Real-time
Two-way sync
Changes in Success Factors or Supabase instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Success Factors to Supabase integration — real-time, two-way sync
Keep Success Factors and Supabase 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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Why teams connect Success Factors and Supabase
Put your workforce data where your apps can reach it: Supabase 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. Supabase is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: PerEmail and PerPhone, User, PerPerson, EmpEmployment in Success Factors need to exist as queryable Database Functions, Storage Object Metadata, Tables, Views in Supabase 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 Database Functions, Storage Object Metadata, Tables, Views in Supabase with PerEmail and PerPhone, User, PerPerson, EmpEmployment 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 Push product events captured in Supabase Postgres to marketing tools for lifecycle campaigns
- 02 Consolidate Supabase project data into a warehouse for analytics while keeping the app database as the system of record
- 03 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.
- 04 Replicate EmpCompensation and EmpJob effective-dated history into a warehouse for headcount, attrition, and compensation reporting without CSV pulls.
Common sync patterns
Reporting and analytics on current data
PerEmail and PerPhone, User, PerPerson, EmpEmployment replicate into Supabase 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 Success Factors stay consistent in Supabase, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in Supabase write onto the matching record in Success Factors where those fields are writable, keeping the people system enriched.
What you can sync between Success Factors and Supabase
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.
| Success Factors objects | Supabase objects | How this pairing syncs | |
|---|---|---|---|
| Foundation Objects (FODepartment, FOLocation, FOCostCenter) Org-structure master data (department, location, cost center, division); mastered elsewhere and written in, or read out to build org charts. | Schemas Namespaces (public and custom) that scope sync access. | Foundation Objects (FODepartment, FOLocation, FOCostCenter) is specific to Success Factors and Schemas to Supabase — each maps to any object or custom field on the other side. | |
| Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | auth.users Managed authentication users, often mirrored into CRM or support systems. | Position is specific to Success Factors and auth.users to Supabase — each maps to any object or custom field on the other side. | |
| PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Row Level Security Policies Row-level access rules that govern what the REST layer exposes. | PerEmail and PerPhone is specific to Success Factors and Row Level Security Policies to Supabase — each maps to any object or custom field on the other side. | |
| 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. | JSONB Columns Semi-structured payloads such as event properties or nested objects. | User is specific to Success Factors and JSONB Columns to Supabase — each maps to any object or custom field on the other side. | |
| PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Database Functions Postgres functions that can transform or validate synced rows. | PerPerson is specific to Success Factors and Database Functions to Supabase — each maps to any object or custom field on the other side. | |
| EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Storage Object Metadata File metadata rows that can be joined to synced application data. | EmpEmployment is specific to Success Factors and Storage Object Metadata to Supabase — each maps to any object or custom field on the other side. |
How changes propagate between Success Factors and Supabase
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.
Success Factors Supabase 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 Supabase as a row-level write, with types converted between the two schemas.
Supabase Success Factors Sub-second propagation
DetectionSupabase pushes changes as they happen — webhook events backed by change data capture. Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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.
- Supabase: SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits.
What ships with Success Factors ⇄ Supabase
Connect Success Factors and Supabase for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Success Factors–Supabase connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Success Factors or Supabase 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 Success Factors or Supabase record.
Observability
Monitoring
Track your Success Factors ⇄ Supabase sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Success Factors and Supabase.
How the Success Factors and Supabase connectors work
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.
Supabase
- Integration surface
- Direct PostgreSQL wire protocol connection, plus an auto-generated REST API (PostgREST)
- Authentication
- Database credentials (connection string) for SQL access; API keys (anon / service role) for the REST layer
- Change detection
- Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes
- Capabilities
- read · write · CDC · webhooks
- Rate limits
- SQL access is bounded by connection limits (pooled connections are provided); the REST layer is subject to the platform's limits
How it works
How to connect Success Factors to Supabase — 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 Success Factors and Supabase with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Success Factors
connected
Supabase
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Success Factors and Supabase 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 · Success Factors ⇄ SupabaseCustomers 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.
Success Factors SupabaseCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Success Factors and Supabase integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Success Factors and Supabase: authenticate both systems, choose the objects to sync (such as Success Factors's Foundation Objects (FODepartment, FOLocation, FOCostCenter) and Position), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Success Factors and Supabase connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Success Factors–Supabase integration in-house.
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Yes — Stacksync ships production-grade connectors for both Success Factors and Supabase. 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 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. On Supabase: Log-based CDC via Postgres logical replication, the same WAL feed that powers Supabase Realtime; database webhooks can also fire on row changes. 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 Supabase side: Database Functions, Storage Object Metadata, Tables, Views, plus custom fields where Supabase exposes them. On the Success Factors side: PerEmail and PerPhone, User, PerPerson, EmpEmployment. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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
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