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Prefect Acquires Dagster Labs, Strengthening Data

Dagster Labs acquired by Prefect

AcquisitionTechnology, Information and MediaUS

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Acquired

Dagster Labs

United StatesTechnology, Information and Media

Undisclosed amount

July 13, 2026

Prefect logo
Acquirer

Prefect

Software

Prefect has acquired Dagster Labs for an undisclosed amount, a move that signals a notable consolidation within the data orchestration sector. Dagster Labs is recognized for developing Dagster, a data orchestration platform specifically engineered to enhance productivity and establish a high standard for developer experience in data engineering. This acquisition means Prefect will now own and integrate Dagster Labs' technology and operational capabilities.

Prefect, a leading platform in data workflow automation, aims to incorporate Dagster Labs' specialized capabilities into its existing suite of offerings. The strategic rationale behind this acquisition is to combine complementary technologies, thereby creating a more comprehensive and robust solution for modern data teams. Dagster's strong emphasis on developer experience and operational productivity aligns directly with the evolving needs of data professionals seeking more efficient and user-friendly tools for managing complex data pipelines.

The acquisition is expected to generate significant synergies, particularly in product innovation and market expansion. By bringing together the distinct expertise of both teams, the combined entity intends to accelerate the development of advanced data orchestration solutions. This integration is anticipated to provide enhanced tools and services that address the intricate challenges of building, running, and observing data workflows at scale, strengthening Prefect's competitive standing in the data infrastructure landscape.

Looking ahead, the integration of Dagster Labs into Prefect is poised to deliver a unified and powerful platform for managing the entire lifecycle of data pipelines. The combined organization is expected to drive further advancements in data engineering practices, offering users a more integrated, productive, and resilient experience for building and operating critical data systems.

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