> STREAMING
Change Data Capture (CDC) Pipeline: Debezium to Cloud Data Warehouses
Continuous operational database replication pipeline reading transaction logs (WAL) via Debezium to replicate Postgres/MySQL data into analytical stores.
Mathematical Breakeven Inflection Curve
Cost-effective alternative to costly SaaS ETL tools (Fivetran/Stitch) once table rows exceed 10 million/day (saving $3,000 - $15,000/mo).
3 Maturity Tiers & Infrastructure Specifications
Component stack and cost steps from prototype to hyper-scale enterprise
1. Prototype / Early Stage100K - 1M replicated rows/day
$60 - $220 / mo
$0.002 / 10K rows
Stack Components:
- PostgreSQL WAL replication
- Debezium Server (Container on ECS/Fargate)
- S3 Destination Buffer
Cost Allocation:Service Tagging
Autoscaling:Static Container Sizing
2. Scaled Production5M - 50M replicated rows/day
$350 - $1,400 / mo
$0.0008 / 10K rows
Stack Components:
- Debezium on Kubernetes
- Kafka Connect on Spot Instances
- Snowflake / BigQuery Streaming Ingest
Cost Allocation:FOCUS Data Pipeline Allocation
Autoscaling:Kafka Consumer Lag Autoscaler
3. High-Throughput Enterprise100M - 1B replicated rows/day
$1,400 - $5,800 / mo
$0.0003 / 10K rows
Stack Components:
- Debezium Cluster with Raft coordination
- Kafka Broker NVMe Pool
- ClickHouse / BigQuery Direct Pipe
Cost Allocation:Data Domain Cost Allocation
Autoscaling:Connector Parallel Task Autoscaling
Key Cost Drivers
- •Data warehouse streaming ingestion fees
- •Kafka Connect worker compute
- •Source database WAL IOPS
Waste Vulnerabilities
- •Replicating high-churn transient tables (sessions, locks) incurring unnecessary ingestion fees
- •Unbuffered row-by-row warehouse insertions
Mitigation Playbooks
- •Filter out non-business tables in Debezium configuration
- •Buffer streaming inserts into 60-second micro-batches