Can you integrate D2L Brightspace with Databricks?

Explore a D2L Brightspace and Databricks integration with a Stacksync engineer. Stacksync support for D2L Brightspace and Databricks is not established by the connector documentation reviewed for this page. Start with one record and the update your business needs to identify an implementation path.

Can D2L Brightspace and Databricks sync in both directions?

Confirm two-way support with Stacksync for the records and fields you need in both systems. Access to a vendor API does not confirm that its Stacksync connector supports write-back.

What should be ready before the D2L Brightspace and Databricks initial load?

Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the D2L Brightspace account, edition, environment, and business objects the integration must access. Identify the Databricks account, edition, environment, and business objects the integration must access. Use the pair worksheet to record ownership and acceptance criteria.

How fast does the D2L Brightspace to Databricks sync run?

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.

Will existing duplicates merge automatically?

No. Stacksync documents that pre-existing duplicates are not merged automatically when two-way sync begins. Review the initial dataset and matching plan before enabling it; an empty destination can simplify the first load.

How do I map D2L Brightspace fields to Databricks?

Start with one business entity and a stable record ID. Map a small set of editable fields with compatible types, test required values and relationships, then expand after the pilot passes.

What should I do if a record fails to sync?

Check the destination error, field constraints, permissions, and current source value. The Stacksync issues dashboard supports retry and revert; retry reads current source values, so verify the intended record state before acting.

What does a D2L Brightspace and Databricks integration cost?

Use the current Stacksync pricing page and confirm the supported implementation with the team. Scope the required objects, record volume, update frequency, initial load, and support needs when comparing a managed connector with native or custom development.

Which records should the D2L Brightspace and Databricks pilot start with?

Start by reviewing Users in D2L Brightspace and Proposed application user or identity table in Databricks (choose its name) in Databricks. Check how these records relate in your workflow, then confirm the actual fields and supported operations. Test record matching and one failed or repeated update before adding more records.

Human resources / Data warehouse · Two-way sync platform

D2L Brightspace and Databricks integration

Plan how D2L Brightspace and Databricks should share data across your business. Work with Stacksync engineers on record mapping, system access, and the requirements for running the integration.

Scope your workflow with an integration engineer
Review the systems, records, and updates you need

Integration planning

stacksync.com

D2L Brightspace

Databricks

Review the integration scope

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Proposed workflow

Application user or identity reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting eventA change involving D2L Brightspace Users or the proposed application user or identity table in Databricks needs a defined result in the other system.

Start with D2L Brightspace Users and the proposed application user or identity table in Databricks. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve tenant and group references and establish a protected administrative-account policy.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

What to verifyTest a renamed login, disabled account, missing group, and a user existing in two tenants.

Review records and field ownership

Proposed record relationships

Records to connect

Use these examples to define record matching and field ownership for your technical review.

Download the mapping worksheet

CSV · No email required

Example record relationships between D2L Brightspace and Databricks
D2L Brightspace record	Databricks record	Record matching	Field ownership
UsersProposed record; confirm Stacksync object support.Reporting dataset	Proposed application user or identity tableProposed table; choose its name and schema.	Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.	Identity and application owners approve account lifecycle and access changes; synchronize only approved attributes.
Assignments (Dropbox)Proposed record; confirm Stacksync object support.Reporting dataset	Proposed task or work item tableProposed table; choose its name and schema.	Use a stable task/work-item ID and preserve its project or parent-ticket reference.	Choose the owner of task status and assignment; destination workflow states may require an explicit transition.
Groups and SectionsProposed record; confirm Stacksync object support.Reporting dataset	Proposed group or membership tableProposed table; choose its name and schema.	Keep group IDs and membership relationships separately from group names.	The access owner controls membership; reporting a group is different from granting its permissions.

These relationships do not establish connector availability. Review the required connection and record operations with Stacksync.

Record coverage to review

Use documented coverage where available. Catalog record types are starting points for review and do not confirm Stacksync support.

D2L Brightspace

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Users Enrollments Org Units Grades Content (Modules, Topics, and User Progress) Quizzes	Confirm support for this record type and the direction you need.

