Any Source. Any Cloud Target. Zero Downtime.
Migrate Oracle, SQL Server, MySQL, PostgreSQL, DB2, Teradata, and more to Snowflake, Redshift, BigQuery, or Azure SQL — with AI-powered schema mapping, CDC-based sync, and automated rollback.
No mainframe required — works with any supported source database.
How It Works
Discover — Schema Intelligence & Risk Assessment
Connect your source database. AI reads COBOL copybooks, SQL DDL, JSON, Avro, and Protobuf schemas to build a complete picture of your data landscape before a single row moves.
- Schema optimization recommendations with confidence scores
- Migration risk assessment with duration and cost estimates
- Intelligent data type mapping — including EBCDIC, packed decimals, and dialect translation
- Complexity scoring across tables, indexes, views, stored procedures, and triggers
- Auto-generated IaC (Terraform / CDK / Bicep) and CI/CD pipeline scaffolding from schema analysis
Modernize — Mapping, Transformation & IaC Generation
Review AI-generated mappings, customize transformation rules, and configure your target cloud database. Deployment-ready infrastructure code is generated automatically.
- Visual schema mapper with drag-and-drop column alignment
- Custom transformation rules for business logic and dialect translation (e.g., Oracle PL/SQL → PostgreSQL PL/pgSQL)
- Target platform configuration (Redshift, BigQuery, Snowflake, Azure SQL, and more)
- Terraform / CDK / Bicep IaC generated and ready for your pipeline
- Validation dry-run with pre-flight report before migration begins
Migrate — Mainframe-Native CDC with Exactly-Once Semantics
Execute the migration in parallel with your production system using true Change Data Capture — not batch ETL, not JDBC polling. Binary log reading keeps source and target in sync with zero data loss.
- DB2/IMS binary log reading with LSN watermark tracking
- Exactly-once delivery semantics — no duplicates, no gaps
- DLQ-backed retry for failed events with full replayability
- Automatic checkpointing — resume from last LSN if interrupted
- Source-agnostic SourceConnectorFactory — DB2, IMS, Oracle, SQL Server, MySQL, PostgreSQL, MongoDB all supported; new sources drop in without core changes
Validate & Recover — 4-Dimensional Quality + Compliance Evidence
Before and after cutover, every table is scored across four data quality dimensions. Compliance artifacts are generated automatically. 1-click rollback is available at every stage.
- Completeness: null rates, data loss, non-nullable violations
- Accuracy: type correctness, value ranges, truncation detection
- Consistency: referential integrity, cardinality checks
- Uniqueness: duplicate detection in primary and unique keys
- Immutable audit trail with before/after diffs — SOC 2, HIPAA, PCI DSS, SOX ready
- One-click rollback restores source environment in minutes
Operate & Optimize — Autonomous AI Agents + Observability
Three always-on AI agents monitor, learn, and predict — continuously improving migration health and SLO adherence after cutover. Full Prometheus/Grafana observability is live from day one.
- Proactive Analysis Agent: detects schema drift, data anomalies, and recommends corrective actions
- Migration Learning Agent: learns from every migration run to improve future mapping and risk recommendations
- CDC Lag Prediction Agent: forecasts replication lag and SLO breaches before they occur
- 16 Prometheus metrics + 14-panel Grafana dashboard, import-ready
- Alertmanager rules pre-configured for CDC lag, quality score drops, and throughput degradation
What's Under the Hood
AI Schema Mapping & Risk Assessment
Automated schema analysis powered by Claude AI — column-level type mapping, constraint inference, index recommendations, and risk scoring before a single row moves.
4-Dimensional Data Quality Scoring
Completeness, accuracy, consistency, and uniqueness scores generated on source data before migration. Know your data quality before you commit.
Mainframe-Native CDC — Exactly-Once Semantics
Binary log reading with LSN watermark tracking and DLQ-backed retry. Not batch ETL, not JDBC polling — true exactly-once delivery with zero data loss guarantee.
Source-Agnostic Plugin Architecture
SourceConnectorFactory handles DB2, IMS, Oracle, SQL Server, MySQL, PostgreSQL, and MongoDB. New source connectors drop in without changes to the migration core.
IaC + CI/CD Pipeline Generation
AI auto-generates deployment-ready Terraform, CDK, or Bicep infrastructure code and CI/CD pipeline scaffolding directly from schema analysis — no manual scripting.
Zero-Downtime Execution
Change Data Capture keeps source and target in sync during migration. Cut over at any time with no planned downtime window required.
Autonomous AI Agents
Three always-on agents: Proactive Analysis (detects issues, recommends actions), Migration Learning (improves future runs), and CDC Lag Prediction (forecasts SLO breaches before they occur).
Rollback at Any Stage
Every migration phase is reversible. Automated rollback restores your source environment in minutes if validation fails or you need to abort.
Referential Integrity Preservation
Foreign keys, constraints, and inter-table relationships are analyzed and rebuilt correctly in the target schema — no post-migration cleanup required.
Compliance Evidence Generated Automatically
Immutable audit trail with before/after diffs, data lineage records, and phase-gate snapshots ready for SOC 2, HIPAA, PCI DSS, and SOX audits.
Supported Sources & Targets
Migrate From
Migrate To
All target platforms benefit from AI-optimized schema design, including appropriate partitioning strategies, sort keys (Redshift), clustering fields (BigQuery), and index recommendations.
Enterprise Observability Built In
Every migration run publishes real-time metrics. Four integrated observability components give your operations team full visibility from day one — no custom setup required.
- Migration success rate, duration, and row throughput
- CDC replication lag with Alertmanager threshold rules
- Per-dimension data quality score tracking over time
- Pre-built Grafana dashboard (14 panels), import-ready
- Alertmanager rules for CDC lag, quality drops, and throughput degradation
- Data Quality Monitoring dashboard with trend analysis
Frequently Asked Questions
Cloud Agnostic by Design
Migrate to any cloud or stay on-premises — no vendor lock-in, no forced target platform.
Measurable Outcomes
Zero Data Loss
Exactly-once CDC semantics and DLQ-backed retry ensure no row is ever lost or duplicated in transit.
Zero Downtime
Binary log CDC keeps source and target in sync — cut over at a time of your choosing, no maintenance window needed.
Faster Time to Value
AI schema mapping, auto-generated IaC, and wave-based delivery compress timelines from months to weeks.
Higher ROI
Autonomous AI agents continuously optimize post-migration performance — the value compounds after go-live.
Enterprise Ready
SOC 2, HIPAA, PCI DSS, and SOX-ready audit trails, compliance evidence, and role-based access built in.
Also included in Full Platform — $14,999/mo
Migrate the full data layer
Database migration pairs naturally with mainframe code migration and identity migration — cover all three in one subscription.
Ready to Migrate Your Database?
Schedule a walk-through and see how QuickCloud runs a live AI assessment against your source database.
Schedule Personalized Walk-through