scope external AI clients and agent runtimes through Plane's existing authorization model.

For enterprise buyers, the important distinction is that native Agents have configurable scope inside Plane, while MCP-connected workflows inherit the access of the authenticated Plane identity.

Self-hosted AI gives infrastructure teams more control

Commercial self-hosted Plane supports customer-selected AI infrastructure. Teams can connect OpenAI, Anthropic, AWS Bedrock, OpenAI-compatible endpoints, or a local runtime such as Ollama.

This gives infrastructure teams several deployment choices:

• use their own provider credentials
• choose which model provider receives inference traffic
• switch supported providers without redeploying Plane
• use a private or local OpenAI-compatible endpoint
• run supported local models through Ollama
• Keep Plane-side AI history, actions, and usage logs within the self-hosted Plane environment

The resulting data boundary depends on the model configuration. A deployment using an external provider sends inference requests to that provider, while a compatible local model endpoint can keep model inference within customer-operated infrastructure.

For restricted or regulated environments, that distinction allows the AI architecture to be designed around the organization's infrastructure and data-boundary requirements.

Confluence and Rovo

Atlassian's Rovo provides Search, Chat, and Agents across Atlassian Cloud and supported connected sources. Rovo respects the permissions of the user and connected source systems, and Agents can use supported skills to perform actions in products such as Jira and Confluence.

The architectural distinction is relevant for this comparison. Rovo is designed to bring context together across Atlassian products and connected applications. Plane keeps project execution and documentation in the same work system, with Plane AI and native Agents operating directly against that shared context.

For an enterprise evaluation, compare:

• Context: Where does the project and documentation context live?
• Action: Can the AI act directly on the work your teams execute?
• Identity and permissions: Which identity performs actions, and what can it access?
• Data boundary: Where are prompts and inference requests processed?
• Auditability: Where can teams review AI or agent activity?
• Usage model: How are direct AI usage and agent execution measured and controlled?

These factors determine how well the AI layer fits the organization's existing security, governance, and delivery model.

4. Permissions, governance, and compliance

Plane applies access controls across the workspace, Projects, Teamspaces, and Pages, with additional enterprise controls for custom roles and permission groups.

Plane: governance across work and knowledge

Plane uses workspace and Project roles to determine what users can access and manage. Enterprise Grid adds Granular Access Control (GAC), allowing administrators to create custom workspace and Project roles from reusable permission groups.

Page access has an additional layer of rules based on where the Page lives, whether it is public or private, and how it is shared:

• Project Pages: Public Pages are visible to Project Admins, Contributors, and Commenters. Project Guests only see Pages they own. A private Project Page is visible only to its owner and cannot be shared with other members.
• Workspace Wiki: Public Wiki Pages are available to Workspace Owners, Admins, and Members. Workspace Guests cannot open the Wiki.
• Private Wiki Pages: These are visible to their owner and, on supported plans, specific Workspace members the owner shares them with. Plane does not provide a general admin override for another user's private Page.
• Private Collections: A private Collection creates a membership boundary inside the Wiki. Pages within it are visible to members of that Collection.
• Teamspace Pages: Teamspace Pages are always public within the Teamspace. Members can view and collaborate on them, while Workspace Owners and Admins retain administrative access across Teamspaces.

These Page-level rules sit alongside Plane's workspace and Project roles. GAC can change the capabilities assigned to enterprise roles, while Page visibility still depends on ownership, public or private status, sharing, Collection membership, and the Page's Project, Wiki, or Teamspace context.

Plane also supports enterprise identity and provisioning capabilities, including SAML and OIDC single sign-on, identity-provider group syncing, and, depending on plan and deployment, LDAP and SCIM provisioning. Workspace and Project roles remain separate, so a user can have standard workspace membership while holding a higher level of responsibility in a specific Project.

Confluence governance

Confluence controls access through site-level permissions, Space roles and permissions, and content-level restrictions. It also supports single-Space guests, public links on paid plans, and anonymous Space access where administrators enable it. Atlassian Guard adds organization-level identity, provisioning, authentication, data-security, and threat-management controls, with availability varying by Guard tier.

