Two-way sync
Changes in Microsoft Graph or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Graph 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 is the central store where teams keep Schemas, Tables, Views, Materialized Views for reporting and analysis; Microsoft Graph runs the operational side of engineering work — tracking issues, moving messages and events, watching systems, and managing users and access. The two overlap wherever the same operational data matters to both: the Teams messages and chats, Planner tasks, Users, Groups and memberships produced in Microsoft Graph are exactly what analysts want to measure in Snowflake, and the curated rows in Snowflake are what should drive the next action in Microsoft Graph. When that overlap is bridged by nightly ETL or hand-written scripts, dashboards lag a day behind reality and the tools that should react to warehouse signals never see them.
Stacksync syncs Schemas, Tables, Views, Materialized Views in Snowflake with Teams messages and chats, Planner tasks, Users, Groups and memberships in Microsoft Graph field by field, in real time, and in both directions. You decide which system owns which fields; Stacksync matches records on a stable external key, keeps every copy consistent, and resolves conflicts by rules you set — so analytics and operations work from the same current data instead of two drifting copies.
Where Microsoft Graph manages users, directory, or access data, those records stay current in Snowflake — and can be provisioned back from it — so ownership and permissions match across both.
Records created in Microsoft Graph — issues, events, messages, metrics, or user changes — replicate into Snowflake tables as they happen, so reporting runs on current data instead of last night's export.
A row scored, flagged, or enriched in Snowflake creates or updates the matching record in Microsoft Graph, so the operational tool acts on the same data the analysts already see.
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.
| Microsoft Graph objects | Snowflake objects | How this pairing syncs | |
|---|---|---|---|
| Calendar events Outlook events via /users/{id}/events; read and write meetings, attendees, and recurrence, and accept or decline invitations. | Views Modeled projections used as the source side of outbound syncs. | Calendar events is specific to Microsoft Graph and Views to Snowflake — each maps to any object or custom field on the other side. | |
| Contacts Personal Outlook contacts via /users/{id}/contacts; full create, read, update, delete, synced two-way with CRM person records. | Materialized Views Precomputed results synced outward for low-latency reads. | Contacts is specific to Microsoft Graph and Materialized Views to Snowflake — each maps to any object or custom field on the other side. | |
| Drive items (OneDrive & SharePoint) Files and folders via /drives and /me/drive; read and write items, upload and download content, and read per-item metadata. | Streams Row-level change records on a table, consumed to process deltas instead of full scans. | Drive items (OneDrive & SharePoint) is specific to Microsoft Graph and Streams to Snowflake — each maps to any object or custom field on the other side. | |
| Teams messages and chats Channel messages and chats via /teams/{id}/channels and /chats; read message history and post new messages for alerts and archiving. | Stages File staging areas used for bulk loads into synced tables. | Teams messages and chats is specific to Microsoft Graph and Stages to Snowflake — each maps to any object or custom field on the other side. | |
| Planner tasks Plans, buckets, and tasks via /planner; read and write task status, assignments, and due dates to keep project state in sync. | Tasks Scheduled SQL used to transform synced data after it lands. | Planner tasks is specific to Microsoft Graph and Tasks to Snowflake — each maps to any object or custom field on the other side. | |
| Users Entra ID user accounts read and written via /users; create, update profile attributes, and enable or disable accounts with User.ReadWrite.All. | VARIANT Columns Semi-structured JSON payloads stored alongside relational columns. | Users is specific to Microsoft Graph and VARIANT Columns 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.
DetectionMicrosoft Graph notifies Stacksync of record changes through webhook events. Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and.
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 Microsoft Graph through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Graph–Snowflake connection.
Changes in Microsoft Graph or Snowflake instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Graph 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 Microsoft Graph or Snowflake record.
Track your Microsoft Graph ⇄ Snowflake sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Graph 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 Microsoft Graph 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 Microsoft Graph 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.
Yes. Stacksync provides a managed, real-time two-way integration between Microsoft Graph and Snowflake: authenticate both systems, choose the objects to sync (such as Microsoft Graph's Calendar events and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
Microsoft Graph: Microsoft Graph unified REST API (v1.0 and beta) at graph.microsoft.com, spanning Microsoft 365 services — Entra ID, Outlook mail and calendar, OneDrive and SharePoint, Teams, and Planner; supports JSON $batch (up to 20 requests per call). Authentication: OAuth 2.0 via the Microsoft identity platform (Microsoft Entra ID). An app registration holds delegated or application (app-only) scopes such as Mail.ReadWrite, Calendars.ReadWrite, Files.ReadWrite.All, User.ReadWrite.All, and Group.ReadWrite.All; application permissions require tenant admin consent. Snowflake: SQL via JDBC/ODBC and native drivers, plus the Snowflake SQL REST API. Authentication: Dedicated Snowflake service user + role with RSA key-pair authentication (Stacksync-provided public key), created via a setup script requiring SECURITY_ADMIN and ACCOUNTADMIN roles. Stacksync manages authentication, retries, and rate limits on both sides.
Snowflake: Streams expose row-level change records on a table, so downstream consumers can process only deltas rather than rescanning full tables. Microsoft Graph: Application (app-only) permissions require tenant admin consent, and each write needs the matching ReadWrite scope such as Mail.ReadWrite or Group.ReadWrite.All; delegated and application scopes differ per resource. Stacksync's field mapping accounts for these differences between Microsoft Graph and Snowflake without custom code.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Microsoft Graph and Snowflake records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Microsoft Graph and Snowflake connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Microsoft Graph–Snowflake integration in-house.
Yes — Stacksync ships production-grade connectors for both Microsoft Graph and Snowflake. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 359 integrations available for Microsoft Graph and Snowflake.