| Built for | Enterprise database and file replication | Real-time database replication into warehouses and lakehouses |
|---|
| Architecture | Hub Server, repository database, schedulers, router files, and optional Agents | Fully managed end-to-end CDC with no infrastructure to provision |
|---|
| Change capture | Continuous log-based CDC | Continuous CDC with sub-minute end-to-end replication |
|---|
| Pipeline ownership | Your team configures and operates Hubs, Agents, channels, capture, integrate, refresh, and compare jobs | Artie manages the supported CDC pipeline end to end, including capture, buffering, merge, monitoring, and alerting |
|---|
| Data correctness | Replication jobs and comparison workflows configured in HVR | Exactly-once delivery – no duplicates or data loss through failures and restarts |
|---|
| Schema evolution | Managed through replication configuration | Column adds, drops, and type changes detected and applied automatically |
|---|
| Backfill behavior | Refresh and re-sync workflows; MAR treatment depends on documented account and version conditions | Online, non-intrusive backfills that run alongside CDC without impacting your source database |
|---|
| Pricing model | Monthly Active Rows (MAR) across source and target locations; one source to multiple targets counts MAR per destination | Growth plans from $500/mo based on monthly usage; Enterprise fixed, predictable pricing |
|---|
| Backfill cost | Re-sync pricing depends on HVR's documented conditions | Free |
|---|
| Cost predictability | Changes with active rows and destination fan-out | Predictable, contracted volume tier |
|---|
| Observability | HVR dashboard, event logs, and job monitoring | Pipeline health, throughput, latency, and error tracking in one dashboard; Datadog integration |
|---|
| Deployment options | HVR Hub and Agents deployed in your environment | Artie Cloud or BYOC in your VPC |
|---|
| Best fit | Complex enterprise replication, including operational and multi-directional use cases | Mission-critical database-to-warehouse and database-to-lake pipelines |
|---|