Real-time
Two-way sync
Changes in Elasticsearch or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ Business productivity
Elasticsearch to Microsoft Teams integration — real-time, two-way sync
Keep Elasticsearch and Microsoft Teams 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
Case study
Migrated from Mulesoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Elasticsearch and Microsoft Teams
Mirror Microsoft Teams'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 Teams 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 Channel Messages, Chats & Chat Messages, Team Members & Users, Online Meetings from Microsoft Teams into Indices, Documents, Index mappings, Aliases 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 Teams, so the tool and the database never disagree.
Common use cases
- Notify an ops channel when a sync detects failed or conflicting records that need review.
- Sync team membership from HR or identity systems so channels match the org chart.
- Mirror support tickets into an index used for full-text search and agent-assist tooling.
- Feed enriched customer records into an index used for vector or hybrid search in AI applications.
React to changes as they happen
Updates in Microsoft Teams 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 Teams with a query
Records from Microsoft Teams 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 Teams
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 Teams objects | |
|---|---|---|
| Ingest pipelines Server-side transforms applied to documents as a sync writes them. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | |
| Index templates Reusable settings and mappings applied automatically to new indices a sync creates. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | |
| Indices Target containers for synced records; each holds a table-like collection of JSON documents. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | |
| Documents The unit of sync; JSON records created, updated, and deleted by _id. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. | |
| Index mappings Field type definitions that determine how synced fields are indexed and queried. | Tabs & Installed Apps App configuration read to audit or provision team workspaces. | |
| Aliases Stable read/write names that let a sync cut over between index versions without downtime. | Teams Team containers provisioned or read to mirror org and project structure. |
What ships with Elasticsearch ⇄ Microsoft Teams
Connect Elasticsearch and Microsoft Teams for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Elasticsearch–Microsoft Teams connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Elasticsearch or Microsoft Teams 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 Teams record.
Observability
Monitoring
Track your Elasticsearch ⇄ Microsoft Teams 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 Teams.
How the Elasticsearch and Microsoft Teams 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 Teams
- Integration surface
- REST API (Microsoft Graph)
- Authentication
- OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access
- Change detection
- Graph change notifications (webhooks) for messages and membership; delta queries on some resources
- Capabilities
- read · write · webhooks
How it works
How to connect Elasticsearch to Microsoft Teams — 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.
- 01
Connect your apps
Authenticate Elasticsearch and Microsoft Teams with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Elasticsearch
connected
Microsoft Teams
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Elasticsearch and Microsoft Teams 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.
objects · Elasticsearch ⇄ Microsoft TeamsCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Elasticsearch Microsoft TeamsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Elasticsearch and Microsoft Teams integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Elasticsearch and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Elasticsearch's Ingest pipelines and Index templates), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Elasticsearch and Microsoft Teams. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Elasticsearch: Polling on timestamp or sequence fields; Elasticsearch does not expose a native change feed or webhooks. On Microsoft Teams: Graph change notifications (webhooks) for messages and membership; delta queries on some resources. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Microsoft Teams side: Channel Messages, Chats & Chat Messages, Team Members & Users, Online Meetings, plus custom fields where Microsoft Teams exposes them. On the Elasticsearch side: Indices, Documents, Index mappings, Aliases. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Elasticsearch and Microsoft Teams: React to changes as they happen; One integration pattern for the whole stack; Read Microsoft Teams with a query. Updates in Microsoft Teams arrive as row changes in Elasticsearch, so triggers, jobs, and services can respond in near real time.
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 Teams.
Popular · 8 of 386
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Elasticsearch ⇄ Front -
Elasticsearch ⇄ Amazon Seller Central -
Elasticsearch ⇄ SendGrid -
Elasticsearch ⇄ Twilio -
Microsoft Teams ⇄ Postgres Heroku -
Microsoft Teams ⇄ Airtable -
Microsoft Teams ⇄ AWS Aurora MySQL - Microsoft Teams ⇄ AWS Aurora PostgreSQL
No integrations match .
