Data Migration Services
Our data migration services move data out of legacy apps, on-premise servers and old CRMs or ERPs into the system you are moving to.
- Every record mapped and reconciled
- Full trial runs and a tested rollback
- Cut-over timed around your business
Usually replies within one business day. No obligation.

Senior engineers on every projectTeams in India, the US and Germany
70% less admin time Therapix.AI projectTrusted by 50+ companies in the US, the UK, Germany and India
Data migration services that prove every record arrived
Most migration problems turn out to be data problems. Duplicates, missing fields, dates stored three different ways and business rules nobody wrote down. We find and fix them before the move, not after users start raising tickets.
Most projects run in four stages: assess and profile, map and build, rehearse and validate, then cut over. Your data owners sign off each stage. That way the hard calls on what moves, what gets cleaned and what stays behind happen early.
We profile the source data first. Then we map every field to the target and agree the cleansing rules with the people who own each data set.
Migrations run as scripted jobs, so every rehearsal uses the same logic as the final run. Record counts and checksums show that each record arrived.
Changing a database engine, such as Oracle to PostgreSQL, is a different job. Our database migration services page covers that. This page is about moving business data between applications and platforms.
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Migration Assessment & Planning
We list every source, its volume, what depends on it and how clean it is. You get a plan, a timeline and a risk register your stakeholders can sign.
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Data Profiling & Quality Review
Profiling scripts count the duplicates, blanks, invalid values and mixed formats in each table. We agree the clean-up plan with you before any data moves.
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Field Mapping & Transformation
A source-to-target map for every field. It records how codes, units, date formats and links between records change, and it lives in version control.
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Data Cleansing & Deduplication
Merging duplicate customers, fixing addresses and standardizing values, so the new system opens with data people trust. See our data cleaning services.
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CRM & ERP Data Migration
We move accounts, contacts, orders, products, invoices and their history between Salesforce, HubSpot, Dynamics, SAP, Odoo and similar platforms.
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Legacy to Cloud & SaaS Migration
Aging applications and file shares often hold years of records. We extract them, attachments and audit history included, and load them into your cloud platform or SaaS tool.
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ETL Pipeline Development
Migration jobs are code, not one-off scripts run by hand. Each rehearsal and the final run use exactly the same logic, so results can be repeated.
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Validation & Reconciliation
After each run we check record counts, checksums, samples and business rules. The reconciliation report shows what arrived and flags anything that did not.
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Cut-Over & Rollback Planning
A runbook with timings, owners and the data freeze window. The rollback path gets tested too, so go-live is a planned event and not a gamble.
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Post-Migration Support
In the weeks after go-live we answer data questions fast and fix what users find. Once everything is confirmed, we help you switch off the old system.
Platforms we've built and still support
A few platforms we built and still look after, in healthcare, payments and advertising.
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70% less admin time
Therapix.AI
An AI clinical documentation platform. Clinicians enter session details and it drafts SOAP notes, which cut administrative workload by 70% and gave therapists more time with clients.
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Live transaction tracking
EmberPay
A multi-currency payments platform for finance teams. It tracks transactions in real time, reconciles them automatically and includes a treasury console.
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78% more advertising reach
RideReach
Digital advertising shown inside vehicles, with real-time geo-targeting, impression tracking and automatic campaign optimization.
Our commitment on every data migration project
We judge a migration by what your users find on day one in the new system. The data should be complete, correct and ready to use. Regular updates, rehearsed runs and reconciliation you can check yourself keep each project on track.
- Clear communication
- Rehearsed cut-overs
- Reconciled, complete data
- Hypercare after go-live
- Long-term partnership
CodesClue Technologies delivered a high-quality product that met the client's expectations. The team maintained high professionalism and clear communication throughout the engagement.
How we move your data
A migration is finished when the business trusts the new system. Every step below produces evidence you can check, and that is how the trust gets earned.
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Plan Around the Business
We plan cut-over windows, data freezes and dependencies with the teams who use the data.
Go-live day holds no surprises.
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Fix Data Before It Moves
Profiling shows the quality issues, and we fix them at source or during transformation.
Old problems stay behind.
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Rehearse Until It Is Routine
We run full trial migrations on production-sized data.
What each rehearsal teaches us about timing and errors goes into the next one.
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Prove Every Record Arrived
Every run ends with a report of counts, checksums and business checks.
Owners sign off on evidence they have seen.
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Protect Data Throughout
Transfers are encrypted, access is restricted and test data is masked.
Audit trails record who touched what, and when.
Business problems we solve with data migration
Bad migrations fail quietly. Records go missing, links between them break and month-end reports stop matching. We plan against those failures from the first week.
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Missing or Corrupted Records
Without reconciliation, missing records turn up weeks later in an angry email. We count, checksum and test every run, so gaps show before go-live.
