Two-way sync
Changes in BambooHR or Materialize instantly reflect in both systems. No stale data, no manual imports.
Keep BambooHR and Materialize 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 BambooHR is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Materialize next to everything else the company measures.
Stacksync syncs Compensation, Time Off, Employment Status, Departments and Divisions from BambooHR into tables in Materialize continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Materialize, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in BambooHR where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
Analysts combine BambooHR's workforce records with finance, product, or operational data already in Materialize for reporting the HR system cannot produce on its own.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in Materialize gives you a durable, queryable record of how BambooHR's records change over time, for headcount planning and audit questions.
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 | Materialize objects | How this pairing syncs | |
|---|---|---|---|
| Employment Status Effective-dated hire, leave, and termination status; drives automated provisioning and deprovisioning in downstream identity and license systems. | Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Employment Status is specific to BambooHR and Connections & Secrets to Materialize — 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. | Schemas & Databases Namespaces that organize objects a sync targets. | Departments and Divisions is specific to BambooHR and Schemas & Databases to Materialize — each maps to any object or custom field on the other side. | |
| Custom Tables Company-specific effective-dated tables (assets, training, certifications); rows read and written so custom HR data isn't trapped in the HRIS. | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Custom Tables is specific to BambooHR and Tables to Materialize — each maps to any object or custom field on the other side. | |
| Reports Saved company reports retrievable via API; read out on a schedule to feed a warehouse without rebuilding field-by-field queries. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Reports is specific to BambooHR and Sources to Materialize — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Employees is specific to BambooHR and Materialized Views to Materialize — 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. | Sinks Outbound connections that emit view changes to Kafka topics. | Job Information is specific to BambooHR and Sinks to Materialize — 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 Materialize as a row-level write, with types converted between the two schemas.
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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–Materialize connection.
Changes in BambooHR or Materialize instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BambooHR or Materialize 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 Materialize record.
Track your BambooHR ⇄ Materialize sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BambooHR and Materialize.
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 Materialize 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 Materialize 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 Materialize: authenticate both systems, choose the objects to sync (such as BambooHR's Employment Status and Departments and Divisions), map fields visually, and changes propagate both ways in milliseconds — no code required.
BambooHR: BambooHR API (REST, per-company subdomain). Authentication: API key per user over HTTP Basic auth (key as username), scoped to that user's permission level in BambooHR; OAuth/OpenID available for SSO-enabled apps. Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Stacksync manages authentication, retries, and rate limits on both sides.
Materialize: It ingests CDC from Postgres and MySQL and streams from Kafka as first-class sources. BambooHR: Each account lives on a company subdomain (companyname.bamboohr.com) that is part of every API URL. Stacksync's field mapping accounts for these differences between BambooHR and Materialize without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means BambooHR and Materialize records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed BambooHR and Materialize connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BambooHR–Materialize integration in-house.
Yes — Stacksync ships production-grade connectors for both BambooHR and Materialize. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 345 integrations available for BambooHR and Materialize.