Security. Data sovereignty. Deployment.
On your terms.
Run projects, support, and development on a unified work management platform deployed on your terms: on-premises, air-gapped, or on a managed server in the region you choose. Keep full control of every byte.
Why data sovereignty and security matter in 2026
In regulated industries, data sovereignty is now a procurement requirement rather than a preference. Cyber security is about more than just preventing breaches. It's also about safeguarding your intellectual property, ensuring compliance and determining who controls your business-critical data.
Security you don't have to take on faith
When your data lives on someone else's servers, your security is only as good as their next policy change, and those changes rarely come with a warning. Vendors have started training AI on customer data by default, often with no meaningful opt-out below the highest pricing tier.
With Easy8, every record stays inside infrastructure you control. No third party ever touches it, no external cloud, no AI training, no jurisdiction you did not choose. You decide who has access, and that decision is never someone else's to make.
Data residency and governance
Where your data physically sits is not the same question as who is legally allowed to reach it. A server in the EU under a US-owned vendor is still subject to foreign jurisdiction, whatever the marketing calls it.
Easy8 puts you in control of where your data lives, who governs it, and how it is accessed. Set residency and governance rules that meet your regulatory and compliance requirements, so nothing leaves the boundaries you define and nobody outside them has the authority to demand it.
The right deployment model, not a forced default
Not every regulated team needs the same level of isolation, and picking the wrong one is a common, costly mistake. Too much isolation slows your team down. Too little exposes you to exactly the risk you were trying to avoid.
Run the full platform your way, whether air-gapped, self-hosted, or managed, so the deployment model matches your actual security requirement, not a one-size-fits-all default.
AI that works for you, not on you
Adopting AI without a clear line usually goes one of two ways: teams lock it out entirely and fall behind, or roll it out so loosely that proprietary know-how quietly ends up training someone else's model.
Deploy AI inside your own environment, so your team gets the benefit of AI without exposing your data to external model training, and without having to choose between speed and control.
Secure project management and data sovereignty webinars
Discover how to keep your projects and data under your control with deployment options built for organisations that can't compromise on data sovereignty. Our experts will help you understand the trade-offs so you can make confident technology decisions. Register for the sessions that fit your team!
The Project Management stack of 2026: How to build a context layer for AI without losing control
Good AI vs. Bad AI: How to use AI in your company without giving away your competitive edge
Different shades of on-premises: Air-gapped, self-hosted, and managed server explained
How teams migrate from Jira server or data center efficiently using a proven step-by-step process
Migrate to the secured Private WorkOps Platform: Easy8
Data migration from Jira to Easy8: Case study of Aspecta
IT Consulting
Jira handled issue tracking. But Aspecta needed to see the whole picture. Manage resources, budgets, and portfolios in one place. Here's how they made the switch to Easy8.
How a global IT company migrated data from on-premises Jira to Easy8 in just 2 weeks
IT services and consulting
When a technology-focused company found itself stuck with an unsupported Jira setup, the need for a secure, reliable alternative became urgent. With support from the Easy8 team and its built-in migrator, they managed to migrate 80% of their data within two weeks, all without giving direct server access, thanks to guided screen sharing.
The remaining 20%, including comments and attachments, which Jira could not export, and we could not import. Anyway, in just two weeks, their migration was almost fully complete, meeting both data protection and operational goals.
Jira alternatives: Articles and tips on self-hosted project management
With Jira Data Center being retired, many organisations must rethink where their project data lives. Explore why on-premises matters and what alternatives are available.
The end of Jira on-premises: Atlassian Data Center terminates support
Atlassian is discontinuing Jira Data Center, and with it, the last on-premises option for Jira users. By 2029, support and updates will be gone entirely. The countdown has started: migrate to the cloud, plan a hybrid setup, or find a true on-premises alternative before the clock runs out. The first phase will be here by the end of March 2026.
