Two-way sync
Changes in MongoDB or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Keep MongoDB and Onelogin in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Onelogin is the system of record for who people are and what they can reach: users, the groups they belong to, and the applications assigned to them. MongoDB holds the operational data those same people show up in, whether an employee or member table that decides who should have an account at all, a customers list, or the rows an application checks before it authorizes an action. The two describe overlapping users and groups, and when a nightly export or a hand-run script is all that connects them, accounts lag joiners and leavers and the application authorizes against a stale picture of who has access.
Stacksync syncs Embedded documents and arrays, Indexes, Views, Change streams in MongoDB with Authentication factors (MFA), Custom user fields, Users, Roles in Onelogin field by field, in real time, and in both directions. You decide which system owns which fields, with the directory holding credentials and group membership and the database holding the source list of people who should exist at all, and Stacksync keeps every copy consistent, resolving conflicts by rules you set. A person added to a table becomes an account within seconds, a departure disables one just as fast, and the directory's users and groups are always present in your tables as ordinary rows.
When someone is marked inactive or removed in MongoDB, the matching account in Onelogin is disabled within seconds, closing the window between a departure and a login that still works.
Users, groups, and their memberships from Onelogin land in MongoDB as rows your application and queries can join, so authorization checks and access reporting run against the database instead of the directory API.
A group or role change made in either system updates the other, so the entitlements an application enforces match what the directory grants.
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 | Onelogin objects | How this pairing syncs | |
|---|---|---|---|
| Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Mappings (mapping rules) Attribute-driven rules that assign roles and app access; full CRUD via the Mappings API, then reapplied across matching users. | Collections is specific to MongoDB and Mappings (mapping rules) to Onelogin — each maps to any object or custom field on the other side. | |
| Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Events Audit log of every authentication and admin action; read-only, filtered by since/until, and pushed live through the Event Webhook. | Documents is specific to MongoDB and Events to Onelogin — 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. | Authentication factors (MFA) Per-user registered MFA factors; enrolled, verified, and removed through the MFA API for lifecycle and security workflows. | Embedded documents and arrays is specific to MongoDB and Authentication factors (MFA) to Onelogin — each maps to any object or custom field on the other side. | |
| Indexes Keep lookups by sync key fast on large collections. | Custom user fields Account-level custom attributes on the User record; read and written alongside the standard user profile fields. | Indexes is specific to MongoDB and Custom user fields to Onelogin — each maps to any object or custom field on the other side. | |
| Views Read-only aggregation-defined sources for filtered sync datasets. | Users User accounts (email, username, custom attributes, status, roles); full CRUD via the v2 Users API - create, update, delete, set password, lock/unlock, and add or remove role assignments. | Views is specific to MongoDB and Users to Onelogin — each maps to any object or custom field on the other side. | |
| Change streams The oplog-backed event feed that powers real-time change capture. | Roles Roles that bundle app access; created, updated, and deleted via the Roles API, with users, admins, and apps assigned to each role. | Change streams is specific to MongoDB and Roles to Onelogin — 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 Onelogin through its API, with automatic retries and rate-limit backoff.
DetectionOnelogin notifies Stacksync of record changes through webhook events. Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time.
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–Onelogin connection.
Changes in MongoDB or Onelogin instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever MongoDB or Onelogin 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 Onelogin record.
Track your MongoDB ⇄ Onelogin sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between MongoDB and Onelogin.
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 Onelogin 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 Onelogin 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 Onelogin: authenticate both systems, choose the objects to sync (such as MongoDB's Collections and Documents), 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 MongoDB and Onelogin records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MongoDB and Onelogin connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MongoDB–Onelogin integration in-house.
Yes — Stacksync ships production-grade connectors for both MongoDB and Onelogin. 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 Onelogin: Event Webhook (Event Broadcaster) posts batches of Event objects to a registered endpoint in near real time; the Events API also supports polling with since/until time filters and pagination for historical backfill. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the MongoDB side: Embedded documents and arrays, Indexes, Views, Change streams, plus custom fields where MongoDB exposes them. On the Onelogin side: Authentication factors (MFA), Custom user fields, Users, Roles. 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 538 integrations available for MongoDB and Onelogin.