Real-time
Two-way sync
Changes in Success Factors or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
Success Factors to TimescaleDB integration — real-time, two-way sync
Keep Success Factors and TimescaleDB 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 Success Factors and TimescaleDB
Put your workforce data where your apps can reach it: TimescaleDB 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. TimescaleDB is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: User, PerPerson, EmpEmployment, EmpJob in Success Factors need to exist as queryable Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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 Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB with User, PerPerson, EmpEmployment, EmpJob 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 Consolidate metrics from several services into one hypertable to serve a single reporting layer.
- 02 Sync product or IoT telemetry stored in TimescaleDB into a CRM so account teams see usage metrics next to the customer record.
- 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
Reporting and analytics on current data
User, PerPerson, EmpEmployment, EmpJob replicate into TimescaleDB 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 TimescaleDB, so hierarchy-driven logic and permissions don't drift.
Computed and operational fields flow back
Values assembled or corrected in TimescaleDB write onto the matching record in Success Factors where those fields are writable, keeping the people system enriched.
What you can sync between Success Factors and TimescaleDB
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.
| Success Factors objects | TimescaleDB objects | How this pairing syncs | |
|---|---|---|---|
| Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | Position is specific to Success Factors and Schemas to TimescaleDB — each maps to any object or custom field on the other side. | |
| PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | PerEmail and PerPhone is specific to Success Factors and Hypertables to TimescaleDB — each maps to any object or custom field on the other side. | |
| 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. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | User is specific to Success Factors and Chunks to TimescaleDB — each maps to any object or custom field on the other side. | |
| PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | PerPerson is specific to Success Factors and Continuous Aggregates to TimescaleDB — each maps to any object or custom field on the other side. | |
| EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | EmpEmployment is specific to Success Factors and Regular PostgreSQL Tables to TimescaleDB — each maps to any object or custom field on the other side. | |
| EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Views Standard SQL views used to shape or filter data for consumers. | EmpJob is specific to Success Factors and Views to TimescaleDB — each maps to any object or custom field on the other side. |
How changes propagate between Success Factors and TimescaleDB
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.
Success Factors TimescaleDB 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 TimescaleDB as a row-level write, with types converted between the two schemas.
TimescaleDB Success Factors Sub-second propagation
DetectionChanges in TimescaleDB are captured at the source via change data capture — no polling loop against its API. Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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.
- TimescaleDB: No API rate limits; throughput is bounded by database resources and connection limits.
What ships with Success Factors ⇄ TimescaleDB
Connect Success Factors and TimescaleDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Success Factors–TimescaleDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Success Factors or TimescaleDB 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 Success Factors or TimescaleDB record.
Observability
Monitoring
Track your Success Factors ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Success Factors and TimescaleDB.
How the Success Factors and TimescaleDB connectors work
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.
TimescaleDB
- Integration surface
- SQL wire protocol (PostgreSQL)
- Authentication
- Database credentials
- Change detection
- Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by database resources and connection limits.
How it works
How to connect Success Factors to TimescaleDB — 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 Success Factors and TimescaleDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Success Factors
connected
TimescaleDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Success Factors and TimescaleDB 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 · Success Factors ⇄ TimescaleDBCustomers 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.
Success Factors TimescaleDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Success Factors and TimescaleDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Success Factors and TimescaleDB: authenticate both systems, choose the objects to sync (such as Success Factors's Position and PerEmail and PerPhone), map fields visually, and changes propagate both ways in milliseconds — no code required.
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TimescaleDB: Hypertables automatically partition rows into time-based chunks while inserts and queries target the parent table. 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 Success Factors and TimescaleDB without custom code.
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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 Success Factors and TimescaleDB records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Success Factors and TimescaleDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Success Factors–TimescaleDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Success Factors and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection 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. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. 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 429 integrations available for Success Factors and TimescaleDB.
Popular · 8 of 429
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Success Factors ⇄ TiDB -
Success Factors ⇄ VoltDB -
Success Factors ⇄ YugabyteDB -
Success Factors ⇄ Amazon DynamoDB -
TimescaleDB ⇄ Ukg Ready -
TimescaleDB ⇄ BambooHR -
TimescaleDB ⇄ Hibob -
TimescaleDB ⇄ Ceridian Dayforce
No integrations match .
