Scale & Performance
500+ tables, configurable 15-minute incremental sync, 10,000+ rows per second per table, and sub-second recovery point objective targets.
Solution Accelerator
Databricks to Aurora Sync Accelerator
Enterprise-grade data synchronization in 2-3 weeks.
Architecture & Workflows
A resilient event-driven architecture designed for exactly-once delivery from Databricks to Aurora MySQL.
Sync 500+ Delta Lake tables to MySQL Aurora with exactly-once delivery, automatic failover, checkpoint-based recovery, and comprehensive observability. The accelerator includes implementation assets, runbooks, monitoring, and operational handoff for a production sync foundation.
Built for production scale and reliability.
500+ Delta Lake tablesExactly-once delivery guaranteesAutomatic failover and disaster recovery37+ documentation files2-3 week deployment timeline
Reliability
Exactly-once semantics, RDS Proxy failover, checkpoint recovery, retry handling, and recovery time objective targets under 30 minutes.
Observability
Databricks and CloudWatch metrics, cost and audit dashboards, SLA alerting, CDF expiry monitoring, and sanitized operational logs.
Compliance & Security
SOC 2, GDPR, and HIPAA-ready controls with RBAC, IAM, secrets management, audit trails, lineage, and PII classification.
What the accelerator brings into the engagement.
Enterprise Scale
Support for 500+ Delta Lake tables, configurable sync frequency, high-throughput batch grouping, and millions of rows per day.
Exactly-Once Delivery
Watermark-based deduplication, two-phase commit behavior, idempotent Aurora writes, and per-batch recovery patterns.
Automatic Failover
RDS Proxy integration, retry behavior, and circuit breaker patterns help protect sync jobs during maintenance or transient failure.
Job Checkpointing
Stateful checkpoints allow jobs to resume from the last known point instead of forcing full re-sync after interruption.
Monitoring & Alerts
SLA tracking, cost monitoring, audit visibility, CloudWatch metrics, and proactive CDF expiry alerts.
Security Controls
RBAC, IAM, secrets management, sanitized logs, audit trails, lineage, and compliance-ready configuration.
Operator Runbooks
Disaster recovery procedures, operator quick starts, common scenarios, maintenance plans, and escalation guidance.
Infrastructure as Code
Terraform, automated setup scripts, CI/CD configuration, tests, and repeatable environment provisioning.
Implementation assets, documentation, and support.
Implementation
Production Python codebase, Databricks notebooks and workflows, Terraform, tests, CI/CD, and security configuration.
Documentation
Executive summary, architecture, operations, security, disaster recovery, API reference, and maintenance guides.
Monitoring
Cost dashboards, audit dashboards, SLA tracking, CDF expiry alerts, CloudWatch integration, and custom metrics.
Support
Initial deployment support, knowledge transfer, post-deployment support, and optional ongoing maintenance.
Structured path to production.
Week 1
Aurora, RDS Proxy, Databricks workspace, IAM, and secrets setup.
Week 2
Sync engine deployment, initial onboarding, monitoring, and validation.
Week 3
Full onboarding, load testing, optimization, handoff, and documentation review.
Where this accelerator fits.
Analytics to Operations
Move fresh analytics data into operational MySQL applications.
Data Warehouse Sync
Replicate Delta Lake tables for reporting and BI with 15-minute freshness.
Multi-Region Replication
Support disaster recovery with automatic failover and low RTO.
Legacy System Integration
Bridge modern lakehouse data with MySQL systems during migration.
Faster than custom delivery.
$150k+ custom build
Traditional custom development can take 16-20 weeks.
$50k accelerator
Accelerator delivery targets 2-3 weeks with fixed scope and support.
40-50% cost reduction
Reduced delivery risk, reusable assets, and included documentation.
Get Started
Ready to take your business to the next level?
See how Databricks Aurora Sync can transform your infrastructure.