Two-way sync
Changes in Jumpcloud or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Keep Jumpcloud and Yellowbrick 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; Yellowbrick 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 Yellowbrick. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs User Groups, Systems (devices), System Groups, Applications (SSO) from Jumpcloud into tables in Yellowbrick in real time, and the connection works in both directions: values computed in Yellowbrick, 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 Yellowbrick to surface who holds access they no longer need.
A continuously synced copy in Yellowbrick 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 Yellowbrick 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 | Yellowbrick objects | How this pairing syncs | |
|---|---|---|---|
| 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 Logical views used to shape reads for BI and downstream syncs. | Systems (devices) is specific to Jumpcloud and Views to Yellowbrick — 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. | Users and Roles Access-control objects that govern what a sync service account can read and write. | System Groups is specific to Jumpcloud and Users and Roles to Yellowbrick — 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. | Databases Top-level containers for schemas and tables. | Applications (SSO) is specific to Jumpcloud and Databases to Yellowbrick — 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. | Schemas Namespaces used to organize synced datasets by source or domain. | Policies is specific to Jumpcloud and Schemas to Yellowbrick — 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. | Tables Columnar MPP tables; the primary targets for warehouse syncs. | Commands is specific to Jumpcloud and Tables to Yellowbrick — 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 Yellowbrick as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Yellowbrick for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp columns.
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–Yellowbrick connection.
Changes in Jumpcloud or Yellowbrick instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jumpcloud or Yellowbrick 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 Yellowbrick record.
Track your Jumpcloud ⇄ Yellowbrick sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jumpcloud and Yellowbrick.
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 Yellowbrick 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 Yellowbrick 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 Yellowbrick: authenticate both systems, choose the objects to sync (such as Jumpcloud's Systems (devices) and System Groups), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Yellowbrick side: Users and Roles, Databases, Schemas, Tables, plus custom fields where Yellowbrick exposes them. On the Jumpcloud side: User Groups, Systems (devices), System Groups, Applications (SSO). 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 Jumpcloud and Yellowbrick: 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 Yellowbrick 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. Yellowbrick: SQL wire protocol (PostgreSQL-compatible) with JDBC/ODBC drivers; bulk loading via the ybload utility. Authentication: Database credentials, with LDAP and Kerberos options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Yellowbrick: The engine is a distributed MPP columnar system deployable on-premises and in public clouds. Jumpcloud: There is no database-style change log; change detection uses the Directory Insights API (POST queries, including the association_change event for user-to-group and policy-to-device changes) and Webhook Channels tied to Insights Rules that POST JSON to a registered endpoint. Stacksync's field mapping accounts for these differences between Jumpcloud and Yellowbrick without custom 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 429 integrations available for Jumpcloud and Yellowbrick.