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Poor Data Quality Carried Forward
Duplicates and bad values go straight into the new system unless someone stops them. We profile and clean first.
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Long, Risky Downtime
A big-bang move can stop the business for days. Rehearsals, incremental loads and a planned cut-over keep the outage short.
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Nobody Knows the Old System
Legacy data is often undocumented. We study it, talk to the people who use it every day and write down each rule we find.
What you gain from working with us
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Migration Specialists
Our engineers have moved data between CRMs, ERPs, databases and clouds. They know where migrations tend to break, like lost attachments or orphaned child records.
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Evidence, Not Assurances
A reconciliation report after every run. Auditors and stakeholders see proof that the data is complete, not a promise.
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Less Downtime
Because the migration is rehearsed and scripted, the final cut-over is short and the business keeps running.
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Your Team Stays Focused
We handle mapping, pipelines and validation. Your people get on with learning the new system.
Technologies we use for data migration
Migration work is mostly data engineering. We write extraction and transformation jobs in Python and SQL. Data lands in databases such as PostgreSQL, MySQL and MongoDB, on AWS or your own cloud. Tableau or Power BI reports show reconciliation results to data owners in a form they can check.
Database
- MongoDB
- MySQL
- PostgreSQL
- SQLite
- Firebase
- Redis
Business Intelligence
- Tableau
- Power BI
Back-End
- Node.js
- Ruby on Rails (RoR)
- Laravel
- Django
- Java
- Python
- PHP
- Express.js
- .Net Core
- NestJS
Cloud
- AWS
- Microsoft Azure
- Google Cloud Platform
- Docker
- Kubernetes
- Terraform
- Jenkins
- Ansible
Other stacks we work with (9)
Front-End
- React.js
- Next.js
- Angular
- Vue.js
- Nuxt.js
- HTML
- CSS
- Bootstrap
- JavaScript
- TypeScript
- Tailwind CSS
Mobile Development
- Flutter
- iOS
- Android
- React Native
UI/UX
- Figma
- Illustrator
- Photoshop
- Sketch
IoT
- AWS IoT Core
- Azure IoT Hub
- Raspberry Pi
- MQTT
- Arduino
Automation
- UiPath
- Power Automate
- Automation Anywhere
AI & ML
- TensorFlow
- PyTorch
- Keras
- Scikit-learn
- OpenCV
- AWS AI Services
- IBM Watson
- Microsoft CNTK
- NLTK
- Evidently AI
AI/ML Tools
- AI Agents
- Jupyter
- Anaconda
- PySpark
- Caffe2
- GitHub Copilot
- ChatGPT
AI & LLM Models
- GPT-4
- GPT-3.5
- GPT-3
- LLaMA 3
- LLaMA 2
- DALL·E
- PaLM 2
- Whisper
- Bard
- Midjourney
- Claude
- BERT
Testing & QA
- Selenium
- JUnit
- TestNG
- Cucumber
- Postman
- JMeter
- SonarQube
- TestRail
- Cypress
Our structured data migration approach
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Assess & Profile
We list sources and targets, profile the data, and agree scope, quality rules and what success looks like.
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Map & Build
Every field gets mapped. Then we write the transformation and cleansing rules and build migration jobs that can run again and again.
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Rehearse & Validate
Full trial runs, reconciled each time. We keep fixing issues until the run is predictable.
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Cut Over & Support
The final run happens in the agreed window. Owners confirm completeness, and we stay close to users during hypercare.
Why choose CodesClue for data migration?
We treat a data migration as an engineering project, with evidence at every step. Careful planning and regular updates mean you always know where the move stands. Your data arrives complete.
Benefits you get by partnering with us
- Data engineers who have done this before
- Profiling and cleansing before the move
- Scripted pipelines you can rerun
- Full rehearsals before go-live
- A reconciliation report after every run
- Encrypted transfers and restricted access
- Fixed scope, dedicated team or augmentation
- Hypercare after go-live
- Help retiring the old system
Engagement models for data migration
Pick a model for one migration, or for a longer program where several systems change.
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Fixed-Scope Migration
One migration with agreed sources, targets, timeline and price. It runs from the assessment through to hypercare.
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Dedicated Data Team
Data engineers who work only on your migration program. This fits best when several systems change over a period of months.
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Data Engineer Augmentation
Add data engineers to your own team. They design pipelines and run the migration alongside your people. If your staff already know the systems well, this is often the lighter option.
Data migration across industries
Each industry brings its own data rules to a migration. Finance and healthcare need audit trails and restricted access. Retail and logistics need orders and stock to stay in sync during cut-over. We plan each migration around those rules.
Media and entertainment
Content and Audience Data Migration
Moving to a new CMS, asset library or subscriber platform means keeping assets, metadata, rights and viewing history linked. We map those relationships and check them after every run.
