Atlassian Data Resilience – A Buyer’s Checklist
- Matt Tyrer
- Jul 27
- 14 min read
Updated: Jul 30
A buyer's guide to getting Atlassian Jira and Confluence data protection right the first time
Table of contents:
Why Atlassian needs backup
Organizations are storing more critical and sensitive data within the Atlassian ecosystem, driving the need for proper protection from internal and external threats. Unlike other SaaS apps like Microsoft 365, Salesforce, and Google Workspace, few vendors offer solutions for efficiently managing and protecting Atlassian Jira, and even fewer for Confluence.
The market for Atlassian data resilience is still developing, with few vendors currently providing solutions. However, it's crucial for Atlassian administrators and IT organizations to be aware of the available options and the essential criteria for safeguarding their critical data within the platform..
If your Atlassian environment's data is compromised or corrupted, having the appropriate tools in place is essential for recovery and to mitigate disaster. This "buyer’s checklist" for Atlassian data protection, data security, and data management solutions is designed to guide IT leaders in evaluating critical capabilities for Atlassian data resilience. By aligning these criteria with specific solution requirements, customers can effectively assess the available market options to identify the "best fit" for their organization.
Key Criteria for Atlassian Data Resilience
There are several important criteria that need to be identified and understood as part of evaluating which solution is the best fit for your environment. Among those listed in the checklist below, two of these criteria stand out:
Relationship Preservation - Preserving relationships in Atlassian backups (like Jira epics, stories, subtasks, linked issues, and Confluence page hierarchies) is critical because it ensures that context, hierarchy, and dependencies remain intact during recovery. Without it, restored data becomes fragmented, leading to broken workflows, lost traceability, and manual re-linking efforts that waste time and risk errors. Relationship-aware backups are essential for maintaining operational integrity, compliance, and efficient incident recovery.
Data and Configuration Diff/Compare Analysis - Diff/compare is vital in Atlassian backup and recovery because it helps you quickly spot the differences between backup versions and the current data. This allows you to detect data loss or corruption, verify specific changes without needing a full restore, and accurately roll back to a known-good state. This type of analysis allows you monitor changes in system settings over time, so you can spot when your Atlassian configuration deviates from the intended baseline. Whether it’s due to unintended updates, manual tweaks, or plugin modifications, you’ll be able to identify what changed, when, and by whom—making it easier to roll back, reconcile discrepancies, and maintain consistency across environments. It also supports audit trails by showing what changed and when, which is essential for compliance and accountability.
These are certainly not the only two things that matter, but they are top (in my opinion) things to consider as part of any Atlassian data resilience solution. With that said, let's review the full checklist:
Atlassian Data Resilience – Buyer’s Checklist
Architecture & Pricing
☐ | Decide if you want a 100% managed solution or if you must provide the needed infrastructure such as VMs, compute, and storage (“BYOS”) |
☐ | Verify if the solution provides a dedicated environment for each tenant or if the infrastructure is shared across all customers. |
☐ | Understand the pricing model(s) and differences between the license tiers. Are certain key features or retention only available in a specific tier? Is storage included? |
☐ | Evaluate if having the solution interface (UI) embedded in Atlassian or deployed as a separate portal is preferred for daily operations |
☐ | Establish if there are data residency restrictions or other governance or compliance requirements around the data. |
☐ | Determine if your organization prefers to leverage a specific cloud provider(s) |
☐ | Identify if the solution is turnkey or requires scripting or other customizations to deploy |
☐ | Validate if there are additional products/tools required or if all required functionality is delivered as a single platform. |
☐ | Itemize any other workloads outside of Atlassian supported by the solution (e.g. Cloud, other SaaS, hybrid data sets) |
Data Protection
☐ | Verify if backup/recovery for Jira and/or Confluence is supported |
☐ | Validate what flexibility and control you have over backup scheduling and retention. Is it fixed? Customizable? What limits exist? |
☐ | Itemize what data and metadata is protected by the solution, highlighting anything that is not explicitly covered (e.g. Assets, Attachments, Workflows, etc.) |
☐ | Determine if the Atlassian configuration objects and data are protected or not. |
