Manual processes waste months of engineering time and create dangerous production windows.
⏳
Months of Manual Work
Schema analysis, mapping, and testing consume entire quarters of engineering bandwidth — pulling your best engineers off product development.
⚡
Dangerous Downtime Risk
Traditional migrations require maintenance windows that impact customers, violate SLAs, and create cascading failures across dependent services.
💸
Costly Data Errors
Manual scripts introduce type mismatches, truncations, and data loss at scale — errors that can take months to detect and remediate.
The Solution
AI That Handles the Entire Migration
Dflux.ai deploys specialised AI agents that analyse your source database, generate schema mappings, execute live migrations, and validate every row — automatically.
AI scans your source schema, indexes, constraints, and data volumes. Identifies migration complexity and risk areas.
Schema Analysis Agent
02
Map
Automatically generates target schema mappings, resolves type conflicts, and flags breaking changes for review.
Data Mapping Agent
03
Migrate
Live migration with dual-write sync. Source and target stay aligned throughout. Cutover happens in seconds, not hours.
Migration Execution Agent
04
Validate
Post-migration row count checks, checksums, and statistical anomaly detection. Automated rollback if thresholds breach.
Validation Agent
Platform Features
Built for Enterprise-Scale Migration
Every feature you need to migrate the most complex databases safely, quickly, and without disruption.
🤖
AI Schema Mapping
Automatically detects data types, constraints, and relationships. Resolves cross-database type conflicts with AI-generated suggestions.
⚡
Zero-Downtime Migration
Dual-write synchronisation keeps source and target aligned throughout. Controlled cutover with instant rollback capability.
🗃️
20+ Database Types
PostgreSQL, MySQL, Oracle, SQL Server, MongoDB, Cassandra, Redis, DynamoDB, Snowflake, BigQuery, Redshift, and more.
✅
Automated Validation
Row count verification, checksum validation, and statistical anomaly detection. Generates a full integrity report post-migration.
🔒
Enterprise Security
AES-256 encryption at rest and in transit. Role-based access control, SOC2 Type II compliance, and a complete audit trail.
📊
Live Monitoring
Real-time throughput dashboards, configurable alerts, and detailed migration logs. Full observability throughout every stage.
500+
Migrations Completed
99.9%
Accuracy Rate
70%
Faster Than Manual
20+
Database Types
How It Works
From Connect to Complete in Four Steps
Step 01
🔌
Connect Source
Connect your source database using secure credentials. Dflux supports direct connection, VPN, and private link.
→
Step 02
🧠
AI Analyses Schema
Our AI scans your entire schema and auto-generates optimised target mappings in minutes — not weeks.
→
Step 03
🚀
Live Migration
Migration runs live against production. Dual-write keeps everything in sync until you're ready to cut over.
→
Step 04
🎯
Validate & Done
Automated integrity checks confirm everything is correct. One-click cutover. Rollback available at any point.
Customer Stories
Trusted by Data Teams at Scale
“
We migrated 14TB of Oracle data to Aurora PostgreSQL in a single weekend with zero downtime. What would have taken our team 6 months took Dflux.ai 3 days.
AK
Arjun Kapoor
VP of Data Engineering, Fintech Enterprise
“
The AI schema mapping alone saved us weeks of manual work. It detected type conflicts we'd have missed and suggested fixes that actually worked in production.
SR
Sneha Reddy
Head of Infrastructure, Healthcare SaaS
“
We evaluated AWS DMS, Striim, and Dflux.ai. Dflux was the only one that handled our Cassandra-to-DynamoDB migration without custom scripting.
PT
Priya Thomas
CTO, Global Logistics Platform
Get Started Today
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