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Data warehouse ⇄ Human resources

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

Keep Starburst 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.

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

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Why teams connect Starburst Enterprise and Success Factors

Land the people and organization records from Success Factors in Starburst Enterprise as live tables for workforce reporting, without extract jobs, and write computed results back where Success Factors can use them.

Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Success Factors is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Starburst Enterprise next to everything else the company measures.

Stacksync syncs EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone from Success Factors into tables in Starburst Enterprise continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Starburst Enterprise, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Success Factors where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.

Common use cases

  • 01 Expose Iceberg or Hive lake tables to sync jobs through one SQL endpoint without moving the data first
  • 02 Consolidate reads from multiple databases behind a single connection instead of maintaining one integration per source
  • 03 Write updated PerEmail, PerPhone, and User attributes back into SuccessFactors from an identity or directory system so contact data stays current.
  • 04 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.

Common sync patterns

Headcount and cost joined with everything else

Analysts combine Success Factors's workforce records with finance, product, or operational data already in Starburst Enterprise for reporting the HR system cannot produce on its own.

Fresh data instead of last night's load

Because changes stream continuously, reports query current workforce data rather than waiting for an overnight load window to finish.

Queryable history for planning and audit

A continuously synced copy in Starburst Enterprise gives you a durable, queryable record of how Success Factors's records change over time, for headcount planning and audit questions.

What you can sync between Starburst 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.

Starburst Enterprise objects Success Factors objects How this pairing syncs
Schemas Namespaces within a catalog, mirroring the underlying source's databases or schemas. EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. Schemas is specific to Starburst Enterprise and EmpCompensation to Success Factors — each maps to any object or custom field on the other side.
Tables Queryable relations; writes pass through to sources whose connectors support them. 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. Tables is specific to Starburst Enterprise and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side.
Views Engine-level SQL views used to shape federated data before syncing it out. Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. Views is specific to Starburst Enterprise and Position to Success Factors — each maps to any object or custom field on the other side.
Materialized views Precomputed results that make repeated sync reads cheaper. PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. Materialized views is specific to Starburst Enterprise and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side.
Columns Typed per the Trino type system, mapped from each source's native types. 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. Columns is specific to Starburst Enterprise and User to Success Factors — each maps to any object or custom field on the other side.
Catalogs Each catalog maps to a connector (Iceberg, Hive, PostgreSQL, and others) exposing an external source. PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. Catalogs is specific to Starburst Enterprise and PerPerson to Success Factors — each maps to any object or custom field on the other side.

How changes propagate between Starburst 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.

Starburst Enterprise Success Factors Interval-based propagation

DetectionStacksync polls Starburst Enterprise for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling.

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

Success Factors Starburst 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 Starburst Enterprise as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Starburst Enterprise: Throughput is governed by cluster sizing and resource groups rather than API quotas.
  • 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 Starburst Enterprise ⇄ Success Factors

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Starburst 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 Starburst Enterprise or Success Factors record.

Observability

Monitoring

Track your Starburst 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 Starburst Enterprise and Success Factors.

How the Starburst Enterprise and Success Factors connectors work

Starburst Enterprise

Integration surface
ANSI SQL over JDBC/ODBC drivers and the Trino client REST protocol
Authentication
Deployment-dependent: username/password, LDAP, OAuth 2.0, or Kerberos
Change detection
Query-based polling; Starburst is a query engine and exposes no change log of its own
Capabilities
read · write
Rate limits
Throughput is governed by cluster sizing and resource groups rather than API quotas

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 Starburst 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.

  1. 01

    Connect your apps

    Authenticate Starburst 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.

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

    Choose tables

    Pick the Starburst 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Starburst Enterprise ⇄ 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
    Starburst Enterprise Success Factors
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Starburst Enterprise 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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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 436 integrations available for Starburst Enterprise and Success Factors.

Popular · 8 of 436
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