Confluence EU Alternative 2026: The Atlassian Delaware Risk — What EU Knowledge Teams Use Instead

Post #906 in the sota.io EU Cyber Compliance Series

Confluence is the dominant internal wiki and knowledge management platform for engineering and product teams. EU organisations use Confluence to maintain technical documentation, architectural decision records, engineering runbooks, project specifications, HR policies, onboarding guides, and the accumulated institutional knowledge of their teams. For many EU organisations, Confluence is where knowledge lives.

Atlassian, the company behind Confluence, Jira, Trello, Bitbucket, and Statuspage, was incorporated in Delaware, United States in 2019 when it redomiciled from Australia to the US before its NASDAQ listing. As a Delaware corporation and a US-listed company, Atlassian is subject to the US Clarifying Lawful Overseas Use of Data Act (CLOUD Act, 18 U.S.C. § 2713), which gives US law enforcement and intelligence agencies the authority to compel Atlassian to produce data from any of its infrastructure — including data stored in EU data centres — without involving an EU court or notifying the EU data subjects whose information is disclosed.

This post examines what personal data EU organisations process through Confluence, why the CLOUD Act exposure creates a material GDPR problem, and which EU-native alternatives address the structural legal issue.

What Confluence Actually Processes — A Personal Data Inventory

Confluence is typically thought of as a documentation tool, but the personal data it holds is significantly more extensive than a filing cabinet of technical documents. Understanding the scope of personal data in a typical Confluence organisation is the first step in assessing GDPR exposure.

Team member accounts and activity records. Every Confluence user has an Atlassian account containing their name, email address, profile photograph, job title, and team assignments. Confluence logs every page view, page creation, edit, comment, @mention, and like — attributed to the individual user who performed the action, with timestamps. For organisations with five years of Confluence history, these logs constitute a detailed record of individual team members' work behaviour, focus areas, working hours, and collaboration patterns. This is personal data under GDPR Art. 4(1), and the processing of activity logs may require a specific legal basis depending on the organisational context and the employment law of the relevant EU member state.

Content containing personal data in HR and operations spaces. Confluence is widely used for HR and operational documentation that contains personal data directly. Common examples:

• HR policy spaces: Disciplinary procedure documentation naming individuals involved in past processes. Performance review templates completed with named employees. Promotion decision records documenting the reasoning for individual salary changes. Parental leave and flexible working arrangement records. Return-to-work plans naming employees with health conditions.
• Incident and post-mortem spaces: Security incident post-mortems identifying the engineers responsible for specific actions. Operational incidents attributing delays or errors to named individuals. Customer complaint escalations naming the support or account management staff involved.
• Project management content: Project retrospective pages naming individuals who owned tasks, missed deadlines, or raised blockers. Sprint review pages attributing story completion to named engineers. OKR tracking pages linking individual performance against personal targets.
• Onboarding and offboarding spaces: Onboarding documentation tracking completion of tasks by named new hires. Offboarding checklists naming departing employees and documenting their equipment returns, access revocations, and handover activities.

Content containing third-party personal data. Beyond internal employee data, Confluence frequently contains personal data belonging to customers, contractors, and external parties who are not Atlassian users and have no direct relationship with Confluence:

• Customer meeting notes: Sales, customer success, and account management teams commonly write meeting notes in Confluence documenting conversations with named customers. These pages contain customer names, email addresses, role titles, organisational affiliations, and the content of business discussions.
• Bug and support issue documentation: Engineering teams writing in Confluence about customer-reported bugs frequently include customer account details, support ticket IDs linked to named customers, or screenshots of customer-facing issues that contain customer personal data.
• Vendor and partner management content: Procurement and partnership management teams maintain Confluence pages about commercial negotiations, contract terms, and relationship histories with named contacts at vendor and partner organisations.
• Recruitment process documentation: HR teams tracking hiring processes in Confluence may document candidate assessments, interview feedback, salary discussions, and rejection reasoning for named job applicants — individuals who have never consented to having their data held in Confluence.

@mentions and notification records. Confluence's @mention functionality routes notifications to named individuals and creates a persistent record in page content. When a team member @mentions a colleague in a Confluence page comment or annotation, they create a data record: the mentioned person's name and Atlassian identity are embedded in the page content and notification logs. Over years of usage, @mention records constitute a detailed social graph of organisational communications.

