Two-way sync
Changes in Jumpcloud or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Keep Jumpcloud and MotherDuck in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Jumpcloud is the record of who exists and what they can reach; MotherDuck is where the business measures everything else. The two overlap on people and their access — the same users, groups, roles, and events that Jumpcloud governs are what security, compliance, and analytics teams want to query in MotherDuck. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Directory Insights events, System Users (Users), User Groups, Systems (devices) from Jumpcloud into tables in MotherDuck in real time, and the connection works in both directions: values computed in MotherDuck, such as risk scores or access-review decisions, can be written back to attributes in Jumpcloud where the identity team acts on them. Schema changes are handled, API limits are managed, and the sync is something you configure rather than a pipeline you keep alive.
Join Jumpcloud's users and group memberships with HR, product, and usage data already in MotherDuck to surface who holds access they no longer need.
A continuously synced copy in MotherDuck gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
Risk scores, anomaly flags, or access-review outcomes computed in MotherDuck write back to attributes on the matching user in Jumpcloud, where the identity team can act on them.
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.
| Jumpcloud objects | MotherDuck objects | How this pairing syncs | |
|---|---|---|---|
| User Groups User groups that grant app, LDAP, and RADIUS access; created, updated, and deleted via v2 /usergroups, with membership managed through the graph association endpoints. | Tables The main landing target for synced records and source for analysis. | User Groups is specific to Jumpcloud and Tables to MotherDuck — each maps to any object or custom field on the other side. | |
| Systems (devices) Enrolled macOS, Windows, and Linux machines running the JumpCloud agent; agent-enrolled, so the API reads, updates, and deletes systems for inventory and management rather than creating them. | Views Modeled projections used as outbound sync sources. | Systems (devices) is specific to Jumpcloud and Views to MotherDuck — each maps to any object or custom field on the other side. | |
| System Groups Device groups used to scope policies, commands, and access; full CRUD via v2 /systemgroups, with systems bound and unbound through association endpoints. | Database Shares Read-only copies of a database shared with other users or teams. | System Groups is specific to Jumpcloud and Database Shares to MotherDuck — each maps to any object or custom field on the other side. | |
| Applications (SSO) SAML and OIDC SSO app configs; read via v2 /applications and their user/group assignments created and removed to control who can reach each connected app. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | Applications (SSO) is specific to Jumpcloud and Attached Local DuckDB Databases to MotherDuck — each maps to any object or custom field on the other side. | |
| Policies Device configuration and MDM policies; read, created from templates, and updated via v2 /policies, then bound to systems and system groups to enforce settings across the fleet. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | Policies is specific to Jumpcloud and Databases to MotherDuck — each maps to any object or custom field on the other side. | |
| Commands Scripts and commands run on managed systems; full CRUD via v1 /commands, then triggered on target systems and groups for automation and remediation. | Schemas Namespaces within a database used to organize synced tables. | Commands is specific to Jumpcloud and Schemas to MotherDuck — 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.
DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.
DeliveryEach detected change is applied to MotherDuck as a row-level write, with types converted between the two schemas.
DetectionStacksync polls MotherDuck for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jumpcloud–MotherDuck connection.
Changes in Jumpcloud or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jumpcloud or MotherDuck data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jumpcloud or MotherDuck record.
Track your Jumpcloud ⇄ MotherDuck sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jumpcloud and MotherDuck.
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 Jumpcloud and MotherDuck 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 Jumpcloud and MotherDuck 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 Jumpcloud and MotherDuck: authenticate both systems, choose the objects to sync (such as Jumpcloud's User Groups and Systems (devices)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Jumpcloud and MotherDuck: Access governance on joined data; Queryable history for audit and compliance; Risk and review results back on the account. Join Jumpcloud's users and group memberships with HR, product, and usage data already in MotherDuck to surface who holds access they no longer need.
Jumpcloud: JumpCloud REST API - v1 (console.jumpcloud.com/api) for Systems, System Users, and Commands; v2 (/api/v2) for User Groups, System Groups, Applications, Policies, and resource associations; plus the Directory Insights API (api.jumpcloud.com/insights/directory/v1/events) and Webhook Channels for outbound events. Authentication: Admin API key sent in the x-api-key header (keys are prefixed jca_, generated in the console with a 30-365 day expiry, and disabled for admins by default until enabled); an x-org-id header scopes calls to a single organization for MSP multi-tenant admins. System Context authorization (HMAC-signed) also exists for agent-run calls. MotherDuck: SQL through DuckDB clients and drivers using a MotherDuck (md:) connection. Authentication: Access token created in MotherDuck (Settings > General > Create Token), pasted into Stacksync; database name and schema configurable if not using defaults. Stacksync manages authentication, retries, and rate limits on both sides.
MotherDuck: Hybrid execution can split a query between the local DuckDB process and cloud compute. Jumpcloud: JumpCloud rate-limits requests and returns HTTP 429 when they arrive too fast, with no published numeric ceiling; webhook deliveries are retried three times with exponential backoff on 5xx, 408, or 429 responses. Stacksync's field mapping accounts for these differences between Jumpcloud and MotherDuck without custom code.
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 Jumpcloud and MotherDuck records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jumpcloud and MotherDuck connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jumpcloud–MotherDuck integration in-house.
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 447 integrations available for Jumpcloud and MotherDuck.