Atlassian Data Center gives an organization more control over where and how its software runs, but also makes that organization responsible for operating and securing it. Atlassian Cloud shifts platform maintenance and upgrades to Atlassian, while customers still govern access, configuration, data, and plan-specific controls. Neither deployment is categorically more secure or less expensive. The better fit depends on your security and compliance requirements, operating capacity, app and workflow compatibility, and the product’s lifecycle.
For affected Data Center products, that lifecycle is now a practical decision factor: Atlassian’s announced phase-down began March 30, 2026. This comparison explains what changes between the deployment models and what to check before deciding.
At a glance: what changes between Data Center and Cloud?
| Decision area | Data Center | Cloud |
|---|---|---|
| Infrastructure | Runs on infrastructure selected and operated by the customer; can be single-node or clustered. | Atlassian operates the platform infrastructure. |
| Maintenance and upgrades | The customer plans and performs maintenance and applies security fixes. | Atlassian performs required maintenance and upgrades during scheduled maintenance windows. |
| Security operations | The customer manages infrastructure protections, access controls, backups, and audits. | Atlassian manages platform operations; the customer remains responsible for its own governance, access, and configuration. |
| Availability architecture | Can be deployed on one node or as a cluster; clustering adds components such as a load balancer. | Platform operations are managed by Atlassian; Premium and Enterprise customers can use release tracks and sandboxes. |
| Identity and administration | Existing identity, app, workflow, and administrative arrangements need to be evaluated against the deployment. | Some features and behaviors differ by plan, including SSO eligibility, workflow XML imports, and ownership of cross-project boards and filters. |
| Product horizon | Atlassian’s announced phase-down applies to specified products and has dated milestones. | Cloud is Atlassian’s platform for customers planning migration from affected Data Center products. |
The table is a decision map, not a security score or cost estimate. The practical differences are in who operates each layer and whether your requirements are met by the specific product, configuration, and plan.
Who controls the infrastructure and data environment?
Data Center: customer-selected infrastructure
Data Center is the customer-managed deployment model. The organization chooses and operates the underlying infrastructure, which can provide greater control over the environment and its operational design. Atlassian’s Data Center shared-responsibility guidance also describes operating on private networks and configuring protections such as a web application firewall (WAF) or VPN.
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A Data Center deployment may use one application node or a cluster. A single node is simpler to operate but is a single point of failure. A clustered deployment uses multiple application nodes and specialized components such as a load balancer; it can support high-availability requirements, but increases operational complexity. Clustering is an architecture option, not a substitute for designing, monitoring, and testing the overall service.
Cloud: less infrastructure operation, not zero customer governance
With Cloud, Atlassian operates the platform infrastructure. That reduces the customer’s responsibility for maintaining the application platform itself, but it does not remove the need to govern who can access information, configure identity and permissions appropriately, assess apps, or meet internal and regulatory obligations.
Do not treat “vendor-hosted” as shorthand for “security work is finished.” Map your threat model and compliance obligations to the controls available for the product and plan you would actually use. The official material compared here does not establish that one deployment model is universally more secure than the other.
How do maintenance, upgrades, and backups differ?
Data Center operations
For Data Center, the organization is responsible for applying security fixes promptly and operating the supporting security controls. Atlassian’s shared-responsibility guidance identifies access controls, MFA or SSO configuration, encryption, backups, and audits among the operational responsibilities to address. The customer also plans and executes maintenance and upgrades for its deployment.
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This responsibility can suit teams that need to control their own maintenance process and have the staff, infrastructure, and change-management practices to run it. It also means a patching or backup process that is delayed, untested, or unclear remains an operational risk the organization must manage.
Cloud operations
Atlassian performs required Cloud maintenance and upgrades during scheduled maintenance windows. For Premium or Enterprise customers, Atlassian documents the ability to select release tracks and create sandboxes that receive changes before production. These options can help teams prepare for changes, but availability depends on plan eligibility.
Atlassian distinguishes disaster-recovery backups from backups customers create for their own needs: Cloud disaster-recovery backups are automated, while site backups for a customer’s own purposes must be created manually. Decide what recovery and retention practices your organization requires, then verify the applicable product guidance and plan rather than assuming platform disaster recovery replaces a customer-controlled backup.
What should security and identity teams compare?
Compare the actual controls and responsibilities against your organization’s threat model rather than assigning a blanket security advantage to either model. The customer’s operating role is broader in Data Center; Cloud moves platform maintenance to Atlassian, but the customer must still govern identity, permissions, configuration, and use of the service.
