Real-time
Two-way sync
Changes in BambooHR or Dremio instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Data warehouse
BambooHR to Dremio integration — real-time, two-way sync
Keep BambooHR and Dremio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect BambooHR and Dremio
Land the people and organization records from BambooHR in Dremio as live tables for workforce reporting, without extract jobs, and write computed results back where BambooHR can use them.
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 Dremio next to everything else the company measures.
Stacksync syncs Time Off, Employment Status, Departments and Divisions, Custom Tables from BambooHR into tables in Dremio continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Dremio, 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.
Common use cases
- 01 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- 02 Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- 03 Feed Compensation and custom-table data to a warehouse for HR analytics with field-level access control.
- 04 Sync Employees and Employment Status to identity and IT systems so new hires are provisioned and departures deactivated automatically.
Common sync patterns
HR data in the warehouse, minus the pipeline
People and organization records from BambooHR arrive in Dremio as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
Headcount and cost joined with everything else
Analysts combine BambooHR's workforce records with finance, product, or operational data already in Dremio for reporting the HR system cannot produce on its own.
Fresh data instead of last night's load
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
What you can sync between BambooHR and Dremio
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 | Dremio objects | How this pairing syncs | |
|---|---|---|---|
| Compensation Effective-dated pay rate, schedule, and change reason; read into planning and payroll systems with access restricted to authorized fields. | Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Compensation is specific to BambooHR and Physical datasets to Dremio — 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. | Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Time Off is specific to BambooHR and Virtual datasets (views) to Dremio — 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. | Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Employment Status is specific to BambooHR and Apache Iceberg tables to Dremio — 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. | Spaces and folders Namespaces that organize virtual datasets and govern access. | Departments and Divisions is specific to BambooHR and Spaces and folders to Dremio — 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. | Reflections Materialized accelerations that make repeated extraction queries cheaper. | Custom Tables is specific to BambooHR and Reflections to Dremio — 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. | Jobs Query execution records useful for monitoring sync workloads. | Reports is specific to BambooHR and Jobs to Dremio — each maps to any object or custom field on the other side. |
How changes propagate between BambooHR and Dremio
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.
BambooHR Dremio Sub-second propagation
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 Dremio as a row-level write, with types converted between the two schemas.
Dremio BambooHR Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is written to BambooHR through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- BambooHR: Requests are rate-limited per API key with standard REST throttling (429 on excess); bulk reads are best done through saved Reports or the updated-IDs delta endpoint rather than per-employee calls.
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
What ships with BambooHR ⇄ Dremio
Connect BambooHR and Dremio for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BambooHR–Dremio connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BambooHR or Dremio data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
At scale
Event queues
Handle millions of events per minute without losing a single BambooHR or Dremio record.
Observability
Monitoring
Track your BambooHR ⇄ Dremio sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between BambooHR and Dremio.
How the BambooHR and Dremio connectors work
BambooHR
- Integration surface
- 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
- Change detection
- 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
- Capabilities
- read · write · webhooks
- Rate limits
- Requests are rate-limited per API key with standard REST throttling (429 on excess); bulk reads are best done through saved Reports or the updated-IDs delta endpoint rather than per-employee calls.
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
How it works
How to connect BambooHR to Dremio — three steps, no code
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.
- 01
Connect your apps
Authenticate BambooHR and Dremio with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
BambooHR
connected
Dremio
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BambooHR and Dremio 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.
objects · BambooHR ⇄ DremioCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
BambooHR DremioCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BambooHR and Dremio integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BambooHR and Dremio: authenticate both systems, choose the objects to sync (such as BambooHR's Compensation and Time Off), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Dremio records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed BambooHR and Dremio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BambooHR–Dremio integration in-house.
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Yes — Stacksync ships production-grade connectors for both BambooHR and Dremio. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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 Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Dremio side: Physical datasets, Virtual datasets (views), Apache Iceberg tables, Spaces and folders, plus custom fields where Dremio exposes them. On the BambooHR side: Time Off, Employment Status, Departments and Divisions, Custom Tables. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams trust Stacksync
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
SSO & SCIM
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Alerts
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Secure connection options
Securely connects to your systems with:
Related integrations
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