Real-time
Two-way sync
Changes in D2l Brightspace or Neo4j instantly reflect in both systems. No stale data, no manual imports.
Human resources ⇄ Database
D2l Brightspace to Neo4j integration — real-time, two-way sync
Keep D2l Brightspace and Neo4j 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect D2l Brightspace and Neo4j
Put your workforce data where your apps can reach it: Neo4j and D2l Brightspace share the same people, positions, and org structure in real time.
D2l Brightspace is the system of record for the people side of the business — employees, candidates, roles, and the org structure around them. Neo4j is where internal tools, dashboards, provisioning jobs, and analytics actually read and store records. The overlap is the workforce itself: Enrollments, Org Units, Grades, Content (Modules, Topics, and User Progress) in D2l Brightspace need to exist as queryable Databases, Users & Roles, Nodes, Relationships in Neo4j 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 Databases, Users & Roles, Nodes, Relationships in Neo4j with Enrollments, Org Units, Grades, Content (Modules, Topics, and User Progress) in D2l Brightspace field by field, in real time. You decide which system owns which fields — D2l Brightspace 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 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 02 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
- 03 Provision Org Units such as course offerings and sections, then enroll learners from an operational database when a cohort or class is created upstream.
- 04 Pull Content user progress and Quiz attempt results into a Postgres warehouse for engagement and completion analytics.
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
Enrollments, Org Units, Grades, Content (Modules, Topics, and User Progress) replicate into Neo4j 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 D2l Brightspace stay consistent in Neo4j, so hierarchy-driven logic and permissions don't drift.
What you can sync between D2l Brightspace and Neo4j
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.
| D2l Brightspace objects | Neo4j objects | How this pairing syncs | |
|---|---|---|---|
| Org Units The org structure — course offerings, sections, departments, and semesters; read for hierarchy and created/updated to provision courses from a database. | Users & Roles Security principals controlling what an integration credential can query or modify. | Org Units is specific to D2l Brightspace and Users & Roles to Neo4j — each maps to any object or custom field on the other side. | |
| Grades Grade objects, categories, schemes, and per-user grade values in the Learning Environment (le) component; values can be read out and written back onto the gradebook. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Grades is specific to D2l Brightspace and Nodes to Neo4j — each maps to any object or custom field on the other side. | |
| Content (Modules, Topics, and User Progress) Course content structure plus per-user completion; progress is read into a warehouse and topics can be created and updated via the API. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Content (Modules, Topics, and User Progress) is specific to D2l Brightspace and Relationships to Neo4j — each maps to any object or custom field on the other side. | |
| Quizzes Quiz objects and per-user attempts and results; attempt data is read out for engagement and completion analytics. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Quizzes is specific to D2l Brightspace and Properties to Neo4j — each maps to any object or custom field on the other side. | |
| Assignments (Dropbox) Dropbox folders, submissions, and feedback; submission and evaluation data is read into reporting systems and feedback can be written back. | Labels Node type markers used to map source tables or objects onto the graph. | Assignments (Dropbox) is specific to D2l Brightspace and Labels to Neo4j — each maps to any object or custom field on the other side. | |
| Groups and Sections Group categories, groups, and section membership within an org unit; enrollments are read and written to keep cohort assignments aligned. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Groups and Sections is specific to D2l Brightspace and Indexes & Constraints to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between D2l Brightspace and Neo4j
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.
D2l Brightspace Neo4j Sub-second propagation
DetectionD2l Brightspace notifies Stacksync of record changes through webhook events. Polling Valence endpoints with date/bookmark filters, differential Brightspace Data Sets (BDS) bulk exports for changed rows via the Data Hub, and.
DeliveryEach detected change is written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j D2l Brightspace Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
DeliveryEach detected change is written to D2l Brightspace through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- D2l Brightspace: Per-caller token-bucket credit scheme; each route costs credits, responses carry X-Rate-Limit-Remaining, and over-quota calls return HTTP 429. D2L can adjust per-route credit costs.
What ships with D2l Brightspace ⇄ Neo4j
Connect D2l Brightspace and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every D2l Brightspace–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever D2l Brightspace or Neo4j 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 D2l Brightspace or Neo4j record.
Observability
Monitoring
Track your D2l Brightspace ⇄ Neo4j sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between D2l Brightspace and Neo4j.
How the D2l Brightspace and Neo4j connectors work
D2l Brightspace
- Integration surface
- Brightspace (Valence) REST API split into independently-versioned Learning Platform (lp) and Learning Environment (le) components, plus the Data Hub / Data Export Framework and Brightspace Data Streams
- Authentication
- OAuth 2.0 authorization-code grant against the D2L auth service (auth.brightspace.com); a registered app holds a client ID and secret with per-scope grants (group:resource:action, e.g. users:userdata:read), short-lived access tokens, and refresh tokens
- Change detection
- Polling Valence endpoints with date/bookmark filters, differential Brightspace Data Sets (BDS) bulk exports for changed rows via the Data Hub, and Brightspace Data Streams webhooks (xAPI activity events) for near-real-time signals
- Capabilities
- read · write · webhooks
- Rate limits
- Per-caller token-bucket credit scheme; each route costs credits, responses carry X-Rate-Limit-Remaining, and over-quota calls return HTTP 429. D2L can adjust per-route credit costs.
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect D2l Brightspace to Neo4j — 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 D2l Brightspace and Neo4j with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
D2l Brightspace
connected
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the D2l Brightspace and Neo4j 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 · D2l Brightspace ⇄ Neo4jCustomers 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.
D2l Brightspace Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
D2l Brightspace and Neo4j integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between D2l Brightspace and Neo4j: authenticate both systems, choose the objects to sync (such as D2l Brightspace's Org Units and Grades), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Neo4j: Neo4j uses a property graph model in which nodes and relationships both carry key-value properties, so edges hold data rather than just linking rows. D2l Brightspace: Differential Brightspace Data Sets can contain duplicate rows with identical values, so consumers must de-duplicate when reading changed data. Stacksync's field mapping accounts for these differences between D2l Brightspace and Neo4j 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 D2l Brightspace and Neo4j 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 D2l Brightspace and Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom D2l Brightspace–Neo4j integration in-house.
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Yes — Stacksync ships production-grade connectors for both D2l Brightspace and Neo4j. 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 D2l Brightspace: Polling Valence endpoints with date/bookmark filters, differential Brightspace Data Sets (BDS) bulk exports for changed rows via the Data Hub, and Brightspace Data Streams webhooks (xAPI activity events) for near-real-time signals. On Neo4j: Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties. 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
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