☐ | Assess what data relationships are automatically preserved as part of data recovery. What gaps exist in the coverage, are there any manual steps required? |
☐ | Evaluate restore granularity. Full site recovery. Bulk recovery (multiple objects). Single object restore. Point-in-Time. Export/Download. Understand what limits or restrictions exist for each scenario. |
☐ | Validate if the solution supports restores across different Atlassian sites and organizations |
☐ | Establish if data restores are destructive or non-destructive, and if data be staged or restored out-of-place |
☐ | Identify if the solution provides comparison or “diff” analytics as part of the restore process (i.e.: “What’s changed?”) |
Data Security
☐ | Confirm if the solution is Atlassian Forge compliant |
☐ | Decide how to implement data isolation and immutability for the backup data. Is it natively provided by the solution? |
☐ | Evaluate what authentication options are available for the solution. Including both user and API authentication methods that are supported (e.g. JTW, OAuth, 2FA, etc.). Does the solution have its own RBAC or rely on Atlassian? |
☐ | Establish if the solution integrates with your Identity Access Management (IAM) platform |
☐ | Validate if the granularity, detail and categorization available via the audit logs meet your compliance requirements |
☐ | Check if “maker-approver” deployment workflows are supported |
☐ | Assess what Data Security Posture Management (DSPM) capabilities are available. Can the solution identify potential security configuration gaps? |
☐ | Determine if Sensitive Data Detection/Scanning is supported for Atlassian data, metadata, attachments, etc. Can it visualize what users have access to what data within the Atlassian environment? |
☐ | Verify if metadata analysis and configuration drift detection is offered |
☐ | Confirm the solution provides end-to-end encryption (in transit + at rest). Does the solution support customer-managed keys (BYOK) or does the vendor manage all encryption keys? |
Data Management
☐ | Decide if the solution must integrate with Atlassian Rovo (GenAI) or not. |
☐ | Itemize the reports and analytics available from the solution. (e.g. Site Health, Add/Delete/Change analysis, etc.) |
☐ | Confirm if the solution provides any license optimization tools or reports |
☐ | Understand what options are available for configuration versioning and change management/control |
☐ | Identify any cleanup/efficiency capabilities available in the solution such as Configuration Cleanup & Workflow Streamlining |
☐ | Verify what migration and cloning options are supported, and at what level of granularity (Project, Object, Configuration). Does the solution support migration to the same site or allow migration to different sites. |
Note: A downloadable checklist is provided below.
Who are the players?
Currently, there is a limited mix of vendors with solutions that address Atlassian data. These SaaS solutions range from highly specialized providers focusing on Atlassian, to traditional vendors broadening their services to include Jira and Confluence in response to rising demand. The solutions themselves also vary, from those with very limited capabilities or use cases to others that are extremely robust and feature rich. We'll provide a detailed comparison of the vendors in the next section, but let's look at who the key players are addressing Atlassian data resilience today.
SaaS Specialists
These vendors are leading the way in terms of their focus on protection, management, and security for Atlassian environments and SaaS applications in general. They offer a mix of fully managed and customer managed SaaS solutions.
GitProtect
GitProtect got their start as an offshoot from Xopero by providing data protection for GitHub and GitLab environments before expanding into Atlassian and other SaaS applications. GitProtect offers powerful backup and disaster recovery for Atlassian, with full Jira config capture and limited Confluence support (currently in alpha stage). It supports cross-instance restores, ransomware protection, and IAM integration. Their UI is separate from Atlassian and visually impressive, with flexible deployment options supporting on-premises, hybrid, and cloud environments.
Pros – GitProtect offers incredible flexibility for deployment, with multicloud support (AWS, Azure, GCP) as well as both local and hybrid storage options. This enables a variety of cross-site and cross-vendor disaster recovery and migration options for customers not available elsewhere. GitProtect also offers relationship-aware backup and restore with hierarchy mapping to preserve the structure within Atlassian.
Cons – Customers need to be aware that destructive activities (overwrite restores, backup deletion) do not appear to have any approval workflows to mitigate the risk of accidental or malicious data deletion. Implementing strong RBAC with separation of duties and least privilege will be important to limit these risks. In addition, GitProtect does not provide diff/compare features for backups and configuration recoveries. Reporting is also limited.