Discuss D2L Brightspace requirements

Databricks

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Catalogs Schemas Delta Tables Views Materialized Views Volumes	Confirm support for this record type and the direction you need.

Discuss Databricks requirements

Connection essentials

Confirm Stacksync support and account requirements for undocumented connections. Interface information alone does not establish connector availability.

View setup requirements and limits

Connection requirement	D2L Brightspace	Databricks
Integration interface	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	SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication	Confirm the credentials, API plan, and permissions required for D2L Brightspace.	Confirm the credentials, API plan, and permissions required for Databricks.
Change detection	Confirm how Stacksync detects changes for this connector and the objects you need.	Confirm how Stacksync detects changes for this connector and the objects you need.
Read access	Confirm with Stacksync	Confirm with Stacksync
Write access	Confirm with Stacksync	Confirm with Stacksync

Enterprise controls

Security and control for your integrations

Explore security controls

Compliance and data transfers

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

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:

Record-level recovery

Inspect sync errors and use retry and revert controls to resolve failed updates.

Read the recovery guide

Implementation

Technical reference

Review setup, record relationships, testing, and recovery for your implementation.

Authentication, permissions and API limits

Connection requirements and limits

D2L Brightspace

Integration interface: 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: Confirm the credentials, API plan, and permissions required for D2L Brightspace.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the D2L Brightspace account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for D2L Brightspace, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for D2L Brightspace and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Technical documentation

D2L Brightspace vendor API documentation

Databricks

Integration interface: SQL over JDBC/ODBC via SQL warehouses, plus a REST API including statement execution
Authentication: Confirm the credentials, API plan, and permissions required for Databricks.
Change detection: Confirm how Stacksync detects changes for this connector and the objects you need.
Read access: Confirm with Stacksync
Write access: Confirm with Stacksync

Setup requirements

Identify the Databricks account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Databricks, including read/write support, authentication, and initial-load limits.

Limitations to check

Confirm Stacksync support for Databricks and the record types your workflow needs.
Review write-back, deletion handling, update timing, and account limits with the integration team.

Prepare D2L Brightspace and Databricks access

Set up both accounts before testing the mapping. Use test records where available, and identify the account administrator who can approve access and help resolve setup errors.

D2L Brightspace setup checklist

Identify the D2L Brightspace account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for D2L Brightspace, including read/write support, authentication, and initial-load limits.

Databricks setup checklist

Identify the Databricks account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Databricks, including read/write support, authentication, and initial-load limits.

Prepare to go live

Record the fields each system can update, the first-load cutoff, both record IDs, the expected update delay, and who handles errors. Complete the tests before production before expanding to more records.

Use the D2L Brightspace and Databricks planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

Talk to an engineer · Review current pricing

Record identity and field ownership

Use these data-model references to describe the records your connection needs. They are planning examples; connector availability and supported operations must be established before implementation.

Download the mapping worksheet · CSV, no email required

Reporting dataset

Users / Proposed application user or identity table in Databricks (choose its name)

Plan a application user or identity dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

D2L Brightspace: Object support to establish
Databricks: Your database schema
Record identity: Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact.
Field ownership: Identity and application owners approve account lifecycle and access changes; synchronize only approved attributes.

Fields to include

Source user ID
Tenant reference
Account status
Group references

Record dependencies: Resolve tenant and group references and establish a protected administrative-account policy.
Validation: Test a renamed login, disabled account, missing group, and a user existing in two tenants.
Recovery: Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

References: D2L Brightspace: Users documentation

Reporting dataset

Assignments (Dropbox) / Proposed task or work item table in Databricks (choose its name)

Plan a task or work item dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

D2L Brightspace: Object support to establish
Databricks: Your database schema
Record identity: Use a stable task/work-item ID and preserve its project or parent-ticket reference.
Field ownership: Choose the owner of task status and assignment; destination workflow states may require an explicit transition.

Fields to include

Source task ID
Parent reference
Assignee
Status
Due date

Record dependencies: Resolve project, user, and parent-item references before the task.
Validation: Test a reassignment, an unsupported status transition, a deleted parent, and a due date across time zones.
Recovery: Reconcile the destination state before retrying a transition to avoid reopening completed work.

