Two-way sync
Changes in BambooHR or Vertica instantly reflect in both systems. No stale data, no manual imports.
Keep BambooHR and Vertica 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 Vertica next to everything else the company measures.
Stacksync syncs Job Information, Compensation, Time Off, Employment Status from BambooHR into tables in Vertica continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Vertica, 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 Vertica 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 Vertica 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 | Vertica 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. | Projections Sorted, encoded physical copies of table data that the optimizer selects at query time; they affect load and query behavior rather than being addressed directly. | Compensation is specific to BambooHR and Projections to Vertica — 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. | Views Logical views used to shape reads for downstream consumers. | Time Off is specific to BambooHR and Views to Vertica — 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. | Flex Tables Schema-flexible tables for semi-structured JSON data landed before modeling. | Employment Status is specific to BambooHR and Flex Tables to Vertica — 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. | External Tables Data queried in place on files or object storage without loading. | Departments and Divisions is specific to BambooHR and External Tables to Vertica — 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. | Schemas Namespaces used to organize synced datasets by domain or source. | Custom Tables is specific to BambooHR and Schemas to Vertica — 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. | Tables Columnar tables; the primary read and write targets for syncs. | Reports is specific to BambooHR and Tables to Vertica — 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 Vertica as a row-level write, with types converted between the two schemas.
DetectionStacksync polls Vertica for changes on an incremental schedule, reading only records changed since the previous pass. No exposed transaction-log CDC.
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–Vertica connection.
Changes in BambooHR or Vertica instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BambooHR or Vertica 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 Vertica record.
Track your BambooHR ⇄ Vertica sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BambooHR and Vertica.
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 Vertica 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 Vertica 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 Vertica: 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.
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 Vertica: Headcount and cost joined with everything else; Fresh data instead of last night's load; Queryable history for planning and audit. Analysts combine BambooHR's workforce records with finance, product, or operational data already in Vertica for reporting the HR system cannot produce on its own.
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. Vertica: SQL over JDBC, ODBC, and ADO.NET drivers. Authentication: Database credentials, with LDAP, Kerberos, and OAuth options in enterprise deployments. Stacksync manages authentication, retries, and rate limits on both sides.
Vertica: Eon mode separates compute from communal object storage, letting subclusters scale independently of the data. 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 Vertica 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 Vertica 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 346 integrations available for BambooHR and Vertica.