Real-time
Two-way sync
Changes in Greenhouse or YugabyteDB instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Greenhouse to YugabyteDB integration — real-time, two-way sync
Keep Greenhouse and YugabyteDB 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Greenhouse and YugabyteDB
Put your workforce data where your apps can reach it: YugabyteDB 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. YugabyteDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Jobs, Offers, Scorecards, Scheduled Interviews in Greenhouse need to exist as queryable Indexes, Materialized Views, Schemas, Sequences in YugabyteDB 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 Indexes, Materialized Views, Schemas, Sequences in YugabyteDB with Jobs, Offers, Scorecards, Scheduled Interviews 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 Consolidate data from regional YugabyteDB clusters into one reporting store.
- 02 Run log-based CDC from YugabyteDB tables into a warehouse for analytics without batch dumps.
- 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
Mirror people records into the database
Records maintained in Greenhouse land as queryable Indexes, Materialized Views, Schemas, Sequences in YugabyteDB, 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
Jobs, Offers, Scorecards, Scheduled Interviews replicate into YugabyteDB 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 YugabyteDB
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 | YugabyteDB objects | How this pairing syncs | |
|---|---|---|---|
| Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | Databases and Keyspaces Top-level containers for the YSQL (Postgres-style) and YCQL (Cassandra-style) APIs respectively. | Candidates is specific to Greenhouse and Databases and Keyspaces to YugabyteDB — 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. | Tables Distributed SQL tables split into tablets; the primary read and write targets. | Applications is specific to Greenhouse and Tables to YugabyteDB — 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. | Indexes Global secondary indexes maintained transactionally alongside table writes. | Jobs is specific to Greenhouse and Indexes to YugabyteDB — 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. | Materialized Views Precomputed query results available in YSQL for read-side shaping. | Offers is specific to Greenhouse and Materialized Views to YugabyteDB — 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. | Schemas Postgres-style namespaces in YSQL used to organize synced data. | Scorecards is specific to Greenhouse and Schemas to YugabyteDB — 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. | Sequences ID generation objects relevant when syncing writes into YSQL tables. | Scheduled Interviews is specific to Greenhouse and Sequences to YugabyteDB — each maps to any object or custom field on the other side. |
How changes propagate between Greenhouse and YugabyteDB
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 YugabyteDB 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 YugabyteDB as a row-level write, with types converted between the two schemas.
YugabyteDB Greenhouse Sub-second propagation
DetectionChanges in YugabyteDB are captured at the source via change data capture — no polling loop against its API. Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors.
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.
- YugabyteDB: No API rate limits; throughput scales with cluster nodes and tablet distribution.
What ships with Greenhouse ⇄ YugabyteDB
Connect Greenhouse and YugabyteDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–YugabyteDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Greenhouse or YugabyteDB 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 YugabyteDB record.
Observability
Monitoring
Track your Greenhouse ⇄ YugabyteDB 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 YugabyteDB.
How the Greenhouse and YugabyteDB 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.
YugabyteDB
- Integration surface
- SQL wire protocol (PostgreSQL-compatible YSQL) plus a Cassandra-compatible YCQL API
- Authentication
- Database credentials
- Change detection
- Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput scales with cluster nodes and tablet distribution.
How it works
How to connect Greenhouse to YugabyteDB — 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 YugabyteDB 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
YugabyteDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Greenhouse and YugabyteDB 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 ⇄ YugabyteDBCustomers 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 YugabyteDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Greenhouse and YugabyteDB integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Greenhouse and YugabyteDB: authenticate both systems, choose the objects to sync (such as Greenhouse's Candidates and Applications), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
YugabyteDB: YSQL reuses the actual PostgreSQL query layer on top of the distributed DocDB storage engine, so most Postgres syntax, drivers, and tools work as-is. 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 YugabyteDB without custom code.
-
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 YugabyteDB records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Greenhouse and YugabyteDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Greenhouse–YugabyteDB integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Greenhouse and YugabyteDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
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 YugabyteDB: Native CDC from the write-ahead log via PostgreSQL logical replication or Debezium-compatible connectors. 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 429 integrations available for Greenhouse and YugabyteDB.
Popular · 7 of 429
-
Greenhouse ⇄ RavenDB -
Greenhouse ⇄ Redis Enterprise -
Greenhouse ⇄ SAP ASE (Sybase) -
Greenhouse ⇄ Scaleway Postgres -
YugabyteDB ⇄ Oracle Fusion Cloud HCM -
YugabyteDB ⇄ Smartrecruiters -
YugabyteDB ⇄ Ukg Pro
No integrations match .
