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Human resources ⇄ Database

Hibob to TimescaleDB integration — real-time, two-way sync

Keep Hibob and TimescaleDB 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Hibob and TimescaleDB

Put your workforce data where your apps can reach it: TimescaleDB and Hibob share the same people, positions, and org structure in real time.

Hibob is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. TimescaleDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Work, Salaries, Time off, Lifecycle in Hibob need to exist as queryable Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB before an app can act on them. When that bridge is a nightly export or a hand-run CSV, every downstream system spends the day working from a roster that has already moved on.

Stacksync syncs Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB with Work, Salaries, Time off, Lifecycle in Hibob field by field, in real time. You decide which system owns which fields — Hibob typically owns identity and org attributes, while operational or computed values can flow back the other way — and Stacksync keeps every copy consistent, matching records on a stable key and resolving conflicts by rules you set.

The result is one live picture of the workforce on both sides: HR keeps its source of truth, and the database keeps a current mirror that internal apps, reports, and access controls can trust without a batch window in between.

Common use cases

  • 01 Replicate subscription and billing events from operational Postgres tables into Timescale hypertables for time-series analysis.
  • 02 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
  • 03 Mirror Work data (department, site, manager, title) into an org-chart or reporting warehouse for headcount and structure analysis.
  • 04 Sync Time off requests and who's-out data into a scheduling or workforce-planning database for coverage and capacity reporting.

Common sync patterns

Reporting and analytics on current data

Work, Salaries, Time off, Lifecycle replicate into TimescaleDB where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Hibob stay consistent in TimescaleDB, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in TimescaleDB write onto the matching record in Hibob where those fields are writable, keeping the people system enriched.

What you can sync between Hibob and TimescaleDB

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.

Hibob objects TimescaleDB objects How this pairing syncs
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. Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. People (Employees) is specific to Hibob and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side.
Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. Employment is specific to Hibob and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side.
Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. Views Standard SQL views used to shape or filter data for consumers. Work is specific to Hibob and Views to TimescaleDB — each maps to any object or custom field on the other side.
Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. Schemas Postgres namespaces used to separate synced datasets by team or environment. Salaries is specific to Hibob and Schemas to TimescaleDB — each maps to any object or custom field on the other side.
Time off Absence requests and who's-out data via /timeoff/employees/{id}/requests and /timeoff/whosout; submit new requests and read balances. Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. Time off is specific to Hibob and Hypertables to TimescaleDB — each maps to any object or custom field on the other side.
Lifecycle Hire, termination, and leave status changes at /people/{id}/lifecycle; read-only and the source of lifecycle webhook events. Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. Lifecycle is specific to Hibob and Chunks to TimescaleDB — each maps to any object or custom field on the other side.

How changes propagate between Hibob and TimescaleDB

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.

Hibob TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.

TimescaleDB Hibob Sub-second propagation

DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.

DeliveryEach detected change is written to Hibob through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • 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.
  • TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Hibob ⇄ TimescaleDB

Connect Hibob and TimescaleDB for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Hibob or TimescaleDB 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 Hibob or TimescaleDB record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Hibob and TimescaleDB.

How the Hibob and TimescaleDB connectors work

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

TimescaleDB

Integration surface
SQL wire protocol (PostgreSQL)
Authentication
Database credentials
Change detection
Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
Capabilities
read · write · CDC
Rate limits
No API rate limits; throughput is bounded by database resources and connection limits.
How it works

How to connect Hibob to TimescaleDB — 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 Hibob and TimescaleDB 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
    Hibob connected
    TimescaleDB connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Hibob and TimescaleDB 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 · Hibob ⇄ TimescaleDB
    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
    Hibob TimescaleDB
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Hibob and TimescaleDB 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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

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:

Related integrations

Every pair below is a real-time, two-way sync. Search all 429 integrations available for Hibob and TimescaleDB.

Popular · 7 of 429
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