Two-way sync
Changes in BambooHR or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Keep BambooHR and Oracle DB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
BambooHR is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Oracle DB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employees, Job Information, Compensation, Time Off in BambooHR need to exist as queryable PL/SQL procedures and packages, Partitions, JSON columns, Tables in Oracle DB 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 PL/SQL procedures and packages, Partitions, JSON columns, Tables in Oracle DB with Employees, Job Information, Compensation, Time Off in BambooHR field by field, in real time. You decide which system owns which fields — BambooHR 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 BambooHR stay consistent in Oracle DB, so hierarchy-driven logic and permissions don't drift.
Values assembled or corrected in Oracle DB write onto the matching record in BambooHR where those fields are writable, keeping the people system enriched.
Records maintained in BambooHR land as queryable PL/SQL procedures and packages, Partitions, JSON columns, Tables in Oracle DB, 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.
| BambooHR objects | Oracle DB objects | How this pairing syncs | |
|---|---|---|---|
| Employees The core person record with personal and work fields; read out to identity, payroll, and IT systems, and written back from recruiting or onboarding tools. | Sequences Key generators to respect when external systems insert rows | Employees is specific to BambooHR and Sequences to Oracle DB — each maps to any object or custom field on the other side. | |
| Job Information Effective-dated job title, department, division, location, and reporting line; synced so org charts and provisioning systems track internal moves. | PL/SQL procedures and packages In-database logic that can consume or transform synced data | Job Information is specific to BambooHR and PL/SQL procedures and packages to Oracle DB — each maps to any object or custom field on the other side. | |
| Compensation Effective-dated pay rate, schedule, and change reason; read into planning and payroll systems with access restricted to authorized fields. | Partitions Physical subdivisions relevant when replicating high-volume tables | Compensation is specific to BambooHR and Partitions to Oracle DB — each maps to any object or custom field on the other side. | |
| Time Off Requests, balances, and policies; read for absence calendars and capacity planning, with approved requests written from an external scheduling tool. | JSON columns Document data stored in the converged engine and synced alongside relational rows | Time Off is specific to BambooHR and JSON columns to Oracle DB — each maps to any object or custom field on the other side. | |
| Employment Status Effective-dated hire, leave, and termination status; drives automated provisioning and deprovisioning in downstream identity and license systems. | Tables The primary read/write surface for row-level sync over SQL | Employment Status is specific to BambooHR and Tables to Oracle DB — each maps to any object or custom field on the other side. | |
| Departments and Divisions Org-structure list values; synced to keep cost centers and team groupings consistent across ERP, identity, and analytics systems. | Views Curated read-only projections exposed to downstream consumers | Departments and Divisions is specific to BambooHR and Views to Oracle DB — 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.
DetectionBambooHR notifies Stacksync of record changes through webhook events. The Get Updated Employee IDs endpoint (last-changed timestamps) returns employees inserted, updated, or deleted since a cursor for efficient polling.
DeliveryEach detected change is applied to Oracle DB as a row-level write, with types converted between the two schemas.
DetectionChanges in Oracle DB are captured at the source via change data capture — no polling loop against its API. Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling.
DeliveryEach detected change is written to BambooHR through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BambooHR–Oracle DB connection.
Changes in BambooHR or Oracle DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BambooHR or Oracle DB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single BambooHR or Oracle DB record.
Track your BambooHR ⇄ Oracle DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BambooHR and Oracle DB.
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 BambooHR and Oracle DB 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 BambooHR and Oracle DB 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 BambooHR and Oracle DB: authenticate both systems, choose the objects to sync (such as BambooHR's Employees and Job Information), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both BambooHR and Oracle DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on BambooHR: The Get Updated Employee IDs endpoint (last-changed timestamps) returns employees inserted, updated, or deleted since a cursor for efficient polling; webhooks can fire on monitored field changes. On Oracle DB: Log-based CDC from redo logs via LogMiner or GoldenGate, or trigger and timestamp polling. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Oracle DB side: PL/SQL procedures and packages, Partitions, JSON columns, Tables, plus custom fields where Oracle DB exposes them. On the BambooHR side: Employees, Job Information, Compensation, Time Off. 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 BambooHR and Oracle DB: Org and structure stay aligned; Computed and operational fields flow back; Mirror people records into the database. Groups, departments, managers, and reporting lines from BambooHR stay consistent in Oracle DB, so hierarchy-driven logic and permissions don't drift.
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.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 366 integrations available for BambooHR and Oracle DB.