Real-time
Two-way sync
Changes in MySQL or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
MySQL to Success Factors integration — real-time, two-way sync
Keep MySQL 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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Why teams connect MySQL and Success Factors
Put your workforce data where your apps can reach it: MySQL 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. MySQL is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone in Success Factors need to exist as queryable Databases (Schemas), Tables, Views, Columns in MySQL 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 Databases (Schemas), Tables, Views, Columns in MySQL with EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone 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 Keep e-commerce orders in MySQL flowing into finance and fulfillment systems without export scripts
- 02 Feed a warehouse from MySQL continuously using binlog-based capture instead of nightly dumps
- 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
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
EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone replicate into MySQL 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 MySQL, so hierarchy-driven logic and permissions don't drift.
What you can sync between MySQL 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.
| MySQL objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| JSON Columns Validated semi-structured payloads for nested SaaS data. | Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | JSON Columns is specific to MySQL and Position to Success Factors — each maps to any object or custom field on the other side. | |
| Stored Procedures Server-side logic that can post-process synced rows. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Stored Procedures is specific to MySQL and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. | |
| Triggers An alternative change-capture mechanism when binlog access is unavailable. | 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. | Triggers is specific to MySQL and User to Success Factors — each maps to any object or custom field on the other side. | |
| Databases (Schemas) Top-level namespaces that scope a sync's reads and writes. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Databases (Schemas) is specific to MySQL and PerPerson to Success Factors — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map to records in connected systems. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Tables is specific to MySQL and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Views is specific to MySQL and EmpJob to Success Factors — each maps to any object or custom field on the other side. |
How changes propagate between MySQL 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.
MySQL Success Factors Sub-second propagation
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Success Factors MySQL 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 MySQL as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
- 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 MySQL ⇄ Success Factors
Connect MySQL and Success Factors for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MySQL–Success Factors connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MySQL 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 MySQL or Success Factors record.
Observability
Monitoring
Track your MySQL ⇄ 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 MySQL and Success Factors.
How the MySQL and Success Factors connectors work
MySQL
- Integration surface
- SQL wire protocol (MySQL client/server protocol)
- Authentication
- Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
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 MySQL 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 MySQL 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.
MySQL
connected
Success Factors
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MySQL 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 · MySQL ⇄ 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.
MySQL Success FactorsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MySQL and Success Factors integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MySQL and Success Factors: authenticate both systems, choose the objects to sync (such as MySQL's JSON Columns and Stored Procedures), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Change detection on MySQL: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled). 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 MySQL side: Databases (Schemas), Tables, Views, Columns, plus custom fields where MySQL exposes them. On the Success Factors side: EmpCompensation, Foundation Objects (FODepartment, FOLocation, FOCostCenter), Position, PerEmail and PerPhone. 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.
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Common patterns for MySQL and Success Factors: One directory of record; Reporting and analytics on current data; Org and structure stay aligned. When a person record is added, changed, or deactivated in either system, the matching row in the other stays current, ending dual maintenance.
-
MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). Success Factors: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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 546 integrations available for MySQL and Success Factors.
Popular · 8 of 546
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MySQL ⇄ Ukg Ready -
MySQL ⇄ BambooHR -
MySQL ⇄ Hibob -
MySQL ⇄ Ceridian Dayforce -
Success Factors ⇄ SAP Hana -
Success Factors ⇄ Jdbc -
Success Factors ⇄ Render Postgres -
Success Factors ⇄ PostgreSQL
No integrations match .