For organizations moving from Confluence, these controls should be mapped to Plane's workspace, Project, Wiki, Teamspace, Page, and Collection boundaries rather than treated as one-to-one permission objects.

Compliance and infrastructure responsibility

Plane's security and compliance program covers SOC 2 Type II, ISO 27001:2022, GDPR, and CCPA, alongside enterprise controls for identity, access, audit, and data protection

Infrastructure responsibility depends on deployment. Plane operates the Cloud environment, while self-hosted customers operate and secure their own infrastructure. The deployment implications are covered in the next section.

5. Integrations and ecosystem

For buyers, integrations matter in two ways: they connect the work platform to external systems teams rely on, and they extend the platform when a workflow requires custom tooling.

Plane's integration model

Plane supports native integrations across development, communication, monitoring, and customer workflows. Current integrations include GitHub, GitLab, Bitbucket, Slack, Sentry, HubSpot, and others, with availability depending on plan and deployment.

For teams building their own workflows, Plane also provides:

• REST API: 180+ endpoints for working with Projects, Work Items, Cycles, Modules, and other Plane resources
• Webhooks: workspace-level event delivery for connecting Plane activity to external systems
• OAuth 2.0 apps: scoped integrations that can act on behalf of Plane users
• MCP server: an open-source interface for connecting compatible AI clients and agent runtimes to Plane

GitHub and GitLab integrations can also connect cloud and enterprise or self-managed environments, which matters for organizations running their development infrastructure outside standard SaaS services.

Confluence and the Atlassian ecosystem

Confluence extends through Atlassian Marketplace and the broader Atlassian product ecosystem. For established Confluence environments, Marketplace apps and macros may represent workflows or capabilities that need to be accounted for if the organization moves platforms.

For a Plane evaluation, the practical question is which external systems the organization still needs to connect once project execution and documentation are handled inside Plane. Specialist Confluence extensions that remain business-critical should be assessed separately during migration planning.

6. Deployment and data control

Deployment becomes a major buying factor when an organization needs control over where its project and knowledge systems run. Plane offers a hosted Cloud service alongside Community, Commercial, and Airgapped self-hosted editions.

Plane Cloud

Plane Cloud is the vendor-hosted option, with Plane operating the application and underlying infrastructure. Organizations choose among Plane's Cloud plans based on the product, governance, security, and AI capabilities they require.

Plane Community Edition

Community Edition is Plane's open-source self-hosted edition, licensed under AGPL v3.0.

Its feature set is aligned with the Free tier of Plane Cloud. It does not include the Pro, Business, or Enterprise Grid feature sets. Organizations that need paid-plan capabilities move to the Commercial Edition.

Community is suited to teams that want to run Plane on their own infrastructure while retaining access to the open-source codebase.

Plane Commercial

Commercial is Plane's closed-source self-hosted edition and supports the Free, Pro, Business, and Enterprise Grid plans.

The Commercial Edition includes a Free tier with 12 seats per workspace. For paid self-hosted deployments, Pro and Business purchases currently start at a 10-seat minimum. Enterprise Grid is purchased through Plane's sales team.

Paid plans unlock the corresponding Cloud feature set on customer-operated infrastructure, while the organization retains responsibility for running and maintaining the deployment.

Plane Airgapped

Plane Airgapped is designed for environments that cannot rely on external internet connectivity. It extends Plane's Commercial capabilities into an isolated deployment with offline licensing and customer-controlled updates.

Airgapped is available exclusively with Enterprise Grid and currently requires a minimum commitment of 100 seats. Talk to Sales for pricing, trials, or possible exceptions to that threshold.

The application, database, storage, and supported integrations can operate within the organization's isolated network perimeter without runtime internet access.

Confluence Cloud and Isolated Cloud

Atlassian provides Confluence through its standard Cloud environment and Atlassian Isolated Cloud, a dedicated single-tenant cloud environment managed by Atlassian.

Isolated Cloud currently supports Confluence, Jira, Jira Service Management, Guard Standard, and Guard Premium. AI and Rovo are currently unavailable in that environment.

This gives organizations stronger infrastructure isolation while keeping infrastructure operation with Atlassian.

