Two-way sync
Changes in Cloudera Data Platform or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Jumpcloud 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; Cloudera Data Platform 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 Cloudera Data Platform. Getting them there usually means a brittle export that runs overnight and hands auditors a snapshot that is already out of date.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 Cloudera Data Platform in real time, and the connection works in both directions: values computed in Cloudera Data Platform, 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.
Sign-in and access events from Jumpcloud land in Cloudera Data Platform, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Join Jumpcloud's users and group memberships with HR, product, and usage data already in Cloudera Data Platform to surface who holds access they no longer need.
A continuously synced copy in Cloudera Data Platform gives you a durable, queryable record of identity and access state for access reviews, SOC 2, and audit questions.
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.
| Cloudera Data Platform objects | Jumpcloud objects | How this pairing syncs | |
|---|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Directory Insights events Audit stream of logins and admin actions across SSO, LDAP, RADIUS, systems, and MDM; read-only, queried by POST and used as the change feed and SIEM source. | Partitions is specific to Cloudera Data Platform and Directory Insights events to Jumpcloud — each maps to any object or custom field on the other side. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | System Users (Users) Directory user accounts (email, username, attributes, status, MFA, group and app bindings); full CRUD via the v1 /systemusers API - create, update, activate or suspend, and delete to match an HR or identity source. | Object store / HDFS files is specific to Cloudera Data Platform and System Users (Users) to Jumpcloud — each maps to any object or custom field on the other side. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and 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. | Databases is specific to Cloudera Data Platform and User Groups to Jumpcloud — each maps to any object or custom field on the other side. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | 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. | Hive tables is specific to Cloudera Data Platform and Systems (devices) to Jumpcloud — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | System Groups Device groups used to scope policies, commands, and access; full CRUD via v2 /systemgroups, with systems bound and unbound through association endpoints. | Impala tables is specific to Cloudera Data Platform and System Groups to Jumpcloud — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | 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. | Kudu tables is specific to Cloudera Data Platform and Applications (SSO) to Jumpcloud — 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 Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is written to Jumpcloud through its API, with automatic retries and rate-limit backoff.
DetectionJumpcloud notifies Stacksync of record changes through webhook events. No database-style change log.
DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Jumpcloud connection.
Changes in Cloudera Data Platform or Jumpcloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Jumpcloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Cloudera Data Platform or Jumpcloud record.
Track your Cloudera Data Platform ⇄ Jumpcloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Jumpcloud.
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 Cloudera Data Platform and Jumpcloud 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 Cloudera Data Platform and Jumpcloud 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 Cloudera Data Platform and Jumpcloud: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Cloudera Data Platform and Jumpcloud: Access and sign-in analytics; Access governance on joined data; Queryable history for audit and compliance. Sign-in and access events from Jumpcloud land in Cloudera Data Platform, so security and compliance teams can query who reached what, and when, alongside the rest of the business's data.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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. Stacksync manages authentication, retries, and rate limits on both sides.
Cloudera Data Platform: Access is commonly brokered by Apache Knox and secured with Kerberos or LDAP, which integration tooling must support. 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 Cloudera Data Platform and Jumpcloud 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 Cloudera Data Platform and Jumpcloud records are not retained after a sync operation.
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 434 integrations available for Cloudera Data Platform and Jumpcloud.