Real-time
Two-way sync
Changes in BambooHR or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
BambooHR to Redis Enterprise integration — real-time, two-way sync
Keep BambooHR and Redis Enterprise in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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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 Redis Enterprise
Put your workforce data where your apps can reach it: Redis Enterprise and BambooHR share the same people, positions, and org structure in real time.
BambooHR is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Redis Enterprise is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Employees, Job Information, Compensation, Time Off in BambooHR need to exist as queryable Sets, Sorted Sets, Lists, Streams in Redis Enterprise 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 Sets, Sorted Sets, Lists, Streams in Redis Enterprise with Employees, Job Information, Compensation, Time Off 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.
Common use cases
- 01 Sync Postgres reference tables into RedisJSON documents that power API responses and personalization lookups.
- 02 Publish record-change events into Redis Streams so microservices react to upstream CRM updates without polling.
- 03 Sync Employees and Employment Status to identity and IT systems so new hires are provisioned and departures deactivated automatically.
- 04 Read Job Information and Departments into an ERP or planning tool so headcount, cost centers, and org structure stay current.
Common sync patterns
Reporting and analytics on current data
Employees, Job Information, Compensation, Time Off replicate into Redis Enterprise where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.
Org and structure stay aligned
Groups, departments, managers, and reporting lines from BambooHR stay consistent in Redis Enterprise, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in Redis Enterprise write onto the matching record in BambooHR where those fields are writable, keeping the people system enriched.
What you can sync between BambooHR and Redis Enterprise
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 | Redis Enterprise objects | How this pairing syncs | |
|---|---|---|---|
| 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. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | Employees is specific to BambooHR and JSON documents to Redis Enterprise — 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. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | Job Information is specific to BambooHR and Sets to Redis Enterprise — 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. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | Compensation is specific to BambooHR and Sorted Sets to Redis Enterprise — 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. | Lists Ordered sequences often used as lightweight queues fed by sync events. | Time Off is specific to BambooHR and Lists to Redis Enterprise — 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. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | Employment Status is specific to BambooHR and Streams to Redis Enterprise — 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. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. | Departments and Divisions is specific to BambooHR and Pub/Sub channels to Redis Enterprise — each maps to any object or custom field on the other side. |
How changes propagate between BambooHR and Redis Enterprise
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 Redis Enterprise 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 Redis Enterprise as a row-level write, with types converted between the two schemas.
Redis Enterprise BambooHR Interval-based propagation
DetectionStacksync polls Redis Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Keyspace notifications over pub/sub or reads from Redis Streams.
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.
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
What ships with BambooHR ⇄ Redis Enterprise
Connect BambooHR and Redis Enterprise for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BambooHR–Redis Enterprise connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BambooHR or Redis Enterprise 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 Redis Enterprise record.
Observability
Monitoring
Track your BambooHR ⇄ Redis Enterprise 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 Redis Enterprise.
How the BambooHR and Redis Enterprise 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.
Redis Enterprise
- Integration surface
- Redis wire protocol (RESP) via client libraries; separate REST API for cluster management
- Authentication
- Password or ACL-based credentials, typically over TLS
- Change detection
- Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data
- Capabilities
- read · write
- Rate limits
- Throughput is bounded by provisioned cluster capacity rather than published API rate limits
How it works
How to connect BambooHR to Redis Enterprise — 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 Redis Enterprise 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
Redis Enterprise
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BambooHR and Redis Enterprise 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 ⇄ Redis EnterpriseCustomers 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 Redis EnterpriseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BambooHR and Redis Enterprise integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between BambooHR and Redis Enterprise: authenticate both systems, choose the objects to sync (such as BambooHR's Employees and Job Information), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Redis Enterprise: Redis Enterprise adds clustering, tiered storage, and Active-Active geo-replication (CRDT-based) on top of open-source Redis. 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 Redis Enterprise without custom code.
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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 Redis Enterprise 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 Redis Enterprise connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BambooHR–Redis Enterprise integration in-house.
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Yes — Stacksync ships production-grade connectors for both BambooHR and Redis Enterprise. 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 Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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
Every pair below is a real-time, two-way sync. Search all 342 integrations available for BambooHR and Redis Enterprise.
Popular · 7 of 342
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