As you develop your app with Cloud Firestore, you might want to go beyond the basics discussed in the manage and query data sections. The solutions outlined in this section offer guidance on more advanced use cases.
Integrate with BigQuery
Summary: Use Firebase Extensions to integrate data in Cloud Firestore with BigQuery
Use case: If you need to analyze large amounts of data, you can use BigQuery.
See the solution for BigQuery extensions
Implement an AI-driven chatbot
Summary: Use Firebase Extensions to add an AI-driven chatbot to your app.
Use case: You can use chatbots to improve customer service, market a new feature or service, provide sales quotes, or any number of use cases. Get started by using these extensions.
See the solution for AI chatbot extensions
Enrich handling of text
Summary: Use Firebase Extensions to mine and analyze text data.
Use case: If you need to summarize text, detect toxic speech, translate text, or transcribe audio, use these extensions.
See the solution for text handling extensions
Enrich value of media
Summary: Use Firebase Extensions to mine and analyze media streams.
Use case: If you need to classify images, convert speech to text, or perform optical character recognition (OCR), use these extensions.
See the solution for media processing extensions
Firestore Lite, the streamlined REST-only Firestore Web SDK
Summary: Build smaller Web apps with faster load times when offline cache isn't important and you only need online access to your database.
Use case: If your app doesn't need to manage offline users, import
@firebase\firestore-lite. Then, code features that make use of the Firestore
backend.
See the solution for Firestore Lite
Aggregation queries
Summary: Build an aggregate of your data in Cloud Firestore using transactions and Cloud Functions.
Use case: To query your data across collections, build an aggregate, then run the query. For example, in a recommendations app, you might want to retrieve all the information for a particular restaurant from different collections.
See the solution for aggregation queries
Distributed counters
Summary: Distribute updates across "counter" subcollections to update a document more frequently than Cloud Firestore currently supports.
Use case: Use this solution to add "counters" to your app (for example, to represent upvotes), and update the corresponding document at a high frequency. Cloud Firestore supports 2 writes/second on each document.
See the solution for distributed counters
Full-text search
Summary: Search for text contained in your Cloud Firestore documents.
Use case: Users might want to search your app content, including text contained in individual fields across your documents and collections. Use this solution to enable full-text search.
See the solution for full-text search
Build presence
Summary: Add a presence system that identifies whether or not a user is actively connected.
Use case: Use this solution to identify users that are actively connected to your app. For example, in a chat app, you might use a presence system to populate a list of users that are online.
See the solution for building presence
Secure data access for users and groups
Summary: Write security rules to control access to individual documents based on user roles.
Use case: Use this solution to build collaborative apps while minimizing the risk of improper data access.
See the solution for secure data access
Schedule data exports
Summary: Use the App Engine Cron Service to schedule exports of your data.
Use case: Use this solution to run export operations on a schedule.
See the solution for scheduling exports