Two-way sync
Changes in Campfire or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Campfire and MongoDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Teams sync Campfire with MongoDB to make accounting data available to application services in document form. Campfire Invoices, Bills, and Bank Transactions map to MongoDB Documents and Collections, so product teams can read billing state, and writes to those Documents flow back to Campfire.
Stacksync mirrors Fixed Asset Class, Bill, Debit Memo, Invoice from Campfire into GridFS files, Databases, Collections, Documents in MongoDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Campfire, so the tool and the database never disagree.
Campfire Invoices and Credit Memos replicate as MongoDB Documents that services query directly.
changes to Invoice Documents in a MongoDB Collection sync back into Campfire.
Campfire Bank Transactions land in a dedicated Collection with Indexes tuned for lookup by account.
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.
| Campfire objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Bank Transaction Synced with incremental and full sync per the Stacksync docs. | Indexes Keep lookups by sync key fast on large collections. | Bank Transaction is specific to Campfire and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Journal Entry Synced with incremental and full sync per the Stacksync docs. | Views Read-only aggregation-defined sources for filtered sync datasets. | Journal Entry is specific to Campfire and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Intercompany Journal Entry Synced with incremental and full sync per the Stacksync docs. | Change streams The oplog-backed event feed that powers real-time change capture. | Intercompany Journal Entry is specific to Campfire and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Chart of Accounts Synced with incremental and full sync per the Stacksync docs. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Chart of Accounts is specific to Campfire and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Chart Transaction Synced with incremental and full sync per the Stacksync docs. | Databases Logical groupings of collections that scope a sync connection. | Chart Transaction is specific to Campfire and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Fixed Asset Synced with incremental and full sync per the Stacksync docs. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Fixed Asset is specific to Campfire and Collections to MongoDB — each maps to any object or custom field on the other side. |
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.
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 MongoDB as a row-level write, with types converted between the two schemas.
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryEach detected change is written to Campfire through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Campfire–MongoDB connection.
Changes in Campfire or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Campfire or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Campfire or MongoDB record.
Track your Campfire ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Campfire and MongoDB.
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 Campfire and MongoDB 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 Campfire and MongoDB 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 Campfire and MongoDB: authenticate both systems, choose the objects to sync (such as Campfire's Bank Transaction and Journal Entry), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Campfire: Near real-time updates via change tracking (incremental sync); delete detection per object (some objects detected every 24h). On MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Campfire side: Fixed Asset Class, Bill, Debit Memo, Invoice, plus custom fields where Campfire exposes them. On the MongoDB side: GridFS files, Databases, Collections, Documents. 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 Campfire and MongoDB: Billing documents for apps; Write-back from product; Transaction feed. Campfire Invoices and Credit Memos replicate as MongoDB Documents that services query directly.
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. MongoDB: MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management. Authentication: Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required. 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 390 integrations available for Campfire and MongoDB.