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Database ⇄ Human resources

Airtable to Success Factors integration — real-time, two-way sync

Keep Airtable 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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Airtable and Success Factors

Put your workforce data where your apps can reach it: Airtable 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. Airtable is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: PerPerson, EmpEmployment, EmpJob, EmpCompensation in Success Factors need to exist as queryable Attachments, Collaborators, Bases, Tables in Airtable 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 Attachments, Collaborators, Bases, Tables in Airtable with PerPerson, EmpEmployment, EmpJob, EmpCompensation 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 Use Airtable as a lightweight front end for product catalogs or inventory stored in an ERP or warehouse database.
  • 02 Consolidate several Airtable bases into one analytical database for reporting without manual CSV exports.
  • 03 Keep Foundation Objects (department, location, cost center) aligned between SuccessFactors and an ERP so cost-center and org hierarchies match.
  • 04 Write updated PerEmail, PerPhone, and User attributes back into SuccessFactors from an identity or directory system so contact data stays current.

Common sync patterns

Mirror people records into the database

Records maintained in Success Factors land as queryable Attachments, Collaborators, Bases, Tables in Airtable, so internal apps and dashboards read live data instead of a periodic export.

One directory of record

When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.

Reporting and analytics on current data

PerPerson, EmpEmployment, EmpJob, EmpCompensation replicate into Airtable where they join operational tables, so headcount, roles, and status reports run on the live state without manual pulls.

What you can sync between Airtable 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.

Airtable objects Success Factors objects How this pairing syncs
Bases Top-level containers; each base has its own API endpoint and schema. 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. Bases is specific to Airtable and User to Success Factors — each maps to any object or custom field on the other side.
Tables Map to sync tables; schema is readable through the base metadata endpoints. PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. Tables is specific to Airtable and PerPerson to Success Factors — each maps to any object or custom field on the other side.
Records The row-level unit created, updated, and deleted during syncs, identified by rec-prefixed IDs. EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. Records is specific to Airtable and EmpEmployment to Success Factors — each maps to any object or custom field on the other side.
Fields Typed columns including linked records, lookups, and rollups; computed fields are read-only in syncs. EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. Fields is specific to Airtable and EmpJob to Success Factors — each maps to any object or custom field on the other side.
Views Filtered subsets of a table that can scope which records a sync reads. EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. Views is specific to Airtable and EmpCompensation to Success Factors — each maps to any object or custom field on the other side.
Linked records Cross-table references that carry relationships between synced tables. 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. Linked records is specific to Airtable and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side.

How changes propagate between Airtable 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.

Airtable Success Factors Sub-second propagation

DetectionAirtable pushes changes as they happen — webhook events backed by change data capture. Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks).

DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.

Success Factors Airtable 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 written to Airtable through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Airtable: The Web API enforces a per-base limit of 5 requests per second.
  • 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 Airtable ⇄ Success Factors

Connect Airtable and Success Factors for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Airtable–Success Factors connection.

Real-time

Two-way sync

Changes in Airtable or Success Factors instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Airtable 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 Airtable or Success Factors record.

Observability

Monitoring

Track your Airtable ⇄ 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 Airtable and Success Factors.

How the Airtable and Success Factors connectors work

Airtable

Integration surface
REST API (per-base Web API plus metadata and webhooks endpoints)
Authentication
OAuth (Airtable OAuth grant to specific bases or all resources); the authorizing user must have a `creator` role, since only creator roles can create webhooks
Change detection
Incremental updates: changes in Airtable are detected and synced efficiently in realtime (webhook-based — creator role required to create webhooks); formula fields don't emit change events and are re-synced every hour
Capabilities
read · write · CDC · webhooks
Rate limits
The Web API enforces a per-base limit of 5 requests per second.
Airtable setup guide

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 Airtable 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.

  1. 01

    Connect your apps

    Authenticate Airtable 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Airtable connected
    Success Factors connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Airtable 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Airtable ⇄ Success Factors
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Airtable Success Factors
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Airtable and Success Factors integration FAQ

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.

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ISO 27001
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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:

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