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Human resources ⇄ Database

Greenhouse to IBM Informix integration — real-time, two-way sync

Keep Greenhouse and IBM Informix 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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Why teams connect Greenhouse and IBM Informix

Put your workforce data where your apps can reach it: IBM Informix 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. IBM Informix 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 Rows, Views, TimeSeries objects, Stored procedures in IBM Informix 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 Rows, Views, TimeSeries objects, Stored procedures in IBM Informix 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 Keep embedded or edge Informix instances aligned with a central operational database.
  • 02 Feed inventory and transaction data from legacy Informix applications into modern ERPs during migration.
  • 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

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Greenhouse stay consistent in IBM Informix, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in IBM Informix 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 Rows, Views, TimeSeries objects, Stored procedures in IBM Informix, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Greenhouse and IBM Informix

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 IBM Informix objects How this pairing syncs
Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. Rows The unit of read and write, keyed by primary key. Scheduled Interviews is specific to Greenhouse and Rows to IBM Informix — 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. Views Read-only projections used to shape outbound data. Users is specific to Greenhouse and Views to IBM Informix — 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. TimeSeries objects Informix's native time-series type, usually exposed to syncs through virtual tables. Departments and Offices is specific to Greenhouse and TimeSeries objects to IBM Informix — 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. Stored procedures Server-side logic sometimes invoked as part of write paths. Candidates is specific to Greenhouse and Stored procedures to IBM Informix — 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. Logical logs The transaction log that Informix's CDC interface reads committed changes from. Applications is specific to Greenhouse and Logical logs to IBM Informix — 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. Databases Top-level containers that scope a sync connection. Jobs is specific to Greenhouse and Databases to IBM Informix — each maps to any object or custom field on the other side.

How changes propagate between Greenhouse and IBM Informix

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 IBM Informix 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 IBM Informix as a row-level write, with types converted between the two schemas.

IBM Informix Greenhouse Sub-second propagation

DetectionChanges in IBM Informix are captured at the source via change data capture — no polling loop against its API. Informix's Change Data Capture API reading committed changes from logical logs.

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.
  • IBM Informix: Bounded by server resources and session limits rather than an API quota.
What ships with Greenhouse ⇄ IBM Informix

Connect Greenhouse and IBM Informix for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Greenhouse–IBM Informix connection.

Real-time

Two-way sync

Changes in Greenhouse or IBM Informix instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Greenhouse or IBM Informix 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 IBM Informix record.

Observability

Monitoring

Track your Greenhouse ⇄ IBM Informix 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 IBM Informix.

How the Greenhouse and IBM Informix 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.
Greenhouse setup guide

IBM Informix

Integration surface
SQL over JDBC/ODBC drivers; DRDA connectivity is also supported
Authentication
Database credentials
Change detection
Informix's Change Data Capture API reading committed changes from logical logs; polling as a fallback
Capabilities
read · write · CDC
Rate limits
Bounded by server resources and session limits rather than an API quota.
How it works

How to connect Greenhouse to IBM Informix — 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.

  1. 01

    Connect your apps

    Authenticate Greenhouse and IBM Informix with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Greenhouse connected
    IBM Informix connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Greenhouse and IBM Informix 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Greenhouse ⇄ IBM Informix
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Greenhouse IBM Informix
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Greenhouse and IBM Informix integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 456 integrations available for Greenhouse and IBM Informix.

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