Real-time
Two-way sync
Changes in InfluxDB or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
InfluxDB to Success Factors integration — real-time, two-way sync
Keep InfluxDB 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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Migrated from MuleSoft
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect InfluxDB and Success Factors
Put your workforce data where your apps can reach it: InfluxDB 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. InfluxDB 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 Fields, Retention policies, Organizations, Buckets / databases in InfluxDB 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 Fields, Retention policies, Organizations, Buckets / databases in InfluxDB 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 Push metered usage aggregates into billing systems to drive usage-based pricing.
- 02 Write events from operational databases or applications into InfluxDB as time-stamped points for monitoring.
- 03 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.
- 04 Push new hires (PerPerson, EmpEmployment, EmpJob) into an ERP or payroll system so account, cost-center, and payroll setup fire on hire instead of manual Integration Center exports.
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 InfluxDB 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 InfluxDB, so hierarchy-driven logic and permissions don't drift.
What you can sync between InfluxDB 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.
| InfluxDB objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Tags Indexed key-value metadata used for filtering and as sync partition keys. | 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. | Tags is specific to InfluxDB and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side. | |
| Fields The unindexed numeric or string values carried by each point. | Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | Fields is specific to InfluxDB and Position to Success Factors — each maps to any object or custom field on the other side. | |
| Retention policies Automatic expiry rules that determine how long synced history remains queryable. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Retention policies is specific to InfluxDB and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. | |
| Organizations Tenancy scope for tokens and buckets in multi-tenant deployments. | 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. | Organizations is specific to InfluxDB and User to Success Factors — each maps to any object or custom field on the other side. | |
| Buckets / databases Named containers with retention settings that scope reads and writes. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Buckets / databases is specific to InfluxDB and PerPerson to Success Factors — each maps to any object or custom field on the other side. | |
| Measurements The table-like grouping for points, typically mapped to a synced dataset. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Measurements is specific to InfluxDB and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. |
How changes propagate between InfluxDB 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.
InfluxDB Success Factors Interval-based propagation
DetectionStacksync polls InfluxDB for changes on an incremental schedule, reading only records changed since the previous pass. Polling with time-range queries.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Success Factors InfluxDB 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 InfluxDB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- InfluxDB: Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
- 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 InfluxDB ⇄ Success Factors
Connect InfluxDB and Success Factors for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every InfluxDB–Success Factors connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever InfluxDB 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 InfluxDB or Success Factors record.
Observability
Monitoring
Track your InfluxDB ⇄ 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 InfluxDB and Success Factors.
How the InfluxDB and Success Factors connectors work
InfluxDB
- Integration surface
- REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version
- Authentication
- API token
- Change detection
- Polling with time-range queries; data is timestamped, so incremental reads use time cursors
- Capabilities
- read · write
- Rate limits
- Subject to the platform's API rate limits on cloud plans; self-hosted deployments are bounded by hardware.
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 InfluxDB 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 InfluxDB 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.
InfluxDB
connected
Success Factors
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the InfluxDB 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 · InfluxDB ⇄ 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.
InfluxDB Success FactorsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
InfluxDB and Success Factors integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between InfluxDB and Success Factors: authenticate both systems, choose the objects to sync (such as InfluxDB's Tags and Fields), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 InfluxDB 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.
-
InfluxDB: REST API with line-protocol writes; queries via InfluxQL, Flux, or SQL depending on version. Authentication: API token. 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.
-
InfluxDB: Retention policies expire data automatically, meaning long-term syncs must land data elsewhere before it ages out. 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 InfluxDB and Success Factors 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 InfluxDB and Success Factors records are not retained after a sync operation.
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 453 integrations available for InfluxDB and Success Factors.
Popular · 8 of 453
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InfluxDB ⇄ Jobvite -
InfluxDB ⇄ Lever -
InfluxDB ⇄ Namely -
InfluxDB ⇄ Paylocity -
Success Factors ⇄ Elasticsearch -
Success Factors ⇄ Google Cloud Spanner - Success Factors ⇄ Google Cloud SQL
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Success Factors ⇄ IBM AS/400
No integrations match .
