Databricks to Aurora Sync Accelerator
Enterprise-Grade Data Synchronization in 2-3 Weeks
Sync 500+ Delta Lake tables to MySQL Aurora with exactly-once delivery guarantees, automatic failover, and comprehensive observability. Production-ready solution with 37+ documentation files and battle-tested resilience patterns. Deploy in 2-3 weeks instead of 4-6 months.
Architecture & Workflows
Our accelerator uses a resilient, event-driven architecture to ensure exactly-once delivery from Databricks to Aurora MySQL.
Sync 500+ Delta Lake tables to MySQL Aurora with exactly-once delivery guarantees, automatic failover, and comprehensive observability. Production-ready solution with 37+ documentation files and battle-tested resilience patterns. Deploy in 2-3 weeks instead of 4-6 months.
Solution Highlights
Enterprise Scale
Support for 500+ tables with configurable sync frequency. Handles millions of rows per day with automated batch grouping for optimal performance.
- ✓ Scale to 500+ concurrent tables
- ✓ Configurable sync frequency (min 1 min)
- ✓ Automated batch grouping logic
Exactly-Once Delivery
Watermark-based deduplication ensures no duplicates or missed records. Two-phase commit with per-batch recovery for crash resilience.
- ✓ Watermark-based deduplication
- ✓ Two-phase commit transactions
- ✓ Idempotent writes to Aurora
Automatic Failover
RDS Proxy integration provides zero-downtime during Aurora maintenance. Circuit breaker patterns prevent cascade failures.
- ✓ Zero-downtime maintenance handling
- ✓ Circuit breaker pattern implementation
- ✓ Automatic retry with exponential backoff
Job Checkpointing
Crash recovery from last checkpoint, not from the beginning. Job-level checkpointing enables incremental recovery and resume capabilities.
- ✓ Stateful streaming checkpoints
- ✓ Incremental recovery
- ✓ No full re-sync required on restart
Comprehensive Monitoring
Full observability with SLA tracking, cost monitoring, and alerting. Proactive CDF expiry monitoring prevents unexpected full resyncs.
- ✓ Real-time SLA tracking dashboards
- ✓ Detailed cost monitoring
- ✓ Proactive CDF expiry alerts
Enterprise Security
RBAC, IAM integration, secrets management, and compliance-ready. Credential sanitization in logs and audit trails for all operations.
- ✓ Secrets Management integration
- ✓ Sanitized audit logs
- ✓ IAM role-based access
Complete Documentation
37+ comprehensive documentation files including runbooks, DR procedures, performance tuning guides, and operator quick start.
- ✓ Runbooks & DR Procedures
- ✓ Performance Tuning Guides
- ✓ Operator Quick Start Playbooks
Fast Deployment
Production-ready in 2-3 weeks vs. 4-6 months for custom development. Includes infrastructure as code and automated setup scripts.
- ✓ Infrastructure as Code (Terraform)
- ✓ Automated setup scripts
- ✓ Production-ready in < 3 weeks
Technical Specifications
Scale & Performance
- Tables: 500+ tables supported
- Sync Frequency: 15-minute incremental (configurable)
- Throughput: 10,000+ rows/second per table
- Latency: < 1 second RPO (Recovery Point Objective)
Reliability
- Delivery Guarantee: Exactly-once semantics
- Failover: Automatic via RDS Proxy
- Recovery: Job-level checkpointing
- RTO: < 30 minutes (Recovery Time Objective)
Observability
- Metrics: Comprehensive Databricks and CloudWatch metrics
- Dashboards: Cost, audit, and access monitoring
- Alerting: SLA violations, CDF expiry, cost overruns
- Logging: Sanitized logs with credential protection
Compliance & Security
- Standards: SOC 2, GDPR, HIPAA ready
- Security: RBAC, IAM, secrets management
- Audit: Complete audit trails and lineage
- Data Protection: PII detection and classification
What's Included
Implementation
Complete Implementation
- Production-ready Python codebase (fully tested)
- Databricks notebooks and workflows
- Terraform infrastructure as code
- Unit and integration tests
- CI/CD pipeline configuration
- Security and compliance configurations
Documentation
Comprehensive Documentation (37 documents)
- Executive Summary with cost analysis and timeline
- Architecture & Design with detailed diagrams
- Operations Guide with monitoring and troubleshooting
- Security & Compliance framework
- Disaster Recovery procedures and runbooks
- API Reference and Performance Tuning Guide
- Operator Quick Start and Common Scenarios Playbook
- Maintenance Plan and SLA Escalation Procedures
Monitoring
Monitoring & Observability
- Cost monitoring dashboards (Databricks SQL)
- Audit and access dashboards
- SLA tracking and alerting
- CDF expiry monitoring (proactive alerts)
- CloudWatch integration
- Custom metrics and logging
Support
Support & Maintenance
- Initial deployment support (2-3 weeks)
- Knowledge transfer sessions
- 30-day post-deployment support
- Optional ongoing maintenance (annual subscription)
- Updates and enhancements
- Priority support channel
Use Cases
Analytics to Operations
Sync Databricks analytics data to Aurora for operational applications. Enable real-time decision-making with fresh data in MySQL-based systems.
Data Warehouse Sync
Replicate Delta Lake tables to MySQL for reporting and BI tools. Provide consistent data across analytics platforms with 15-minute freshness.
Multi-Region Replication
Sync data across regions for disaster recovery. Maintain data consistency with automatic failover capabilities and < 30 minute RTO.
Legacy System Integration
Bridge modern data platforms with legacy MySQL systems. Enable gradual migration without disrupting operations or business continuity.
Get Started with Databricks Aurora Sync
See how Databricks Aurora Sync can transform your data infrastructure. Or contact us directly: office@dhristhi.com
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