Two-way sync
Changes in Amazon RDS or Hibob instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Hibob in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Hibob is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Amazon RDS is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Work, Salaries, Time off, Lifecycle in Hibob need to exist as queryable Tables, Views, Columns, Primary and Unique Keys in Amazon RDS 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 Tables, Views, Columns, Primary and Unique Keys in Amazon RDS with Work, Salaries, Time off, Lifecycle in Hibob field by field, in real time. You decide which system owns which fields — Hibob 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.
Work, Salaries, Time off, Lifecycle replicate into Amazon RDS where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Groups, departments, managers, and reporting lines from Hibob stay consistent in Amazon RDS, so hierarchy-driven logic and permissions don't drift.
Values assembled or corrected in Amazon RDS write onto the matching record in Hibob where those fields are writable, keeping the people system enriched.
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.
| Amazon RDS objects | Hibob objects | How this pairing syncs | |
|---|---|---|---|
| Columns Field-level mapping targets, typed per the underlying engine. | Documents Employee documents accessed under the Docs API; gated behind the Documents permission granted per service user. | Columns is specific to Amazon RDS and Documents to Hibob — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | Named lists Dropdown option lists such as departments and sites used to resolve field values when mapping People records during sync. | Primary and Unique Keys is specific to Amazon RDS and Named lists to Hibob — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | People (Employees) Core employee records with out-of-the-box and custom fields; read via POST /people/search, created and updated through the /people endpoints. | Read Replicas is specific to Amazon RDS and People (Employees) to Hibob — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Employment Historical table of job terms, contract, and working pattern under /people/{id}/employment; full CRUD, entries keyed by effectiveDate. | Stored Procedures is specific to Amazon RDS and Employment to Hibob — each maps to any object or custom field on the other side. | |
| Databases Engine-level databases on the instance that scope a sync's reads and writes. | Work Reporting line, department, site, and title under /people/{id}/work; drives the org chart and is synced two-way to directories. | Databases is specific to Amazon RDS and Work to Hibob — each maps to any object or custom field on the other side. | |
| Schemas Namespaces within a database used to isolate synced tables. | Salaries Compensation history at /people/{id}/salaries; full CRUD but gated behind the Payroll permission on the service user. | Schemas is specific to Amazon RDS and Salaries to Hibob — 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.
DetectionChanges in Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Hibob through its API, with automatic retries and rate-limit backoff.
DetectionHibob notifies Stacksync of record changes through webhook events. Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Hibob connection.
Changes in Amazon RDS or Hibob instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Hibob data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or Hibob record.
Track your Amazon RDS ⇄ Hibob sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Hibob.
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 Amazon RDS and Hibob 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 Amazon RDS and Hibob 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 Amazon RDS and Hibob: authenticate both systems, choose the objects to sync (such as Amazon RDS's Columns and Primary and Unique Keys), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on Amazon RDS: Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC; enabled through RDS parameter groups, with polling as a fallback. On Hibob: Webhooks fire for employee created/updated/deleted, table-entry created/updated, time off, and lifecycle events; the employee.updated payload flags which fields changed and Bob recommends an API call for the full record. There is no CDC stream, and deleting a table entry fires no webhook (Bob has no table-entry deletion event). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Amazon RDS side: Tables, Views, Columns, Primary and Unique Keys, plus custom fields where Amazon RDS exposes them. On the Hibob side: Work, Salaries, Time off, Lifecycle. 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 Amazon RDS and Hibob: Reporting and analytics on current data; Org and structure stay aligned; Computed and operational fields flow back. Work, Salaries, Time off, Lifecycle replicate into Amazon RDS where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Amazon RDS: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle). Authentication: Database credentials over SSL/TLS, or IAM database authentication on supported engines. Hibob: REST API (the Bob API). Authentication: Service User credentials over HTTP Basic auth (Base64-encoded serviceUserId:serviceUserToken); permissions granted per data category (People, Payroll, Documents) in Bob admin. Stacksync manages authentication, retries, and rate limits on both sides.
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 454 integrations available for Amazon RDS and Hibob.