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DataOps Process Observability

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DataOps Process Observability is open-source observability for data pipelines. Instead of watching one table at a time, it monitors the whole data journey: the chain of pipelines, datasets, and tools behind a specific report or dashboard. Pre-built agents for Airflow, Databricks, dbt, Azure Data Factory, Power BI, Fivetran, and 10+ other tools, plus a REST API and Python SDK, send run status, test results, and timing into one event stream. A Gantt-style timeline shows the sequence and duration of every step, so you can spot late arrivals and bottlenecks. Rules in a trigger-condition-action format alert email, Slack, Microsoft Teams, or Jira when a run fails, data arrives late, or tests regress. It works with DataOps TestGen for data quality tests. Open source under Apache 2.0 with the web UI, event API, and agents; enterprise adds multi-user access, single sign-on, and support.

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