Two-way sync
Changes in BambooHR or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Keep BambooHR and Firebolt 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 Firebolt next to everything else the company measures.
Stacksync syncs Custom Tables, Reports, Employees, Job Information from BambooHR into tables in Firebolt continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Firebolt, 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.
Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
A continuously synced copy in Firebolt gives you a durable, queryable record of how BambooHR's records change over time, for headcount planning and audit questions.
Segments, rollups, or risk flags computed in Firebolt sync back onto the matching records in BambooHR, where the HR team sees them in the system they already use.
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 | Firebolt objects | How this pairing syncs | |
|---|---|---|---|
| Job Information Effective-dated job title, department, division, location, and reporting line; synced so org charts and provisioning systems track internal moves. | External tables References to files in object storage used to stage bulk loads. | Job Information is specific to BambooHR and External tables to Firebolt — 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. | Views Curated query surfaces commonly used as sources for reverse ETL. | Compensation is specific to BambooHR and Views to Firebolt — 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. | Aggregating indexes Precomputed rollups maintained at write time; incremental loads update them automatically. | Time Off is specific to BambooHR and Aggregating indexes to Firebolt — 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. | Engines Compute resources that must be running for a sync to read or write. | Employment Status is specific to BambooHR and Engines to Firebolt — 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. | Databases Logical containers holding the tables a sync targets. | Departments and Divisions is specific to BambooHR and Databases to Firebolt — 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 Managed columnar tables written with SQL; the main sync destination. | Custom Tables is specific to BambooHR and Tables to Firebolt — 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 Firebolt as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Firebolt for changes on an incremental schedule, reading only records changed since the previous pass. 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–Firebolt connection.
Changes in BambooHR or Firebolt instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BambooHR or Firebolt 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 Firebolt record.
Track your BambooHR ⇄ Firebolt sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BambooHR and Firebolt.
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 Firebolt 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 Firebolt 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 Firebolt: authenticate both systems, choose the objects to sync (such as BambooHR's Job Information and Compensation), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Firebolt: Fresh data instead of last night's load; Queryable history for planning and audit; Write-back of computed values. Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.
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. Firebolt: SQL over a REST API, with JDBC, Python, and Node.js SDKs. Authentication: Service account credentials (client ID and secret) exchanged for OAuth 2.0 tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Firebolt: Aggregating indexes precompute rollups at write time, which changes how incremental loads surface in query results. BambooHR: The API is scoped by the key owner's BambooHR permissions — a sync sees exactly the fields that user can see, so a dedicated service account with a tailored access level is the reliable pattern. Stacksync's field mapping accounts for these differences between BambooHR and Firebolt 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 Firebolt records are not retained after a sync operation.
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 349 integrations available for BambooHR and Firebolt.