Verdict - GitProtect is a best fit for technical teams seeking robust cross-platform backup and recovery flexibility with no vendor lock-in. This agnostic approach to infrastructure provides the best variety of support for disaster recovery and data migration.
Revyz
Revyz is an Atlassian specialist having focused on the Atlassian ecosystem since day one. Revyz offers deep native integration with Atlassian Cloud and stands out for its granular protection of configuration data, assets, and automation rules. It supports schema comparison, config drift detection, license optimization, and maker-approver deployment workflows. Ideal for teams that prioritize change management, transparency, and tight admin controls. It supports both Jira and Confluence environments and grants customers the flexibility to leverage their Revyz AWS tenant or a “Bring your own Storage” (BYOS) model for deployment. Their UI is embedded directly within the Atlassian interface, making it seamless for administrators to access the Revyz toolset in their day-to-day operations
Pros – Many of the features available through the Revyz platform are simply not available anywhere else. These include unique and differentiated features such as their visual mapping of Atlassian resources and who can access them, listing of all attachments uploaded into Jira, support for Asset backup/recovery, diff analysis and the ability to monitor configuration drift within Atlassian. Capabilities for configuration clean up and license optimization provide added value to Atlassian customers by streamlining the production environment as well. Revyz is also the only vendor to offer native sandbox creation and full “Sandbox-to-Prod” migration + rollback functionality.
Cons – Revyz is currently limited to the Atlassian Cloud platform, meaning self-hosted Atlassian instances are not supported. Additionally, customers needing broader coverage for data and applications beyond Atlassian will require additional tools to provide that support and protection for those workloads.
Verdict - If I may draw the analogy: Revyz is to Atlassian what OwnBackup was for Salesforce. Today, Revyz is the only vendor focused solely on Atlassian and as such deliver a differentiated level of functionality and detail across multiple use cases including data protection, security & DSPM, as well as data/configuration management and optimization across the Atlassian platform. Mature Atlassian Cloud teams needing audit-ready governance, config tracking, and automated config lifecycle controls will find that Revyz is a solid fit.
Rewind
Another SaaS focused vendor who was first to market with an enterprise quality data protection solution for Shopify. Using this knowledge and expertise they have expanded the platform to support a dozen key SaaS workloads such as BitBucket, Azure DevOps, Okta, Microsoft Entra ID, and of course Atlassian. Rewind provides simple, affordable Jira and Confluence backup with granular restore and unlimited retention. Its web-based vault UI is intuitive but lacks config-level diffing or deep metadata handling. The Rewind is the only solution providing continuous item-level backup. This gives the customer very tight SLAs for recovery point objectives (RPO) due to the incredible granularity for point-in-time recovery operations that the continuous backup gives.
Pros – Industry unique continuous backups capture nearly all changes made within the Atlassian structure and items. Rewind provides good coverage for SaaS applications outside the Atlassian platform, giving customers the ability to easily scale to protect more of their data estate. Their affordable pricing model and unlimited storage options certainly make them an attractive option for budget conscious customers. Their performance for bulk recoveries is also incredibly fast.
Cons – Rewind is missing key configuration management and diff/compare features needed for complete data protection and management of the Atlassian platform. Alternate site restore is also not supported. So, while the Rewind solution covers many of the core capabilities for data protection, customers might find the lack of depth in their feature set offsetting.
Verdict – Rewind is proven vendor in the SaaS data protection space. Their straightforward, cost-effective solution is a best fit for small to mid-sized Atlassian customers. Rewind’s support for other non-Atlassian SaaS applications also makes them ideal for customers leveraging multiple SaaS tools in their environment. Given their expertise with other key SaaS apps, I expect their Atlassian offering will only get better!
The Traditional Team
Established data protection vendors are slowly expanding their workload coverage into the SaaS application space. They are responding to their customers and the market shift towards SaaS and while most already cover off the "big 3" (M365, GWS, Salesforce), some are starting to view Atlassian as the next application worth investing in. These solutions tend to be “good enough” for data protection use cases but are missing still developing many of the Atlassian management and security features available from the specialists.
