Real-time
Two-way sync
Changes in BambooHR or Postgres Heroku instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
BambooHR to Postgres Heroku integration — real-time, two-way sync
Keep BambooHR 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect BambooHR and Postgres Heroku
Put your workforce data where your apps can reach it: Postgres Heroku and BambooHR share the same people, positions, and org structure in real time.
BambooHR 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: Departments and Divisions, Custom Tables, Reports, Employees in BambooHR need to exist as queryable Sequences, Follower Databases, Tables, Views 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 Sequences, Follower Databases, Tables, Views in Postgres Heroku with Departments and Divisions, Custom Tables, Reports, Employees in BambooHR field by field, in real time. You decide which system owns which fields — BambooHR 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 Reflect billing and subscription records into the app database so product logic reads local rows
- 02 Expose CRM objects as Postgres tables the Heroku application can query and join directly
- 03 Feed Compensation and custom-table data to a warehouse for HR analytics with field-level access control.
- 04 Sync Employees and Employment Status to identity and IT systems so new hires are provisioned and departures deactivated automatically.
Common sync patterns
Org and structure stay aligned
Groups, departments, managers, and reporting lines from BambooHR stay consistent in Postgres Heroku, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in Postgres Heroku write onto the matching record in BambooHR where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in BambooHR land as queryable Sequences, Follower Databases, Tables, Views in Postgres Heroku, so internal apps and dashboards read live data instead of a periodic export.
What you can sync between BambooHR 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.
| BambooHR objects | Postgres Heroku objects | How this pairing syncs | |
|---|---|---|---|
| Reports Saved company reports retrievable via API; read out on a schedule to feed a warehouse without rebuilding field-by-field queries. | Follower Databases Heroku-managed read replicas usable as low-impact sync sources. | Reports is specific to BambooHR and Follower Databases to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Employees The core person record with personal and work fields; read out to identity, payroll, and IT systems, and written back from recruiting or onboarding tools. | Tables Standard Postgres tables; the primary two-way sync target for app data. | Employees is specific to BambooHR and Tables to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Job Information Effective-dated job title, department, division, location, and reporting line; synced so org charts and provisioning systems track internal moves. | Views Read-side projections exposed to outbound syncs. | Job Information is specific to BambooHR and Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Compensation Effective-dated pay rate, schedule, and change reason; read into planning and payroll systems with access restricted to authorized fields. | Materialized Views Precomputed result sets synced outward on refresh. | Compensation is specific to BambooHR and Materialized Views to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Time Off Requests, balances, and policies; read for absence calendars and capacity planning, with approved requests written from an external scheduling tool. | Schemas Namespaces that scope which tables a sync reads and writes. | Time Off is specific to BambooHR and Schemas to Postgres Heroku — each maps to any object or custom field on the other side. | |
| Employment Status Effective-dated hire, leave, and termination status; drives automated provisioning and deprovisioning in downstream identity and license systems. | Primary and Unique Keys Match keys for idempotent upserts from connected systems. | Employment Status is specific to BambooHR and Primary and Unique Keys to Postgres Heroku — each maps to any object or custom field on the other side. |
How changes propagate between BambooHR 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.
BambooHR Postgres Heroku Sub-second propagation
DetectionBambooHR notifies Stacksync of record changes through webhook events. The Get Updated Employee IDs endpoint (last-changed timestamps) returns employees inserted, updated, or deleted since a cursor for efficient polling.
DeliveryEach detected change is applied to Postgres Heroku as a row-level write, with types converted between the two schemas.
Postgres Heroku BambooHR 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 BambooHR through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- BambooHR: Requests are rate-limited per API key with standard REST throttling (429 on excess); bulk reads are best done through saved Reports or the updated-IDs delta endpoint rather than per-employee calls.
- Postgres Heroku: No API rate limits; connection counts and performance are bounded by the Heroku Postgres plan.
What ships with BambooHR ⇄ Postgres Heroku
Connect BambooHR and Postgres Heroku for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BambooHR–Postgres Heroku connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BambooHR 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 BambooHR or Postgres Heroku record.
Observability
Monitoring
Track your BambooHR ⇄ 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 BambooHR and Postgres Heroku.
How the BambooHR and Postgres Heroku connectors work
BambooHR
- Integration surface
- BambooHR API (REST, per-company subdomain)
- Authentication
- API key per user over HTTP Basic auth (key as username), scoped to that user's permission level in BambooHR; OAuth/OpenID available for SSO-enabled apps
- Change detection
- The Get Updated Employee IDs endpoint (last-changed timestamps) returns employees inserted, updated, or deleted since a cursor for efficient polling; webhooks can fire on monitored field changes
- Capabilities
- read · write · webhooks
- Rate limits
- Requests are rate-limited per API key with standard REST throttling (429 on excess); bulk reads are best done through saved Reports or the updated-IDs delta endpoint rather than per-employee calls.
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 BambooHR 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 BambooHR 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.
BambooHR
connected
Postgres Heroku
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BambooHR 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 · BambooHR ⇄ 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.
BambooHR Postgres HerokuCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BambooHR and Postgres Heroku integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between BambooHR and Postgres Heroku: authenticate both systems, choose the objects to sync (such as BambooHR's Reports and Employees), map fields visually, and changes propagate both ways in milliseconds — no code required.
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On the Postgres Heroku side: Sequences, Follower Databases, Tables, Views, plus custom fields where Postgres Heroku exposes them. On the BambooHR side: Departments and Divisions, Custom Tables, Reports, Employees. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for BambooHR and Postgres Heroku: Org and structure stay aligned; Computed and operational fields flow back; Mirror people records into the database. Groups, departments, managers, and reporting lines from BambooHR stay consistent in Postgres Heroku, so hierarchy-driven logic and permissions don't drift.
-
BambooHR: BambooHR API (REST, per-company subdomain). Authentication: API key per user over HTTP Basic auth (key as username), scoped to that user's permission level in BambooHR; OAuth/OpenID available for SSO-enabled apps. Postgres Heroku: SQL wire protocol (standard PostgreSQL). Authentication: Database credentials from the Heroku DATABASE_URL config var; SSL required. Stacksync manages authentication, retries, and rate limits on both sides.
-
Postgres Heroku: Heroku Postgres is standard PostgreSQL, so any Postgres client, driver, or SQL tool connects unchanged. BambooHR: Each account lives on a company subdomain (companyname.bamboohr.com) that is part of every API URL. Stacksync's field mapping accounts for these differences between BambooHR and Postgres Heroku without custom code.
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
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Postgres Heroku ⇄ Lever
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