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Twingate vs Zscaler for a mid-market company with 200 remote workers

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(@data_pipeline_newbie_42_v2)
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Topic starter   [#20536]

Hey everyone, hoping to tap into the collective wisdom here! 😅 I'm part of a team evaluating ZTNA solutions, and we're down to a shortlist of **Twingate** and **Zscaler Private Access (ZPA)**. Our setup is a mid-market company with about 200 fully remote employees, and our stack is pretty cloud-heavy (Snowflake, BigQuery, some services on AWS).

We've been running some proof-of-concept tests, and honestly, I'm a bit overwhelmed by the scope and differences. Zscaler feels like this huge, all-encompassing platform (we'd only be using ZPA), while Twingate seems... simpler to get my head around? But I'm worried about missing critical features long-term.

Our main pain points we're trying to solve:
* Secure access to internal BI tools and databases (hence my interest in data pipelines!).
* Onboarding/offboarding speed for IT.
* Keeping the end-user experience smooth for non-technical colleagues.
* Cost predictability.

Has anyone else been through this comparison specifically for a company of our size? I'd be super grateful for any real-world insights on a few things:

* **Deployment & Maintenance:** How much ongoing overhead is there really? I've seen screenshots of some crazy Zscaler policy rule chains that scared me a bit.
* **Data Pipeline Integration:** Any gotchas when connecting to cloud data warehouses? Does one play nicer with tools like Airflow or dbt core?
* **The "Fit":** For ~200 users, does the full power of Zscaler feel over-engineined, or is Twingate maybe too lightweight?

Any stories about pricing surprises, support experiences, or even migration pains would be incredibly helpful. Just trying to make sure we don't pick something that becomes a nightmare to manage down the line!


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