HYCU
HYCU got their start in the industry as a Nutanix data protection expert then quickly shifted their focus beyond the datacenter to target the SaaS application market. Their differentiated, low-code R-Cloud platform enables technology partners to quickly build connectors for SaaS applications not normally covered by other vendors. They offer a “partial-SaaS” solution whereby HYCU provides the data/control plane, and the customer provides the compute and storage infrastructure themselves – unlike the rest of the pack they do not have their own cloud storage tenant. HYCU backs up Jira and Confluence content and provides cross-source restore but lacks granular config awareness and deep workflow integration.
Pros – Thanks to the R-Cloud platform, HYCU can offer protection of SaaS applications that are not covered by any other vendor in the industry. Their broad SaaS support is unmatched in the data protection space. Their consumption-based approach is differentiated compared to most other vendors in this space who only offer per-user pricing models – which could be a deciding factor depending on the environment.
Cons – First and foremost, HYCU is a backup solution, and as such the HYCU offering for Atlassian is limited to data protection tasks. They are a jack of all trade, providing basic backup/recovery functionality Atlassian yet missing many key capabilities for relationship preservation, configuration management, and comparison/diff operations that more mature Atlassian environments may require. In addition, the fact that the customer is responsible for providing, securing, and scaling the actual backup infrastructure adds risk and cost to the solution.
Verdict – HYCU’s support for backup and recovery across datacenter, cloud, hybrid, and SaaS applications coupled with their unparalleled SaaS support make them an excellent choice for customers with very diverse and cloud-first environments. They are not experts at Atlassian but provide a “good enough” solution that may be suitable for your backup and recovery needs.
Keepit
Keepit is a data protection solution born in the cloud, initially coming to market with specialized backup and recovery for Microsoft 365 environments before expanding to the other “big” SaaS applications like Salesforce, Google Workspace, Power BI and more. Keepit is unique among the other vendors in this list in that they leverage their own datacenters as opposed to public cloud or 3rd party infrastructure – this grants Keepit excellent controls over data sovereignty and data residency. They offer immutable cloud backups with global coverage and a guided restore interface. It focuses on content-level restore and encryption but lacks configuration-level insights, DSPM, or Atlassian-native controls.
Pros – Keepit’s user interface is simple, and easy to use with guided wizards to aid in day-to-day administration and recovery tasks. Customers in government or highly regulated industries would benefit from the availability of their global datacenters and the ability to keep their data residing in the geographies of their choice.
Cons – Similar to HYCU, Keepit provides “good enough” backup for Atlassian yet lacks key features such as compare/diff restore tasks, meta-data protection, and limited abilities to restore relationships within the environment.
Verdict – Keepit is best suited for global teams focused on data residency, retention guarantees, and intuitive restore workflows.
Rubrik
Rubrik is a leader in the enterprise data protection market and provides comprehensive backup and recovery across datacenter, cloud, hybrid, and SaaS environments. Their solution also offers powerful cyber security features, DSPM, and sensitive data monitoring. Rubrik’s Atlassian data protection solution is 100% vendor managed within their own Microsoft Azure tenant for easy deployment and scalability.
Pros – Rubrik’s security features stand out among the other Atlassian backup/recovery vendors and their Zero Trust architecture + immutable air-gapped backup copies ensure that customer data remains protected and secured from threats. They also offer a variety in-place and out-of-place recovery options with full support for relationship preservation and metadata comparison which make them stand out from the other traditional backup vendors reviewed.
Cons – Rubrik’s solutions tend to be more expensive than others in the market, and their data security features are only available with their premium license tier ($). Rubrik's ability to preserve relationships on recovery is unclear, but appears only partially supported.
Verdict – Rubrik is the best choice for enterprise customers needing broad data protection outside of Atlassian where they can provide strong data security and recoverability capabilities. Their Atlassian support is better than their peers in the traditional backup space, but are not as feature-rich as the specialists in the SaaS market or as mature.
