Can you integrate Amazon RDS with Microsoft Dynamics 365?

Explore a Amazon RDS and Microsoft Dynamics 365 integration with a Stacksync engineer. Stacksync support for Amazon RDS 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 Amazon RDS and Microsoft Dynamics 365 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 Amazon RDS and Microsoft Dynamics 365 initial load?

Prepare both accounts, the selected object schemas, stable source and destination IDs, and the expected outcome. Identify the Amazon RDS account, edition, environment, and business objects the integration must access. Provide the Dynamics CRM environment URL and authorize the Stacksync app with Microsoft sign-in. Use the pair worksheet to record ownership and acceptance criteria.

How fast does the Amazon RDS to Microsoft Dynamics 365 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 Amazon RDS fields to Microsoft Dynamics 365?

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 Amazon RDS and Microsoft Dynamics 365 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 Amazon RDS and Microsoft Dynamics 365 pilot start with?

Start by reviewing Proposed company table in Amazon RDS (choose its name) in Amazon RDS and Accounts in Microsoft Dynamics 365. 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.

Database / Business productivity

Amazon RDS and Microsoft Dynamics 365 integration

Plan how Amazon RDS and Microsoft Dynamics 365 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

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Amazon RDS

Microsoft Dynamics 365

Review the integration scope

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Proposed workflow

Company reporting workflow

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

Starting eventA change involving the proposed company table in Amazon RDS or Microsoft Dynamics 365 Accounts needs a defined result in the other system.

Start with the proposed company table in Amazon RDS and Microsoft Dynamics 365 Accounts. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve parent organizations, business units, and currency references before dependent transactions.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

What to verifyUse two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.

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 Amazon RDS and Microsoft Dynamics 365
Amazon RDS record	Microsoft Dynamics 365 record	Record matching	Field ownership
Proposed company tableProposed table; choose its name and schema.Reporting dataset	AccountsProposed record; confirm Stacksync object support.	Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient.	Assign ownership separately for relationship details and finance-controlled billing details.
Proposed contact tableProposed table; choose its name and schema.Reporting dataset	ContactsProposed record; confirm Stacksync object support.	Use a stable person/contact ID and an explicit cross-system lookup. Email can change and can be shared, so treat it as a matching clue rather than a universal key.	Keep consent and communication preferences under an agreed authority; a general contact update must not silently resubscribe someone.
Proposed deal or opportunity tableProposed table; choose its name and schema.Reporting dataset	OpportunitiesProposed record; confirm Stacksync object support.	Keep the opportunity/deal ID separate from any later order or invoice ID.	The sales process owns qualification and stage changes; downstream financial records have their own state and approval rules.

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.

Amazon RDS

Connection and object support require review

Record types to review with Stacksync

Record types	Coverage and requirements
Tables Databases Schemas Views Columns Primary and Unique Keys	Confirm support for this record type and the direction you need.

Discuss Amazon RDS requirements

Microsoft Dynamics 365

Read and write support varies by record

Record types covered in the setup guide

Record types	Coverage and requirements
Standard entities	Requires account access and compatible change tracking. Confirm field permissions and sync direction.
Custom entities	Requires API exposure and compatible change tracking. Confirm field permissions and sync direction.

Read the Microsoft Dynamics 365 connector guide

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	Amazon RDS	Microsoft Dynamics 365
Integration interface	SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)	REST API (Dataverse Web API, OData v4); Finance & Operations apps expose a separate OData data-entity surface
Authentication	Confirm the credentials, API plan, and permissions required for Amazon RDS.	Microsoft OAuth sign-in
Change detection	Confirm how Stacksync detects changes for this connector and the objects you need.	Incremental sync uses Dynamics Change Tracking; custom entities need Track Changes enabled.
Read access	Confirm with Stacksync	Available for supported records
Write access	Confirm with Stacksync	Available for supported records

Enterprise controls

Security and control for your integrations

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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.

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ISO 27001
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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

Amazon RDS

Integration interface: SQL wire protocol of the chosen engine (PostgreSQL, MySQL, MariaDB, SQL Server, Oracle)
Authentication: Confirm the credentials, API plan, and permissions required for Amazon RDS.
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 Amazon RDS account, edition, environment, and business objects the integration must access.
Confirm a Stacksync connector or implementation path for Amazon RDS, including read/write support, authentication, and initial-load limits.

Limitations to check

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

Microsoft Dynamics 365

Integration interface: REST API (Dataverse Web API, OData v4); Finance & Operations apps expose a separate OData data-entity surface
Authentication: Microsoft OAuth sign-in: user provides the D365 environment URL, signs in with Microsoft credentials, and accepts the Stacksync app (permissions to read CRM data and interact with OData entities)
Change detection: Incremental sync uses Dynamics Change Tracking; custom entities need Track Changes enabled.
Read access: Available for supported records
Write access: Available for supported records

Setup requirements

Provide the Dynamics CRM environment URL and authorize the Stacksync app with Microsoft sign-in.
For custom entities, enable Track Changes in Power Apps/Dataverse before validating incremental updates.

Limitations to check

Custom-entity change tracking must be enabled before incremental changes can be captured.

