A unified platform for scalable analytics of health and life science data
Dagster enables health and life science companies to build a scalable data platform for analysis, machine learning, and AI use cases on large, disparate datasets
Complex data and workflows
Handling large, diverse datasets like genomic data and health records requires bespoke tools and complex transformations. Different teams are using disparate tools, making collaboration difficult and a unified view of data impossible.
Operationalizing machine learning models
Integration and deploying trained ML models into production workflows is challenging. Coupled with a lack of observability, teams have difficulty gaining insights into the state of data pipelines, data lineage, and monitoring data processing.
Ensuring compliance and governance
Ensuring data handling practices adhere to regulatory requirements is difficult and slows down velocity, especially when there are no internal standards for data pipelines. Teams are using their own tools without a standardized workflow.
Need for scalable data processing
Processing vast amounts of data efficiently requires complex distributed computing environments, which often are difficult for domain experts to use. Bottlenecks are more common than collaboration as teams rely on a small platform team to be able to operate effectively.
Stop debugging pipeline failures and start solving research problems
Dagster provides a single unified platform for life science and health tech companies to do everything from clinical research, drug discovery, development, and evaluation, to AI-driven research on patient data.
Connect and orchestrate data across tools and systems with clear visibility and end-to-end lineage.
Run automated checks across datasets before they move into reporting or submissions.
Create a platform that everyone can leverage with their own tools, but under a common governance framework.
How one biotech company automated trial reporting across teams
BenchSci reduced computation costs by optimizing data pipelines and only materializing assets with clear benefits. They reduced data errors through improved observability under Dagster’s unified control plane.
Start your data journey today
Unlock the power of data orchestration with our demo or explore the open-source version.
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