No-code integration platform for rich bi-directional sync
Zero downtime migration to tool of your choice
Keep Historical Data, Without Slowing Down Your Tools
Migrate or restructure Azure DevOps Instances
Real-time, context-rich data lake for AI or analytics
By Role
Accelerate delivery with clear insights
Transform smarter with a connected digital thread
Confident transitions for every enterprise change
By Initiative
Modernize and move to cloud without disruption
Build a compliant digital thread for complex environments
Build the foundation for smarter AI
By Domain
No-code integration across teams & systems
Enable collaboration between IT, support & business teams
Connect PLM & engineering teams for smarter products
Ensure regulatory compliance from start to release
Explore the latest in technology and best practices
Success stories from the field
Actionable insights for your business challenges.
See solutions in action
Learn, plan, and execute with confidence
Official announcements and updates
Join discussions that drive results
Stay ahead with curated insights
Replacing an ALM system shouldn’t mean losing years of engineering history. Learn why legacy data retention matters, why common workarounds fail, and how purpose-built ALM data archiving helps organizations preserve traceability, compliance, and institutional knowledge after migration.
In today’s innovation economy, businesses are constantly seeking ways to reinvent and enhance their digital core.
One of the key drivers of innovation is the adoption of modern, flexible and task-appropriate tools that enable teams to unlock themselves from restrictive legacy processes and applications.
Modernizing your application infrastructure to leverage best-in-class tools and technologies has become a strategic imperative to survive and succeed in the new digital world.
However, with many different approaches available, selecting the right migration strategy which ensures minimal disruption, and no data loss can be a challenge. Two prominent methods – lift and shift and agile data migration – offer distinct advantages and considerations.
This blog delves into these two popular data migration approaches, helping you choose the best fit for your organization’s digital transformation journey.
Lift and shift, also known as rehosting, involves migrating existing applications and their associated data “as-is” to a new environment. It’s a straightforward approach that minimizes configuration adjustments.
Here’s how it works: Imagine picking up your entire application, data, and operating system – everything it needs to function – and placing it down in a new cloud environment. Source applications need to be taken down for maintenance while copy-paste is going on. That’s essentially lift and shift.
However, simply copying your applications to the new tool (lift and shift) won’t unlock the full potential of digital transformation. Rethinking your applications for the new environment is the key to unlock complete value.
Agile data migration is an iterative, step-by-step approach to transferring data from one system to another. It involves running both old and new systems in parallel and incrementally transferring data without the risk of downtime.
This approach can help reduce risks, productivity loss, and business continuity concerns. It also allows teams to use both systems until the switchover, and to migrate data at a pace that’s comfortable for the organization.
Non-disruptive, zero downtime and no productivity loss during the transition.
Allows ongoing cost control, eliminates surprises and hefty upfront investments.
Prioritizes ongoing security and compliance assessments, minimizing risks.
High data fidelity preserving relationships, history, content richness and linkages.
Incremental migration approach phased at a pace that teams are comfortable with, allowing continuous improvement and adaptation.
Agile minimizes disruption, allowing faster integration and utilization of the new application’s functionalities – delivering business value early and often.
There is no one-size-fits-all approach which works for every business need. However, a clear understanding of how each approach defines some of the most critical business objectives is important before choosing a data migration approach.
Let’s understand better:
Note: This table summarizes key considerations for data migration approaches, based on internal assessments and project experience. The goal is to provide a clear comparison framework, not to dictate specific choices.
| Aspect | Lift and Shift | Agile Data Migration | Why Agile |
|---|---|---|---|
|
Non-disruptive Migration |
Potential outages |
Zero Downtime (planned) |
Agile allows for smaller, planned migrations minimizing disruption. |
|
Application Support |
Limited to simple |
Handles complex well |
Agile’s granular approach tackles intricate data structures and integrations smoothly. |
|
Team Size |
Good for smaller Teams |
Best for medium size-enterprise-grade teams |
Medium to large sized teams can benefit from Agile’s ability to minimize risk and disruption, allowing smoother transition and user management. |
|
Compliance |
Doesn’t evaluate existing security vulnerabilities |
Ongoing security assessments, high data fidelity |
Agile allows for incorporating compliance considerations with each data-set (data cleansing, encryption, access controls) during migration. |
|
Return on Investment |
Limited Value |
Unlocks Complete Potential of New Environment |
Agile minimizes rework, optimizes infrastructure, and delivers long-term cost savings for the business. |
In today’s innovation-driven economy, the urgency to modernize with agility and minimal disruptions is paramount. An intelligent operating model that’s built for scale, not just for efficiency, largely dictates an enterprise’s ability to succeed.
By choosing OpsHub Migration Manager (OMM)’s agile data migration capabilities – you’re not just selecting a modernization tool; you’re making a strategic move towards a future of agility, innovation, and sustained growth in the digital realm.
The Essential Guide to Application Data Migration
Muskaan works as a Content and SEO Strategist at OpsHub. Her interests include devising content marketing strategies for SaaS enterprises, brand strategy and the convergence of product-first thinking with emerging tech and communication.