- Content and asset metadata
- Subscriber and account history
- Rights and licensing records
- CMS and asset library moves
Manufacturing
ERP and Production Data Migration
Item masters, bills of materials, routings and supplier records must arrive exactly right, or production stops. We clean and de-duplicate part data, then reconcile counts and values against the old ERP.
- Item master and BOM migration
- Supplier and purchasing records
- Open orders and stock balances
- Legacy ERP to cloud ERP moves
eCommerce
Store and Catalog Replatforming
Products, variants, customers, orders and reviews move between commerce platforms with their history intact. We run the final delta load in a short window, so the store keeps selling.
- Product catalog and variant mapping
- Customer accounts and order history
- Inventory sync during cut-over
- Platform-to-platform replatforming
Finance
Financial Records Migration with Audit Evidence
Ledgers, invoices and transaction history must balance in the new system. We reconcile totals and balances after every run and keep reports your auditors can review.
- General ledger and balance reconciliation
- Invoice and payment history
- Audit-ready reconciliation reports
- Accounting system changeovers
Banking
Customer and Account Data Migration
Bank migrations move customer, account and transaction records under strict access rules. We use restricted environments, masked test data and staged cut-overs to keep the risk low.
- Customer and account records
- Transaction history migration
- Masked data for rehearsals
- Staged cut-over planning
Advertising
Campaign and Audience Data Migration
Moving ad, CRM or analytics platforms means mapping campaigns, audiences and past performance, so reports still compare year on year. We document every mapping rule.
- Campaign and creative history
- Audience and consent records
- Historical performance data
- Ad platform and CRM changeovers
Food service
POS and Ordering Data Migration
Menus, locations, loyalty members and order history move between POS and ordering systems. We schedule cut-over outside service hours, one location at a time where needed.
- Menu and pricing data
- Loyalty and customer records
- Order history migration
- Phased cut-over by location
Healthcare
Patient and Clinical Data Migration
Patient records, appointments and clinical notes need careful mapping and strict access. We limit access to named engineers, mask test data and keep an audit trail of every run.
- Patient record migration
- Appointment and scheduling history
- Masked data for testing
- Audit trail of every run
Cannabis
Seed-to-Sale and Inventory Data Migration
Regulated cannabis businesses must keep inventory, batch and sales records traceable through a system change. We reconcile counts and batch IDs, so compliance reports still match.
- Inventory and batch records
- Sales and customer history
- Compliance report continuity
- POS and seed-to-sale system moves
Data migration FAQs
What teams usually ask us before they move business data from one system to another.
Talk to an engineer
- business@codesclue.com
- +91 99989 77764
- We reply within one business day.
What data migration services does CodesClue offer?
We cover the whole job. That means assessment and planning, profiling, field mapping, cleansing and de-duplication, and CRM and ERP moves. It also covers legacy-to-cloud and SaaS migrations, ETL pipelines, reconciliation, cut-over planning and support after go-live.
How is data migration different from database migration?
Data migration moves business data between applications, for example from one CRM to another. Database migration moves a database to a new engine or host, such as Oracle to PostgreSQL. Plenty of projects need both. Our database migration page covers the second kind.
How do you make sure no data is lost?
We reconcile every run with record counts, checksums, sample checks and business-rule tests. Your data owners sign off on those results before go-live.
How long does a data migration take?
A focused move between two systems usually takes four to eight weeks, rehearsals included. Programs with many sources run in phases over several months.
Will our business have downtime?
Usually very little. We rehearse first and load historical data ahead of time where we can. The final cut-over then fits in a short, agreed window.
Can you clean our data during the migration?
Yes, and we recommend it. Profiling and cleansing are part of the plan, so duplicates and invalid values get fixed before they reach the new system.
Where is your team based?
Our team is based in India, the United States and Germany, which gives you working-hours overlap across Asia, Europe and North America.
How do you price projects?
Most single migrations are fixed-scope projects. We price them after the assessment, once we know the sources, the volumes and the state of the data. Larger programs often use a dedicated data team billed monthly. You can also add data engineers to your own team. The first consultation is free, and a written estimate follows within 24 hours.
How do you handle security and compliance?
Data travels over encrypted connections and stays encrypted at rest. Only the engineers on your project get access to source and target systems. Rehearsals use masked data, and audit trails record who ran what and when. Regulated data is handled to the relevant standard, such as HIPAA. We sign an NDA before any work starts.
Related data services
Tell us about your migration
Tell us which systems you are moving from and to. An engineer will get back to you within one business day with next steps.
- Answer two quick questions and tell us about the project.
- We read it and reply with questions or a plan.
- You get a written estimate with milestones before anything is signed.
No obligation. We reply within one business day.