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Data warehouse ⇄ Human resources

AWS S3 to Hibob integration — real-time, two-way sync

Keep AWS S3 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect AWS S3 and Hibob

Land the people and organization records from Hibob in AWS S3 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 AWS S3 next to everything else the company measures.

Stacksync syncs Work, Salaries, Time off, Lifecycle from Hibob into tables in AWS S3 continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in AWS S3, 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 Stage bulk loads for warehouses that ingest from object storage.
  • 02 Archive change history from ongoing syncs as timestamped files for audit and replay.
  • 03 Sync Time off requests and who's-out data into a scheduling or workforce-planning database for coverage and capacity reporting.
  • 04 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.

Common sync patterns

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

Queryable history for planning and audit

A continuously synced copy in AWS S3 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 AWS S3 sync back onto the matching records in Hibob, where the HR team sees them in the system they already use.

What you can sync between AWS S3 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.

AWS S3 objects Hibob objects How this pairing syncs
Access Points Scoped network endpoints used to grant a sync narrow access to a bucket. Named lists Dropdown option lists such as departments and sites used to resolve field values when mapping People records during sync. Access Points is specific to AWS S3 and Named lists to Hibob — each maps to any object or custom field on the other side.
Multipart Uploads The mechanism used to write large export files reliably. 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. Multipart Uploads is specific to AWS S3 and People (Employees) to Hibob — each maps to any object or custom field on the other side.
Buckets Top-level containers a sync targets; region and policy are set at this level. Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. Buckets is specific to AWS S3 and Employment to Hibob — each maps to any object or custom field on the other side.
Objects The stored files (CSV, JSON, Parquet); syncs read them as datasets or write exports into them. Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. Objects is specific to AWS S3 and Work to Hibob — each maps to any object or custom field on the other side.
Prefixes Key-name paths used to partition synced datasets, since S3 has no real directories. Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. Prefixes is specific to AWS S3 and Salaries to Hibob — each maps to any object or custom field on the other side.
Object Metadata System and user-defined metadata read alongside object contents. Time off Absence requests and who's-out data via /timeoff/employees/{id}/requests and /timeoff/whosout; submit new requests and read balances. Object Metadata is specific to AWS S3 and Time off to Hibob — each maps to any object or custom field on the other side.

How changes propagate between AWS S3 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.

AWS S3 Hibob Sub-second propagation

DetectionAWS S3 notifies Stacksync of record changes through webhook events. S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge.

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

Hibob AWS S3 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 written to AWS S3 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • AWS S3: Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes.
  • 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 AWS S3 ⇄ Hibob

Connect AWS S3 and Hibob for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS S3–Hibob connection.

Real-time

Two-way sync

Changes in AWS S3 or Hibob instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever AWS S3 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 AWS S3 or Hibob record.

Observability

Monitoring

Track your AWS S3 ⇄ Hibob sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between AWS S3 and Hibob.

How the AWS S3 and Hibob connectors work

AWS S3

Integration surface
REST API (the S3 API), accessed directly or through AWS SDKs
Authentication
AWS IAM credentials with SigV4 signing; commonly a role scoped to specific buckets and prefixes
Change detection
S3 Event Notifications on object create/delete delivered to SQS, SNS, Lambda, or EventBridge; list-based polling as a fallback
Capabilities
read · write · webhooks
Rate limits
Request throughput scales per prefix; sustained high-volume workloads should spread keys across prefixes

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 AWS S3 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 AWS S3 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
    AWS S3 connected
    Hibob connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the AWS S3 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 · AWS S3 ⇄ 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
    AWS S3 Hibob
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

AWS S3 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 543 integrations available for AWS S3 and Hibob.

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