External collaborators and guests. Confluence allows external users — contractors, consultants, customers, and auditors — to be granted access to specific Confluence spaces or pages. These external collaborators have Atlassian accounts that Atlassian processes, even if the organisation's ROPA entry only captures internal employee data. An EU organisation that has granted external access to auditors, legal counsel, or client contacts is processing the personal data of those individuals in Confluence without necessarily having documented this in its ROPA.

Confluence Data Center vs. Cloud. Organisations running Confluence Data Center on their own infrastructure are not affected by the CLOUD Act analysis in this post, because Atlassian does not hold or access their data in that deployment model. The CLOUD Act problem is specific to Confluence Cloud, where Atlassian operates the infrastructure and holds the data. This distinction matters: EU organisations evaluating their Confluence risk profile should first determine which deployment model they are using. If you are on Confluence Cloud, the analysis below applies. If you are on Confluence Data Center deployed on EU infrastructure, your exposure is different (though Atlassian may still access data under support access policies).

The CLOUD Act Problem for EU Organisations Using Confluence Cloud

The US CLOUD Act (18 U.S.C. § 2713) requires US service providers — including Atlassian — to preserve and disclose data stored anywhere in their global infrastructure when served with a valid US legal order. The statute was drafted explicitly to override data location: Atlassian's decision to store EU customer data in Dublin or Frankfurt does not exempt that data from CLOUD Act obligations. The legal obligation runs to the corporate entity, not to the data's physical location.

For EU organisations, the consequence is that all data stored in Confluence Cloud — including the personal data inventoried above — can be accessed by US authorities without EU judicial oversight, without notifying affected EU data subjects, and without the procedural safeguards that EU fundamental rights law would require. The compelled disclosure occurs entirely within the US legal system.

Standard Contractual Clauses cannot resolve this. EU organisations transferring personal data to Atlassian via Confluence Cloud typically rely on Standard Contractual Clauses (SCCs) as the lawful transfer mechanism. SCCs require Atlassian, as data importer, to notify the EU data exporter when it receives a legal order to produce personal data and to challenge orders that appear disproportionate. The CLOUD Act creates two structural problems with this mechanism. First, national security and foreign intelligence orders are frequently accompanied by non-disclosure obligations (gag orders) that legally prohibit Atlassian from notifying the EU data exporter. Second, the EU Court of Justice's 2020 Schrems II judgment found that US national security surveillance access is structurally incompatible with SCCs where EU-equivalent safeguards do not exist. The SCC contractual obligation cannot override a US statute backed by judicial order.

The DPF does not eliminate the risk. Atlassian participates in the EU-US Data Privacy Framework (DPF). The DPF provides improved safeguards relative to the pre-Schrems II situation, including a Data Protection Review Court for EU data subjects to seek redress for US intelligence access. However, the DPF's long-term legal stability is uncertain: it is the third iteration of a US-EU data transfer framework, following the Safe Harbor (invalidated by CJEU, 2015) and Privacy Shield (invalidated by CJEU, 2020). The EDPB has documented remaining concerns about the DPF's compatibility with EU fundamental rights standards. Organisations building multi-year data governance commitments on DPF certifications are accepting the risk of a third CJEU invalidation.

ROPA documentation obligations. GDPR Article 30 requires EU organisations to document Confluence Cloud as a personal data processor in their Records of Processing Activities. The documentation must cover the categories of personal data, the purposes of processing, the legal basis, the data retention periods, the transfer mechanism to Atlassian, and Atlassian's sub-processors. Many organisations have an incomplete Confluence entry in their ROPA — they declare generic "IT system usage data" but do not document the HR process data, customer meeting notes, or third-party contact data held in Confluence pages. An incomplete ROPA is an accountability failure under GDPR Art. 5(2) and creates exposure in DPA audits and data breach assessments.

Data subject access and deletion requests. When an EU data subject submits a GDPR Article 15 access request or an Article 17 deletion request, the organisation must be able to locate and produce (or delete) all personal data it holds about the data subject. In a mature Confluence organisation, personal data may be embedded in hundreds of pages across multiple spaces — meeting notes, post-mortems, onboarding records, project retrospectives. Responding to a comprehensive GDPR access request requires either a Confluence-wide search for the data subject's name, identifiers, and associations, or an admission that the ROPA does not accurately map what personal data is held in Confluence. Neither outcome is comfortable. EU-hosted alternatives with better search and data subject tooling reduce this operational burden.

