Data Migration Services
Migrating data between systems is one of the highest-risk operations in software. One mistake can corrupt records, break relationships, or lose critical business data permanently. Anubiz Labs executes data migrations with surgical precision — comprehensive mapping, validation at every stage, rollback plans, and parallel running periods that ensure nothing is lost and nothing breaks.
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We implement, you ship. Async, documented, done in days.
Planning and Data Mapping
Every successful migration starts with exhaustive planning. We analyze your source data — schema structures, relationships, constraints, data volumes, quality issues, and edge cases. We map every field from source to target, document transformations required, and identify data that does not fit the new system's model.
This mapping phase reveals problems early: orphaned records, circular references, data type mismatches, fields that exceed target system limits, and business logic that differs between platforms. Discovering these issues during planning costs a fraction of what they cost when discovered mid-migration.
The output is a detailed migration specification that your team reviews and approves before any data moves. No surprises, no assumptions, no guessing about how edge cases should be handled.
Iterative Migration with Validation
We never run a migration once and hope for the best. Our process involves multiple practice runs against copies of your production data, with validation checks comparing source and target after each run. Record counts, checksums, relationship integrity, and business rule compliance are verified automatically.
Each practice run identifies issues that the mapping missed — unexpected null values, encoding problems, timezone discrepancies, and data that violates target system constraints. We fix these issues iteratively until practice runs complete with zero validation errors consistently.
Minimal Downtime Cutover Strategies
For many businesses, extended downtime during migration is not acceptable. We implement cutover strategies that minimize or eliminate downtime — initial bulk migration during off-hours, continuous synchronization of changes during a parallel running period, and a final cutover that takes minutes instead of hours.
During the parallel running period, both old and new systems operate simultaneously. Data changes in the source system are replicated to the target in near real time. Your team validates the new system with real data while the old system continues handling production traffic. When you are confident the migration is correct, cutover is a simple switch.
Rollback procedures are prepared and tested before the migration begins. If anything goes wrong during cutover, we revert to the source system within minutes with no data loss.
Post-Migration Verification and Support
After cutover, we run comprehensive verification across every migrated dataset. Automated checks compare record counts, field values, relationships, and computed metrics between source and target. Any discrepancies are investigated and resolved immediately.
We provide post-migration support for an agreed period — monitoring the new system for issues that only surface under real production usage, fixing data quality problems that emerge, and adjusting integrations that depend on the migrated data. You are never left alone with a freshly migrated system and a list of unanswered questions.
Why Anubiz Labs
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Skip the research. Tell us what you need, and we'll scope it, implement it, and hand it back — fully documented and production-ready.