Confluence Data Center is on a defined exit timeline

Confluence Data Center remains available to existing customers during Atlassian's transition, but its purchasing and lifecycle deadlines now affect any long-term deployment decision:

• March 30, 2026: New customers could no longer purchase affected Data Center subscriptions or new Data Center Marketplace apps.
• March 30, 2028: Existing customers can no longer purchase new affected Data Center subscriptions or apps, or expand affected subscriptions.
• March 28, 2029: Affected Data Center subscriptions and associated Marketplace apps reach end of life and become read-only.

For buyers that require customer-operated infrastructure as an ongoing deployment model, this creates a clear distinction. Plane continues to offer Commercial self-hosting and Enterprise Grid Airgapped deployments to new customers, while Atlassian's long-term path for Confluence is centered on Atlassian-managed cloud environments.

7. Pricing and total cost of ownership

A useful price comparison starts with the configuration each organization would actually need. For teams evaluating both structured work management and documentation, that means comparing the required Plane plan with the Atlassian products, apps, and services that would make up the equivalent stack.

Current headline pricing

The prices below are based on Plane and Atlassian’s public pricing in October 2026 and may change as plans and packaging evolve.

Plane Pro adds capabilities such as Workspace Wiki, Teamspaces, Initiatives, dashboards, templates, and integrations. Business adds features including Intake via email and forms, recurring Work Items, nested Pages, Project templates, Customers, and additional workflow controls.

Teamwork Collection Standard bundles Jira, Confluence, Loom, Rovo, and Atlassian Platform apps under one subscription.

These prices are a starting point rather than a final quote. Atlassian pricing varies with user count and billing cadence, while Plane's $6 and $13 headline rates are billed annually.

Plane Cloud

Where Plane's native work-management and documentation capabilities cover the organization's requirements, the same paid seat can support both structured execution and team knowledge.

That can reduce costs tied to:

• separate work-management and documentation subscriptions
• administration across multiple products
• integrations maintained primarily to synchronize work and documentation

The actual savings depend on the Plane tier required and which specialist tools or workflows still need to remain outside Plane.

Plane self-hosted

Commercial self-hosted Plane uses the Pro and Business plan structure, with self-hosted checkout starting at 10 seats. Enterprise Grid and Airgapped deployments are handled through Plane's sales team.

Self-hosting also introduces infrastructure and operational costs, including compute and storage, networking and security, backups and recovery, monitoring, upgrades, and administration.

Those costs should be included when comparing customer-operated Plane with vendor-managed cloud services.

Jira + Confluence

For Atlassian, the relevant cost may come from separate Jira and Confluence subscriptions, Teamwork Collection, Marketplace apps, identity or security requirements, and any additional migration or administration overhead.

Teamwork Collection changes the comparison because it packages Jira, Confluence, Loom, Rovo, and platform capabilities under one subscription. Procurement should therefore compare Plane with the actual Atlassian configuration the organization would purchase, rather than automatically adding standalone Jira and Confluence prices together.

AI usage also belongs in TCO

AI usage should also be factored into the ongoing cost of each platform.

Plane includes a monthly AI allocation with its paid plans:

• Pro: 500 credits per seat/month, split into 400 individual credits and 100 Agent credits
• Business: 1,000 credits per seat/month, split into 800 individual credits and 200 Agent credits
• Enterprise Grid: unmetered AI usage with BYOK

Individual credits are assigned per seat and used for member-initiated AI, such as Plane AI chat, label prediction, duplicate detection, and chatting directly with an Agent. Unused individual credits do not carry over.

Agent credits are pooled across the workspace and used for autonomous Agent runs, such as when an Agent is mentioned in a comment, assigned to a Work Item, or triggered on a schedule. Both individual and Agent allocations reset monthly.

Plane AI is not currently available on Free workspaces.

Atlassian uses Rovo credits. Its published allowances are:

These allowances are per user per month and pooled at the organization level. Atlassian states that Rovo credit allowances and billing for additional usage take effect on December 3, 2026, with additional usage currently priced at $0.01 per credit.

