Meltano is an open-source ELT orchestrator that assembles pipelines from Singer taps and targets declaratively in version-controlled YAML, with a hub cataloguing over 600 community-maintained connectors.
A Meltano project is a YAML file plus the CLI, run wherever you deploy it: containers, CI, or a scheduler. Built-in schedules delegate execution to cron, Airflow, or Dagster via plugins. Incremental state follows Singer replication modes (INCREMENTAL, LOG_BASED, or FULL_TABLE per stream). The tool itself is MIT-licensed and free; managed offerings meter compute hours.
How Meltano answers the questions Batch ELT turns on.
| How it works | |
| Authoring model | Declarative YAML in version control; CLI-only since 3.0 |
| Incremental sync | Singer replication: INCREMENTAL, LOG_BASED or FULL_TABLE per stream |
| Sync frequency | Cron intervals via meltano schedule, executed by Airflow or Dagster |
| Schema drift | Carried in Singer SCHEMA messages; the target decides what happens |
| Running it | |
| Scheduling | Built-in schedules; Airflow and Dagster as plugins |
| Connections | |
| Source coverage | SaaS APIs, databases and files, from the Singer ecosystem |
| Destinations | Warehouses, databases and object storage, via Singer targets |
| Custom connectors | Meltano SDK; a Singer tap in any language |
| Transformations | dbt as a transformer plugin, run in the same pipeline |
| Cost | |
| Billing unit | Free self-hosted; managed tiers metered in compute hours |
vs Meltano: Source-available · Self-hosted · Managed · Hybrid · Operational complexity: High · Kotlin, Java, Python
vs Meltano: Operational complexity: Low
vs Meltano: Source-available · Managed · Self-hosted · Hybrid · Operational complexity: Low · Batch · Streaming · Rust