Real-time
Two-way sync
Changes in Hibob or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Hibob to Postgres Heroku integration — real-time, two-way sync
Keep Hibob and Postgres Heroku in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Hibob and Postgres Heroku
Put your workforce data where your apps can reach it: Postgres Heroku 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. Postgres Heroku is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employment, Work, Salaries, Time off in Hibob need to exist as queryable Tables, Views, Materialized Views, Schemas in Postgres Heroku 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 Tables, Views, Materialized Views, Schemas in Postgres Heroku with Employment, Work, Salaries, Time off 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 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 02 Sync Heroku Postgres into a warehouse for reporting without running ETL dynos
- 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
Computed and operational fields flow back
Values assembled or corrected in Postgres Heroku write onto the matching record in Hibob where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Hibob land as queryable Tables, Views, Materialized Views, Schemas in Postgres Heroku, so internal apps and dashboards read live data instead of a periodic export.
One directory of record
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
What you can sync between Hibob and Postgres Heroku
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 | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Time off Absence requests and who's-out data via /timeoff/employees/{id}/requests and /timeoff/whosout; submit new requests and read balances. | Sequences Generate surrogate keys for rows created by inbound syncs. | Time off is specific to Hibob and Sequences to Postgres Heroku — 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. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Lifecycle is specific to Hibob and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Documents Employee documents accessed under the Docs API; gated behind the Documents permission granted per service user. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Documents is specific to Hibob and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Named lists Dropdown option lists such as departments and sites used to resolve field values when mapping People records during sync. | Views Read-side projections exposed to outbound syncs. | Named lists is specific to Hibob and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed result sets synced outward on refresh. | People (Employees) is specific to Hibob and Materialized Views to Postgres Heroku — 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. | Schemas Namespaces that scope which tables a sync reads and writes. | Employment is specific to Hibob and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between Hibob and Postgres Heroku
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 Postgres Heroku 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 Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku Hibob Interval-based propagation
DetectionStacksync polls Postgres Heroku for changes on an incremental schedule, reading only records changed since the previous pass. Trigger-based capture or polling in most configurations.
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.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with Hibob ⇄ Postgres Heroku
Connect Hibob and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Hibob–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Hibob or Postgres Heroku 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 Postgres Heroku record.
Observability
Monitoring
Track your Hibob ⇄ Postgres Heroku 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 Postgres Heroku.
How the Hibob and Postgres Heroku 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.
Postgres Heroku
- Integration surface
- SQL wire protocol (standard PostgreSQL)
- Authentication
- Database credentials from the Heroku DATABASE_URL config var; SSL required
- Change detection
- Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings
- Capabilities
- read · write
- Rate limits
- No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan
How it works
How to connect Hibob to Postgres Heroku — 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.
- 01
Connect your apps
Authenticate Hibob and Postgres Heroku with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Hibob
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Hibob and Postgres Heroku 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.
objects · Hibob ⇄ Postgres HerokuCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Hibob Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Hibob and Postgres Heroku integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Hibob and Postgres Heroku: authenticate both systems, choose the objects to sync (such as Hibob's Time off and Lifecycle), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Postgres Heroku: Credentials are managed by Heroku through the DATABASE_URL config var and can rotate, so integrations should tolerate credential changes. Hibob: The employee.updated webhook flags which fields changed rather than sending the full record, so Bob recommends an API call for complete data; deleting a table entry triggers no webhook because Bob has no table-entry deletion event. Stacksync's field mapping accounts for these differences between Hibob and Postgres Heroku without custom code.
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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 Hibob and Postgres Heroku records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Hibob and Postgres Heroku connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Hibob–Postgres Heroku integration in-house.
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Yes — Stacksync ships production-grade connectors for both Hibob and Postgres Heroku. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Hibob: 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). On Postgres Heroku: Trigger-based capture or polling in most configurations; log-based logical replication availability depends on plan and Heroku's managed server settings. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 448 integrations available for Hibob and Postgres Heroku.
Popular · 7 of 448
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Hibob ⇄ MariaDB -
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Postgres Heroku ⇄ Greenhouse -
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Postgres Heroku ⇄ Lever
No integrations match .