The useful TCO comparison

For a realistic comparison, account for:

1. Subscriptions and required plan tiers
2. AI allowances and additional usage
3. Apps, add-ons, identity, and security requirements
4. Migration and user-transition costs
5. Administration and integration ownership
6. Infrastructure and ongoing operations for self-hosted deployments

Plane's TCO advantage is strongest when its native work-management and documentation capabilities cover the organization's requirements and replace products or integrations that would otherwise remain separate.

Moving from Confluence to Plane: What transfers and what takes work

Plane provides a first-party Confluence importer for Business and Enterprise customers on Cloud and self-hosted deployments. Migration effort depends on the complexity of the existing Confluence environment, particularly its hierarchy, permissions, specialized content, Marketplace dependencies, and Jira relationships.

What Plane's importer supports

Confluence imports can land in:

• Workspace Wiki
• a Project
• a Teamspace

This lets teams place migrated content according to how it will be owned after the move, such as company knowledge in Wiki, project documentation inside a Project, and team guidance within a Teamspace.

Plane supports Confluence imports from HTML ZIP and XML ZIP exports. Current importer capabilities include preserving Page hierarchy, formatting, links, attachments, and embeds. During 2026, Plane also added XML ZIP support, comment import, Gliffy-to-draw.io conversion, and reliability improvements for larger imports.

The October 6, 2026 v3.3.1 release added resumable uploads, retry handling for interrupted reads, import cancellation and reruns, and XML improvements for Collections, Space home pages, and root-page links.

What should be validated before the full migration

A successful import does not guarantee that every Confluence workflow, content type, or access model will map cleanly to Plane. Before committing to a full rollout, run a representative pilot against one of the organization's more complex Spaces and validate the areas that matter to day-to-day use.

A Confluence Space does not need to map to a single Plane location. Content can be distributed across Projects, Teamspaces, and Workspace Wiki according to who owns it and where it is used.

Migration effort increases with archive size, hierarchy depth, specialized content and Marketplace dependencies, permission complexity, and Jira or other cross-product relationships. Because these vary significantly between Confluence environments, there is no useful universal migration duration.

If Jira is also being replaced

Plan Jira and Confluence migration as coordinated workstreams with separate validation criteria:

• Confluence migration covers documentation, hierarchy, attachments, comments, links, access, and knowledge ownership.
• Jira migration covers Work Items, types, workflows, fields, dependencies, planning data, integrations, and execution history.

Both streams can then converge in the same Plane workspace, where migrated documentation and structured work can be reorganized around the target operating model.

Plane or Confluence: Which should you choose?

The decision comes down to the operating model your organization needs across work, knowledge, infrastructure, and AI.

Plane is the better fit when:

• Work and knowledge need to operate together
  Plane is a stronger fit when documentation supports active delivery and the organization wants structured work, planning, and project knowledge in the same platform.
• Deployment control matters
  Plane supports Cloud, Commercial self-hosting, Airgapped deployments, and an open-source Community Edition, giving organizations different levels of infrastructure ownership and network control.
• AI needs direct access to execution context
  Plane AI and native Agents work against Plane's own Projects, Work Items, Pages, and workspace context, while MCP provides a path for external AI clients and agent runtimes.
• A representative migration validates the fit
  Existing Confluence customers should confirm that their critical content, permissions, apps, Jira relationships, and workflows map cleanly to Plane before standardizing on it.

Confluence may still be the better fit when:

Confluence may remain appropriate when the organization primarily needs a dedicated knowledge platform and has limited reason to consolidate that knowledge with structured project execution.

That is most relevant when:

• Confluence Spaces and content structures are deeply established
• Databases, whiteboards, or specialized content are central to existing workflows
• External sharing or publishing processes depend on Confluence
• Migration effort would outweigh the expected value of changing the operating model

The key question is whether moving the knowledge layer creates enough operational value to justify the change.

Jira + Confluence may remain appropriate when...

Jira + Confluence remains relevant for organizations already running structured work and knowledge across the Atlassian stack, particularly when:

• Jira workflows and configurations are deeply embedded
• Jira Service Management or other Atlassian products are central to operations
• Marketplace apps support important workflows
• replacing both products would create a transformation cost greater than the expected benefit

For net-new teams, or organizations actively consolidating their delivery stack, Plane offers a simpler starting point with structured work and its supporting knowledge in the same platform.

