Two-way sync
Changes in AWS Aurora PostgreSQL or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL 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 connect Microsoft Dynamics 365 Sales to AWS Aurora PostgreSQL to give engineering and data teams a SQL-accessible copy of the CRM. Accounts, Contacts, and Opportunities sync into Aurora tables that internal applications can read and update, with changes flowing back to Dynamics.
Stacksync mirrors Quotes, Orders, Invoices, Activities from Microsoft Dynamics 365 Sales into Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications in AWS Aurora PostgreSQL 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 PostgreSQL rows for application access.
Opportunities and Quotes sync to Aurora tables so forecasting views run on live pipeline data.
edits to Account rows in Aurora write back to Dynamics 365 Sales for the sales team.
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 PostgreSQL objects | Microsoft Dynamics 365 Sales objects | How this pairing syncs | |
|---|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Custom Tables Tenant-defined Dataverse tables; exposed through the same Web API as standard tables. | Columns is specific to AWS Aurora PostgreSQL and Custom Tables to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Accounts Company records in Dataverse; the usual anchor for two-way sync with databases and ERPs. | Primary keys and constraints is specific to AWS Aurora PostgreSQL and Accounts to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Contacts Person records linked to accounts; synced with marketing and support systems. | Views and materialized views is specific to AWS Aurora PostgreSQL and Contacts to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Leads Prospect records; written in from enrichment or web forms, read out on qualification. | Foreign keys is specific to AWS Aurora PostgreSQL and Leads to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Opportunities Deal records with stages and estimated revenue; synced for pipeline reporting and close-triggered workflows. | Replication slots and publications is specific to AWS Aurora PostgreSQL and Opportunities to Microsoft Dynamics 365 Sales — each maps to any object or custom field on the other side. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Quotes Pricing proposals; often synced with CPQ or ERP pricing data. | Databases and schemas is specific to AWS Aurora PostgreSQL and Quotes 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 PostgreSQL are captured at the source via change data capture — no polling loop against its API. Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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 PostgreSQL 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 PostgreSQL–Microsoft Dynamics 365 Sales connection.
Changes in AWS Aurora PostgreSQL or Microsoft Dynamics 365 Sales instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL 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 PostgreSQL or Microsoft Dynamics 365 Sales record.
Track your AWS Aurora PostgreSQL ⇄ 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL 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 PostgreSQL and Microsoft Dynamics 365 Sales: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Change detection on AWS Aurora PostgreSQL: Log-based CDC via PostgreSQL logical replication (WAL decoding through replication slots), with timestamp polling 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.
On the Microsoft Dynamics 365 Sales side: Quotes, Orders, Invoices, Activities, plus custom fields where Microsoft Dynamics 365 Sales exposes them. On the AWS Aurora PostgreSQL side: Primary keys and constraints, Views and materialized views, Foreign keys, Replication slots and publications. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for AWS Aurora PostgreSQL and Microsoft Dynamics 365 Sales: CRM operational mirror; Pipeline analytics; Bidirectional account updates. Dynamics 365 Sales Accounts, Contacts, and Leads replicate into Aurora PostgreSQL rows for application access.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Microsoft Dynamics 365 Sales: Dataverse Web API (OData v4 REST). Authentication: OAuth 2.0 via Microsoft Entra ID. Stacksync manages authentication, retries, and rate limits on both sides.
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.
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Every pair below is a real-time, two-way sync. Search all 379 integrations available for AWS Aurora PostgreSQL and Microsoft Dynamics 365 Sales.