Linea is solely built to accelerate the process of root causing, fixing and validating production errors.
Linea lets you debug safely without worrying about causing more catastrophic errors in the process.
Linea helps detect and catch potential errors before they are introduced in production.
While lineage is essential for debugging data pipelines, current solutions are labor-intensive, often deterring lineage capture.
Linea automatically analyzes your pipelines, creating a lineage graph comprising pipelines, tasks, and data sources. With this, you can swiftly trace data errors to their source and pinpoint the problematic pipelines.
Reproducing a production pipeline error can take hours by manually replicating your production code, data, and environment locally. In the worst case, testing in production can create more catastrophic errors.
With Linea, in a single click, you can launch a development environment that replicates production pipeline errors locally for rapid and safeguarded debugging.
Unit tests can effectively catch regressions. However, their tedious creation often leads to neglect, resulting in preventable errors.
Linea automatically analyzes your pipeline code, data flows, and modifications, generating unit tests that boost code coverage, thereby enhancing the reliability and resilience of your pipelines.
Linea integrates with your current data tools to make debugging broken pipelines easy, safe, and fast with minimal integration.
Integrates directly with Airflow to ingest, and analyze your existing data pipelines
Dupports debugging in any IDE of your choice including Jupyter, VSCode & Databricks.
Tracks data to pipeline lineage for the most popular data stores including S3, SQL, and CSV files.
Our origins stem from UC Berkeley's RISELab, where the founders of Databricks came from. Our team has a wealth of industry experience in MLOps from leading AI organizations such as LinkedIn, Google, Scale AI, Domino Data Lab, Microsoft, and NASA. We're proud to have the support of renowned advisors and investors, including the co-founders of Databricks and Kaggle, as well as the former US Chief Data Scientist.
We've been fortunate to receive a significant amount of seed stage funding from top-tier venture funds:
Are you passionate about transforming the world of data engineering? At Linea, we're focused on making data pipelines more efficient, resilient, and user-friendly.
If you're excited to face challenging problems, collaborate with a dynamic team, and shape the future of data infrastructure, we can't wait to meet you.