Two-way sync
Changes in Firebase or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Keep Firebase 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 Firebase 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 Firestore Documents, Subcollections, Realtime Database Nodes, Authentication Users in Firebase with Lists, List items, Drive items (document libraries), Columns and content types 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.
Files that arrive in a folder or bucket in Sharepoint become rows in Firebase as they land, so a database-driven process can pick them up without polling the storage system's API.
Rows from Firebase 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 Firebase, 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.
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.
| Firebase objects | Sharepoint objects | How this pairing syncs | |
|---|---|---|---|
| Cloud Storage Objects Files referenced from documents; usually synced as metadata plus URLs. | Site pages Modern site pages via /sites/{id}/pages; read page content, layout, and metadata for indexing and content governance. | Cloud Storage Objects is specific to Firebase and Site pages to Sharepoint — each maps to any object or custom field on the other side. | |
| Cloud Functions Triggers Server-side hooks that fire on document changes and can push updates outward. | 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. | Cloud Functions Triggers is specific to Firebase and Sites to Sharepoint — each maps to any object or custom field on the other side. | |
| Firestore Collections Top-level groupings of documents that a sync maps to tables or SaaS objects. | 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. | Firestore Collections is specific to Firebase and Lists to Sharepoint — each maps to any object or custom field on the other side. | |
| Firestore Documents Schemaless JSON-like records, the primary unit synced to and from external systems. | 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. | Firestore Documents is specific to Firebase and List items to Sharepoint — each maps to any object or custom field on the other side. | |
| Subcollections Nested collections under documents, typically flattened into related tables during 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. | Subcollections is specific to Firebase and Drive items (document libraries) to Sharepoint — each maps to any object or custom field on the other side. | |
| Realtime Database Nodes JSON tree paths in the older Realtime Database, synced by path. | 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. | Realtime Database Nodes is specific to Firebase 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.
DetectionStacksync polls Firebase for changes on an incremental schedule, reading only records changed since the previous pass. Real-time snapshot listeners on Firestore queries and Cloud Functions triggers on document changes.
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 written to Firebase through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Firebase–Sharepoint connection.
Changes in Firebase or Sharepoint instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Firebase 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 Firebase or Sharepoint record.
Track your Firebase ⇄ Sharepoint sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Firebase 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 Firebase 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 Firebase 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 523 integrations available for Firebase and Sharepoint.