Technical documentation

Documentation reviewed 2026-09-15. Check the linked guides for current account and record requirements.

Microsoft Dynamics 365 setup guide

Prepare Amazon RDS and Microsoft Dynamics 365 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.

Amazon RDS setup checklist

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

Microsoft Dynamics 365 setup checklist

Provide the Dynamics CRM environment URL and authorize the Stacksync app with Microsoft sign-in.
For custom entities, enable Track Changes in Power Apps/Dataverse before validating incremental updates.

Setup guides: Authorize Dynamics 365 CRM

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 Amazon RDS and Microsoft Dynamics 365 planning worksheet to capture these decisions. Record the access owner in the worksheet and enter credentials only in the connection setup.

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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

Proposed company table in Amazon RDS (choose its name) / Accounts

Plan a company dataset while preserving its source meaning.

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

Amazon RDS: Your database schema
Microsoft Dynamics 365: Object support to establish
Record identity: Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient.
Field ownership: Assign ownership separately for relationship details and finance-controlled billing details.

Fields to include

Source record ID
Legal or display name
Business-unit reference
Lifecycle status

Record dependencies: Resolve parent organizations, business units, and currency references before dependent transactions.
Validation: Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.
Recovery: Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.

References: Microsoft Dynamics 365: Accounts documentation

Reporting dataset

Proposed contact table in Amazon RDS (choose its name) / Contacts

Plan a contact dataset while preserving its source meaning.

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

Amazon RDS: Your database schema
Microsoft Dynamics 365: Object support to establish
Record identity: Use a stable person/contact ID and an explicit cross-system lookup. Email can change and can be shared, so treat it as a matching clue rather than a universal key.
Field ownership: Keep consent and communication preferences under an agreed authority; a general contact update must not silently resubscribe someone.

Fields to include

Source person ID
Display name
Email address
Organization reference
Consent state

Record dependencies: Resolve the organization relationship and any owner or consent references required by the destination.
Validation: Test an email change, two records sharing an email, and a person associated with multiple organizations.
Recovery: Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.

References: Microsoft Dynamics 365: Contacts documentation

Reporting dataset

Proposed deal or opportunity table in Amazon RDS (choose its name) / Opportunities

Plan a deal or opportunity dataset while preserving its source meaning.

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

Amazon RDS: Your database schema
Microsoft Dynamics 365: Object support to establish
Record identity: Keep the opportunity/deal ID separate from any later order or invoice ID.
Field ownership: The sales process owns qualification and stage changes; downstream financial records have their own state and approval rules.

Fields to include

Source deal ID
Stage
Amount and currency
Expected close date
Company reference

Record dependencies: Map the customer and sales pipeline before the opportunity; map stage values deliberately.
Validation: Test a reopened won deal, a stage with no destination equivalent, and an amount using a different currency.
Recovery: Suspend downstream creation for a rejected deal and review whether an order already exists before retrying.

References: Microsoft Dynamics 365: Opportunities documentation

Reporting dataset

Proposed prospect or lead table in Amazon RDS (choose its name) / Leads

Plan a prospect or lead dataset while preserving its source meaning.

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

Amazon RDS: Your database schema
Microsoft Dynamics 365: Object support to establish
Record identity: Retain the lead ID and record its relationship to any converted contact or company.
Field ownership: Choose which system may qualify or convert the lead; do not infer identical lifecycle stages.

Fields to include

Source lead ID
Qualification status
Owner reference
Conversion reference

Record dependencies: Resolve owner and campaign references and decide how conversion changes the identity relationship.
Validation: Convert a test lead after the first load and verify that it does not create a duplicate person or orphan its activity.
Recovery: Repair the lead-to-contact conversion link before replaying later updates.

References: Microsoft Dynamics 365: Leads documentation

Reporting dataset

Proposed product or catalog item table in Amazon RDS (choose its name) / Products

Plan a product or catalog item dataset while preserving its source meaning.

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

Amazon RDS: Your database schema
Microsoft Dynamics 365: Object support to establish
Record identity: Distinguish the product ID, variant ID, SKU, and price-list entry; they are not interchangeable keys.
Field ownership: Assign ownership for catalog content, price, and stock separately.

Fields to include

Source product ID
SKU or variant reference
Description
Unit of measure
Price-list reference

Record dependencies: Resolve units, variants, categories, and applicable price lists before order lines.
Validation: Test two variants of one product, a changed SKU, and a price that applies to only one market or currency.
Recovery: Repair the variant or price-list reference before retrying affected order lines; preserve existing transaction prices.

References: Microsoft Dynamics 365: Products documentation

Reporting dataset

Proposed customer invoice table in Amazon RDS (choose its name) / Quotes, Orders & Invoices

Plan a customer invoice dataset while preserving its source meaning.

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

Amazon RDS: Your database schema
Microsoft Dynamics 365: Object support to establish
Record identity: Retain the invoice ID, issuer/legal entity, and original order reference; invoice numbers alone may overlap.
Field ownership: The financial system owns posting and accounting treatment. A posted invoice may need a credit or adjustment process instead of an overwrite.

