# What's the highest-rated data quality software for data engineering teams monitoring production pipelines?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Star ratings alone don't tell a data engineering team much without knowing whether a tool actually holds up on production pipelines, so I pulled together how the top options in <a class="a a--md" elv="true" href="https://www.g2.com/categories/data-quality">data quality</a> rate once pipeline monitoring is the specific use case.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/informatica-data-quality-observability/reviews"><strong>Informatica Data Quality &amp; Observability</strong></a> (4.3 stars, 65 reviews): reviewers highlight the observability layer specifically, including profiling and rule-based checks that catch issues before they propagate downstream.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/timextender/reviews"><strong>TimeXtender</strong></a> (4.3 stars, 157 reviews): recent reviews point to dataset health scores that track quality trends across execution cycles, a fairly direct answer to ongoing pipeline monitoring.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/sas-data-management/reviews"><strong>SAS Data Management</strong></a> (4.1 stars, 100 reviews): rated a touch lower but still strong for teams that want automatic error notification built into the checking process itself.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Does the rating actually track with reliability at scale for anyone running these on production pipelines, or does that only show up after months of real use?</p>

##### Post Metadata
- Posted at: 8 days ago
- Author title: Marketing Executive
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;The better reliability signal is how consistently the platform catches issues before downstream users or jobs do, not the star rating by itself. I’d compare alert precision, monitoring coverage across pipeline stages, time-to-detection, and how well quality checks hold up as data volume and job frequency increase.&lt;/p&gt;

##### Comment Metadata
- Posted at: 8 days ago
- Author title: Marketing Executive





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