Two-way sync
Changes in Sharepoint or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Sharepoint and Snowflake in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Snowflake 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 Snowflake, or a result in Snowflake 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 Schemas, Tables, Views, Materialized Views in Snowflake with Columns and content types, Permissions and sharing, Site pages, Sites 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.
Where the same dataset lives as a file in Sharepoint and a table in Snowflake, a change on either side propagates to the other, ending the drift between the file people read and the table people query.
The catalog of documents, owners, and folders in Sharepoint appears as Schemas, Tables, Views, Materialized Views in Snowflake, so file metadata can be joined against the rest of your data and reported on.
Classifications, scores, or status derived in Snowflake are written back onto the matching Columns and content types, Permissions and sharing, Site pages, Sites in Sharepoint as metadata or tags, so the file store reflects what analytics decided.
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.
| Sharepoint objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Virtual Warehouses The compute a sync's queries run on, sized independently of storage. | List items is specific to Sharepoint and Virtual Warehouses to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Databases Top-level containers that scope which data a sync can touch. | Drive items (document libraries) is specific to Sharepoint and Databases to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Schemas Namespaces within a database used to organize synced tables. | Columns and content types is specific to Sharepoint and Schemas to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Tables The main landing and activation target for synced records. | Permissions and sharing is specific to Sharepoint and Tables to Snowflake — each maps to any object or custom field on the other side. | |
| Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. | Views Modeled projections used as the source side of outbound syncs. | Site pages is specific to Sharepoint and Views to Snowflake — each maps to any object or custom field on the other side. | |
| 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. | Materialized Views Precomputed results synced outward for low-latency reads. | Sites is specific to Sharepoint and Materialized Views to Snowflake — 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.
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 Snowflake as a row-level write, with types converted between the two schemas.
DetectionChanges in Snowflake are captured at the source via change data capture — no polling loop against its API. The setup script grants "create stream" on synced schemas (Snowflake streams), but the docs do not name the change-capture mechanism.
DeliveryEach detected change is written to Sharepoint through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Sharepoint–Snowflake connection.
Changes in Sharepoint or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Sharepoint or Snowflake data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Sharepoint or Snowflake record.
Track your Sharepoint ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Sharepoint and Snowflake.
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 Sharepoint and Snowflake 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 Sharepoint and Snowflake 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 538 integrations available for Sharepoint and Snowflake.