Two-way sync
Changes in AWS Aurora MySQL or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora MySQL and Microsoft Dynamics 365 Sales in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Teams sync Microsoft Dynamics 365 Sales with AWS Aurora MySQL to give applications an operational mirror of the CRM. Accounts, Contacts, and Opportunities become Aurora tables queryable with SQL, and updates written to Aurora rows propagate back to Dynamics so product and operations data reaches sellers.
Stacksync mirrors Quotes, Orders, Invoices, Activities from Microsoft Dynamics 365 Sales into Databases (schemas), Tables, Rows, Columns in AWS Aurora MySQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Microsoft Dynamics 365 Sales with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Dynamics 365 Sales Accounts, Contacts, and Leads replicate into Aurora MySQL tables for internal tools.
attributes computed in Aurora rows update Dynamics Opportunities for prioritization and routing.
Quotes and Orders sync into Aurora so downstream systems process them without direct CRM API calls.
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.
| AWS Aurora MySQL objects | Microsoft Dynamics 365 Sales objects | How this pairing syncs | |
|---|---|---|---|
| Databases (schemas) Logical namespaces that scope which tables a sync connection can see. | Leads Prospect records; written in from enrichment or web forms, read out on qualification. | Databases (schemas) is specific to AWS Aurora MySQL and Leads to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Tables The primary sync unit; each table maps one-to-one to a table or object in the paired system. | Opportunities Deal records with stages and estimated revenue; synced for pipeline reporting and close-triggered workflows. | Tables is specific to AWS Aurora MySQL and Opportunities to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Rows Inserted, updated, and deleted individually or in bulk during two-way syncs. | Quotes Pricing proposals; often synced with CPQ or ERP pricing data. | Rows is specific to AWS Aurora MySQL and Quotes to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Columns MySQL data types are mapped to the paired system's field types during schema setup. | Orders Confirmed sales; handed off to ERP systems for fulfillment and billing. | Columns is specific to AWS Aurora MySQL and Orders to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Primary keys and indexes Used to match rows across systems and keep incremental syncs efficient. | Invoices Billing records; usually mastered in the ERP and mirrored back for seller visibility. | Primary keys and indexes is specific to AWS Aurora MySQL and Invoices to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Views Can serve as read-only sync sources for derived or filtered datasets. | Activities Emails, calls, appointments, and tasks; read out for activity analytics. | Views is specific to AWS Aurora MySQL and Activities to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. |
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.
DetectionChanges in AWS Aurora MySQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback.
DeliveryEach detected change is written to Microsoft Dynamics 365 Sales through its API, with automatic retries and rate-limit backoff.
DetectionMicrosoft Dynamics 365 Sales notifies Stacksync of record changes through webhook events. Dataverse change tracking with delta tokens, plus registered webhooks on table events.
DeliveryEach detected change is applied to AWS Aurora MySQL as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora MySQL–Microsoft Dynamics 365 Sales connection.
Changes in AWS Aurora MySQL or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora MySQL or Microsoft Dynamics 365 Sales data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora MySQL or Microsoft Dynamics 365 Sales record.
Track your AWS Aurora MySQL ⇄ Microsoft Dynamics 365 Sales sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora MySQL and Microsoft Dynamics 365 Sales.
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.
Authenticate AWS Aurora MySQL and Microsoft Dynamics 365 Sales with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the AWS Aurora MySQL and Microsoft Dynamics 365 Sales 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between AWS Aurora MySQL and Microsoft Dynamics 365 Sales: authenticate both systems, choose the objects to sync (such as AWS Aurora MySQL's Databases (schemas) and Tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Microsoft Dynamics 365 Sales: Data lives in Dataverse tables exposed through an OData v4 Web API, so standard query options handle filtering, expansion, and paging. AWS Aurora MySQL: Aurora separates compute from a distributed storage layer that replicates data six ways across three Availability Zones, independent of the instances that CDC readers and sync writers connect to. Stacksync's field mapping accounts for these differences between AWS Aurora MySQL and Microsoft Dynamics 365 Sales without custom code.
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 AWS Aurora MySQL and Microsoft Dynamics 365 Sales records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora MySQL and Microsoft Dynamics 365 Sales connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora MySQL–Microsoft Dynamics 365 Sales integration in-house.
Yes — Stacksync ships production-grade connectors for both AWS Aurora MySQL and Microsoft Dynamics 365 Sales. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on AWS Aurora MySQL: Log-based CDC via the MySQL binary log (binlog), with polling on timestamp columns as a fallback. On Microsoft Dynamics 365 Sales: Dataverse change tracking with delta tokens, plus registered webhooks on table events. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 377 integrations available for AWS Aurora MySQL and Microsoft Dynamics 365 Sales.