Two-way sync
Changes in Jumpcloud or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Keep Jumpcloud and StarRocks 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; StarRocks 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 StarRocks. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.
Stacksync syncs Applications (SSO), Policies, Commands, Directory Insights events from Jumpcloud into tables in StarRocks in real time, and the connection works in both directions: values computed in StarRocks, 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 StarRocks to surface who holds access they no longer need.
A continuously synced copy in StarRocks 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 StarRocks 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 | StarRocks 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. | Partitions Time or range partitions that scope loads and retention. | User Groups is specific to Jumpcloud and Partitions to StarRocks — 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. | Columns Columnar storage with types mapped from source systems during sync. | Systems (devices) is specific to Jumpcloud and Columns to StarRocks — 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. | Databases Top-level namespaces addressed exactly as in MySQL clients. | System Groups is specific to Jumpcloud and Databases to StarRocks — 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. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | Applications (SSO) is specific to Jumpcloud and Tables to StarRocks — 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. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Policies is specific to Jumpcloud and Materialized views to StarRocks — 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. | Views Logical views for shaping analytical reads. | Commands is specific to Jumpcloud and Views to StarRocks — 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 StarRocks as a row-level write, with types converted between the two schemas.
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
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–StarRocks connection.
Changes in Jumpcloud or StarRocks instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jumpcloud or StarRocks 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 StarRocks record.
Track your Jumpcloud ⇄ StarRocks sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jumpcloud and StarRocks.
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 StarRocks 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 StarRocks 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 StarRocks: 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.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jumpcloud and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jumpcloud–StarRocks integration in-house.
Yes — Stacksync ships production-grade connectors for both Jumpcloud and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Jumpcloud: No database-style change log. The Directory Insights API is queried by POST for login and admin events across SSO, LDAP, RADIUS, systems, MDM, and directory services - including the association_change event that records user-to-group and policy-to-device membership changes; Webhook Channels tied to Insights Rules POST JSON to a registered endpoint for near-real-time triggers. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the StarRocks side: Tables, Materialized views, Views, Partitions, plus custom fields where StarRocks exposes them. On the Jumpcloud side: Applications (SSO), Policies, Commands, Directory Insights events. 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.
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 432 integrations available for Jumpcloud and StarRocks.