Backfill Firestore to BigQuery.
On demand.
Sync your existing Firestore data to BigQuery with one click. Runs entirely in your GCP project.
Documents Synced
12.1M
+12.3%
Backfill Jobs
2,847
+8.1%
Success Rate
99.8%
+0.2%
Sync Activity
Your Pipelines
2 activeusers
Daily→ analytics.users_raw
8.4M
documents
orders
Manual→ warehouse.orders
3.7M
documents
New Pipeline
Blank
Start from scratch
From Template
Firebase → BigQuery
Templates
Firebase → BQ
Incremental Sync
Full Refresh
Firebase → BigQuery
DefaultSync Firestore collections to BigQuery with automatic schema detection.
Recent Jobs
Last 24husers
Dailycompleted
1.2M
12m 34s
orders
Manualrunning
847K
4m 12s
Summary
Backfills Without Compromise
Production-ready backfills that meet your compliance requirements.
Data never leaves your project
Fireconduit runs jobs in your GCP project. Your Firestore data flows directly to your BigQuery dataset. We never see or store your data.
One-click backfills
No pipeline code to maintain. Select a collection, pick a destination, click backfill. Monitor progress from the dashboard.
Full job visibility
Track documents processed, bytes transferred, and job duration. View logs and errors. Get notified when jobs complete or fail.
Works with your existing setup
Backfill to your existing BigQuery tables and schema. Complements your current Firestore → BigQuery sync workflow.
Predictable pricing
Simple flat-rate pricing. No per-row charges, no surprise bills. You pay GCP directly for compute.
VPC Service Controls (Enterprise)
Running in a locked-down environment? Fireconduit works with VPC-SC perimeters. All data movement happens inside your security boundary.
How It Works
From zero to backfill in under 10 minutes
Connect your GCP project
Run our Terraform module to deploy a secure Pub/Sub-triggered Cloud Function. This lets us run Fireconduit pipelines in your project.
Configure a pipeline
Select your Firestore collection and BigQuery destination. Choose your schema format and sync settings.
Run a backfill
Click "Run Backfill". We launch and monitor the job in your project. Track progress, metrics, and errors from your dashboard.
Why Fireconduit
| Fireconduit | Third-party ETL | DIY | |
|---|---|---|---|
| Backfill support | ✓ | ✓ | ✓ |
| Data stays in your GCP | ✓ | ✗ | ✓ |
| VPC-SC compatible | ✓ | ✗ | ✓ |
| No per-row pricing | ✓ | ✗ | ✓ |
| Setup time | 10 mins | 30 mins | Hours |
| Maintenance | None | None | You |
Built for Regulated Environments
Fireconduit is designed for teams with strict data residency and compliance requirements.
Your data, your project
We orchestrate jobs, but your data flows directly from Firestore to BigQuery within your GCP project. Fireconduit never sees your application data.
No credentials stored
Your service account stays in your project. We trigger jobs via secure Pub/Sub messaging - we never handle your GCP credentials.
VPC Service Controls (Enterprise)
Works inside VPC-SC perimeters. All data movement stays within your security boundary.
Audit-friendly
All job executions logged with timestamps, user attribution, and job IDs for your compliance records.
Want Early Access?
We're onboarding select teams during our alpha period.
Get a personalized walkthrough and early access pricing
- Personalized onboarding
- Priority support during alpha
- Special early adopter pricing