Two-way sync
Changes in BambooHR or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Keep BambooHR and Dynamo DB 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. Dynamo 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 Attributes, Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams in Dynamo 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 Attributes, Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams in Dynamo 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.
Records maintained in BambooHR land as queryable Attributes, Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams in Dynamo DB, so internal apps and dashboards read live data instead of a periodic export.
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 Dynamo DB where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
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 | Dynamo DB objects | How this pairing syncs | |
|---|---|---|---|
| Reports Saved company reports retrievable via API; read out on a schedule to feed a warehouse without rebuilding field-by-field queries. | Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | Reports is specific to BambooHR and Partition and Sort Keys to Dynamo DB — 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. | Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | Employees is specific to BambooHR and Global Secondary Indexes to Dynamo DB — 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. | DynamoDB Streams Ordered item-level change records consumed for incremental sync. | Job Information is specific to BambooHR and DynamoDB Streams to Dynamo DB — 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. | Global Tables Multi-region replicas relevant when syncs must read from a specific region. | Compensation is specific to BambooHR and Global Tables to Dynamo DB — 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. | Tables The top-level containers a sync targets; each table is addressed independently. | Time Off is specific to BambooHR and Tables to Dynamo DB — 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. | Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | Employment Status is specific to BambooHR and Items to Dynamo DB — 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 Dynamo DB as a row-level write, with types converted between the two schemas.
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
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–Dynamo DB connection.
Changes in BambooHR or Dynamo DB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever BambooHR or Dynamo DB 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 Dynamo DB record.
Track your BambooHR ⇄ Dynamo DB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between BambooHR and Dynamo DB.
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 Dynamo DB 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 Dynamo DB 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 Dynamo DB: authenticate both systems, choose the objects to sync (such as BambooHR's Reports and Employees), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both BambooHR and Dynamo DB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Dynamo DB side: Attributes, Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams, plus custom fields where Dynamo 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.
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 Dynamo DB: Mirror people records into the database; One directory of record; Reporting and analytics on current data. Records maintained in BambooHR land as queryable Attributes, Partition and Sort Keys, Global Secondary Indexes, DynamoDB Streams in Dynamo DB, so internal apps and dashboards read live data instead of a periodic export.
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 358 integrations available for BambooHR and Dynamo DB.