Moving from Jira on-premises? Step-by-step guide with n8n migration tool (2026)
With Atlassian's announcement of Jira Data Center end-of-life and the ongoing push toward cloud-only solutions, thousands of organisations are reassessing their project and issue tracking tools. The question is no longer if you should consider on-premises alternatives, but how to execute a smooth transition without disrupting your teams' productivity. This guide walks you through everything you need to know: the migration scope, the process, what to expect, and how to get started with a migration pilot.
Top 5 open source Jira alternatives
Jira’s rising costs, forced cloud shift, and clunky performance are pushing more teams to ask a simple question: isn’t there a better way to run projects? In this guide, we’ll walk through five open-source Jira alternatives that give you predictable pricing, on-premises options, and the flexibility to model complex workflows.
Frequently asked questions
How to migrate Jira database?
Migrating from Jira to another platform can be a complex process, and it typically involves several key steps:
- Assessment and planning: Before starting the migration, it's crucial to assess the current Jira setup, including the number of projects, custom fields, workflows, and any integrations or add-ons in use. This helps in planning the migration strategy and identifying potential challenges.
- Data export: The next step is to export data from Jira. This can be done using Jira's built-in export tools, such as exporting issues to a CSV file. The export should include all necessary data like issues, attachments, and user information.
- Data mapping and transformation: Once the data is exported, it needs to be mapped to the new platform's data structure. This may involve transforming the data to fit the new system's requirements, such as converting custom fields or workflows to the new format.
- Migration tools: Depending on the target platform, there may be specific migration tools available to facilitate the process. For example, if migrating to a cloud-based system, there might be cloud migration assistants or third-party tools that can help automate parts of the migration.
- Testing: Before performing the final migration, it's important to test the process in a staging environment. This helps identify any issues that might arise during the actual migration and allows for adjustments to be made.
- Execution: After successful testing, the migration can be executed. This involves importing the transformed data into the new platform and ensuring that all data is correctly mapped and accessible.
- Validation and cleanup: Post-migration, it's essential to validate that all data has been migrated correctly and that the new system is functioning as expected. This includes checking for any missing data, broken links, or issues with workflows. Any necessary cleanup should be performed at this stage.
- Training and support: Finally, provide training and support to users to help them transition to the new platform. This ensures that they are comfortable with the new system and can use it effectively.
Each migration is unique, and the specific steps may vary depending on the complexity of the Jira setup and the target platform. It's often recommended to work with experienced professionals or solution partners to ensure a smooth migration process.
How do I migrate Jira data to a new server?
Migrating Jira data to a new server requires backing up the database, home directory, and installation files from the old server, then installing a fresh Jira instance on the new server and restoring the data. Perform this in a test environment first to verify compatibility and avoid production issues, especially given your prior Jira migration planning.
Is Jira Data Center end of life?
Atlassian officially announced on September 8, 2025, that Jira Data Center will reach end-of-life on March 28, 2029. This represents the conclusion of the self-managed, on-premise deployment option for Jira Software, Jira Service Management, and other Atlassian products.
After this date, Data Center environments will transition to read-only mode, meaning no new functionality, security patches, or continued support will be available.
Is Atlassian Isolated Cloud GDPR-compliant?
Yes, Atlassian Isolated Cloud is GDPR-compliant, building on Atlassian's established GDPR framework for its cloud offerings. It enhances compliance through single-tenant isolation and customer-selected regions in the EU or elsewhere, minimizing data transfer risks.
What is the difference between Jira Server vs Jira Cloud?
Jira Server and Jira Cloud differ primarily in hosting, management, and feature delivery, with Server being an on-premises solution now end-of-life and Cloud as Atlassian's hosted SaaS offering.
What is the best Jira alternative?
Many teams seek alternatives due to Jira's complexity, cost, or specific feature needs. Several tools offer compelling options, each with unique strengths suited for different kinds of teams and workflows. Among them is Easy8, which provides open source solutions to 25+ team members.
Organizations considering switching from Jira may find Easy8 particularly appealing due to its hybrid project management capabilities, extensive feature set, greater data control, and lower operational costs—all crucial factors for modern, security-conscious, and cost-sensitive teams.
