Two-way sync
Changes in Amazon Redshift or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Keep Amazon Redshift and Microsoft Graph 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 is the central store where teams keep Views, Materialized Views, External Tables (Spectrum), Stored Procedures 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 Mail messages (Outlook), Calendar events, Contacts, Drive items (OneDrive & SharePoint) produced in Microsoft Graph are exactly what analysts want to measure in Amazon Redshift, and the curated rows in Amazon Redshift 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 Views, Materialized Views, External Tables (Spectrum), Stored Procedures in Amazon Redshift with Mail messages (Outlook), Calendar events, Contacts, Drive items (OneDrive & SharePoint) 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.
New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
Where both systems track the same entity, a change on either side propagates to the other, ending the manual reconciliation between the operational copy and the warehouse copy.
Where Microsoft Graph manages users, directory, or access data, those records stay current in Amazon Redshift — and can be provisioned back from it — so ownership and permissions match across both.
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 | Microsoft Graph objects | How this pairing syncs | |
|---|---|---|---|
| Materialized Views Precomputed results that downstream syncs can read for performance. | 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. | Materialized Views is specific to Amazon Redshift and Teams messages and chats to Microsoft Graph — each maps to any object or custom field on the other side. | |
| External Tables (Spectrum) S3-backed tables queryable through Redshift, readable in syncs. | Planner tasks Plans, buckets, and tasks via /planner; read and write task status, assignments, and due dates to keep project state in sync. | External Tables (Spectrum) is specific to Amazon Redshift and Planner tasks to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Stored Procedures SQL procedures sometimes invoked around load steps. | Users Entra ID user accounts read and written via /users; create, update profile attributes, and enable or disable accounts with User.ReadWrite.All. | Stored Procedures is specific to Amazon Redshift and Users to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Users and Groups Principals used to grant a sync connection scoped access. | Groups and memberships Microsoft 365 and security groups via /groups; read and write name, owners, and add/remove members, with membership deltas surfaced by delta query. | Users and Groups is specific to Amazon Redshift and Groups and memberships to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Databases Top-level containers within a cluster or serverless workgroup. | Mail messages (Outlook) Messages via /users/{id}/messages; read and create drafts, update, and send with the sendMail action, so this surface is fully read-write. | Databases is specific to Amazon Redshift and Mail messages (Outlook) to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Schemas Namespaces used to organize synced tables and control grants. | Calendar events Outlook events via /users/{id}/events; read and write meetings, attendees, and recurrence, and accept or decline invitations. | Schemas is specific to Amazon Redshift and Calendar events to Microsoft Graph — 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 Microsoft Graph through its API, with automatic retries and rate-limit backoff.
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 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–Microsoft Graph connection.
Changes in Amazon Redshift or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Amazon Redshift or Microsoft Graph 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 Microsoft Graph record.
Track your Amazon Redshift ⇄ Microsoft Graph sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Amazon Redshift and Microsoft Graph.
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 Microsoft Graph 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 Microsoft Graph 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 Amazon Redshift and Microsoft Graph: authenticate both systems, choose the objects to sync (such as Amazon Redshift's Materialized Views and External Tables (Spectrum)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Amazon Redshift and Microsoft Graph: No batch jobs to babysit; One shared record, kept consistent; Keep user and access records aligned. New and changed records move field by field the moment they change, replacing scheduled ETL and one-off scripts that fail quietly and leave stale rows behind.
Amazon Redshift: SQL over JDBC/ODBC (PostgreSQL-derived protocol); Redshift Data API over HTTPS. Authentication: Database credentials or IAM-based authentication. 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. Stacksync manages authentication, retries, and rate limits on both sides.
Amazon Redshift: Redshift Spectrum lets queries span external tables on S3, so a sync can read data that never gets loaded into cluster storage. Microsoft Graph: Graph throttles per app and per tenant with HTTP 429 and a Retry-After header; the Outlook service caps about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests. Stacksync's field mapping accounts for these differences between Amazon Redshift and Microsoft Graph 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 Amazon Redshift and Microsoft Graph records are not retained after a sync operation.
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 354 integrations available for Amazon Redshift and Microsoft Graph.