# Which Big Data Integration Platforms offer the easiest integration with ETL tools like Airflow and Python-based workflows?

<p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">I'm researching which Big Data Integration Platforms actually integrate cleanly with ETL tools like Airflow and Python-based workflows, rather than requiring a workaround to connect the two. Inside <a class="a a--md" elv="true" href="https://www.g2.com/categories/big-data-integration-platforms">Big Data Integration Platforms</a>, <strong>Workato</strong>, <strong>Skyvia</strong>, and <strong>SnapLogic Agentic Integration and Applied AI Platform</strong> stand out for this kind of compatibility.</p><ol>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/workato/reviews"><strong>Workato</strong></a>: offers flexible API and webhook based connections that fit naturally alongside Python-based orchestration tools like Airflow.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/skyvia/reviews"><strong>Skyvia</strong></a>: known for straightforward API access that plugs into existing ETL pipelines without much extra configuration work.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/snaplogic-agentic-integration-and-applied-ai-platform/reviews"><strong>SnapLogic Agentic Integration and Applied AI Platform</strong></a>: built to sit alongside custom ETL code, with connectors designed to hand off to Python-based transformation steps cleanly.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/alteryx/reviews"><strong>Alteryx</strong></a>: supports integration with Python workflows for teams that want to combine its visual tools with custom scripting.</li>
<li>
<a class="a a--md" elv="true" href="https://www.g2.com/products/qubole/reviews"><strong>Qubole</strong></a>: built on open big data engines, which tends to make it more compatible with Airflow-style orchestration than more closed platforms.</li>
</ol><p class="elv-tracking-normal elv-text-default elv-font-figtree elv-text-base elv-leading-base elv-font-normal" elv="true">For data engineers running Airflow or Python-based ETL alongside one of these platforms, how much glue code did you still end up writing to make the two sides talk cleanly?</p>

##### Post Metadata
- Posted at: 18 days ago
- Net upvotes: 1


## Comments
### Comment 1

The amount of glue code is probably the clearest indicator here. A platform may advertise Python or Airflow compatibility, but if engineers still have to maintain custom connectors, schema handling, and retry logic, the integration is not as lightweight as it sounds.

##### Comment Metadata
- Posted at: 7 days ago
- Author title: Marketer





## Related discussions
- [How well does Trello scale into a larger team?](https://www.g2.com/discussions/1-how-well-does-trello-scale-into-a-larger-team)
  - Posted at: over 13 years ago
  - Comments: 6
- [Can we please add a new section](https://www.g2.com/discussions/2-can-we-please-add-a-new-section)
  - Posted at: over 13 years ago
  - Comments: 0
- [Quantifiable benefits from implementing your CRM](https://www.g2.com/discussions/quantifiable-benefits-from-implementing-your-crm)
  - Posted at: over 13 years ago
  - Comments: 4