Two-way sync
Changes in Ldap or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Ldap 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.
MongoDB is where your application's durable data lives; Ldap is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Collections, Documents, Embedded documents and arrays, Indexes in MongoDB with Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup) in Ldap field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set, so the database and the tooling around it never drift apart.
Updates in Ldap arrive as row changes in MongoDB, and writes to MongoDB propagate to Ldap within seconds, so triggers, jobs, and alerts fire without polling.
Directory and identity records in Ldap stay matched to the users or owners table in MongoDB, so provisioning and de-provisioning flow from one source.
A new or changed row in MongoDB creates or updates the matching record in Ldap, whether that is an issue, an event, a message, or a user, so the tool reflects the database without a custom API job.
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.
| Ldap objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Schema (subschema subentry) The objectClass and attribute-type definitions the server exposes; read to validate that written attributes exist and are single- or multi-valued as expected. | Views Read-only aggregation-defined sources for filtered sync datasets. | Schema (subschema subentry) is specific to Ldap and Views to MongoDB — each maps to any object or custom field on the other side. | |
| Entries The fundamental unit of an LDAP directory, each addressed by a distinguished name (DN) and typed by its objectClass; synced two-way as records, with the DN driving upserts and attribute-level updates. | Change streams The oplog-backed event feed that powers real-time change capture. | Entries is specific to Ldap and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Person entries (inetOrgPerson / user) People held under objectClasses such as inetOrgPerson, person, or Active Directory user; synced two-way to create accounts and update attributes like mail, cn, and telephoneNumber. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Person entries (inetOrgPerson / user) is specific to Ldap and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Groups (groupOfNames / posixGroup) Group entries whose member or uniqueMember attributes list DNs; synced two-way to add and remove membership as teams and entitlements change. | Databases Logical groupings of collections that scope a sync connection. | Groups (groupOfNames / posixGroup) is specific to Ldap and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Organizational units (ou) Container entries that structure the DIT and scope which subtree a sync reads or writes; used to limit a sync to a branch such as ou=People,dc=corp,dc=com. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Organizational units (ou) is specific to Ldap and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Attributes The typed name/value pairs on each entry (cn, mail, memberOf, objectClass); the schema defines which attributes each objectClass allows, and mappings are built per attribute. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Attributes is specific to Ldap 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 Ldap for changes on an incremental schedule, reading only records changed since the previous pass. No universal native change feed.
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 Ldap through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Ldap–MongoDB connection.
Changes in Ldap or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Ldap 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 Ldap or MongoDB record.
Track your Ldap ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Ldap 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 Ldap 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 Ldap 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 Ldap and MongoDB: authenticate both systems, choose the objects to sync (such as Ldap's Schema (subschema subentry) and Entries), 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 Ldap and MongoDB records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Ldap and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Ldap–MongoDB integration in-house.
Yes — Stacksync ships production-grade connectors for both Ldap and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Ldap: No universal native change feed. Incremental sync polls the modifyTimestamp operational attribute (or entryCSN / uSNChanged on servers that expose them) for entries changed since the last cursor; detecting deletes needs a server changelog or tombstones because a plain search cannot see removed entries. Some servers add Persistent Search or RFC 4533 content-sync (syncrepl), but that support is server-specific. No webhooks. 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: Collections, Documents, Embedded documents and arrays, Indexes, plus custom fields where MongoDB exposes them. On the Ldap side: Schema (subschema subentry), Entries, Person entries (inetOrgPerson / user), Groups (groupOfNames / posixGroup). 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 419 integrations available for Ldap and MongoDB.