Real-time
Two-way sync
Changes in Greenhouse or Supabase instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Greenhouse to Supabase integration — real-time, two-way sync
Keep Greenhouse and Supabase 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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Why teams connect Greenhouse and Supabase
Put your workforce data where your apps can reach it: Supabase and Greenhouse share the same people, positions, and org structure in real time.
Greenhouse is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Supabase is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Departments and Offices, Candidates, Applications, Jobs in Greenhouse need to exist as queryable auth.users, Row Level Security Policies, JSONB Columns, Database Functions in Supabase 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 auth.users, Row Level Security Policies, JSONB Columns, Database Functions in Supabase with Departments and Offices, Candidates, Applications, Jobs in Greenhouse field by field, in real time. You decide which system owns which fields — Greenhouse 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 Sync application tables in Supabase with the CRM two-way so new signups appear as contacts and sales edits flow back to the app
- 02 Mirror billing and subscription records into Supabase tables the application can join directly
- 03 Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.
- 04 Export Scorecards and Scheduled Interviews to a data warehouse to analyze interviewer load and interview outcomes.
Common sync patterns
Mirror people records into the database
Records maintained in Greenhouse land as queryable auth.users, Row Level Security Policies, JSONB Columns, Database Functions in Supabase, 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.
Reporting and analytics on current data
Departments and Offices, Candidates, Applications, Jobs replicate into Supabase where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
What you can sync between Greenhouse and Supabase
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.
| Greenhouse objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Schemas Namespaces (public and custom) that scope sync access. | Scheduled Interviews is specific to Greenhouse and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Users is specific to Greenhouse and auth.users to Supabase — each maps to any object or custom field on the other side. | |
| Departments and Offices Org structure attached to Jobs; read and written to keep reporting hierarchies aligned with an HRIS or warehouse. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | Departments and Offices is specific to Greenhouse and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | Candidates is specific to Greenhouse and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. | Database Functions Postgres functions that can transform or validate synced rows. | Applications is specific to Greenhouse and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Storage Object Metadata File metadata rows that can be joined to synced application data. | Jobs is specific to Greenhouse and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Greenhouse and Supabase
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.
Greenhouse Supabase Sub-second propagation
DetectionGreenhouse notifies Stacksync of record changes through webhook events. HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after /.
DeliveryEach detected change is applied to Supabase as a row-level write, with types converted between the two schemas.
Supabase Greenhouse Sub-second propagation
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Greenhouse: Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Greenhouse ⇄ Supabase
Connect Greenhouse and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenhouse or Supabase 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 Greenhouse or Supabase record.
Observability
Monitoring
Track your Greenhouse ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Greenhouse and Supabase.
How the Greenhouse and Supabase connectors work
Greenhouse
- Integration surface
- Harvest REST API (plus read-only Job Board API and the Ingestion API for bulk candidate import)
- Authentication
- HTTP Basic Auth with a Harvest API key (key as username, blank password, colon appended then Base64-encoded); write calls require an On-Behalf-Of header naming the Greenhouse user
- Change detection
- HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters
- Capabilities
- read · write · webhooks
- Rate limits
- Harvest enforces a per-integration limit over a rolling 10-second window (X-RateLimit-Limit, commonly 50 requests / 10s for approved integrations); responses carry X-RateLimit-Remaining and, on a 429, X-RateLimit-Reset and Retry-After.
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Greenhouse to Supabase — 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 Greenhouse and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Greenhouse
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenhouse and Supabase 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 · Greenhouse ⇄ SupabaseCustomers 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.
Greenhouse SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenhouse and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and Supabase: authenticate both systems, choose the objects to sync (such as Greenhouse's Scheduled Interviews and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Supabase: PostgREST auto-generates a REST endpoint per table, with Row Level Security policies gating access at the row level. Greenhouse: Pagination is Link-header (RFC-5988) based with per_page between 1 and 500 (default 100). Stacksync's field mapping accounts for these differences between Greenhouse and Supabase 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 Greenhouse and Supabase 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 Greenhouse and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenhouse–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Greenhouse and Supabase. 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 Greenhouse: HMAC-SHA256 signed webhooks for candidate, application, job, and interview events, plus polling list endpoints with created_after / updated_after / last_activity_after filters. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. 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:
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