![Artur Y.](/assets/transparent-ad5be28fbcd25b7b08d2cebe1d957125437fb5407d75ee717965ad22c8808791.gif "Artur Y.")
AY

Artur Y.

Director of Data Engineering

Mid-Market (51-1000 emp.)

1/13/2025

"A lean data observability platform"

4/5

What do you like best about Elementary Data?

Flexibility of integration, especially with dbt models and relevant data warehouse adapters; a free CLI version that is sufficient to start with and allows for custom setup; Data Health score - a recent release, measuring data validity across 6 dimensions; column-lineage. Review collected by and hosted on G2.com.

What do you dislike about Elementary Data?

The catalog solution is quite basic; I would still recommend investing in a separate, more developed data catalog solution. Some integrations (such as those with BI tools or GitHub) rely on private keys rather than newer, more public authentication methods (or at least I couldn't find any).

Adjust alerting behavior to prevent alert fatigue, as the default settings may not suit the use case. Review collected by and hosted on G2.com.

What problems is Elementary Data solving and how is that benefiting you?

Now having a single metric that serves as a proxy for data quality. I faced challenges in measuring the overall data quality posture, and it was an incident and time-based measurement that was cumbersome. Additionally, it displays the execution time of models, which is very helpful for historical analysis and optimization efforts. Column lineage is an excellent way to observe the impact of changed data, even if the fields were renamed; however, the search function per field or model is not intuitive. Review collected by and hosted on G2.com.

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4.5 out of 5 · Verified reviews from real users

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