Two-way sync
Changes in Jumpcloud or Materialize instantly reflect in both systems. No stale data, no manual imports.
Keep Jumpcloud and Materialize 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; Materialize 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 Materialize. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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 Materialize in real time, and the connection works in both directions: values computed in Materialize, 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 Materialize to surface who holds access they no longer need.
A continuously synced copy in Materialize 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 Materialize 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 | Materialize 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. | Indexes In-memory arrangements that make view reads fast for serving workloads. | User Groups is specific to Jumpcloud and Indexes to Materialize — 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. | Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Systems (devices) is specific to Jumpcloud and Clusters to Materialize — 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. | Connections & Secrets Stored credentials and endpoints used by sources and sinks. | System Groups is specific to Jumpcloud and Connections & Secrets to Materialize — 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. | Schemas & Databases Namespaces that organize objects a sync targets. | Applications (SSO) is specific to Jumpcloud and Schemas & Databases to Materialize — 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. | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Policies is specific to Jumpcloud and Tables to Materialize — 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. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Commands is specific to Jumpcloud and Sources to Materialize — 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 Materialize as a row-level write, with types converted between the two schemas.
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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–Materialize connection.
Changes in Jumpcloud or Materialize instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jumpcloud or Materialize 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 Materialize record.
Track your Jumpcloud ⇄ Materialize sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jumpcloud and Materialize.
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 Materialize 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 Materialize 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 Materialize: 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 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 Materialize records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Jumpcloud and Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Jumpcloud–Materialize integration in-house.
Yes — Stacksync ships production-grade connectors for both Jumpcloud and Materialize. 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 Materialize: SUBSCRIBE queries stream row-level changes of any view or table to the client. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Materialize side: Indexes, Clusters, Connections & Secrets, Schemas & Databases, plus custom fields where Materialize exposes them. On the Jumpcloud side: Directory Insights events, System Users (Users), User Groups, Systems (devices). 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 435 integrations available for Jumpcloud and Materialize.