Two-way sync
Changes in Amazon Redshift or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift 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.
Amazon Redshift keeps the tables and query results a business reports on; Sharepoint keeps the raw files, documents, and objects that the same business produces and shares. The two overlap wherever a dataset lives as both — a file dropped in Sharepoint that has to become rows in Amazon Redshift, or a result in Amazon Redshift that people downstream need back as a file in Sharepoint. When that overlap is bridged by manual export and import or an overnight job, one side spends the day working from a stale copy.
Stacksync syncs Views, Materialized Views, External Tables (Spectrum), Stored Procedures in Amazon Redshift with Lists, List items, Drive items (document libraries), Columns and content types in Sharepoint field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
The catalog of documents, owners, and folders in Sharepoint appears as Views, Materialized Views, External Tables (Spectrum), Stored Procedures in Amazon Redshift, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in Amazon Redshift are written back onto the matching Lists, List items, Drive items (document libraries), Columns and content types in Sharepoint as metadata or tags, so the file store reflects what analytics decided.
Files and exports that arrive in Sharepoint are parsed into Views, Materialized Views, External Tables (Spectrum), Stored Procedures in Amazon Redshift as they land, so analysts query current data instead of waiting on the next scheduled load.
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 Redshift objects | Sharepoint objects | How this pairing syncs | |
|---|---|---|---|
| Stored Procedures SQL procedures sometimes invoked around load steps. | Permissions and sharing Role assignments and sharing links on sites, list items, and drive items; read and written to manage access, requiring Sites.Manage.All or Sites.FullControl.All scopes. | Stored Procedures is specific to Amazon Redshift and Permissions and sharing to Sharepoint — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. | Users and Groups is specific to Amazon Redshift and Site pages to Sharepoint — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | 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. | Databases is specific to Amazon Redshift and Sites to Sharepoint — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | 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. | Schemas is specific to Amazon Redshift and Lists to Sharepoint — each maps to any object or custom field on the other side. | |
| Tables Columnar tables used as sync destinations for SaaS and database data. | 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. | Tables is specific to Amazon Redshift and List items to Sharepoint — each maps to any object or custom field on the other side. | |
| Views SQL views readable as modeled sources for reverse syncs. | 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. | Views is specific to Amazon Redshift and Drive items (document libraries) 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.
DetectionStacksync polls Amazon Redshift for changes on an incremental schedule, reading only records changed since the previous pass. Polling or query-based diffing.
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 Redshift 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 Redshift–Sharepoint connection.
Changes in Amazon Redshift or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift 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 Redshift or Sharepoint record.
Track your Amazon Redshift ⇄ Sharepoint sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift 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 Redshift 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 Redshift 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 533 integrations available for Amazon Redshift and Sharepoint.