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Database ⇄ Developer tools

Elasticsearch to Microsoft Graph integration — real-time, two-way sync

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.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Elasticsearch and Microsoft Graph

Keep Elasticsearch and Microsoft Graph in step: the rows in your database and the Contacts, Drive items (OneDrive & SharePoint), Teams messages and chats, Planner tasks your engineering tools track stay consistent in real time, in both directions.

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.

Common use cases

  • 01 Push product catalog data from an ERP or commerce database into Elasticsearch for storefront search.
  • 02 Mirror support tickets into an index used for full-text search and agent-assist tooling.
  • 03 Read Teams channel messages and chats into a warehouse for conversation analytics and compliance archiving, and post messages back for alerts.
  • 04 Sync Planner tasks two-way with a project or ticketing database so task status, assignments, and due dates stay consistent.

Common sync patterns

Land tool activity as queryable rows

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.

One integration pattern instead of per-tool API code

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.

React to changes on either side in near real time

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.

What you can sync between Elasticsearch and Microsoft Graph

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.

How changes propagate between Elasticsearch and Microsoft Graph

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.

Elasticsearch Microsoft Graph Interval-based propagation

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.

Microsoft Graph Elasticsearch Sub-second propagation

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.

Rate-limit considerations

  • Elasticsearch: No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity.
  • Microsoft Graph: Throttled per app and per tenant, returning HTTP 429 with a Retry-After header; limits vary by service — the Outlook mail service allows about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests, and delta and subscription tokens expire and must be renewed.
What ships with Elasticsearch ⇄ Microsoft Graph

Connect Elasticsearch and Microsoft Graph for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Microsoft Graph connection.

Real-time

Two-way sync

Changes in Elasticsearch or Microsoft Graph instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Elasticsearch or Microsoft Graph data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Elasticsearch or Microsoft Graph record.

Observability

Monitoring

Track your Elasticsearch ⇄ Microsoft Graph sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Elasticsearch and Microsoft Graph.

How the Elasticsearch and Microsoft Graph connectors work

Elasticsearch

Integration surface
REST API (JSON over HTTP)
Authentication
API keys or basic authentication; Elastic Cloud also issues service account tokens
Change detection
Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks
Capabilities
read · write
Rate limits
No fixed request quota; throughput is bounded by cluster sizing, thread pools, and bulk queue capacity

Microsoft Graph

Integration surface
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.
Change detection
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.
Capabilities
read · write · webhooks
Rate limits
Throttled per app and per tenant, returning HTTP 429 with a Retry-After header; limits vary by service — the Outlook mail service allows about 10,000 requests per 10 minutes per app per mailbox with up to 4 concurrent requests, and delta and subscription tokens expire and must be renewed.
How it works

How to connect Elasticsearch to Microsoft Graph — three steps, no code

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.

  1. 01

    Connect your apps

    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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Elasticsearch connected
    Microsoft Graph connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Elasticsearch ⇄ Microsoft Graph
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Elasticsearch Microsoft Graph
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Elasticsearch and Microsoft Graph integration FAQ

SECURITY

Security teams trust Stacksync

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.

SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS

SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

Related integrations

Every pair below is a real-time, two-way sync. Search all 332 integrations available for Elasticsearch and Microsoft Graph.

Popular · 5 of 332
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