Availability of Assertions Feature in DataHub: Managed vs. Open-Source Version

ingestion
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Original Slack Thread

<@U06TM7M40RK> I am not able to use Asserstions feture in opensource local deployment. Is that available only for managed version?

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Yes, the Assertions feature in DataHub, including Column Assertions, Custom SQL Assertions, and Schema Assertions, is primarily available as part of the Acryl Observe module in Acryl Cloud, which is a managed version of DataHub. This feature is not natively supported in the open-source version of DataHub.

According to the <https://github.com/datahub-project/datahub/blob/master/docs/managed-datahub/observe/column-assertions.md|Column Assertions documentation>, the Column Assertions feature is available as part of the Acryl Observe module of Acryl Cloud. Similarly, the <https://github.com/datahub-project/datahub/blob/master/docs/managed-datahub/observe/custom-sql-assertions.md|Custom SQL Assertions documentation> and the <https://github.com/datahub-project/datahub/blob/master/docs/managed-datahub/observe/schema-assertions.md|Schema Assertions documentation> also indicate that these features are part of the Acryl Observe module.

Additionally, a <Slack conversation> confirms that the open-source version of DataHub does not run assertions natively. Instead, you would need to use an external data tool like Great Expectations or dbt tests to evaluate the assertions and publish the results to DataHub.

Would you like more detailed information on how to integrate and publish results from third-party tools to DataHub?

Sources:

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Hey there! :wave: Make sure your message includes the following information if relevant, so we can help more effectively!

  1. Are you using UI or CLI for ingestion?
  2. Which DataHub version are you using? (e.g. 0.12.0)
  3. What data source(s) are you integrating with DataHub? (e.g. BigQuery)

<@U06TM7M40RK> Can you help with the questions in this thread?

:information_source: We’re experimenting with a new AI assistant for questions in the <#CUMUWQU66> channel to help you track down helpful resources more quickly. Keep in mind that responses may not always be spot-on; feel free to ask it follow-up questions and don’t forget to provide its responses a :thumbsup: or :thumbsdown: so other folks in the Community know if you’re still looking for help on the topic!

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I’m not able to find any data sources to answer your question. Could you provide more details about the specific issue or question you have regarding DataHub? If this doesn’t help, please reach out to the DataHub support team for further assistance. :+1: 0 button :-1: 0 button :bulb: Hint: Mention @runllm in the thread for followups.