Atlassian Native
Lastly, Atlassian themselves have launched their own data protection solution for Jira & Confluence to compete with these other 3rd party options. Obviously, the solution is limited to only Atlassian data protection, this built-in service only supports an "all or nothing" approach to site recovery and does not provide complete coverage (e.g. Attachments are not protected). The native offering does lack the depth of capabilities available from others such as granularity, relationship recovery, and advanced audit tools. It's free for Atlassian Enterprise Cloud customers and best used in conjunction with third-party tools for data protection and management.
Pros – The tool is integrated into the Atlassian cloud admin portal making for seamless management of backup/recovery. Customers also have the option of exporting backups to their own AWS S3 storage to provide added resilience and redundancy via a separate, secondary copy of the backup data sitting outside of their Atlassian environment.
Cons – The Atlassian solution offers very limited retention options (14 days max if stored in Atlassian, 30 days max if stored in customer’s own S3) and only provides basic “full site” recovery. All restores are destructive, which can be risky, and configuration data is not protected at all.
Verdict – It’s hard to argue with “free”, and for customers already paying for the Enterprise Cloud, this solution might be “good enough” for their data protection needs. The Atlassian native backup solution is best fit for budget-conscious teams needing basic disaster recovery or to supplement other third-party solutions.
Vendor Comparison Matrix
Vendor | Config Data Protected? | Restore Options | UI Location | Relationship Preservation | Diff/Compare Capability | Storage Architecture |
|---|---|---|---|---|---|---|
GitProtect | Full Jira config + data | Full site, bulk, single object, cross-site (full restore only), export/ download | Separate portal | ⚠️ Unclear. Metadata and object IDs are recovered, no mention of relationships | ❌ Not supported | Multi-cloud, hybrid, BYOS supported |
Revyz | Full Jira config + Confluence data, Assets, Automation rules | Full site, bulk, single object, sandbox-to-prod, rollback, cross-site | Embedded in Atlassian | Full object & config mapping | Schema comparison & drift | Revyz AWS tenant or BYOS |
Rewind | Content & metadata only (issues, pages, workflows) | Continuous item-level, full site, bulk, single object, point-in-time | Separate portal | ⚠️ Partial (basic links only) | ❌ Not supported | Rewind-managed cloud, multi-region |
HYCU | Jira & Confluence content; partial config (rules, metadata) | Full site, point-in-time (cross-site not supported) | Separate portal | ❌ Not supported | ❌ Not supported | BYOS only (customer-managed infra) |
Keepit | Content and attachments only | Guided restore wizard, full site, granular item restore | Separate portal | ❌ Not supported | ❌ Not supported | Keepit-owned datacenters (global) |
Rubrik | Full Jira config + data | Full site, in-place, live mount, instant recovery, file-level, disk-level (cross-site not supported) | Separate portal | ⚠️ Partial (metadata & tag recovery) | Snapshot comparison supported | Rubrik-managed cloud (Azure), air-gapped |
Atlassian Native | Full Jira site backup, Config not protected | Full site only, destructive restore, export to S3 | Atlassian admin portal | ❌ Not supported | ❌ Not supported | Atlassian cloud or customer S3 |
Conclusion: Building Resilience in the Atlassian Ecosystem
As organizations increasingly rely on Atlassian Jira and Confluence to store mission-critical data, the importance of robust data protection and security strategies cannot be overstated. Whether you're managing a small team or overseeing a complex enterprise environment, selecting the right data resilience solution is key to safeguarding your information, ensuring compliance, and maintaining business continuity.
This guide offers a practical framework for evaluating today’s leading solutions—balancing architecture, protection, security, and management capabilities. From native Atlassian tools to specialist SaaS vendors and established backup providers, the market is diverse and rapidly maturing. Use the checklist to assess your needs, prioritize essential features, and find the best-fit platform tailored to your organization’s priorities.
Protect smart. Recover fast. Stay competitive.
Written by Matt Tyrer. These posts reflect my own opinion and are not necessarily the opinion of my employer. © 2025 The Competitive Corner, Inc. All rights reserved. This document is protected under Canadian copyright law (Copyright Act, RSC 1985, c C-42). Unauthorized reproduction, distribution, or modification is prohibited without prior written consent.
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