[Data Oculus](https://dataoculus.app/) is shift left, real-time and end-to-end data observability platform that can monitors, detect, prevent and remediate any data issues from any datastore as per user defined requirements throughout the data lifecycle. ## Summary Data Oculus aims to be datadog for data. It monitors all types of data in realtime, starting from source, and provides data profiling, data quality and other advance capabilities to enable prevention and remediaton as a central service for all personas of the organization. Data Oculus is built with efficiency in mind so it would not break the bank while continuously checking quality of your daily data. ## Official website and documentations [Data Oculus](https://dataoculus.app/) %% wiki footer: Please don't edit anything below this line %% ## This note in GitHub <span class="git-footer">[Edit In GitHub](https://github.dev/data-engineering-community/data-engineering-wiki/blob/main/Tools/Data%20Quality/DataOculus.md "git-hub-edit-note") | [Copy this note](https://raw.githubusercontent.com/data-engineering-community/data-engineering-wiki/main/Tools/Data%20Quality/DataOculus.md "git-hub-copy-note")</span> <span class="git-footer">Was this page helpful? [👍](https://tally.so/r/mOaxjk?rating=Yes&url=https://dataengineering.wiki/Tools/Data%20Quality/DataOculus) or [👎](https://tally.so/r/mOaxjk?rating=No&url=https://dataengineering.wiki/Tools/Data%20Quality/DataOculus)</span>