Five questions to ask before you choose

At this stage, five questions usually determine whether Plane, Confluence, or Jira + Confluence is the better fit.

1. Does most of your documentation support active work?

If requirements, decisions, runbooks, project guidance, and technical documentation need to stay close to execution, evaluate whether Plane can cover both the work and the knowledge around it.

2. Are you comparing Plane with Confluence, or Plane with Jira + Confluence?

If you also need structured work management, compare Plane with the Atlassian configuration you would actually use, which may include Jira alongside Confluence.

3. Which parts of your Confluence environment are genuine dependencies?

Identify the apps, macros, content types, permissions, sharing models, Jira relationships, and integrations that would need to survive a move, then use them to define the migration pilot.

4. Which deployment and governance requirements are non-negotiable?

Establish requirements around hosting, air-gapped deployment, open-source access, identity, permissions, auditability, and AI data boundaries before comparing smaller feature differences.

5. Does consolidation create enough value to justify the move?

Once Plane's workflow and knowledge fit is validated, compare the operational benefit of bringing work and documentation together against migration, retraining, governance redesign, and any tooling that still needs to remain.

Bottom line

Plane is strongest for product, engineering, IT, and operations teams that want structured execution and the knowledge around it to live in the same platform. The fit is strongest when Plane's native workflows, documentation, governance, and deployment options cover the organization's actual requirements.

For existing Confluence customers, the next step is a representative pilot. Import real content, map it into Projects, Teamspaces, or Workspace Wiki, and validate the permissions, integrations, AI requirements, and workflows that matter in production.

Frequently asked questions

Q1. Can Plane replace Confluence?

Yes. Plane can replace Confluence for teams whose documentation needs are covered by Plane Pages, Workspace Wiki, and Teamspace Pages, especially when that documentation supports active project or delivery work.

Plane supports project and workspace documentation, nested Pages, Collections, comments, version history, templates, sharing, export, and connections between Pages and Work Items, with some capabilities depending on plan. Organizations moving from Confluence should validate specialized content, permissions, Marketplace dependencies, and migration fidelity before a full rollout.

Q2. Is Plane a good Confluence alternative for product and engineering teams?

Yes. Plane is a strong Confluence alternative for product and engineering teams that want documentation and structured project execution in the same platform.

Specifications, architecture decisions, runbooks, project documentation, and team knowledge can live alongside Projects and Work Items. Plane also includes planning, workflows, reporting, AI, developer integrations, and automation, reducing the need to maintain a separate project-management product where Plane's native capabilities meet the team's requirements.

Q3. Do you need Jira with Confluence for project management?

Confluence can handle documentation, action items, collaborative planning, and lightweight task coordination. Teams that need dedicated work items, configurable workflows, backlogs, dependencies, delivery planning, and structured project tracking typically use Jira alongside Confluence.

Plane combines structured work management and documentation in the same platform, so organizations that need both should compare Plane with the Jira + Confluence operating model rather than with Confluence alone.

Q4. Can Confluence still be self-hosted in 2026?

Existing Confluence Data Center customers can continue using self-managed deployments during Atlassian's transition, but Data Center is on a defined end-of-life timeline.

New customers have been unable to purchase affected Data Center subscriptions since March 30, 2026. Existing customers can make certain new purchases and expansions until March 30, 2028, and affected Data Center products reach end of life on March 28, 2029, when subscriptions and associated Marketplace apps become read-only.

Plane continues to offer customer-operated Commercial self-hosting to new customers, along with an Airgapped deployment for Enterprise Grid organizations that require isolated infrastructure.

Q5. Can you migrate Confluence to Plane?

Yes. Plane provides a first-party Confluence importer for Business and Enterprise customers on Cloud and self-hosted deployments.

Confluence content can be imported into Workspace Wiki, a Project, or a Teamspace. Plane supports HTML ZIP and XML ZIP imports and has added capabilities such as comment import, Gliffy-to-draw.io conversion, large-archive improvements, resumable uploads, and better hierarchy handling.

Before a full migration, test a representative Confluence Space containing the content and workflows your organization depends on, including hierarchy, attachments, permissions, macros, Marketplace dependencies, Jira links, databases, whiteboards, and external sharing.