Real-time
Two-way sync
Changes in Greenhouse or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Greenhouse to TimescaleDB integration — real-time, two-way sync
Keep Greenhouse 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.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Greenhouse and TimescaleDB
Put your workforce data where your apps can reach it: TimescaleDB 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. TimescaleDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Scorecards, Scheduled Interviews, Users, Departments and Offices in Greenhouse need to exist as queryable Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables 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 Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB with Scorecards, Scheduled Interviews, Users, Departments and Offices 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 Keep device or asset reference tables bi-directionally in sync between TimescaleDB and an ERP.
- 02 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 03 Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.
- 04 Stream Jobs, Departments, and Offices into a reporting database for recruiting funnel and time-to-fill dashboards.
Common sync patterns
Org and structure stay aligned
Groups, departments, managers, and reporting lines from Greenhouse 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 Greenhouse where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Greenhouse land as queryable Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables in TimescaleDB, so internal apps and dashboards read live data instead of a periodic export.
What you can sync between Greenhouse 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.
| Greenhouse objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | Scheduled Interviews is specific to Greenhouse and Hypertables to TimescaleDB — 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | Users is specific to Greenhouse and Chunks to TimescaleDB — 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. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | Departments and Offices is specific to Greenhouse and Continuous Aggregates to TimescaleDB — 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. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | Candidates is specific to Greenhouse and Regular PostgreSQL Tables to TimescaleDB — 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. | Views Standard SQL views used to shape or filter data for consumers. | Applications is specific to Greenhouse and Views to TimescaleDB — 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. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Jobs is specific to Greenhouse and Schemas to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Greenhouse 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.
Greenhouse TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Greenhouse 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 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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Greenhouse ⇄ TimescaleDB
Connect Greenhouse and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenhouse 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 Greenhouse or TimescaleDB record.
Observability
Monitoring
Track your Greenhouse ⇄ TimescaleDB 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 TimescaleDB.
How the Greenhouse and TimescaleDB 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.
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 Greenhouse 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.
- 01
Connect your apps
Authenticate Greenhouse 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.
Greenhouse
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenhouse 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.
objects · Greenhouse ⇄ TimescaleDBCustomers 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 TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenhouse and TimescaleDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and TimescaleDB: 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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On the TimescaleDB side: Hypertables, Chunks, Continuous Aggregates, Regular PostgreSQL Tables, plus custom fields where TimescaleDB exposes them. On the Greenhouse side: Scorecards, Scheduled Interviews, Users, Departments and Offices. 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 Greenhouse and TimescaleDB: Org and structure stay aligned; Computed and operational fields flow back; Mirror people records into the database. Groups, departments, managers, and reporting lines from Greenhouse stay consistent in TimescaleDB, so hierarchy-driven logic and permissions don't drift.
-
Greenhouse: 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. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
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TimescaleDB: Native compression converts older chunks to a columnar layout while keeping them queryable with the same SQL. Greenhouse: Change feeds rely on signed webhooks or updated_after / last_activity_after polling; there is no log-based change data capture. Stacksync's field mapping accounts for these differences between Greenhouse and TimescaleDB 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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TimescaleDB ⇄ BambooHR
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