EU-Native Alternatives to Confluence

The EU market for internal knowledge management and wiki software has several mature options. The right choice depends on the organisation's technical capacity, desired hosting model, and specific use-case requirements.

XWiki — EU-Headquartered, Enterprise-Ready, Self-Hostable

XWiki is a collaborative wiki platform developed by XWiki SAS, a company founded in France and headquartered in Paris. XWiki SAS operates entirely under French and EU law, is not subject to the CLOUD Act, and has no US corporate parent. XWiki is one of the oldest and most feature-complete open-source enterprise wiki platforms, with a development history dating to 2003.

XWiki supports structured content with templates, macros, and data-driven wiki applications — making it suitable for building project trackers, technical documentation repositories, and process management tools within a wiki context. The macro system allows organisations to create complex, structured pages that go well beyond simple text wikis. XWiki has Confluence migration tooling (the Confluence Migrator application) that automates the import of Confluence space exports into XWiki format, including page hierarchy, attachments, and basic markup conversion.

XWiki Cloud is available for organisations that want a managed service hosted in EU infrastructure by an EU company. XWiki Community Edition is available for self-hosting. XWiki Enterprise and XWiki SAS support contracts are available for organisations requiring commercial support. For large EU enterprises migrating from Confluence and requiring a commercially supported, EU-headquartered vendor, XWiki SAS is the closest structural equivalent.

Deployment: XWiki runs on Java (Tomcat + PostgreSQL or MySQL). Self-hosting requires Java infrastructure competence. XWiki provides Docker images and Kubernetes Helm charts.

Outline — Self-Hostable, Modern UX, MIT Licensed

Outline is a knowledge base and wiki tool designed for teams that want a modern, fast, and clean editing experience. The core editor is built on ProseMirror and provides a writing experience closer to Notion than to Confluence's legacy Jira-adjacent UI. Outline is released under the Business Source License (BUSL) for the cloud version and MIT License for self-hosting.

Outline supports nested documents, team-based access control, real-time collaboration, powerful search, and integrations with Slack, GitHub, and Google Drive. The document structure (Collections → Documents) maps reasonably well to Confluence's Space → Page hierarchy.

For EU organisations deploying Outline on EU infrastructure, there is no US processor in the chain. All data remains within the organisation's own infrastructure. Outline supports PostgreSQL as its database backend and S3-compatible object storage (including MinIO self-hosted) for attachments, making it deployable on Hetzner Cloud, OVHcloud, Scaleway, or any EU cloud provider.

Migration from Confluence to Outline: Outline supports import of Confluence HTML space exports (generated from the Confluence space export feature). The import converts Confluence pages to Outline's document format. Complex Confluence macros and structured content do not migrate automatically, but standard text content, tables, and images transfer reliably.

Outline Cloud is available as a managed service. The cloud version is operated by the Outline team (US-incorporated company). EU organisations requiring a managed service should evaluate whether US corporate structure is acceptable or whether self-hosting on EU infrastructure is the appropriate deployment choice.

BookStack — Simple, Open Source, MIT Licensed

BookStack is a free and open-source wiki platform designed around a three-level hierarchy: Books → Chapters → Pages. This hierarchy maps naturally to technical documentation organisations (Product → Feature → API Endpoint) and replaces Confluence's Space → Page → Child Page structure.

BookStack is built in PHP (Laravel) and supports MySQL/MariaDB. It is designed for ease of self-hosting: a standard LAMP or LEMP stack, available as a Docker container, and documented for deployment on standard Linux infrastructure. The deployment complexity is lower than XWiki (Java) or Outline (Node.js + TypeScript), making BookStack accessible for EU organisations with PHP infrastructure experience or limited DevOps capacity.

BookStack has a modern, responsive WYSIWYG editor, built-in search, role-based access control, audit logging, LDAP/SAML authentication integration, dark mode, and multi-language support. It is not as feature-rich as Confluence for structured data or macro-driven pages, but for teams whose primary use case is writing, reading, and searching internal documentation, BookStack covers the requirements well.

As MIT-licensed open-source software deployed on EU infrastructure, BookStack eliminates all US-processor CLOUD Act exposure. The project is maintained by Dan Brown, a UK-based developer, with an active open-source contributor community. Commercial support is not available through the project directly, but paid support from EU hosting and open-source support providers is available.

