Company comparison
Dagster vs Airbyte
Radar profile, momentum bars, and stack placement side by side.
Dagster
Not scored
momentum
Airbyte
Not scored
momentum
Dagster capital
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Airbyte capital
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No radar series.
Momentum head-to-head
Attribute tape
| Field | Dagster | Airbyte |
|---|---|---|
| Category | Data infrastructure | Data infrastructure |
| Stack | Layer 3 | Layer 3 |
| HQ | San Francisco, CA, United States | San Francisco, CA, United States |
| Founded | 2019 | 2020 |
| Status | Operating | Operating |
| Funding | — | — |
| Momentum | — | — |
| Summary | Dagster (operated by Elementl, Inc.) is an open-source, asset-centric data orchestration platform that lets data and AI teams define, schedule, observe, and activate pipelines with full lineage and quality context. Unlike traditional job schedulers, it models the actual data assets produced rather than simply tracking task completion. | Airbyte is an open-source data movement and ELT platform that is expanding into an agent data-infrastructure layer, giving AI agents real-time access to enterprise data through type-safe connectors, managed credentials, and low-latency search via its Airbyte Agents product. |
| Who for | Teams evaluating AI vendors in this category. | Teams evaluating AI vendors in this category. |
| Differentiator | Dagster (operated by Elementl, Inc.) is an open-source, asset-centric data orchestration platform that lets data and AI teams define, schedule, observe, and activate pipelines with full lineage and quality context. Unlike traditional job schedulers, it models the actual data assets produced rather than simply tracking task completion. | Airbyte is an open-source data movement and ELT platform that is expanding into an agent data-infrastructure layer, giving AI agents real-time access to enterprise data through type-safe connectors, managed credentials, and low-latency search via its Airbyte Agents product. |
