Real-time
Two-way sync
Changes in MariaDB or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
MariaDB to Success Factors integration — real-time, two-way sync
Keep MariaDB 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
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect MariaDB and Success Factors
Put your workforce data where your apps can reach it: MariaDB 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. MariaDB 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 Views, Columns, Primary and Unique Keys, System-Versioned Tables in MariaDB 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, Columns, Primary and Unique Keys, System-Versioned Tables in MariaDB 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 Replicate ERP or billing master data into MariaDB databases that power customer-facing applications
- 02 Feed a warehouse continuously from MariaDB using binlog-based capture instead of scheduled 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
Org and structure stay aligned
Groups, departments, managers, and reporting lines from Success Factors stay consistent in MariaDB, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in MariaDB 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, Columns, Primary and Unique Keys, System-Versioned Tables in MariaDB, so internal apps and dashboards read live data instead of a periodic export.
What you can sync between MariaDB 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.
| MariaDB objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Tables The primary sync target; rows map to records in connected systems. | EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Tables is specific to MariaDB and EmpCompensation to Success Factors — each maps to any object or custom field on the other side. | |
| Views Read-side projections used as outbound sync sources. | 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. | Views is specific to MariaDB and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets with engine-typed values. | Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | Columns is specific to MariaDB and Position to Success Factors — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Primary and Unique Keys is specific to MariaDB and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. | |
| System-Versioned Tables Temporal tables that retain row history natively, useful for auditing synced changes. | 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. | System-Versioned Tables is specific to MariaDB and User to Success Factors — each maps to any object or custom field on the other side. | |
| JSON Columns Semi-structured payloads validated with JSON functions. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | JSON Columns is specific to MariaDB and PerPerson to Success Factors — each maps to any object or custom field on the other side. |
How changes propagate between MariaDB 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.
MariaDB Success Factors Sub-second propagation
DetectionChanges in MariaDB 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.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Success Factors MariaDB 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 MariaDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- MariaDB: 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 MariaDB ⇄ Success Factors
Connect MariaDB and Success Factors for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every MariaDB–Success Factors connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever MariaDB 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 MariaDB or Success Factors record.
Observability
Monitoring
Track your MariaDB ⇄ 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 MariaDB and Success Factors.
How the MariaDB and Success Factors connectors work
MariaDB
- Integration surface
- SQL wire protocol (MySQL-compatible client/server protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing
- 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 MariaDB 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 MariaDB 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.
MariaDB
connected
Success Factors
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the MariaDB 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 · MariaDB ⇄ 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.
MariaDB Success FactorsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
MariaDB and Success Factors integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between MariaDB and Success Factors: authenticate both systems, choose the objects to sync (such as MariaDB's Tables and Views), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
MariaDB: MariaDB is protocol- and binlog-compatible with MySQL, so most MySQL drivers and CDC tooling work unchanged. Success Factors: Employee Central entities are effective-dated: EmpJob, PerPersonal, and EmpCompensation carry effectiveStartDate, so writes create dated time-slices and incremental reads must combine lastModifiedDateTime with effective-dating windows. Stacksync's field mapping accounts for these differences between MariaDB and Success Factors without custom code.
-
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means MariaDB and Success Factors records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed MariaDB and Success Factors connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom MariaDB–Success Factors integration in-house.
-
Yes — Stacksync ships production-grade connectors for both MariaDB and Success Factors. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on MariaDB: Database triggers — Stacksync creates deterministic triggers for internal logging and syncing. 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.
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 443 integrations available for MariaDB and Success Factors.
Popular · 8 of 443
-
MariaDB ⇄ Ukg Pro -
MariaDB ⇄ Greenhouse -
MariaDB ⇄ Jobvite -
MariaDB ⇄ Lever -
Success Factors ⇄ IBM Informix -
Success Factors ⇄ InfluxDB -
Success Factors ⇄ InterSystems IRIS -
Success Factors ⇄ MarkLogic
No integrations match .
