SKYLIFTAI
SkyliftAI MigDB — Use Case

Cloud &
Hybrid
Architectures

Move workloads to any cloud, sync on-premises databases with cloud replicas, and orchestrate multi-cloud data flows — all through a single, AI-powered CDC platform.

5+
Cloud platforms
supported natively
<1s
On-prem to cloud
replication lag
100%
Uptime during
cloud migration
0
Vendor lock-in
required
Live Hybrid Architecture — SkyliftAI MigDB Orchestration
🏢
On-Premise
Oracle DB · SQL Server · PostgreSQL
›
CDC
🚀
MigDB
AI Orchestrator
›
Replicate
☁️
AWS Cloud
RDS · Aurora · Redshift
🔷
Azure Cloud
SQL Managed Instance · Synapse
🌐
Google Cloud
Cloud SQL · BigQuery · AlloyDB
🔴
Oracle Cloud
Autonomous DB · Exadata
↑ ONE MIGDB DEPLOYMENT · ALL DESTINATIONS · ALWAYS IN SYNC ↑
Overview

Your Infrastructure Is
Wherever You Need It

Modern enterprises don't live in a single cloud or a single data centre. They operate across on-premises systems, multiple cloud providers, and edge locations — simultaneously. SkyliftAI MigDB bridges all of these environments through a unified Powerful CDC orchestration layer, enabling real-time data synchronisation regardless of where data lives or where it needs to go.

"The question is no longer 'on-premises or cloud?' The question is 'how do we keep our data consistent across all of them?' SkyliftAI MigDB answers that question with a single, AI-driven pipeline." — SkyliftAI Cloud Architecture Guide, 2025
Supported Platforms

Every Major Platform, One Pipeline

🏢
On-Premises
Oracle · PostgreSQL · SQL Server · MySQL · DB2 · Sybase
Source + Target
☁️
Amazon Web Services
RDS · Aurora · Redshift · DynamoDB · S3 · MSK Kafka
Source + Target
🔷
Microsoft Azure
SQL MI · Azure SQL DB · Synapse Analytics · Cosmos DB · Event Hubs
Source + Target
🌐
Google Cloud
Cloud SQL · AlloyDB · BigQuery · Spanner · Pub/Sub
Source + Target
🔴
Oracle Cloud
Autonomous DB · Base DB · Exadata Cloud Service · OCI GoldenGate
Source + Target
SkyliftAI MigDB — All Supported Migration Paths
🏢
On-Prem DB
Oracle / PG / MSSQL
›
CDC Extract
🚀
MigDB CDC
AI Orchestrator
›
Route + Apply
☁️
AWS RDS
Aurora / PostgreSQL
›
Also streams to
🔷
Azure SQL
Managed Instance
›
And also to
🌐
BigQuery
Analytics target
☁️
AWS Aurora
Source cloud DB
›
Cloud CDC
🔄
MigDB Router
Cloud-to-cloud
›
Replicate
🔴
OCI Autonomous
Oracle Cloud target
›
Hybrid sync
🏢
On-Prem DR
Disaster recovery
Any source → Any target · Encrypted in transit · AI-managed schema mapping
Deployment Scenarios

Six Hybrid Architecture
Patterns

SkyliftAI MigDB supports every hybrid and cloud deployment pattern that enterprises encounter. Whether you're lifting and shifting, building a cloud-first DR site, or synchronising across multiple cloud providers, MigDB has a proven playbook.

