Build your first embedded data product now. Talk to our product experts for a guided demo or get your hands dirty with a free 10-day trial.
September 25, 2025
Originally aired: October 9, 2025
Or want to watch it again? Catch up at your own pace!
In this webinar, our product team shares the exciting updates coming to Luzmo in Q4, and how we’re building the future of embedded analytics around AI-first experiences:
What you'll learn:
Q: Is SSO available? Which providers do you support?
A: Yes, SSO is live. You can configure it in your Organization → SSO settings. We support any provider using the OIDC protocol, so if your provider speaks OIDC, you’re good!
Q: Does SSO cover embedded viewers too?
A: Today it’s for logging into the Luzmo application only (creators/admins), not embedded end-users.
Q: Why add big-data exports? Aren’t they a security risk?
A: Many customers need audits, compliance work, and offline analysis. We built exports with the same security posture as the rest of the product (encryption, access control, token-protected download links), so teams can work safely at scale.
Q: How do large exports work?
A: For very large tables, exports run asynchronously on our side and deliver a secure download link via email. This avoids browser crashes and lets you export millions of rows reliably.
Q: Are exports encrypted and access-controlled?
A: Yes. Data is encrypted, and you need a valid, time-bound token to access the file.
Q: Can I export exactly what I’m looking at (with filters applied)?
A: Yes, exports respect your applied filters and parameters.
Q: What are the export size limits?
A: The async threshold is currently 700,000 cells (rows × columns). Above that, we switch to async. Practical limits depend on the target app (e.g., Excel caps ~1M rows), but Luzmo can export the entire table.
Q: Can the export email be customized?
A: Yes. It uses the same template system as alerts.
Q: Can you push exports to SFTP?
A: Not yet. It’s a feature request we like, please share (and upvote) it via our roadmap page.
Q: What’s the difference between an “agent” and a “workflow”?
A: An agent = one focused task (e.g., “generate a query”).
A workflow = multiple agents + logic to achieve a bigger goal (e.g., “answer this data question”).
Build your first embedded data product now. Talk to our product experts for a guided demo or get your hands dirty with a free 10-day trial.