# Which Big Data Analytics platforms integrate seamlessly with existing tools like Looker and dbt workflows?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">Modern data stacks are rarely end-to-end from one vendor, so the real question for <a class="a a--md" elv="true" href="https://www.g2.com/categories/big-data-analytics">Big Data Analytics</a> platforms is whether they play well with the tools already running on top of them.</p><ul>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/snowflake/reviews"><strong>Snowflake</strong></a><strong>:</strong> A common backbone for modern data stacks, with native connectivity that dbt and Looker are both built to work against directly.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/databricks/reviews"><strong>Databricks</strong></a><strong>:</strong> Its Unity Catalog and open lakehouse architecture are designed to connect cleanly with governance and BI tools across a broader stack.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/google-cloud-bigquery/reviews"><strong>Google Cloud BigQuery</strong></a><strong>:</strong> A standard warehouse target for dbt models, with broad ecosystem support for connecting downstream BI tools.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/alteryx/reviews"><strong>Alteryx</strong></a><strong>:</strong> Seamless integration with Databricks, Snowflake, AWS, Google, and Salesforce is a named strength, positioned as connective tissue across a broader stack.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/qubole/reviews"><strong>Qubole</strong></a><strong>:</strong> Provides end-to-end data lake services, though specific dbt or Looker integration depth isn't called out as prominently as the others here.</li>
</ul><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For teams running dbt on top of one of these, did the integration actually work cleanly out of the box, or did you end up writing custom adapters?</p>

##### Post Metadata
- Posted at: 3 days ago
- Author title: Writer
- Net upvotes: 1


## Comments
### Comment 1

&lt;p&gt;I’d expect the standard dbt integrations to work cleanly with Snowflake, Databricks, or BigQuery, but I’d still test the full workflow rather than the connector alone. The real integration test is whether dbt models, permissions, lineage, and downstream Looker explores stay consistent as schemas change. If every model change creates manual cleanup in BI, the stack isn’t as seamless as the connector list suggests.&lt;/p&gt;

##### Comment Metadata
- Posted at: 3 days ago





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