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Data warehouse ⇄ Human resources

Cloudera Data Platform to Hibob integration — real-time, two-way sync

Keep Cloudera Data Platform and Hibob in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Why teams connect Cloudera Data Platform and Hibob

Land the people and organization records from Hibob in Cloudera Data Platform as live tables for workforce reporting, without extract jobs, and write computed results back where Hibob can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Hibob is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Cloudera Data Platform next to everything else the company measures.

Stacksync syncs Named lists, People (Employees), Employment, Work from Hibob into tables in Cloudera Data Platform continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Cloudera Data Platform, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Hibob where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Publish CRM or ERP records into CDP so enterprise analytics runs alongside existing data lake workloads.
  • 02 Consolidate tables from on-prem and cloud CDP environments into a single cloud warehouse target.
  • 03 Two-way sync People (employee) profiles and Work records with a Postgres database so internal apps and directories read profiles in SQL while HR corrections flow back into Bob.
  • 04 Auto-provision or deprovision accounts in an IdP, ticketing tool, or app database when Bob Lifecycle events fire employee joined or terminated.

Common sync patterns

Queryable history for planning and audit

A continuously synced copy in Cloudera Data Platform gives you a durable, queryable record of how Hibob's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Cloudera Data Platform sync back onto the matching records in Hibob, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from Hibob arrive in Cloudera Data Platform as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

What you can sync between Cloudera Data Platform and Hibob

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 Hibob objects How this pairing syncs
Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. People (Employees) Core employee records with out-of-the-box and custom fields; read via POST /people/search, created and updated through the /people endpoints. Hive tables is specific to Cloudera Data Platform and People (Employees) to Hibob — 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. Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. Impala tables is specific to Cloudera Data Platform and Employment to Hibob — 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. Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. Kudu tables is specific to Cloudera Data Platform and Work to Hibob — each maps to any object or custom field on the other side.
Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. Iceberg tables is specific to Cloudera Data Platform and Salaries to Hibob — each maps to any object or custom field on the other side.
Views SQL views that can present curated, sync-ready projections of raw lake data. Time off Absence requests and who's-out data via /timeoff/employees/{id}/requests and /timeoff/whosout; submit new requests and read balances. Views is specific to Cloudera Data Platform and Time off to Hibob — each maps to any object or custom field on the other side.
Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. Lifecycle Hire, termination, and leave status changes at /people/{id}/lifecycle; read-only and the source of lifecycle webhook events. Partitions is specific to Cloudera Data Platform and Lifecycle to Hibob — each maps to any object or custom field on the other side.

How changes propagate between Cloudera Data Platform and Hibob

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.

Cloudera Data Platform Hibob Interval-based propagation

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 Hibob through its API, with automatic retries and rate-limit backoff.

Hibob Cloudera Data Platform Sub-second propagation

DetectionHibob notifies Stacksync of record changes through webhook events. Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events.

DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Cloudera Data Platform: Constrained by cluster capacity and admission control rather than API rate limits.
  • Hibob: Rate limits are enforced per service user; violations return HTTP 429 with X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. The docs list POST /people/search at 50 requests per minute, and bulk /people/search is preferred over per-record reads.
What ships with Cloudera Data Platform ⇄ Hibob

Connect Cloudera Data Platform and Hibob for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Hibob connection.

Real-time

Two-way sync

Changes in Cloudera Data Platform or Hibob instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cloudera Data Platform or Hibob data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Cloudera Data Platform or Hibob record.

Observability

Monitoring

Track your Cloudera Data Platform ⇄ Hibob sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Hibob.

How the Cloudera Data Platform and Hibob connectors work

Cloudera Data Platform

Integration surface
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
Change detection
Polling via SQL on timestamp or partition columns; no consumer-facing change feed
Capabilities
read · write
Rate limits
Constrained by cluster capacity and admission control rather than API rate limits

Hibob

Integration surface
REST API (the Bob API)
Authentication
Service User credentials over HTTP Basic auth (Base64-encoded serviceUserId:serviceUserToken); permissions granted per data category (People, Payroll, Documents) in Bob admin
Change detection
Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event).
Capabilities
read · write · webhooks
Rate limits
Rate limits are enforced per service user; violations return HTTP 429 with X-RateLimit-Limit, X-RateLimit-Remaining, and X-RateLimit-Reset response headers. The docs list POST /people/search at 50 requests per minute, and bulk /people/search is preferred over per-record reads.
Hibob setup guide
How it works

How to connect Cloudera Data Platform to Hibob — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Cloudera Data Platform and Hibob with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Cloudera Data Platform connected
    Hibob connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cloudera Data Platform and Hibob 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Cloudera Data Platform ⇄ Hibob
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Cloudera Data Platform Hibob
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cloudera Data Platform and Hibob integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 436 integrations available for Cloudera Data Platform and Hibob.

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