Real-time
Two-way sync
Changes in Dremio or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Human resources
Dremio to Success Factors integration — real-time, two-way sync
Keep Dremio 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 Dremio and Success Factors
Land the people and organization records from Success Factors in Dremio as live tables for workforce reporting, without extract jobs, and write computed results back where Success Factors can use them.
Workforce data is some of the most requested data in the warehouse and some of the most awkward to move: the record types are many, the fields carry sensitive personal information, the APIs are strict, and hand-built extract jobs go stale or break quietly. Whether Success Factors is the system of record for employees and payroll, for candidates and applications, or for learners and course completions, the reporting belongs in Dremio next to everything else the company measures.
Stacksync syncs PerPerson, EmpEmployment, EmpJob, EmpCompensation from Success Factors into tables in Dremio continuously, handling API limits and schema drift as they come. The connection is bi-directional, so values computed in Dremio, such as headcount rollups, cost allocations, or attrition risk flags, can be written back to fields in Success Factors where the HR team acts on them. You configure which records and fields cross over, and in which direction, instead of maintaining pipeline code.
Common use cases
- 01 Reverse-ETL aggregates computed over lake data out to CRMs and finance tools for business users.
- 02 Publish operational database tables into Iceberg via Dremio so the lakehouse reflects current application state.
- 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
Queryable history for planning and audit
A continuously synced copy in Dremio gives you a durable, queryable record of how Success Factors's records change over time, for headcount planning and audit questions.
Write-back of computed values
Segments, rollups, or risk flags computed in Dremio sync back onto the matching records in Success Factors, where the HR team sees them in the system they already use.
HR data in the warehouse, minus the pipeline
People and organization records from Success Factors arrive in Dremio as queryable tables, current within seconds instead of a day behind, replacing hand-built extract jobs.
What you can sync between Dremio 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.
| Dremio objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Physical datasets is specific to Dremio and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Virtual datasets (views) is specific to Dremio and EmpJob to Success Factors — each maps to any object or custom field on the other side. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Apache Iceberg tables is specific to Dremio and EmpCompensation to Success Factors — each maps to any object or custom field on the other side. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | 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. | Spaces and folders is specific to Dremio and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Position Position Management records for headcount and requisition planning; synced with an ATS or ERP to keep positions and reqs aligned. | Reflections is specific to Dremio and Position to Success Factors — each maps to any object or custom field on the other side. | |
| Jobs Query execution records useful for monitoring sync workloads. | PerEmail and PerPhone Contact sub-entities under PerPerson; synced two-way with a directory or comms system to keep worker contact data current. | Jobs is specific to Dremio and PerEmail and PerPhone to Success Factors — each maps to any object or custom field on the other side. |
How changes propagate between Dremio 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.
Dremio Success Factors Interval-based propagation
DetectionStacksync polls Dremio for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Success Factors Dremio 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 Dremio as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dremio: Bounded by engine capacity and workload management rather than API rate limits.
- 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 Dremio ⇄ Success Factors
Connect Dremio and Success Factors for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Success Factors connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Success Factors record.
Observability
Monitoring
Track your Dremio ⇄ 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 Dremio and Success Factors.
How the Dremio and Success Factors connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
Success Factors
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio Success FactorsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Success Factors integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Success Factors: authenticate both systems, choose the objects to sync (such as Dremio's Physical datasets and Virtual datasets (views)), 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 Dremio and Success Factors: Queryable history for planning and audit; Write-back of computed values; HR data in the warehouse, minus the pipeline. A continuously synced copy in Dremio gives you a durable, queryable record of how Success Factors's records change over time, for headcount planning and audit questions.
-
Dremio: Arrow Flight SQL, JDBC/ODBC, and a REST API. Authentication: Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud. 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.
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Dremio: Arrow Flight SQL is a first-class endpoint designed for high-throughput columnar result transfer, an alternative to JDBC/ODBC for large extracts. 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 Dremio 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 Dremio 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 434 integrations available for Dremio and Success Factors.
Popular · 6 of 434
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Dremio ⇄ BambooHR -
Dremio ⇄ Hibob -
Dremio ⇄ Ceridian Dayforce -
Success Factors ⇄ Databricks -
Success Factors ⇄ AWS S3 -
Success Factors ⇄ Amazon Redshift
No integrations match .
