Real-time
Two-way sync
Changes in Redis Enterprise or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
Redis Enterprise to Success Factors integration — real-time, two-way sync
Keep Redis Enterprise and Success Factors in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from MuleSoft
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Migrated from Matillion
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Redis Enterprise and Success Factors
Put your workforce data where your apps can reach it: Redis Enterprise and Success Factors share the same people, positions, and org structure in real time.
Success Factors 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: Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone, User in Success Factors need to exist as queryable Hashes, JSON documents, Sets, Sorted Sets 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 Hashes, JSON documents, Sets, Sorted Sets in Redis Enterprise with Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone, User in Success Factors field by field, in real time. You decide which system owns which fields — Success Factors 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 Two-way sync of User and EmpJob (position, department, manager, cost center) into Postgres so provisioning, internal apps, and analytics read current org data in SQL while HR edits in SuccessFactors.
- 04 Push new hires (PerPerson, EmpEmployment, EmpJob) into an ERP or payroll system so account, cost-center, and payroll setup fire on hire instead of manual Integration Center exports.
Common sync patterns
Org and structure stay aligned
Groups, departments, managers, and reporting lines from Success Factors 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 Success Factors where those fields are writable, keeping the people system enriched.
Mirror people records into the database
Records maintained in Success Factors land as queryable Hashes, JSON documents, Sets, Sorted Sets in Redis Enterprise, so internal apps and dashboards read live data instead of a periodic export.
What you can sync between Redis Enterprise and Success Factors
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.
| Redis Enterprise objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Search indexes Secondary indexes (RediSearch) that make synced hashes and JSON documents queryable. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Search indexes is specific to Redis Enterprise and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. | |
| Keys (Strings) Simple key-value pairs used to cache individual synced records or lookup values. | User Core identity/User entity behind role-based permissions; a model distinct from Employee Central, synced two-way with a directory or IdP and downstream apps. | Keys (Strings) is specific to Redis Enterprise and User to Success Factors — each maps to any object or custom field on the other side. | |
| Hashes Field-value maps that commonly hold one synced row per hash, keyed by record ID. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Hashes is specific to Redis Enterprise and PerPerson to Success Factors — each maps to any object or custom field on the other side. | |
| JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | JSON documents is specific to Redis Enterprise and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. | |
| Sets Unordered unique-member collections used for membership checks like segment or ID lists. | EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Sets is specific to Redis Enterprise and EmpJob to Success Factors — each maps to any object or custom field on the other side. | |
| Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Sorted Sets is specific to Redis Enterprise and EmpCompensation to Success Factors — each maps to any object or custom field on the other side. |
How changes propagate between Redis Enterprise and Success Factors
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.
Redis Enterprise Success Factors 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 Success Factors through its API, with automatic retries and rate-limit backoff.
Success Factors Redis Enterprise Sub-second propagation
DetectionSuccess Factors notifies Stacksync of record changes through webhook events. Polling on each entity's lastModifiedDateTime / lastModifiedOn (effective-dated entities require date-range handling).
DeliveryEach detected change is applied to Redis Enterprise as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Redis Enterprise: Throughput is bounded by provisioned cluster capacity rather than published API rate limits.
- Success Factors: OData calls are throttled at the tenant level (Access Limits for OData V2); large reads must be paginated (default page size 1000) via $top/$skip or paging cursors.
What ships with Redis Enterprise ⇄ Success Factors
Connect Redis Enterprise and Success Factors for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Redis Enterprise–Success Factors connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Redis Enterprise or Success Factors 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 Redis Enterprise or Success Factors record.
Observability
Monitoring
Track your Redis Enterprise ⇄ Success Factors sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Redis Enterprise and Success Factors.
How the Redis Enterprise and Success Factors connectors work
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
Success Factors
- Integration surface
- OData V2 and V4 REST APIs (plus legacy SFAPI / Compound Employee SOAP API)
- Authentication
- OAuth 2.0 SAML Bearer Assertion — register an OAuth client for an API key (used as client_id), then exchange a signed SAML assertion for a short-lived access token; legacy HTTP Basic auth is being retired
- Change detection
- Polling on each entity's lastModifiedDateTime / lastModifiedOn (effective-dated entities require date-range handling); Intelligent Services can also push a fixed set of standard business events (e.g. Employee Hire) to a REST endpoint
- Capabilities
- read · write · webhooks
- Rate limits
- OData calls are throttled at the tenant level (Access Limits for OData V2); large reads must be paginated (default page size 1000) via $top/$skip or paging cursors.
How it works
How to connect Redis Enterprise to Success Factors — 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 Redis Enterprise and Success Factors with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Redis Enterprise
connected
Success Factors
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Redis Enterprise and Success Factors 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 · Redis Enterprise ⇄ Success FactorsCustomers 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.
Redis Enterprise Success FactorsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Redis Enterprise and Success Factors integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Redis Enterprise and Success Factors: authenticate both systems, choose the objects to sync (such as Redis Enterprise's Search indexes and Keys (Strings)), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Redis Enterprise and Success Factors 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 Redis Enterprise and Success Factors connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Redis Enterprise–Success Factors integration in-house.
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Yes — Stacksync ships production-grade connectors for both Redis Enterprise and Success Factors. 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 Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. On Success Factors: Polling on each entity's lastModifiedDateTime / lastModifiedOn (effective-dated entities require date-range handling); Intelligent Services can also push a fixed set of standard business events (e.g. Employee Hire) to a REST endpoint. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Redis Enterprise side: Hashes, JSON documents, Sets, Sorted Sets, plus custom fields where Redis Enterprise exposes them. On the Success Factors side: Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone, User. Stacksync auto-detects both schemas and converts types between the two systems.
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 434 integrations available for Redis Enterprise and Success Factors.
Popular · 7 of 434
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Redis Enterprise ⇄ Oracle Fusion Cloud HCM -
Redis Enterprise ⇄ Smartrecruiters -
Redis Enterprise ⇄ Ukg Pro -
Success Factors ⇄ DuckDB -
Success Factors ⇄ Elasticsearch -
Success Factors ⇄ Google Cloud Spanner - Success Factors ⇄ Google Cloud SQL
No integrations match .
