AWS DMS (Database Migration Service) handles database replication and migration at scale, but the setup is cloud-only, AWS-specific, and complex. QueryFlow is the native Mac alternative for smaller database migration and sync workflows without the AWS overhead.
Quick answer: QueryFlow is a native Mac alternative to AWS DMS for database migration and replication workflows. Where AWS DMS requires AWS account setup, replication instances, endpoints, and IAM configuration, QueryFlow runs as a desktop Mac app with direct database connections. Handles Postgres, MySQL, Snowflake, Redshift migrations and ongoing syncs for $299.99/year.
AWS DMS is Amazon's managed service for migrating and replicating data between databases. Supports many sources and destinations (Postgres, MySQL, SQL Server, Oracle, MongoDB, S3, Redshift, etc.), handles full migration and ongoing CDC replication, integrates with AWS Schema Conversion Tool for cross-engine migrations. Powerful and proven at large scale.
Getting AWS DMS running requires: AWS account, VPC configuration, replication instance provisioning (sized to workload), source endpoint configuration (with appropriate networking), target endpoint configuration, database migration task definition, monitoring setup. For experienced AWS engineers this is 1-2 days of work. For developers new to AWS, it can be 1-2 weeks.
AWS DMS pricing has multiple components: replication instance hours ($0.018-$3.61/hour depending on instance class), data transfer costs, optional CloudWatch logs storage. A small replication workload runs $50-200/month. Larger workloads with significant data volumes run $1,000+/month. The pricing model rewards scale but penalizes small-to-medium workloads with cloud infrastructure overhead.
Native Mac desktop app. Direct database connections (no VPC, no AWS account required). Pipelines define sources, destinations, and transformations. Scheduling via macOS SMAppService. $299.99/year flat regardless of data volume. Targeted at small-to-medium migration and sync workloads where AWS DMS's complexity isn't justified.
AWS DMS shines: enterprise-scale migrations (TB+), ongoing CDC replication with strict SLA, complex multi-engine migrations (Oracle → Postgres) using Schema Conversion Tool, regulated environments requiring AWS compliance certifications. QueryFlow shines: small-to-medium migrations (GB-scale), scheduled batch sync at daily/hourly frequency, single-engine or compatible-engine migrations (Postgres → Snowflake, MySQL → Redshift), Mac-based developer workflows.
Production Postgres on RDS → Snowflake for analytics: scheduled daily sync via QueryFlow pipeline, runs from a Mac mini. Aurora MySQL → Redshift for legacy reporting: weekly full snapshot + daily incremental, $50/year Mac mini cost vs $300/month DMS estimate. Heroku Postgres → Snowflake for product analytics: same pattern, $25/month effective cost vs $400+/month managed alternative.
Migrations over 100GB where parallel cluster compute matters for runtime. Ongoing CDC replication where you need sub-minute lag and AWS-native monitoring. Heterogeneous-engine migrations (Oracle to Postgres) requiring Schema Conversion Tool. Workloads where Mac-based desktop infrastructure isn't viable (team isn't Mac-based, or compliance requires cloud-only execution).
Not log-based CDC in v1.5 — QueryFlow uses polling-based incremental sync (timestamp or sequence ID tracking). For typical batch sync workloads at daily/hourly frequency, polling is functionally equivalent. For sub-minute CDC SLAs, DMS or specialized tools (Debezium, Fivetran HVR) are more appropriate.
Yes, with caveats. Network throughput becomes the bottleneck for large migrations. For 100GB+ migrations where 24-48 hour runtime is acceptable, QueryFlow works. For migrations requiring sub-hour SLAs at TB scale, AWS DMS with appropriate replication instance sizing is the better tool.
Yes for S3 (as a destination) and SFTP (for staging). QueryFlow doesn't require AWS overall — you can run it without any AWS connections. But for S3-backed pipelines, the AWS integration is first-class.
Yes if you can establish network connectivity from your Mac to the VPC. Common patterns: VPN to the VPC, AWS Client VPN, bastion host with SSH tunneling, or PrivateLink for service-specific access. Once connectivity is established, QueryFlow connects to RDS/Aurora as any other Postgres or MySQL endpoint.
QueryFlow doesn't replicate Schema Conversion Tool's automated cross-engine schema translation. For migrations that need this (Oracle → Postgres conversion of stored procedures, etc.), use SCT for the schema work then use QueryFlow for ongoing data sync.
14-day free trial. Move your small-to-medium database migrations off AWS DMS and onto your Mac.