Skip to content
Data warehouse ⇄ Business productivity

BigQuery to Campfire integration — real-time, two-way sync

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.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect BigQuery and Campfire

Get the data locked inside Campfire into BigQuery as live tables, and send results back where Campfire can use them, without writing a pipeline.

Connecting Campfire to BigQuery brings accounting records into the analytics warehouse. Campfire Invoices, Bills, and Bank Transactions replicate into BigQuery Datasets and Tables, so finance and data teams analyze cash flow with the same tooling as the rest of the business.

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.

Common use cases

  • 01 Join Campfire Invoices to marketing and product data already in BigQuery Projects for margin analysis.
  • 02 Reconcile Bank Transactions against Invoices with SQL in BigQuery instead of manual exports.
  • 03 Build board reporting on partitioned Tables that stay current with Campfire records.
  • 04 Post alerts into a room when records change in a synced system such as a CRM or an operational database.

Common sync patterns

AR and AP analytics

Campfire Invoice, Bill, and Credit Memo records replicate into BigQuery Tables for revenue and payables reporting.

Cash position reporting

Campfire Bank Account and Bank Transaction records land in partitioned BigQuery Tables for period-over-period analysis.

Adjustment tracking

Campfire Debit Memo and Credit Memo records sync to a BigQuery Dataset for audit review.

What you can sync between BigQuery and Campfire

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 How this pairing syncs
Projects Connection scope: the service account grants access per project. Bank Transaction Synced with incremental and full sync per the Stacksync docs. Projects is specific to BigQuery and Bank Transaction to Campfire — each maps to any object or custom field on the other side.
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. Tables is specific to BigQuery and Journal Entry to Campfire — each maps to any object or custom field on the other side.
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. Partitioned tables is specific to BigQuery and Intercompany Journal Entry to Campfire — each maps to any object or custom field on the other side.
Clustered tables Supported; clustering is transparent to the sync. Chart of Accounts Synced with incremental and full sync per the Stacksync docs. Clustered tables is specific to BigQuery and Chart of Accounts to Campfire — each maps to any object or custom field on the other side.
Datasets Organizational container — you pick which dataset’s tables to sync. Chart Transaction Synced with incremental and full sync per the Stacksync docs. Datasets is specific to BigQuery and Chart Transaction to Campfire — each maps to any object or custom field on the other side.

How changes propagate between BigQuery and Campfire

Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.

BigQuery Campfire Sub-second propagation

DetectionChanges in BigQuery are captured at the source via change data capture — no polling loop against its API. Real-time notification service deployed into your Google Cloud project: Eventarc ("a notification service that enables real-time updates to happen").

DeliveryEach detected change is written to Campfire through its API, with automatic retries and rate-limit backoff.

Campfire BigQuery Sub-second propagation

DetectionCampfire pushes changes as they happen — webhook events backed by change data capture. Near real-time updates via change tracking (incremental sync).

DeliveryEach detected change is applied to BigQuery as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • BigQuery: Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes.
  • Campfire: Limits depend on the self-hosted deployment; confirm against the instance's documentation.
What ships with BigQuery ⇄ Campfire

Connect BigQuery and Campfire for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BigQuery–Campfire connection.

Real-time

Two-way sync

Changes in BigQuery or Campfire instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever BigQuery or Campfire data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single BigQuery or Campfire record.

Observability

Monitoring

Track your BigQuery ⇄ Campfire sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between BigQuery and Campfire.

How the BigQuery and Campfire connectors work

BigQuery

Integration surface
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
Change detection
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
Capabilities
read · write · CDC
Rate limits
Subject to Google Cloud quotas on queries, DML, and streaming; DML is supported but the platform favors append-heavy batch and streaming loads over row-at-a-time writes
BigQuery setup guide

Campfire

Integration surface
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
Change detection
Near real-time updates via change tracking (incremental sync); delete detection per object (some objects detected every 24h)
Capabilities
read · write · CDC · webhooks
Rate limits
Limits depend on the self-hosted deployment; confirm against the instance's documentation.
Campfire setup guide
How it works

How to connect BigQuery to Campfire — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    BigQuery connected
    Campfire connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · BigQuery ⇄ Campfire
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    BigQuery Campfire
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

BigQuery and Campfire integration FAQ

SECURITY

Security teams trust Stacksync

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.

Learn more about security
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 528 integrations available for BigQuery and Campfire.

Popular · 7 of 528
All BigQuery integrations All Campfire integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own