Technical shortlist

Open-source ETL and data pipeline tools

Start with data correctness and recovery. Connector count matters less than whether a pipeline handles schema drift, deletes, retries, state, backfills and partial failures for your actual sources and destinations.

For data engineers and platform teams building ingestion, transformation and orchestration workflows.

Lead with the workload

The decision to make

Implement one incremental pipeline with a schema change, failure and backfill. Measure operational work as well as throughput and latency.

Directory fields in this matrix were refreshed through September 27, 2026. Follow each source link for current vendor information.

Available profiles

4 matching tools

All tools →
ToolDeploymentSource modelAPIPricing modelPrimary source
AirbyteSelf-hostedOpen sourceAvailableopen sourceOfficial source ↗
DagsterSelf-hostedOpen sourceAvailableopen sourceOfficial source ↗
RudderStackSelf-hostedOpen sourceAvailableopen sourceOfficial source ↗
TemporalSelf-hostedOpen sourceNot specifiedfreemiumOfficial source ↗
DagsterData Engineering

Dagster is an open-source Python orchestrator built around software-defined assets. Its creator, Dagster Labs (formerly Elementl), was acquired by Prefect in 2026; the open-source project keeps its license and Dagster+ continues unchanged for existing customers.

Open sourceSelf-hostedAPIopen source