Two-way sync
Changes in Amazon RDS or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon RDS and Sharepoint in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
A database holds structured records; a storage system holds the files those records depend on, such as contracts, images, exports, uploads, and documents. The two describe the same things from opposite sides: a row in Amazon RDS says a file exists and carries its name, location, and status, while Sharepoint holds the bytes. Linked only by a hand-kept path or a one-off script, the two drift the moment a file is renamed, moved, or deleted and the record still points at where it used to be.
Stacksync syncs Views, Columns, Primary and Unique Keys, Read Replicas in Amazon RDS with Sites, Lists, List items, Drive items (document libraries) in Sharepoint bi-directionally and in real time. File attributes, including name, path or object key, size, type, modified time, owner, and tags or custom properties, map field by field to columns on the matching row, and a change on either side shows up on the other within seconds. New files appear as rows, metadata edits travel in the direction you choose, and deletes stay consistent, with conflict rules you set in place of nightly reconciliation scripts.
Rows from Amazon RDS are written out to Sharepoint as files on a schedule or as they change, giving a durable, low-cost copy for backup, compliance, or a data lake, without a custom export job to maintain.
Every file or object in Sharepoint shows up as a row in Amazon RDS, with its name, folder or key, size, type, and modified date as columns, so the contents of the store can be listed, filtered, and joined like any other table.
Tags, custom properties, owner, or status columns edited on a row in Amazon RDS write back to the matching file's metadata in Sharepoint, and metadata changed in Sharepoint updates the row, so the two never disagree about a file.
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.
| Amazon RDS objects | Sharepoint objects | How this pairing syncs | |
|---|---|---|---|
| Tables The core sync target; rows map to records in connected SaaS systems. | Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. | Tables is specific to Amazon RDS and Site pages to Sharepoint — each maps to any object or custom field on the other side. | |
| Views Read-side projections exposed to outbound syncs. | Sites SharePoint site collections and subsites via /sites; read site properties and discover the document libraries (drives) and lists each site contains, addressed by hostname and site path or site ID. | Views is specific to Amazon RDS and Sites to Sharepoint — each maps to any object or custom field on the other side. | |
| Columns Field-level mapping targets, typed per the underlying engine. | Lists Custom lists and libraries via /sites/{id}/lists; create and read lists along with their columns and content types so a target system can mirror or provision list definitions. | Columns is specific to Amazon RDS and Lists to Sharepoint — each maps to any object or custom field on the other side. | |
| Primary and Unique Keys Match keys for idempotent upserts. | List items Rows in a SharePoint list via /lists/{id}/items with a fields facet of column values; full create, read, update, and delete, synced two-way with database rows. | Primary and Unique Keys is specific to Amazon RDS and List items to Sharepoint — each maps to any object or custom field on the other side. | |
| Read Replicas Low-impact read endpoints often used as the source side of a sync. | Drive items (document libraries) Files and folders in a library's drive via /drives and /drive/root; upload, download, move, delete, and read per-item metadata, synced two-way with a store. | Read Replicas is specific to Amazon RDS and Drive items (document libraries) to Sharepoint — each maps to any object or custom field on the other side. | |
| Stored Procedures Engine-specific logic that can react to synced rows. | Columns and content types Field definitions and content types on a site or list; read the schema and create columns so database fields map cleanly onto SharePoint list fields. | Stored Procedures is specific to Amazon RDS and Columns and content types to Sharepoint — 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 Amazon RDS are captured at the source via change data capture — no polling loop against its API. Engine-native log-based CDC: MySQL/MariaDB binlog, PostgreSQL logical replication, SQL Server CDC.
DeliveryEach detected change is written to Sharepoint through its API, with automatic retries and rate-limit backoff.
DetectionSharepoint notifies Stacksync of record changes through webhook events. Delta query (pull) tracks created, updated, and deleted list items (/lists/{id}/items/delta) and drive items (/drives/{id}/root/delta) since the last.
DeliveryEach detected change is applied to Amazon RDS as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Amazon RDS–Sharepoint connection.
Changes in Amazon RDS or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon RDS or Sharepoint data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Amazon RDS or Sharepoint record.
Track your Amazon RDS ⇄ Sharepoint sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon RDS and Sharepoint.
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 Amazon RDS and Sharepoint 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 Amazon RDS and Sharepoint 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.
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 445 integrations available for Amazon RDS and Sharepoint.