# Which are the best ETL tools for SaaS companies?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">If you’re evaluating which are the <a class="a a--md" elv="true" href="https://www.g2.com/categories/etl-tools">best ETL tools</a> for SaaS companies, the conversation usually centers around one thing: how quickly and reliably you can move data from multiple SaaS apps into a single analytics layer.</p><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">SaaS environments are messy by default; data lives across CRMs, product tools, billing systems, and support platforms. So the ETL tools that stand out are the ones that automate ingestion, reduce manual work, and keep pipelines stable as data scales. That’s why platforms like Fivetran, Databricks, and Domo tend to come up, with SnapLogic often added for more flexible integration workflows.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/fivetran/reviews">Fivetran</a>: One of the most common choices for SaaS teams thanks to its fully managed connectors and automated data pipelines, which reduce the need for engineering effort.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/databricks/reviews">Databricks</a>: Built for unified data engineering and analytics, combining ETL with data lakes and machine learning workflows. It’s powerful, especially as data volume grows.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/domo/reviews">Domo</a>: Designed for business users and analysts, offering ETL capabilities alongside dashboards and data modeling, making it easier for non-technical teams to work with SaaS data.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/snaplogic-intelligent-integration-platform-iip/reviews">SnapLogic Intelligent Integration Platform (IIP)</a>: A low-code integration platform that supports ETL and API-based data flows, useful for SaaS companies that need flexibility across multiple systems.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">As SaaS data grows, are fully automated pipelines more important than having greater control over how data is transformed and modeled?</p>

##### Post Metadata
- Posted at: 5 months ago
- Author title: Marketer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;Explore this breakdown of the &lt;a href=&quot;https://learn.g2.com/best-etl-tools&quot; rel=&quot;noopener noreferrer&quot; target=&quot;_blank&quot;&gt;best ETL tools&lt;/a&gt; to compare how different platforms handle data ingestion, transformation, and scaling across use cases.&lt;/p&gt;

##### Comment Metadata
- Posted at: 5 months ago
- Author title: Marketer





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