Two-way sync
Changes in MongoDB or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Keep MongoDB and ServiceNow in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Engineers integrate with tools like ServiceNow through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in MongoDB.
Stacksync mirrors Custom Tables, Incidents, Change Requests, Problems from ServiceNow into Embedded documents and arrays, Indexes, Views, Change streams 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 ServiceNow, so the tool and the database never disagree.
Write to the synced tables in MongoDB and Stacksync propagates the change into ServiceNow, replacing custom integration code.
Updates in ServiceNow arrive as row changes in MongoDB, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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.
| MongoDB objects | ServiceNow objects | How this pairing syncs | |
|---|---|---|---|
| Change streams The oplog-backed event feed that powers real-time change capture. | Tasks The base task table that incidents, changes, and requests extend. | Change streams is specific to MongoDB and Tasks to ServiceNow — each maps to any object or custom field on the other side. | |
| GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Knowledge Articles Support content that can be mirrored to help centers or search indexes. | GridFS files is specific to MongoDB and Knowledge Articles to ServiceNow — each maps to any object or custom field on the other side. | |
| Databases Logical groupings of collections that scope a sync connection. | Custom Tables Scoped or u_-prefixed tables are addressable through the same Table API as standard ones. | Databases is specific to MongoDB and Custom Tables to ServiceNow — each maps to any object or custom field on the other side. | |
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Incidents The core ITSM ticket; commonly synced with engineering trackers and CRMs. | Collections is specific to MongoDB and Incidents to ServiceNow — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Change Requests Track planned changes; synced to deployment and release tooling. | Documents is specific to MongoDB and Change Requests to ServiceNow — each maps to any object or custom field on the other side. | |
| Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Problems Root-cause records linked to incidents, useful in cross-system reporting. | Embedded documents and arrays is specific to MongoDB and Problems to ServiceNow — 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.
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 ServiceNow through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls ServiceNow for changes on an incremental schedule, reading only records changed since the previous pass. Polling on sys_updated_on timestamps.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MongoDB–ServiceNow connection.
Changes in MongoDB or ServiceNow instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MongoDB or ServiceNow data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single MongoDB or ServiceNow record.
Track your MongoDB ⇄ ServiceNow sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MongoDB and ServiceNow.
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 MongoDB and ServiceNow 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 MongoDB and ServiceNow 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 MongoDB and ServiceNow: authenticate both systems, choose the objects to sync (such as MongoDB's Change streams and GridFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both MongoDB and ServiceNow. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection 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. On ServiceNow: Polling on sys_updated_on timestamps; instance admins can configure outbound push through business rules or Flow Designer. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the ServiceNow side: Custom Tables, Incidents, Change Requests, Problems, plus custom fields where ServiceNow exposes them. On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams. 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 MongoDB and ServiceNow: Automate ServiceNow from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in MongoDB and Stacksync propagates the change into ServiceNow, replacing custom integration code.
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 519 integrations available for MongoDB and ServiceNow.