Real-time
Two-way sync
Changes in Dynamo DB or Success Factors instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Human resources
Dynamo DB to Success Factors integration — real-time, two-way sync
Keep Dynamo DB 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 Dynamo DB and Success Factors
Put your workforce data where your apps can reach it: Dynamo DB 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. Dynamo DB 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 DynamoDB Streams, Global Tables, Tables, Items in Dynamo DB 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 DynamoDB Streams, Global Tables, Tables, Items in Dynamo DB 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 Replace ad-hoc export scripts with continuous sync driven by DynamoDB Streams.
- 02 Stream item changes from DynamoDB application tables into a Postgres or warehouse copy for SQL analytics.
- 03 Replicate EmpCompensation and EmpJob effective-dated history into a warehouse for headcount, attrition, and compensation reporting without CSV pulls.
- 04 Keep Foundation Objects (department, location, cost center) aligned between SuccessFactors and an ERP so cost-center and org hierarchies match.
Common sync patterns
Computed and operational fields flow back
Values assembled or corrected in Dynamo DB 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 DynamoDB Streams, Global Tables, Tables, Items in Dynamo DB, so internal apps and dashboards read live data instead of a periodic export.
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.
What you can sync between Dynamo DB 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.
| Dynamo DB objects | Success Factors objects | How this pairing syncs | |
|---|---|---|---|
| Tables The top-level containers a sync targets; each table is addressed independently. | 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. | Tables is specific to Dynamo DB and User to Success Factors — each maps to any object or custom field on the other side. | |
| Items Schemaless records keyed by partition (and optional sort) key, mapped to rows or SaaS objects in syncs. | PerPerson Person-level container in Employee Central holding biographical data; effective-dated child entities (PerPersonal, PerEmail, PerPhone) hang off it. | Items is specific to Dynamo DB and PerPerson to Success Factors — each maps to any object or custom field on the other side. | |
| Attributes Per-item fields, including nested maps and lists, flattened or mapped during sync. | EmpEmployment Employment record tying a person to an employment period (hire, service dates); carries lastModifiedDateTime used for incremental polling. | Attributes is specific to Dynamo DB and EmpEmployment to Success Factors — each maps to any object or custom field on the other side. | |
| Partition and Sort Keys The primary key pair used as the match key for bi-directional sync. | EmpJob Effective-dated job info: position, department, manager, FTE, pay grade, cost center; the most-synced record for downstream HR and provisioning. | Partition and Sort Keys is specific to Dynamo DB and EmpJob to Success Factors — each maps to any object or custom field on the other side. | |
| Global Secondary Indexes Alternate access paths used when sync queries filter on non-key attributes. | EmpCompensation Effective-dated pay and compensation; usually read into a warehouse for reporting, writable for comp updates as new dated slices. | Global Secondary Indexes is specific to Dynamo DB and EmpCompensation to Success Factors — each maps to any object or custom field on the other side. | |
| DynamoDB Streams Ordered item-level change records consumed for incremental sync. | 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. | DynamoDB Streams is specific to Dynamo DB and Foundation Objects (FODepartment, FOLocation, FOCostCenter) to Success Factors — each maps to any object or custom field on the other side. |
How changes propagate between Dynamo DB 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.
Dynamo DB Success Factors Sub-second propagation
DetectionChanges in Dynamo DB are captured at the source via change data capture — no polling loop against its API. Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration.
DeliveryEach detected change is written to Success Factors through its API, with automatic retries and rate-limit backoff.
Success Factors Dynamo DB 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 Dynamo DB as a row-level write, with types converted between the two schemas.
Rate-limit considerations
- Dynamo DB: Throughput is governed by the table's provisioned or on-demand capacity mode.
- 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 Dynamo DB ⇄ Success Factors
Connect Dynamo DB and Success Factors for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dynamo DB–Success Factors connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dynamo DB 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 Dynamo DB or Success Factors record.
Observability
Monitoring
Track your Dynamo DB ⇄ 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 Dynamo DB and Success Factors.
How the Dynamo DB and Success Factors connectors work
Dynamo DB
- Integration surface
- Proprietary JSON-over-HTTPS API accessed through AWS SDKs; PartiQL supported for SQL-like queries
- Authentication
- AWS IAM credentials with SigV4 request signing
- Change detection
- Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration
- Capabilities
- read · write · CDC
- Rate limits
- Throughput is governed by the table's provisioned or on-demand capacity mode
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 Dynamo DB 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 Dynamo DB 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.
Dynamo DB
connected
Success Factors
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dynamo DB 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 · Dynamo DB ⇄ 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.
Dynamo DB Success FactorsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dynamo DB and Success Factors integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dynamo DB and Success Factors: authenticate both systems, choose the objects to sync (such as Dynamo DB's Tables and Items), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Dynamo DB and Success Factors. 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 Dynamo DB: Item-level change streams via DynamoDB Streams or Kinesis Data Streams integration. 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 Dynamo DB side: DynamoDB Streams, Global Tables, Tables, Items, plus custom fields where Dynamo DB exposes them. On the Success Factors side: User, PerPerson, EmpEmployment, EmpJob. 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 Dynamo DB and Success Factors: Computed and operational fields flow back; Mirror people records into the database; One directory of record. Values assembled or corrected in Dynamo DB write onto the matching record in Success Factors where those fields are writable, keeping the people system enriched.
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
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