Welcome to Fireconduit
Backfill your Firestore data to BigQuery with ease
Fireconduit is a SaaS platform that makes it easy to backfill your Firestore data to BigQuery. Whether you need to sync historical data for analytics, create data warehousing pipelines, or integrate with the official Firebase BigQuery Extension schema, Fireconduit handles the complexity for you.
Built on Google Cloud Dataflow, Fireconduit provides a reliable, scalable way to move your Firestore documents to BigQuery tables without writing any code.
Key Features
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Visual Pipeline Builder — Create pipelines through an intuitive wizard interface. Configure your source collection, destination table, and schema mapping in minutes.
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Flexible Schema Mapping — Map Firestore document fields to BigQuery columns with support for nested objects, arrays, and all BigQuery data types.
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Firebase Extension Compatible — Use the official Firebase BigQuery Extension schema template for seamless compatibility with existing setups.
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Manual or Scheduled Triggers — Run backfills on-demand or set up recurring schedules to keep your data in sync.
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Job Monitoring — Track backfill progress in real-time with detailed job status, document counts, and error reporting.
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Templates — Save and reuse pipeline configurations with system templates or create your own organization templates.
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Runs in Your GCP — Dataflow jobs execute directly in your GCP project, giving you full control over data residency, network configuration, and costs.
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CLI Tools — Generate schema configurations from your Firestore collections and automate setup with the Fireconduit CLI.
Quick Links
- Getting Started — Set up your first pipeline
- Connect Your GCP Project — Enable Fireconduit to run backfill jobs
- CLI Reference — Command-line tools for setup and schema generation
- Schema Mapping — Configure how your data is transformed
- Backfill Jobs — Run and monitor backfill jobs