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Database ⇄ Business productivity

Elasticsearch to Microsoft 365 integration — real-time, two-way sync

Keep Elasticsearch and Microsoft 365 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

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

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Why teams connect Elasticsearch and Microsoft 365

Mirror Microsoft 365's data into Elasticsearch so your own code can read and write it like any other table, with changes flowing both ways in seconds.

Engineers integrate with tools like Microsoft 365 through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in Elasticsearch.

Stacksync mirrors Mail Messages, Calendar Events, Contacts, OneDrive Files (driveItems) from Microsoft 365 into Data streams, Ingest pipelines, Index templates, Indices in Elasticsearch and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into Microsoft 365, so the tool and the database never disagree.

Common use cases

  • Sync SharePoint lists with operational databases so business users edit in SharePoint while systems read SQL.
  • Archive mail and file metadata into a warehouse for compliance and activity analytics.
  • Feed enriched customer records into an index used for vector or hybrid search in AI applications.
  • Sync CRM accounts and contacts into an Elasticsearch index to power internal search across customer records.

React to changes as they happen

Updates in Microsoft 365 arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.

One integration pattern for the whole stack

Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.

Read Microsoft 365 with a query

Records from Microsoft 365 are ordinary rows in Elasticsearch; join them, index them, and use them in application logic without touching the vendor API.

What you can sync between Elasticsearch and Microsoft 365

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 365 objects
Index templates Reusable settings and mappings applied automatically to new indices a sync creates. Groups Microsoft 365 and security groups kept aligned with org structure and access rules.
Indices Target containers for synced records; each holds a table-like collection of JSON documents. Mail Messages Exchange Online messages read for logging, archiving, or activity capture.
Documents The unit of sync; JSON records created, updated, and deleted by _id. Calendar Events Events synced with scheduling tools and CRMs for meeting visibility.
Index mappings Field type definitions that determine how synced fields are indexed and queried. Contacts Personal and org contacts kept consistent with CRM contact records.
Aliases Stable read/write names that let a sync cut over between index versions without downtime. OneDrive Files (driveItems) File and folder metadata synced for document workflows and audits.
Data streams Append-only targets for time-series or event data pushed from source systems. SharePoint Sites & Lists List items read and written like lightweight database tables.
What ships with Elasticsearch ⇄ Microsoft 365

Connect Elasticsearch and Microsoft 365 for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Microsoft 365 connection.

Real-time

Two-way sync

Changes in Elasticsearch or Microsoft 365 instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Elasticsearch or Microsoft 365 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 365 record.

Observability

Monitoring

Track your Elasticsearch ⇄ Microsoft 365 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 365.

How the Elasticsearch and Microsoft 365 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 365

Integration surface
REST API (Microsoft Graph)
Authentication
OAuth 2.0 via Microsoft Entra ID, with delegated or application permissions
Change detection
Graph change notifications (webhooks) plus delta queries for incremental sync
Capabilities
read · write · webhooks
How it works

How to connect Elasticsearch to Microsoft 365 — 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 365 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 365 connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Elasticsearch and Microsoft 365 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 365
    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 365
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Elasticsearch and Microsoft 365 integration FAQ

SECURITY

Security teams love 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
CSA STAR
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 386 integrations available for Elasticsearch and Microsoft 365.

Popular · 8 of 386
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