Fields to include

Source invoice ID
Customer or supplier reference
Line totals
Currency
Posting/payment status

Record dependencies: Resolve the customer or supplier, account codes, tax, currency, and accounting period before posting.
Validation: Test a posted invoice, a partial payment, tax rounding, and a closed accounting period. Compare financial totals within the same entity and currency.
Recovery: Determine whether a transaction posted before retrying. Follow the approved adjustment process for posted records.

References: Microsoft Dynamics 365: Quotes, Orders & Invoices documentation

Compare integration approaches

Choose a method around one example record and the update your business needs. Use Proposed company table in Amazon RDS (choose its name) / Accounts 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: Retain the source company ID and the destination customer/company ID. Separate legal entities, subsidiaries, and business units; a shared name or web domain is insufficient. 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 Amazon RDS and Microsoft Dynamics 365 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 Proposed company table in Amazon RDS (choose its name) / Accounts, update direction, account tier, and related-record handling.

Custom API or workflow

Best fit: Consider when Amazon RDS and Microsoft Dynamics 365 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 Amazon RDS / Microsoft Dynamics 365 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

Company reporting workflow

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

Starting event: A change to the selected Proposed company table in Amazon RDS (choose its name) or Accounts record needs a defined result in the other system.

Start with Amazon RDS Proposed company table in Amazon RDS (choose its name) and Microsoft Dynamics 365 Accounts. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve parent organizations, business units, and currency references before dependent transactions.
Test a normal update and one failed or repeated update in the supported direction. Keep both record IDs with the test results.

Expected result: Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.

If it fails: Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.

Contact reporting workflow

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

Starting event: A change to the selected Proposed contact table in Amazon RDS (choose its name) or Contacts record needs a defined result in the other system.

Start with Amazon RDS Proposed contact table in Amazon RDS (choose its name) and Microsoft Dynamics 365 Contacts. Use the record-matching and field-ownership rules from your mapping worksheet.
Resolve the organization relationship and any owner or consent references required by the destination.
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 an email change, two records sharing an email, and a person associated with multiple organizations.

If it fails: Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.

Deal or opportunity reporting workflow

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

Starting event: A change to the selected Proposed deal or opportunity table in Amazon RDS (choose its name) or Opportunities record needs a defined result in the other system.

Start with Amazon RDS Proposed deal or opportunity table in Amazon RDS (choose its name) and Microsoft Dynamics 365 Opportunities. Use the record-matching and field-ownership rules from your mapping worksheet.
Map the customer and sales pipeline before the opportunity; map stage values deliberately.
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 reopened won deal, a stage with no destination equivalent, and an amount using a different currency.

If it fails: Suspend downstream creation for a rejected deal and review whether an order already exists before retrying.

Define an explicit handoff between Amazon RDS and Microsoft Dynamics 365

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

Starting event: A business event involving a selected business dataset needs a defined response involving Accounts or Contacts.

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.

Proposed company table in Amazon RDS (choose its name) / Accounts

Test case

Use two organizations with similar names and one with multiple business units. Verify that an update reaches the intended entity only.

Expected result

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

Proposed contact table in Amazon RDS (choose its name) / Contacts

Test case

Test an email change, two records sharing an email, and a person associated with multiple organizations.

Expected result

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

Proposed deal or opportunity table in Amazon RDS (choose its name) / Opportunities

Test case

Test a reopened won deal, a stage with no destination equivalent, and an amount using a different currency.

Expected result

The expected deal or opportunity relationship is preserved with no duplicate action or unintended write.

Proposed prospect or lead table in Amazon RDS (choose its name) / Leads

Test case

Convert a test lead after the first load and verify that it does not create a duplicate person or orphan its activity.

Expected result

The expected prospect or lead 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 company change

Investigate

Inspect Amazon RDS Proposed company table in Amazon RDS (choose its name) and Microsoft Dynamics 365 Accounts, their IDs, and the destination error.

Next action

Repair the cross-system ID relationship before retrying dependent records; do not merge companies solely to remove a sync error.

Rejected or repeated contact change

Investigate

Inspect Amazon RDS Proposed contact table in Amazon RDS (choose its name) and Microsoft Dynamics 365 Contacts, their IDs, and the destination error.

Next action

Hold ambiguous matches for review and reconcile the person ID before retrying; preserve the consent decision already recorded by its owner.

Rejected or repeated deal or opportunity change

Investigate

Inspect Amazon RDS Proposed deal or opportunity table in Amazon RDS (choose its name) and Microsoft Dynamics 365 Opportunities, their IDs, and the destination error.

Next action

Suspend downstream creation for a rejected deal and review whether an order already exists before retrying.

A record type or update is unavailable

Investigate

Check the Amazon RDS and Microsoft Dynamics 365 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 Amazon RDS and Microsoft Dynamics 365

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

Amazon RDS Microsoft Dynamics 365 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 Microsoft Dynamics 365.

Microsoft Dynamics 365 Amazon RDS Direction requires confirmation

Detect changesIncremental sync uses Dynamics Change Tracking; custom entities need Track Changes enabled.

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

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.
Custom-entity change tracking must be enabled before incremental changes can be captured.

FAQ