Two-way sync
Changes in JobBOSS² or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep JobBOSS² 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.
ERP data sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Quotes / Estimates, Jobs / Work Orders, Routings & Operations, Materials & Inventory from JobBOSS² into MongoDB and keeps both sides consistent in real time. Whatever JobBOSS² is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in MongoDB sync back into JobBOSS² with its validations respected.
Records from JobBOSS² live in MongoDB as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the JobBOSS² interface, limits, and retries.
Updates in JobBOSS² arrive as row changes in MongoDB, so jobs and triggers can respond as the business record changes.
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.
| JobBOSS² objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Jobs / Work Orders Job records carry production status back to sales and customer-facing tools. | Views Read-only aggregation-defined sources for filtered sync datasets. | Jobs / Work Orders is specific to JobBOSS² and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Routings & Operations Operation steps support scheduling and costing data in external reporting. | Change streams The oplog-backed event feed that powers real-time change capture. | Routings & Operations is specific to JobBOSS² and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Materials & Inventory Material and stock data feed purchasing and availability checks. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Materials & Inventory is specific to JobBOSS² and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Purchase Orders PO data syncs outward for spend and receiving visibility. | Databases Logical groupings of collections that scope a sync connection. | Purchase Orders is specific to JobBOSS² and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Vendors Vendor records keep procurement and accounting tools consistent. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Vendors is specific to JobBOSS² and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Time Entries Shop-floor time data consolidates into costing and payroll reporting. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Time Entries is specific to JobBOSS² and Documents 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.
DetectionStacksync polls JobBOSS² for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
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 JobBOSS² through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every JobBOSS²–MongoDB connection.
Changes in JobBOSS² or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever JobBOSS² 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 JobBOSS² or MongoDB record.
Track your JobBOSS² ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between JobBOSS² 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 JobBOSS² 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 JobBOSS² 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 JobBOSS² and MongoDB: authenticate both systems, choose the objects to sync (such as JobBOSS²'s Jobs / Work Orders and Routings & Operations), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means JobBOSS² and MongoDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed JobBOSS² and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom JobBOSS²–MongoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both JobBOSS² and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on JobBOSS²: Polling. 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 MongoDB side: Indexes, Views, Change streams, GridFS files, plus custom fields where MongoDB exposes them. On the JobBOSS² side: Quotes / Estimates, Jobs / Work Orders, Routings & Operations, Materials & Inventory. Stacksync auto-detects both schemas and converts types between the two systems.
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 294 integrations available for JobBOSS² and MongoDB.