References: D2L Brightspace: Assignments (Dropbox) documentation

Reporting dataset

Groups and Sections / Proposed group or membership table in Databricks (choose its name)

Plan a group or membership dataset while preserving its source meaning.

Planning example. Stacksync support for the required connection and record operations needs a technical review.

D2L Brightspace: Object support to establish
Databricks: Your database schema
Record identity: Keep group IDs and membership relationships separately from group names.
Field ownership: The access owner controls membership; reporting a group is different from granting its permissions.

Fields to include

Source group ID
Member references
Tenant reference
Group type

Record dependencies: Resolve user and tenant identities before membership changes.
Validation: Test removed membership, nested groups, and equal group names in different tenants.
Recovery: Recompute the approved membership delta before retrying; do not replay an outdated access grant.

References: D2L Brightspace: Groups and Sections documentation

Compare integration approaches

Choose a method around one example record and the update your business needs. Use Users / Proposed application user or identity table in Databricks (choose its name) to review record matching and confirm Stacksync support for the required operations. Compare ongoing sync, a custom workflow, and a scheduled export against that requirement.

Stacksync managed sync

Best fit: Review compatibility with a Stacksync engineer using an example of the records and updates you need.
Operating responsibility: Fits ongoing record synchronization when the required operations are supported. Add workflow steps for approvals or business actions that go beyond copying fields.
Before you choose: Check record matching: Use the immutable user ID within the tenant or directory. Do not equate an application user with a CRM customer contact. Verify field coverage, deletion handling, and how changes are detected.

Native vendor integration

Best fit: A vendor-built integration may fit if it supports your D2L Brightspace and Databricks record types.
Operating responsibility: Can reduce setup for a supported workflow. You may need another method for records or business steps it does not cover.
Before you choose: First check whether either vendor offers this integration. If available, verify Users / Proposed application user or identity table in Databricks (choose its name), update direction, account tier, and related-record handling.

Custom API or workflow

Best fit: Consider when D2L Brightspace and Databricks need a transformation, approval, or action outside a direct record sync.
Operating responsibility: Provides control over business steps; the team owns credentials, version changes, error queues, and reconciliation.
Before you choose: Verify endpoint permissions, pagination, quotas, duplicate detection, and failure recovery.

File or scheduled snapshot

Best fit: Consider for a one-time D2L Brightspace / Databricks migration or a reporting need with an explicit freshness window.
Operating responsibility: Can simplify a bounded transfer; later changes and deletion history require another extraction or a separately designed incremental process.
Before you choose: Record the extraction cutoff, source IDs, encoding, date/number formats, and reconciliation totals.

Workflow scenarios and expected results

Application user or identity reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Users or Proposed application user or identity table in Databricks (choose its name) record needs a defined result in the other system.

Start with D2L Brightspace Users and Databricks Proposed application user or identity table in Databricks (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve tenant and group references and establish a protected administrative-account policy.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a renamed login, disabled account, missing group, and a user existing in two tenants.

If it fails: Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

Task or work item reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Assignments (Dropbox) or Proposed task or work item table in Databricks (choose its name) record needs a defined result in the other system.

Start with D2L Brightspace Assignments (Dropbox) and Databricks Proposed task or work item table in Databricks (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve project, user, and parent-item references before the task.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test a reassignment, an unsupported status transition, a deleted parent, and a due date across time zones.

If it fails: Reconcile the destination state before retrying a transition to avoid reopening completed work.

Group or membership reporting workflow

Planning example. Stacksync support for the required connection and record operations needs a technical review.

Starting event: A change to the selected Groups and Sections or Proposed group or membership table in Databricks (choose its name) record needs a defined result in the other system.

Start with D2L Brightspace Groups and Sections and Databricks Proposed group or membership table in Databricks (choose its name). Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve user and tenant identities before membership changes.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Test removed membership, nested groups, and equal group names in different tenants.

If it fails: Recompute the approved membership delta before retrying; do not replay an outdated access grant.

Define an explicit handoff between D2L Brightspace and Databricks

This is an evaluation scenario; connector and operation support require confirmation.

