Two-way sync
Changes in Greenhouse or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Keep Greenhouse and SAP Hana in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Greenhouse is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. SAP Hana 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 System views (SYS schema), Column store tables, Row store tables, Calculation views in SAP Hana 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 System views (SYS schema), Column store tables, Row store tables, Calculation views in SAP Hana 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.
Groups, departments, managers, and reporting lines from Greenhouse stay consistent in SAP Hana, so hierarchy-driven logic and permissions don't drift.
Values assembled or corrected in SAP Hana write onto the matching record in Greenhouse where those fields are writable, keeping the people system enriched.
Records maintained in Greenhouse land as queryable System views (SYS schema), Column store tables, Row store tables, Calculation views in SAP Hana, so internal apps and dashboards read live data instead of a periodic export.
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 | SAP Hana 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. | Row store tables OLTP-oriented tables held fully in memory; read and written the same way through the SAP HANA client for high-write operational tables. | Candidates is specific to Greenhouse and Row store tables to SAP Hana — 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. | Calculation views Modeled analytic views over base tables; read-only sources for pushing aggregated or joined results into a warehouse or downstream app. | Applications is specific to Greenhouse and Calculation views to SAP Hana — 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. | SQL views Standard database views; read-only projections synced outbound when the source data should not be exposed as raw base tables. | Jobs is specific to Greenhouse and SQL views to SAP Hana — 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. | Schemas Namespaces that group tables and views; the connector targets a schema and enumerates its objects from the catalog to build the sync. | Offers is specific to Greenhouse and Schemas to SAP Hana — 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. | Sequences Server-generated key values; relevant when writing rows into tables whose identity is assigned HANA-side rather than by the source system. | Scorecards is specific to Greenhouse and Sequences to SAP Hana — 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. | Triggers AFTER INSERT/UPDATE/DELETE triggers capture changes into a shadow/logging table so updates and deletes are detected near-real-time without full scans. | Scheduled Interviews is specific to Greenhouse and Triggers to SAP Hana — 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 SAP Hana as a row-level write, with types converted between the two schemas.
DetectionChanges in SAP Hana are captured at the source via change data capture — no polling loop against its API. Polling on a last-modified timestamp column, or AFTER INSERT/UPDATE/DELETE triggers writing to a shadow table.
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–SAP Hana connection.
Changes in Greenhouse or SAP Hana instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Greenhouse or SAP Hana 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 SAP Hana record.
Track your Greenhouse ⇄ SAP Hana sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Greenhouse and SAP Hana.
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 SAP Hana 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 SAP Hana 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 SAP Hana: 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.
On the SAP Hana side: System views (SYS schema), Column store tables, Row store tables, Calculation views, plus custom fields where SAP Hana exposes them. On the Greenhouse side: Jobs, Offers, Scorecards, Scheduled Interviews. 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 SAP Hana: 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 SAP Hana, 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. SAP Hana: SQL over the SAP HANA client (JDBC/ODBC drivers); OData/REST via XS for app-layer access. Authentication: Dedicated database user credentials over an encrypted TLS connection (password sent hashed); Kerberos, SAML, JWT, and X.509 certificate authentication are also supported. SAP HANA Cloud enforces TLS and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
SAP Hana: Connections are governed by workload classes and admission control, so heavy sync concurrency competes with production query load and can be throttled by memory and thread caps. Greenhouse: Harvest API keys are permission-scoped per endpoint, so a sync only reaches the objects the key is explicitly granted. Stacksync's field mapping accounts for these differences between Greenhouse and SAP Hana 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.
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Every pair below is a real-time, two-way sync. Search all 540 integrations available for Greenhouse and SAP Hana.