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Human resources ⇄ Data warehouse

Greenhouse to Teradata Vantage integration — real-time, two-way sync

Keep Greenhouse and Teradata Vantage 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 Teradata Vantage

Land the people and organization records from Greenhouse in Teradata Vantage as live tables for workforce reporting, without extract jobs, and write computed results back where Greenhouse can use them.

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 Teradata Vantage next to everything else the company measures.

Stacksync syncs Scorecards, Scheduled Interviews, Users, Departments and Offices from Greenhouse into tables in Teradata Vantage continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Teradata Vantage, 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.

Common use cases

  • 01 Sync curated Vantage tables into a CRM so frontline teams act on warehouse-computed customer attributes
  • 02 Land SaaS and ERP data into Vantage to join with existing enterprise history
  • 03 Two-way sync Candidates and Applications with Postgres so recruiting-ops apps read and update stage, status, and custom fields in SQL while recruiters stay in Greenhouse.
  • 04 Write enriched or sourced Candidates from external tools into Greenhouse and keep contact fields refreshed as data changes.

Common sync patterns

Queryable history for planning and audit

A continuously synced copy in Teradata Vantage gives you a durable, queryable record of how Greenhouse's records change over time, for headcount planning and audit questions.

Write-back of computed values

Segments, rollups, or risk flags computed in Teradata Vantage sync back onto the matching records in Greenhouse, where the HR team sees them in the system they already use.

HR data in the warehouse, minus the pipeline

People and organization records from Greenhouse arrive in Teradata Vantage as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.

What you can sync between Greenhouse and Teradata Vantage

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 Teradata Vantage objects How this pairing syncs
Users Greenhouse users (recruiters, hiring managers); read and written, and referenced by the On-Behalf-Of header on every write. Users In Teradata, users are databases with a password, and they own objects and space. Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions.
Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. Tables The primary sync unit for both extraction and loading. Scorecards is specific to Greenhouse and Tables to Teradata Vantage — 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. Views The conventional access layer in Teradata shops; syncs often read views rather than base tables. Scheduled Interviews is specific to Greenhouse and Views to Teradata Vantage — 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. Macros Stored parameterized SQL that encapsulates repeatable reads. Departments and Offices is specific to Greenhouse and Macros to Teradata Vantage — 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 load workflows. Candidates is specific to Greenhouse and Stored procedures to Teradata Vantage — 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. Columns Teradata SQL types mapped to the paired system's field types during sync. Applications is specific to Greenhouse and Columns to Teradata Vantage — each maps to any object or custom field on the other side.

How changes propagate between Greenhouse and Teradata Vantage

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 Teradata Vantage 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 Teradata Vantage as a row-level write, with types converted between the two schemas.

Teradata Vantage Greenhouse Interval-based propagation

DetectionStacksync polls Teradata Vantage for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.

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.
  • Teradata Vantage: Concurrency is governed by workload management rules on the system rather than API quotas.
What ships with Greenhouse ⇄ Teradata Vantage

Connect Greenhouse and Teradata Vantage for flexible, real-time data sync.

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Greenhouse or Teradata Vantage 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 Teradata Vantage record.

Observability

Monitoring

Track your Greenhouse ⇄ Teradata Vantage 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 Teradata Vantage.

How the Greenhouse and Teradata Vantage 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

Teradata Vantage

Integration surface
ANSI SQL over JDBC/ODBC/.NET drivers; REST access available through Teradata's query service
Authentication
Database credentials; LDAP or Kerberos in enterprise deployments
Change detection
Query-based polling; the SQL surface exposes no externally consumable change log
Capabilities
read · write
Rate limits
Concurrency is governed by workload management rules on the system rather than API quotas
How it works

How to connect Greenhouse to Teradata Vantage — 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 Teradata Vantage 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
    Teradata Vantage connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Greenhouse and Teradata Vantage 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 ⇄ Teradata Vantage
    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 Teradata Vantage
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Greenhouse and Teradata Vantage integration FAQ

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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 439 integrations available for Greenhouse and Teradata Vantage.

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