🏗️
Pattern 01
On-Premises → Cloud Migration (Lift & Shift)
The foundational pattern: move an on-premises Oracle or PostgreSQL database to Amazon RDS, Azure SQL, or Google Cloud SQL — with zero downtime. MigDB runs continuous CDC replication while both environments operate in parallel. When validation is complete, the cutover takes under 60 seconds. The source remains live throughout as a safety net.
🏢 On-Prem Oracle
→
⚡ MigDB CDC
→
☁️ AWS RDS
Zero Downtime 60s Cutover AI Schema Map Full Rollback
🌩️
Pattern 02
Hybrid Active-Standby (Cloud DR)
Keep your on-premises database as the production primary while maintaining a warm, always-current cloud replica as the disaster recovery target. MigDB continuously streams changes to the cloud standby. If the on-premises site fails, the cloud replica can be promoted to primary within seconds — with near-zero RPO and RTO measured in seconds, not hours.
🏢 On-Prem Primary
→
⚡ MigDB CDC
→
☁️ Cloud Standby
Near-Zero RPO Seconds RTO Auto Failover Cloud DR
↔️
Pattern 03
Hybrid Active-Active (On-Prem + Cloud)
Run your on-premises database and cloud database simultaneously as co-primaries, with MigDB's bidirectional CDC keeping them in sub-second sync. On-premises users write to the local database; cloud-native applications write to the cloud instance. AI-powered conflict detection and resolution ensures consistency across both environments at all times.
🏢 On-Prem
↔
⚡ MigDB Bidir
↔
☁️ Cloud
Bidirectional CDR Engine Active-Active Sub-second Sync
🌐
Pattern 04
Multi-Cloud Data Distribution
Stream a single source database simultaneously to multiple cloud providers — AWS for primary workloads, Azure for Microsoft ecosystem integration, and Google BigQuery for ML and analytics. MigDB's fan-out architecture delivers a single CDC stream to all three targets concurrently, with no additional load on the source system whatsoever.
🗄️ Source DB
→
⚡ MigDB Fan-Out
→
AWS
+
Azure
+
GCP
Fan-Out Stream No Vendor Lock-In Zero Source Load
🔀
Pattern 05
Cloud-to-Cloud Migration
Moving from one cloud provider to another — AWS Aurora to Azure SQL Managed Instance, or Google Cloud SQL to Oracle Autonomous Database — without any downtime. MigDB handles cross-cloud schema conversion, manages the CDC pipeline over the public internet with TLS 1.3 encryption, and guides the cutover through its CutoverAdvisor workflow.
☁️ AWS Aurora
→
⚡ MigDB
→
🔷 Azure SQL MI
Cross-Cloud CDC TLS 1.3 No Downtime Schema Convert
🏛️
Pattern 06
Phased Cloud Modernisation
For large enterprises that cannot migrate everything at once, MigDB enables a phased approach: individual schemas, tables, or microservice databases are migrated incrementally over months. MigDB maintains hybrid consistency throughout — keeping the legacy on-premises system and the new cloud environment in sync at each phase boundary, with the ability to pause, validate, and resume at any step.
🏢 Legacy On-Prem
→
⚡ MigDB Phase
→
☁️ Cloud Phase 1
→
Phase 2…
Phased Approach Incremental Pause & Resume Long-Running
5+
Cloud platforms
supported natively
<1s
On-prem to cloud
replication lag
6
Hybrid deployment
patterns supported
0s
Downtime during
any migration pattern
Why MigDB

Built for the Complexity
of Real Hybrid Environments

Hybrid architectures are hard. Different database dialects, different network topologies, different security models. SkyliftAI MigDB is purpose-built to absorb that complexity — so your engineers don't have to.

AI
Intelligent Network Path Optimisation
MigDB's AI engine continuously evaluates network paths between source and target, dynamically routing CDC traffic through the lowest-latency, highest-reliability path available — Direct Connect, VPN, or public internet with TLS 1.3.
🔒
End-to-End Encryption Everywhere
All data in transit between on-premises and cloud environments is encrypted with TLS 1.3. At rest, MigDB respects the encryption configuration of both the source and target databases. Key management integrates with AWS KMS, Azure Key Vault, and Google Cloud KMS.
0
Zero Vendor Lock-In Architecture
MigDB's database-agnostic CDC layer means you are never locked into a single cloud provider or database engine. Swap targets, add destinations, or reverse the replication direction at any time without re-architecting your pipeline.
⚡
Bandwidth-Efficient Delta Compression
MigDB's trail file format compresses and deduplicates changed data before transmission. Only the actual deltas — not full row images — cross the network for UPDATE operations, significantly reducing bandwidth costs on metered cloud connections and long-distance WAN links.
🧠
Cross-Platform Schema Intelligence
Oracle NUMBER(10,2) doesn't map cleanly to PostgreSQL NUMERIC, and SQL Server DATETIME behaves differently from MySQL DATETIME. MigDB's SchemaForge AI handles all cross-platform type mappings, stored procedure translation, and constraint equivalence automatically.
📋
Compliance & Data Residency Controls
Table-level data residency rules ensure that PII and regulated data never leaves its designated region or cloud boundary. GDPR, HIPAA, PCI-DSS, and SOX compliance requirements are enforced at the replication layer — not reliant on manual data governance processes.
Feature Checklist

Everything You Need for Hybrid CDC

Comparison

MigDB vs. Native Cloud
Migration Tools

Capability AWS DMS Azure Database Migration SkyliftAI MigDB
Multi-Cloud Support AWS targets only Azure targets only All clouds + on-prem
Bidirectional CDC Limited Not supported Full active-active with CDR
AI Schema Conversion Schema Conversion Tool (manual) SSMA (manual review) AI-automated + confidence scoring
Vendor Lock-In AWS ecosystem only Azure ecosystem only Zero lock-in, any target
Continuous Validation Post-migration only Post-migration only Real-time DataSentinel
Cutover Guidance Manual process Manual process AI CutoverAdvisor (<60s)
Multi-Source Fan-Out One-to-one only One-to-one only One source → unlimited targets
Data Residency Rules Via AWS policies Via Azure policies Native table-level enforcement
On-Prem → Multi-Cloud Not supported Not supported Full support, single deployment

Your Data.
Any Cloud. Any Time.

SkyliftAI MigDB removes the boundaries between on-premises infrastructure and cloud environments — letting data flow freely, securely, and continuously to wherever your business needs it.

🏢 On-Premises
☁️ AWS
🔷 Azure
🌐 Google Cloud
🔴 Oracle Cloud
⚡ Powerful CDC