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Database ⇄ Human resources

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

Keep Google AlloyDB 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 Google AlloyDB and Success Factors

Put your workforce data where your apps can reach it: Google AlloyDB 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. Google AlloyDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: EmpJob, EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position in Success Factors need to exist as queryable Views, Materialized Views, Indexes, Sequences in Google AlloyDB 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 Views, Materialized Views, Indexes, Sequences in Google AlloyDB with EmpJob, EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position 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 logical replication to feed AlloyDB changes into warehouses or event pipelines without batch jobs.
  • 02 Consolidate SaaS data into AlloyDB and serve analytics from its columnar engine without a separate OLAP store.
  • 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

Org and structure stay aligned

Groups, departments, managers, and reporting lines from Success Factors stay consistent in Google AlloyDB, so hierarchy-driven logic and permissions don't drift.

Computed and operational fields flow back

Values assembled or corrected in Google AlloyDB 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 Views, Materialized Views, Indexes, Sequences in Google AlloyDB, so internal apps and dashboards read live data instead of a periodic export.

What you can sync between Google AlloyDB 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.

Google AlloyDB objects Success Factors objects How this pairing syncs
Databases Standard PostgreSQL databases within an AlloyDB cluster that syncs connect to. EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. Databases is specific to Google AlloyDB and EmpCompensation to Success Factors — each maps to any object or custom field on the other side.
Schemas Namespaces used to separate synced SaaS data from application 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. Schemas is specific to Google AlloyDB and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side.
Tables Primary read/write target for bi-directional sync with CRMs and other systems. Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. Tables is specific to Google AlloyDB and Position to Success Factors — each maps to any object or custom field on the other side.
Views Curated projections used as read-only sync sources. PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. Views is specific to Google AlloyDB and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side.
Materialized Views Precomputed aggregates refreshed and synced outward on a schedule. 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. Materialized Views is specific to Google AlloyDB and User to Success Factors — each maps to any object or custom field on the other side.
Indexes Keep sync key lookups fast on high-volume tables. PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. Indexes is specific to Google AlloyDB and PerPerson to Success Factors — each maps to any object or custom field on the other side.

How changes propagate between Google AlloyDB 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.

Google AlloyDB Success Factors Sub-second propagation

DetectionChanges in Google AlloyDB are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication.

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

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

Rate-limit considerations

  • Google AlloyDB: No API-style rate limits; throughput is bounded by instance size.
  • 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 Google AlloyDB ⇄ Success Factors

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Google AlloyDB 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 Google AlloyDB or Success Factors record.

Observability

Monitoring

Track your Google AlloyDB ⇄ 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 Google AlloyDB and Success Factors.

How the Google AlloyDB and Success Factors connectors work

Google AlloyDB

Integration surface
SQL wire protocol (PostgreSQL-compatible), with connectivity through the AlloyDB Auth Proxy or private IP
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC via PostgreSQL logical replication; polling on timestamp columns as a fallback
Capabilities
read · write · CDC
Rate limits
No API-style rate limits; throughput is bounded by instance size

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 Google AlloyDB 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 Google AlloyDB 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
    Google AlloyDB connected
    Success Factors connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Google AlloyDB 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 · Google AlloyDB ⇄ 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
    Google AlloyDB Success Factors
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Google AlloyDB and Success Factors integration FAQ

SECURITY

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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 447 integrations available for Google AlloyDB and Success Factors.

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