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- Identity and access: Establish how MFA, SSO, user provisioning, and access reviews will work. Atlassian’s administration comparison says Cloud SSO requires Enterprise or Atlassian Guard Standard; confirm current entitlements for your product and account.
- Data protection: Compare encryption, backup, retention, and recovery requirements with the controls available in the specific deployment and plan.
- Auditability: Identify which audit processes and records your compliance program requires, and who will operate them.
- Evidence and obligations: Validate the service configuration and contractual or regulatory requirements that apply to your organization. The deployment label alone does not establish compliance.
These checks matter in both models, but the party responsible for operating a control may change. Make that ownership explicit before migration or renewal.
Which administration differences can disrupt a move to Cloud?
A migration can preserve neither every configuration nor every working assumption automatically. Atlassian’s product and administration comparisons document differences that can affect planning, so audit the current environment and test important behaviors before committing to a move.
Authentication and plan entitlements
Record identity providers, authentication requirements, provisioning processes, and any SSO dependencies. Because Cloud SSO eligibility is plan-dependent, verify that the plan under consideration supports the organization’s requirements rather than treating SSO as an automatic feature of every Cloud subscription.
Apps and custom workflows
Inventory Marketplace apps and other extensions, including who owns them and whether their data or configuration must move. Review custom workflows as well: Atlassian documents restrictions on workflow XML imports in Cloud. Test representative workflows and identify any required redesign before scheduling a migration.
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Boards, filters, and ownership
Check cross-project boards and filters, including their owners and the teams that rely on them. Atlassian documents ownership differences for these resources; a migration plan should account for how they will be managed in the destination environment rather than assuming current ownership carries over unchanged.
Backups and operating processes
Document what backups are used for, how recovery is tested, and which operational processes depend on direct control of the Data Center environment. Include integrations, change approvals, and maintenance routines where relevant. These are migration dependencies to assess, not proof that a particular destination will or will not meet your needs.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.What is the Data Center lifecycle for affected products?
As of October 7, 2026, Atlassian’s published phase-down dates for affected Data Center products are material to new purchases and migration planning:
| Date | Atlassian’s announced milestone |
|---|---|
| March 30, 2026 | Phase-down began. New customers can no longer purchase new subscriptions for affected Data Center products or new Data Center apps through Marketplace. |
| March 30, 2028 | Existing affected Data Center customers may purchase new subscriptions, Marketplace apps, and expansions through this date. |
| March 28, 2029 | Affected Data Center products reach end of life; subscriptions and associated Marketplace apps expire and become read-only. |
Atlassian’s End of Life page says, “You will have three years from this date to prepare, test, and migrate from Data Center to Atlassian’s cloud platform.” That timeline applies to the affected products covered by the announcement; it does not mean every Data Center product ends in 2029. Bitbucket Data Center and Bamboo Data Center are excluded from this announced end of life, and Jira Align Data Center has a separate status. Atlassian also describes exceptional extended maintenance after end of life, but it is not a guarantee that every customer will receive it.
Release support is a separate lifecycle issue
Regardless of the broader product phase-down, Atlassian says it supports product releases for two years after the initial feature or Long Term Support (LTS) release, subject to its support policy. A release past its end-of-support date is not supported; Atlassian Support states, “Atlassian does not provide support for releases that have reached their end of support (EoS) date.” Check the release’s own support status when planning upgrades rather than treating the product’s end-of-life milestone as the only date that matters.
How should an organization choose?
Data Center may fit when
- Your requirements depend on choosing and operating the infrastructure and environment yourself.
- You have the people and processes to handle patching, maintenance, access controls, backups, audits, and availability architecture.
- Your current apps, workflows, and operating model have been assessed, and the product lifecycle leaves a viable path for your use case.
Cloud may fit when
- You want Atlassian to perform platform maintenance and upgrades instead of operating that layer in-house.
- The available product and plan controls meet your identity, governance, and compliance requirements.
- Your critical apps, workflows, boards, filters, and data-handling processes have been checked for compatibility and migration effort.
For affected products, include Atlassian’s phase-down milestones in any decision to start or expand a Data Center deployment. Do not compare headline subscription prices alone: a meaningful cost comparison depends on user count, product mix, hosting footprint, required Cloud plan, Marketplace apps, and migration effort. The official material does not establish a universal lower-cost option.
A defensible decision starts with a responsibility map, a tested inventory of administration dependencies, and a timeline aligned to the product and release policies that apply to your environment.
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