Two-way sync
Changes in Exasol or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Keep Exasol and Greenhouse 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 Exasol next to everything else the company measures.
Stacksync syncs Users, Departments and Offices, Candidates, Applications from Greenhouse into tables in Exasol continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Exasol, 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 Exasol 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 Exasol 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 Exasol 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.
| Exasol objects | Greenhouse objects | How this pairing syncs | |
|---|---|---|---|
| Tables Primary sync target; columnar relational tables written with standard SQL. | Candidates Person records with contact details, tags, and custom fields; read and written via Harvest, often created from sourcing or enrichment pipelines. | Tables is specific to Exasol and Candidates to Greenhouse — each maps to any object or custom field on the other side. | |
| Views Read-only query surfaces often used as curated sources for reverse ETL. | Applications Links a Candidate to a Job; carries current stage, status, and source. Movable, rejectable, and hireable through Harvest write calls. | Views is specific to Exasol and Applications to Greenhouse — each maps to any object or custom field on the other side. | |
| Virtual schemas Federated views over external sources; useful for deciding what needs physical replication. | Jobs Requisitions with openings, hiring team, departments, and offices; created and patched via Harvest, read out for funnel and time-to-fill reporting. | Virtual schemas is specific to Exasol and Jobs to Greenhouse — each maps to any object or custom field on the other side. | |
| UDF scripts In-database functions that can transform synced data after load. | Offers Offer records tied to an Application with status and custom offer fields; readable and patchable, commonly synced to HRIS on hire. | UDF scripts is specific to Exasol and Offers to Greenhouse — each maps to any object or custom field on the other side. | |
| Users and roles Grant read/write access for the dedicated integration account. | Scorecards Interviewer feedback and ratings tied to interviews; read-only in Harvest, exported to a warehouse for interview analytics. | Users and roles is specific to Exasol and Scorecards to Greenhouse — each maps to any object or custom field on the other side. | |
| Schemas Namespaces that group the tables a sync reads from or writes into. | Scheduled Interviews Interview events with interviewers, times, and rooms; full create/update/delete support for calendar and reporting syncs. | Schemas is specific to Exasol and Scheduled Interviews to Greenhouse — 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.
DetectionStacksync polls Exasol for changes on an incremental schedule, reading only records changed since the previous pass. Polling with timestamp or key columns.
DeliveryEach detected change is written to Greenhouse through its API, with automatic retries and rate-limit backoff.
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 Exasol as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Exasol–Greenhouse connection.
Changes in Exasol or Greenhouse instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Exasol or Greenhouse data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Exasol or Greenhouse record.
Track your Exasol ⇄ Greenhouse sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Exasol and Greenhouse.
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 Exasol and Greenhouse 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 Exasol and Greenhouse 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 Exasol and Greenhouse: authenticate both systems, choose the objects to sync (such as Exasol's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Exasol and Greenhouse connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Exasol–Greenhouse integration in-house.
Yes — Stacksync ships production-grade connectors for both Exasol and Greenhouse. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Exasol: Polling with timestamp or key columns; Exasol does not expose a transaction-log change feed to clients. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Exasol side: Virtual schemas, UDF scripts, Users and roles, Schemas, plus custom fields where Exasol exposes them. On the Greenhouse side: Users, Departments and Offices, Candidates, Applications. 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.
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 432 integrations available for Exasol and Greenhouse.