Docmost — Modern Wiki, AGPL-3.0, Self-Hostable

Docmost is a newer open-source wiki and documentation platform released under the GNU Affero General Public License (AGPL-3.0). It was created as a direct Confluence alternative with a focus on a modern collaborative editing experience and straightforward self-hosting.

Docmost features real-time collaborative editing (multiple users editing the same page simultaneously with visible cursors, similar to Confluence's collaborative editing), a hierarchical page structure, a WYSIWYG editor built on Tiptap, role-based permissions, and search. The self-hosting setup is Docker-based and documented for standard Linux environments.

Docmost is younger than XWiki, Outline, or BookStack, and its feature set is still developing. Organisations considering Docmost should evaluate whether its current capability matches their specific documentation requirements. Its collaborative editing quality is a genuine differentiator from BookStack and compares favourably to the editing experience in tools aimed at Confluence replacement.

Nextcloud with Collectives — EU-Origin Ecosystem

Nextcloud, developed by Nextcloud GmbH in Stuttgart, Germany, is a comprehensive self-hostable collaboration platform. The Nextcloud Collectives application extends Nextcloud with a wiki-style collaborative documentation space, integrated into the Nextcloud ecosystem alongside file storage, calendar, contacts, and video conferencing (Talk).

For EU organisations already running Nextcloud for file management or communication, adding the Collectives application provides a wiki capability within the same EU-origin infrastructure stack. Nextcloud GmbH is a German company operating under German law and EU jurisdiction, and Nextcloud can be self-hosted on any EU infrastructure.

Collectives is less feature-rich than dedicated wiki platforms for complex documentation structures. It is strong for team knowledge bases that are primarily flat or lightly hierarchical. Organisations whose documentation requirements are complex, hierarchical, or heavily interlinked may find dedicated wiki tools more appropriate than Collectives.

Nuclino — German Company, Modern Team Wiki

Nuclino is a team wiki and knowledge management tool developed by Nuclino GmbH, a company incorporated in Munich, Germany. As a German GmbH operating under German law, Nuclino is not subject to the CLOUD Act and processes data under EU jurisdiction.

Nuclino provides a clean, fast writing experience with a graph-based knowledge visualisation feature (the Graph view) that maps document relationships visually. The editor supports inline mentions, links between documents, embedded files, and a structured item format alongside standard wiki pages. Nuclino's interface is deliberately minimal compared to Confluence — it is designed for teams that want a fast, frictionless writing and reading experience without Confluence's administrative overhead.

Nuclino is a cloud-only managed service (no self-hosting option). For EU organisations requiring self-hosting for maximum data control, Nuclino is not appropriate. For EU organisations comfortable with a managed SaaS model provided by a German company operating under EU law, Nuclino is a strong option.

Migration Path from Confluence to an EU-Native Wiki

Migrating from Confluence to any alternative involves the same core steps. The specific tooling varies by target platform.

Step 1: Audit your Confluence spaces. Export a list of all Confluence spaces and assess which are active versus archived, which contain personal data that must be handled carefully in migration, and which can be archived rather than migrated. Most mature Confluence organisations have spaces that have not been edited in two or more years and can be archived (exported as HTML) rather than live-migrated.

Step 2: Identify your personal data exposure. Before migrating, review the Confluence content most likely to contain personal data: HR spaces, post-mortem spaces, customer meeting notes, and recruitment documentation. These spaces require careful handling under GDPR Art. 5 data minimisation principles: migration is an opportunity to delete outdated personal data rather than copy it to the new platform.

Step 3: Export from Confluence. Confluence Cloud provides space-by-space HTML exports. These exports contain page content, attachments, and page hierarchy metadata. The export quality from Confluence Cloud is sufficient for migration purposes for standard content. Complex pages with heavy macro usage (Jira issues macros, custom reports, data-driven table macros) do not export well and require manual reconstruction.

Step 4: Import to the chosen platform. XWiki's Confluence Migrator application handles XML-format exports directly. Outline imports Confluence HTML exports through its import tool. BookStack and Docmost require either manual import or third-party migration tooling. Nextcloud Collectives does not have automated Confluence import. For large migrations, professional migration services specialising in Confluence-to-wiki migrations are available.

