Two-way sync
Changes in BigQuery or Campfire instantly reflect in both systems. No stale data, no manual imports.
Keep BigQuery and Campfire in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Whatever Campfire is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Chart Transaction, Fixed Asset, Fixed Asset Class, Bill from Campfire into tables in BigQuery continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in BigQuery can also be written back into fields in Campfire where the tool can use them.
Records and events from Campfire land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Campfire's data with data from every other synced system to answer questions no single tool can.
Segments, scores, or reference values computed in BigQuery sync back onto records in Campfire, putting analysis where the work happens.
Representative objects on each side — any object or custom field can map to any target. Schemas are auto-detected; types are converted between the two systems.
| BigQuery objects | Campfire objects | |
|---|---|---|
| Projects Connection scope: the service account grants access per project. | Bank Transaction Synced with incremental and full sync per the Stacksync docs. | |
| Tables The syncable unit: only tables can be synced per the Stacksync docs. | Journal Entry Synced with incremental and full sync per the Stacksync docs. | |
| Partitioned tables Synced like regular tables; partition columns map to target fields. | Intercompany Journal Entry Synced with incremental and full sync per the Stacksync docs. | |
| Clustered tables Supported; clustering is transparent to the sync. | Chart of Accounts Synced with incremental and full sync per the Stacksync docs. | |
| Datasets Organizational container — you pick which dataset’s tables to sync. | Chart Transaction Synced with incremental and full sync per the Stacksync docs. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Campfire connection.
Changes in BigQuery or Campfire instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BigQuery or Campfire data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BigQuery or Campfire record.
Track your BigQuery ⇄ Campfire sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BigQuery and Campfire.
Configure and sync within minutes, no code. Whether you sync 50k or 100M+ records, Stacksync handles the queues, infra, and plumbing. Integrations are non-invasive and need zero setup on your systems.
Authenticate BigQuery and Campfire with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the BigQuery and Campfire objects to sync — Stacksync auto-detects both schemas, including custom fields where the platform exposes them. Sync to existing tables, or let Stacksync create new ones with ideal data types.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between BigQuery and Campfire: authenticate both systems, choose the objects to sync (such as BigQuery's Projects and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on BigQuery: Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen") with a Cloud Run "secure portal for real-time notification service in. On Campfire: Near real-time updates via change tracking (incremental sync); delete detection per object (some objects detected every 24h). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Campfire side: Chart Transaction, Fixed Asset, Fixed Asset Class, Bill, plus custom fields where Campfire exposes them. On the BigQuery side: Partitioned tables, Clustered tables, Datasets, Projects. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for BigQuery and Campfire: Analytics on Campfire's data; Cross-tool reporting; Where Campfire accepts updates: operational write-back. Records and events from Campfire land in BigQuery as queryable tables, current within seconds and ready to join with the rest of the warehouse.
BigQuery: GoogleSQL via the BigQuery REST API, client libraries, JDBC/ODBC drivers, and the Storage Read/Write APIs. Authentication: Google Cloud service account: create a dedicated service account, grant roles (BigQuery Data Editor, BigQuery Job User, Cloud Functions Service Agent, Cloud Run Developer, Eventarc Event Receiver. Campfire: HTTP endpoints for bot integrations on a self-hosted instance. Authentication: API key — create an API user with a Super User Role in Campfire (Settings -> API Keys), generate an API Key secret, and provide it in the Stacksync connection setup. Stacksync manages authentication, retries, and rate limits on both sides.
As a data company, we understand the importance of keeping your data secure. Stacksync is built with security best practices to keep your data safe at every layer, and is DPF-certified for US, EU, UK and CH data transfers.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 386 integrations available for BigQuery and Campfire.