Two-way sync
Changes in Azure Cosmos DB or BambooHR instantly reflect in both systems. No stale data, no manual imports.
Keep Azure Cosmos DB and BambooHR in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
BambooHR is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Azure Cosmos DB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Custom Tables, Reports, Employees, Job Information in BambooHR need to exist as queryable Stored procedures and triggers, Databases, Containers, Items (JSON documents) in Azure Cosmos DB 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 Stored procedures and triggers, Databases, Containers, Items (JSON documents) in Azure Cosmos DB with Custom Tables, Reports, Employees, Job Information in BambooHR field by field, in real time. You decide which system owns which fields — BambooHR 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.
When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
Custom Tables, Reports, Employees, Job Information replicate into Azure Cosmos DB 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 BambooHR stay consistent in Azure Cosmos DB, so hierarchy-driven logic and permissions don't drift.
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.
| Azure Cosmos DB objects | BambooHR objects | How this pairing syncs | |
|---|---|---|---|
| Partition keys Determine data distribution and must be included on writes for the sync to route items correctly. | Time Off Requests, balances, and policies; read for absence calendars and capacity planning, with approved requests written from an external scheduling tool. | Partition keys is specific to Azure Cosmos DB and Time Off to BambooHR — each maps to any object or custom field on the other side. | |
| Change feed entries Ordered record of inserts and updates per partition, consumed for incremental sync. | Employment Status Effective-dated hire, leave, and termination status; drives automated provisioning and deprovisioning in downstream identity and license systems. | Change feed entries is specific to Azure Cosmos DB and Employment Status to BambooHR — each maps to any object or custom field on the other side. | |
| Stored procedures and triggers Server-side logic scoped to a partition; relevant when writes must respect existing validation. | Departments and Divisions Org-structure list values; synced to keep cost centers and team groupings consistent across ERP, identity, and analytics systems. | Stored procedures and triggers is specific to Azure Cosmos DB and Departments and Divisions to BambooHR — each maps to any object or custom field on the other side. | |
| Databases Top-level namespaces that scope containers and throughput provisioning. | Custom Tables Company-specific effective-dated tables (assets, training, certifications); rows read and written so custom HR data isn't trapped in the HRIS. | Databases is specific to Azure Cosmos DB and Custom Tables to BambooHR — each maps to any object or custom field on the other side. | |
| Containers The unit of partitioning and throughput; each container maps to a synced collection. | Reports Saved company reports retrievable via API; read out on a schedule to feed a warehouse without rebuilding field-by-field queries. | Containers is specific to Azure Cosmos DB and Reports to BambooHR — each maps to any object or custom field on the other side. | |
| Items (JSON documents) Schema-flexible JSON records read and written during sync; nested structures are flattened or mapped as needed. | 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. | Items (JSON documents) is specific to Azure Cosmos DB and Employees to BambooHR — 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 Azure Cosmos DB are captured at the source via change data capture — no polling loop against its API. Built-in change feed exposing inserts and updates in order within each partition key range.
DeliveryEach detected change is written to BambooHR through its API, with automatic retries and rate-limit backoff.
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 Azure Cosmos DB as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure Cosmos DB–BambooHR connection.
Changes in Azure Cosmos DB or BambooHR instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure Cosmos DB or BambooHR data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure Cosmos DB or BambooHR record.
Track your Azure Cosmos DB ⇄ BambooHR sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure Cosmos DB and BambooHR.
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 Azure Cosmos DB and BambooHR 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 Azure Cosmos DB and BambooHR 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 Azure Cosmos DB and BambooHR: authenticate both systems, choose the objects to sync (such as Azure Cosmos DB's Partition keys and Change feed entries), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Azure Cosmos DB and BambooHR records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure Cosmos DB and BambooHR connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure Cosmos DB–BambooHR integration in-house.
Yes — Stacksync ships production-grade connectors for both Azure Cosmos DB and BambooHR. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Azure Cosmos DB: Built-in change feed exposing inserts and updates in order within each partition key range. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Azure Cosmos DB side: Stored procedures and triggers, Databases, Containers, Items (JSON documents), plus custom fields where Azure Cosmos DB exposes them. On the BambooHR side: Custom Tables, Reports, Employees, Job Information. Stacksync auto-detects both schemas and converts types between the two systems.
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 Azure Cosmos DB and BambooHR.