Two-way sync
Changes in Greenhouse or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Keep Greenhouse and Tinybird in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 Greenhouse is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Tinybird next to everything else the company measures.
Stacksync syncs Applications, Jobs, Offers, Scorecards from Greenhouse into tables in Tinybird continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Tinybird, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Greenhouse where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
A continuously synced copy in Tinybird gives you a durable, queryable record of how Greenhouse's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in Tinybird sync back onto the matching records in Greenhouse, where the HR team sees them in the system they already use.
People and organization records from Greenhouse arrive in Tinybird as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
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 | Tinybird objects | How this pairing syncs | |
|---|---|---|---|
| Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Tokens Scoped credentials that control read and append rights per resource. | Jobs is specific to Greenhouse and Tokens to Tinybird — each maps to any object or custom field on the other side. | |
| Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. | Offers is specific to Greenhouse and Data Sources to Tinybird — each maps to any object or custom field on the other side. | |
| Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Pipes Chained SQL nodes that transform Data Sources into query-ready results. | Scorecards is specific to Greenhouse and Pipes to Tinybird — each maps to any object or custom field on the other side. | |
| Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. | Scheduled Interviews is specific to Greenhouse and API Endpoints to Tinybird — 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. | Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. | Users is specific to Greenhouse and Materialized Views to Tinybird — 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. | Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. | Departments and Offices is specific to Greenhouse and Workspaces to Tinybird — each maps to any object or custom field on the other side. |
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.
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 Tinybird as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–Tinybird connection.
Changes in Greenhouse or Tinybird instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenhouse or Tinybird data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Greenhouse or Tinybird record.
Track your Greenhouse ⇄ Tinybird sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenhouse and Tinybird.
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.
Authenticate Greenhouse and Tinybird with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Greenhouse and Tinybird 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and Tinybird: authenticate both systems, choose the objects to sync (such as Greenhouse's Jobs and Offers), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Tinybird side: API Endpoints, Materialized Views, Workspaces, Tokens, plus custom fields where Tinybird exposes them. On the Greenhouse side: Applications, Jobs, Offers, Scorecards. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Greenhouse and Tinybird: Queryable history for planning and audit; Write-back of computed values; HR data in the warehouse, minus the pipeline. A continuously synced copy in Tinybird gives you a durable, queryable record of how Greenhouse's records change over time, for headcount planning and audit questions.
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. Tinybird: REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect. Authentication: Scoped auth tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Tinybird: Rows that fail a Data Source schema are diverted to a companion quarantine Data Source instead of failing the whole batch. 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 Tinybird without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 431 integrations available for Greenhouse and Tinybird.