Step-by-step recovery procedures to diagnose issues, restore data, and get your migration back on track within hours
Immediately halt all migration activities to prevent further data corruption or loss
Disconnect target system from production to prevent users from accessing incomplete data
Capture error logs, transaction logs, and system state before making any changes
Alert project team, management, and affected users about the situation
Confirm that backups are available and can be restored if needed
Systematic analysis to determine what went wrong
Source and target data types incompatible
Symptoms: Type conversion errors, truncated data, NULL values where unexpected
Foreign key, unique, or check constraints violated
Symptoms: Referential integrity errors, duplicate key violations
Migration times out or system resources exhausted
Symptoms: Slow queries, memory errors, connection timeouts
UTF-8, ASCII, or other encoding mismatches
Symptoms: Garbled text, special characters corrupted
Connection drops, firewall blocks, DNS issues
Symptoms: Intermittent failures, partial data transfers
Determine extent of data corruption or loss
Select appropriate recovery approach based on failure type
Restore source system from backup and start fresh
When to use: Data corruption, multiple constraint violations, >20% failure rate
Time required: 2-4 hours depending on data volume
Risk level: Low - returns to known good state
Revert only affected tables or batches
When to use: Specific table failures, isolated constraint issues, <5% failure rate
Time required: 1-2 hours
Risk level: Medium - requires careful coordination
Fix issues in place without rollback
When to use: Data type fixes, encoding corrections, <1% failure rate
Time required: 30 minutes - 2 hours
Risk level: High - requires expert knowledge
Address underlying issue before retry
Update schema mapping, add type conversion logic, adjust target column definitions
Disable constraints during migration, fix data quality issues, adjust migration order
Reduce batch size, add indexes, increase system resources, optimize queries
Standardize on UTF-8, add encoding conversion, validate special characters
Retry with fixes and enhanced monitoring
Test fixes on small subset (1-5% of data) before full migration
Capture detailed logs to quickly identify any new issues
Validate data integrity after each batch
Watch for error rates, performance metrics, data volumes
Keep backups and rollback procedures ready
| Feature | Full Rollback | Partial Rollback | Forward Fix | AI-Powered Recovery |
|---|---|---|---|---|
| Recovery Time | 2-4 hours | 1-2 hours | 30 min - 2 hours | 15-30 minutes |
| Success Rate | 95-98% | 85-90% | 70-80% | 99.2% |
| Data Loss Risk | Very Low | Low-Medium | Medium-High | Near-zero |
| Expertise Required | Medium | High | Very High | Low (automated) |
| Diagnosis Time | 1-2 hours | 2-4 hours | 4-8 hours | 5-15 minutes |
| Validation | Manual checks | Partial automated | Manual verification | Comprehensive auto-validation |
| Downtime Cost | $60K-$120K | $30K-$60K | $15K-$60K | $7.5K-$15K |
| When to Use | >20% failure rate | 5-20% failure rate | <1% failure rate | Any failure scenario |
| Root Cause Analysis | Manual investigation | Log analysis | Deep debugging | AI-powered diagnosis |
AI-powered recovery reduces diagnosis time from hours to minutes and recovery time by 75-85%. With 99.2% success rate and automated validation, it handles any failure scenario with minimal expertise required, reducing downtime costs from $60K-$120K to $7.5K-$15K per incident.
Reduce failure risk by 94% with these measures
Test migration logic on sample data before production
Verify source and target schemas are compatible
Analyze source data for quality issues before migration
Migrate in controlled batches with validation checkpoints
Detect issues immediately with automated alerts
Multiple backup layers for quick recovery
Get 24/7 expert support, automated recovery procedures, and 99.2% first-attempt success rate with AI-powered migration