Two-way sync
Changes in Elasticsearch or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Keep Elasticsearch 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.
Elasticsearch is where your application's durable data lives; Microsoft Graph is where engineering and operations teams track the issues, events, messages, or identities that run alongside it. The two overlap constantly, a row should open a ticket, an alert should land as a record, a user in one should exist in the other, but bridging them today means per-tool integration code: auth, webhooks, pagination, rate limits, and retries, built and maintained separately for every tool.
Stacksync syncs Index mappings, Aliases, Data streams, Ingest pipelines in Elasticsearch with Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats, Planner tasks in Microsoft Graph 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, so the database and the tooling around it never drift apart.
Records and events from Microsoft Graph arrive in Elasticsearch as rows, so tickets, alerts, messages, or identity changes become joinable data your services and reports read directly.
Read and write the synced tables in Elasticsearch and Stacksync keeps Microsoft Graph current, replacing the auth, webhooks, rate limits, and retry logic you would otherwise maintain for each tool.
Updates in Microsoft Graph arrive as row changes in Elasticsearch, and writes to Elasticsearch propagate to Microsoft Graph within seconds, so triggers, jobs, and alerts fire without polling.
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.
| Elasticsearch objects | Microsoft Graph objects | How this pairing syncs | |
|---|---|---|---|
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | 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. | Indices is specific to Elasticsearch and Groups and memberships to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | 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. | Documents is specific to Elasticsearch and Mail messages (Outlook) to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Calendar events Outlook events via /users/{id}/events; read and write meetings, attendees, and recurrence, and accept or decline invitations. | Index mappings is specific to Elasticsearch and Calendar events to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Contacts Personal Outlook contacts via /users/{id}/contacts; full create, read, update, delete, synced two-way with CRM person records. | Aliases is specific to Elasticsearch and Contacts to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Data streams Append-only targets for time-series or event data pushed from source systems. | 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. | Data streams is specific to Elasticsearch and Drive items (OneDrive & SharePoint) to Microsoft Graph — each maps to any object or custom field on the other side. | |
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | 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. | Ingest pipelines is specific to Elasticsearch and Teams messages and chats 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 Elasticsearch for changes on an incremental schedule, reading only records changed since the previous pass. Polling on timestamp or sequence fields.
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 written to Elasticsearch through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Microsoft Graph connection.
Changes in Elasticsearch or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Elasticsearch 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 Elasticsearch or Microsoft Graph record.
Track your Elasticsearch ⇄ Microsoft Graph sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Elasticsearch 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 Elasticsearch 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 Elasticsearch 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 Elasticsearch and Microsoft Graph: authenticate both systems, choose the objects to sync (such as Elasticsearch's Indices and Documents), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Elasticsearch and Microsoft Graph records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Elasticsearch and Microsoft Graph connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Elasticsearch–Microsoft Graph integration in-house.
Yes — Stacksync ships production-grade connectors for both Elasticsearch and Microsoft Graph. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Microsoft Graph: Delta query (change tracking) returns created, updated, and deleted items since the last deltaLink for users, groups, mail, events, contacts, and driveItems; change-notification subscriptions (webhooks) POST near-real-time notifications to a notification URL and must be renewed before they expire. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Elasticsearch side: Index mappings, Aliases, Data streams, Ingest pipelines, plus custom fields where Elasticsearch exposes them. On the Microsoft Graph side: Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats, Planner tasks. Stacksync auto-detects both schemas and converts types between the two systems.
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 332 integrations available for Elasticsearch and Microsoft Graph.