Starting event: A business event involving Users or Assignments (Dropbox) needs a defined response involving a selected destination dataset.

Document what the source event means and which destination record or action should respond. A similar name does not establish a shared entity.
Retain separate IDs and choose whether the destination is a report, a new work item, or a change to an existing record.
Assign an approval owner and a duplicate-detection rule before running an action. Use a custom workflow only after its endpoint support is confirmed.

Expected result: An example input has an unambiguous destination and expected result; repeated delivery produces only the intended change.

If it fails: Resolve missing identity or ambiguous business meaning before retrying; route unsupported operations to the implementation owner.

Initial load and acceptance testing

Keep both record IDs with the expected and actual result. Reconcile the same filters and time window in each system.

Users / Proposed application user or identity table in Databricks (choose its name)

Test case

Test a renamed login, disabled account, missing group, and a user existing in two tenants.

Expected result

The expected application user or identity relationship is preserved with no duplicate action or unintended write.

Assignments (Dropbox) / Proposed task or work item table in Databricks (choose its name)

Test case

Test a reassignment, an unsupported status transition, a deleted parent, and a due date across time zones.

Expected result

The expected task or work item relationship is preserved with no duplicate action or unintended write.

Groups and Sections / Proposed group or membership table in Databricks (choose its name)

Test case

Test removed membership, nested groups, and equal group names in different tenants.

Expected result

The expected group or membership relationship is preserved with no duplicate action or unintended write.

Direction and permissions

Test case

Bring an example source record and the intended destination operation to the compatibility review. Confirm the supported route before granting write access.

Expected result

Only an approved, supported direction and permitted fields are written.

Freshness and reconciliation

Test case

Measure source and destination times for the selected records under normal load and a burst. Reconcile IDs and values using the same filters and cutoff.

Expected result

The process meets its agreed freshness target and reconciliation has no unexplained differences.

Failed updates, retries and recovery

Start with the failed record and the destination error, then inspect the source value, field requirements, and access.

Rejected or repeated application user or identity change

Investigate

Inspect D2L Brightspace Users and Databricks Proposed application user or identity table in Databricks (choose its name), their IDs, and the destination error.

Next action

Review access impact before retrying a lifecycle change; reconcile current identity state and retain an approval trail.

Rejected or repeated task or work item change

Investigate

Inspect D2L Brightspace Assignments (Dropbox) and Databricks Proposed task or work item table in Databricks (choose its name), their IDs, and the destination error.

Next action

Reconcile the destination state before retrying a transition to avoid reopening completed work.

Rejected or repeated group or membership change

Investigate

Inspect D2L Brightspace Groups and Sections and Databricks Proposed group or membership table in Databricks (choose its name), their IDs, and the destination error.

Next action

Recompute the approved membership delta before retrying; do not replay an outdated access grant.

A record type or update is unavailable

Investigate

Check the D2L Brightspace and Databricks connector guides, account permissions, and any operations marked On Request.

Next action

Ask the integration team to confirm a supported way to handle that record. Verify whether it needs connector configuration or a separate workflow step.

Source and destination disagree after a retry

Investigate

Compare current source values, destination validation, identity mappings, and any side effects already completed.

Next action

Stacksync issue retry reads the current source state. Decide the intended state before retrying or reverting; reconcile downstream effects separately.

Read the Stacksync issues dashboard guide for retry and revert behavior.

Change detection and update delivery

How updates move between D2L Brightspace and Databricks

See how each system detects changes and which updates the other system can receive. Each direction has its own permissions and record requirements.

D2L Brightspace Databricks Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in Databricks.

Databricks D2L Brightspace Direction requires confirmation

Detect changesConfirm how Stacksync detects changes for this connector and the objects you need.

Apply updatesConfirm that Stacksync can create or update the records you need in D2L Brightspace.

Update timing and record limits

Measure initial-load and ongoing-change latency separately. Source detection, selected objects, account limits, and destination validation determine the observed delay.
Review write-back, deletion handling, update timing, and account limits with the integration team.
Review write-back, deletion handling, update timing, and account limits with the integration team.

FAQ