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Docs →
How do queries work on Firestore Enterprise? →
In our previous video, we looked at why Firestore Standard edition is so fast. But what happens when you need to sort by a value that isn't stored in a field? Or when you need to count occurrences across an entire collection?
In this second part of our query explainer series, we go "under the hood" of the Firestore query engine. Morgan Chen, a Developer Relation Engineer, shows you how to use the pipelines API to perform logical transformations, unnest arrays, and run complex aggregations—all in a single query.
Chapters:
0:00 - Recap: Standard vs. Enterprise edition
0:33 - What are pipeline operations?
1:19 - Flexible query resolution strategies
2:08 - Deep dive
2:47 - Virtual fields & unnesting explained
3:47 - Transformation stages & the aggregate function
4:17 - The Responsibility of power: Scaling & performance
5:06 - Cost benefits: Lower storage & faster writes
5:23 - What’s Next?
#Firebase #GoogleCloud #BackendDevelopment #Firestore
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Speaker: Morgan Chen
Products Mentioned: Firebase, Firestore Enterprise
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2026/05/07
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