Step 5: Update your ROPA. Remove the Confluence Cloud entry from your ROPA or update it to reflect the Confluence Data Center deployment if you are switching to self-hosted infrastructure. Add the new platform as a data processor (or remove the external processor entirely if deploying self-hosted software on your own infrastructure). Document the change in your ROPA audit trail.

Step 6: Update DPA agreements and privacy notices. If your privacy notice references Atlassian as a sub-processor, update it. Review and terminate the Data Processing Addendum with Atlassian once migration is complete and data has been deleted from Confluence Cloud.

Step 7: Delete data from Confluence Cloud. After migration and validation, delete content from Confluence Cloud and request data deletion from Atlassian under your DPA agreement. Document the deletion and retain the deletion confirmation as evidence of GDPR-compliant data lifecycle management.

Atlassian Cloud Residency — Why It Doesn't Solve the Problem

Atlassian offers a data residency feature for Confluence Cloud that allows EU organisations to pin their primary data storage to AWS EU data centres. Atlassian documents which products and data types support data residency on its trust portal. This feature is relevant to GDPR data localisation considerations but does not resolve the CLOUD Act exposure.

The CLOUD Act runs to the corporate entity — Atlassian — not to the physical location of the servers. Atlassian's obligation under the CLOUD Act to produce data when served with a valid US legal order applies regardless of whether that data is stored in Ohio, Dublin, or Frankfurt. Data residency is a meaningful feature for reducing latency, for compliance requirements that specifically mandate in-country data storage (such as some sector-specific regulations), and for operational disaster recovery purposes. It does not change Atlassian's legal obligation to respond to US government data demands.

EU organisations that have enabled Atlassian data residency and concluded that this resolves their GDPR transfer compliance obligation should revisit that analysis. The CLOUD Act structural issue remains.

Practical Decision Framework for EU Organisations

The appropriate Confluence alternative depends on the organisation's specific constraints:

Maximum data control, any size organisation: Self-host XWiki, Outline, or BookStack on EU infrastructure. No third-party processor holds your data. CLOUD Act exposure is eliminated. Requires internal DevOps capacity or an EU-based managed hosting provider.

Enterprise scale, commercial support required: XWiki SAS provides enterprise contracts, migration support, and long-term commercial maintenance from a Paris-headquartered EU company. XWiki Cloud places the managed service with an EU company on EU infrastructure.

Modern UX, technical team, self-hosting capacity: Outline or Docmost. Both provide collaborative editing experience closer to Notion/Confluence's modern editing features than BookStack. Both require Node.js/PostgreSQL infrastructure competence.

Simpler setup, PHP infrastructure familiarity: BookStack. Lower self-hosting complexity than Outline or XWiki. MIT-licensed. Reliable for standard documentation workloads.

Already running Nextcloud: Add Nextcloud Collectives. Minimal additional infrastructure. EU-origin ecosystem.

Managed SaaS, EU legal jurisdiction, no self-hosting: Nuclino (German GmbH). Smaller feature set than Confluence but clean UX and EU legal jurisdiction. Evaluate whether XWiki Cloud provides necessary enterprise features.

Conclusion

Atlassian is a Delaware-incorporated, NASDAQ-listed US company. Confluence Cloud is a US-operated service. The personal data that EU organisations store in Confluence — team member activity logs, HR process documents naming employees, customer meeting notes, post-mortem records attributing actions to named individuals, and recruitment documentation — is subject to US CLOUD Act access.

The EU alternatives covered in this guide — XWiki, Outline, BookStack, Docmost, Nextcloud Collectives, and Nuclino — address the structural legal issue through EU corporate jurisdiction, self-hosted deployment, or both. None of these alternatives replicates the full Confluence feature set without tradeoffs. But the tradeoffs are operational (features, migration effort, maintenance overhead), not legal: EU-origin or EU-deployed wiki platforms do not create the CLOUD Act compliance gap that Confluence Cloud creates for EU organisations.

EU organisations that have not yet assessed their Confluence Cloud data governance posture should begin with three questions: What personal data categories are actually held in Confluence? Is the Confluence Cloud entry in our ROPA complete and accurate? And do we have a documented legal basis for transferring that personal data to Atlassian given the current uncertainty around DPF stability? Those three questions define the scope of the work.

sota.io provides EU-hosted infrastructure for software teams. Deploy on sota.io — GDPR-compliant, EU-sovereign, no US processors.