Real-time
Two-way sync
Changes in Dremio or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Data warehouse ⇄ Business productivity
Dremio to Microsoft Teams integration — real-time, two-way sync
Keep Dremio 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 Dremio and Microsoft Teams
Get the data locked inside Microsoft Teams into Dremio as live tables, and send results back where Microsoft Teams can use them, without writing a pipeline.
Whatever Microsoft Teams is used for, it accumulates data the rest of the company wants to analyze, and that data usually sits behind an API rather than in the warehouse. Building and babysitting an extraction pipeline is the tax most teams pay for it.
Stacksync syncs Channels, Channel Messages, Chats & Chat Messages, Team Members & Users from Microsoft Teams into tables in Dremio continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Dremio can also be written back into fields in Microsoft Teams where the tool can use them.
Common use cases
- Sync team membership from HR or identity systems so channels match the org chart.
- Route support case updates from the CRM into a triage channel for faster response.
- Consolidate data from multiple lake sources through one Dremio semantic layer into a single warehouse target.
- Sync curated Dremio views into an operational Postgres so applications get low-latency access to lakehouse data.
Analytics on Microsoft Teams's data
Records and events from Microsoft Teams land in Dremio as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Cross-tool reporting
Combine Microsoft Teams's data with data from every other synced system to answer questions no single tool can.
Where Microsoft Teams accepts updates: operational write-back
Segments, scores, or reference values computed in Dremio sync back onto records in Microsoft Teams, putting analysis where the work happens.
What you can sync between Dremio 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.
| Dremio objects | Microsoft Teams objects | |
|---|---|---|
| Sources Connected storage and database systems (S3, ADLS, relational databases) Dremio queries in place. | Teams Team containers provisioned or read to mirror org and project structure. | |
| Physical datasets Tables and files promoted from sources; the raw data a sync ultimately reads. | Channels Channel targets used for routing synced notifications and updates. | |
| Virtual datasets (views) SQL views layering semantics over physical data; the preferred sync target for curated extracts. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | |
| Apache Iceberg tables Lakehouse tables supporting DML and snapshot metadata usable for incremental reads. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | |
| Spaces and folders Namespaces that organize virtual datasets and govern access. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | |
| Reflections Materialized accelerations that make repeated extraction queries cheaper. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. |
What ships with Dremio ⇄ Microsoft Teams
Connect Dremio and Microsoft Teams for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Dremio–Microsoft Teams connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Dremio 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 Dremio or Microsoft Teams record.
Observability
Monitoring
Track your Dremio ⇄ 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 Dremio and Microsoft Teams.
How the Dremio and Microsoft Teams connectors work
Dremio
- Integration surface
- Arrow Flight SQL, JDBC/ODBC, and a REST API
- Authentication
- Personal access tokens or username/password; OAuth-based SSO on Dremio Cloud
- Change detection
- Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed
- Capabilities
- read · write
- Rate limits
- Bounded by engine capacity and workload management rather than API rate limits
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 Dremio 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 Dremio 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.
Dremio
connected
Microsoft Teams
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Dremio 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 · Dremio ⇄ 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.
Dremio Microsoft TeamsCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Dremio and Microsoft Teams integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Dremio and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Dremio's Sources and Physical datasets), 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 Dremio 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 Dremio: Polling via SQL; Iceberg table snapshots can anchor incremental reads; no consumer-facing change feed. 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: Channels, Channel Messages, Chats & Chat Messages, Team Members & Users, plus custom fields where Microsoft Teams exposes them. On the Dremio side: Physical datasets, Virtual datasets (views), Apache Iceberg tables, Spaces and folders. 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 Dremio and Microsoft Teams: Analytics on Microsoft Teams's data; Cross-tool reporting; Where Microsoft Teams accepts updates: operational write-back. Records and events from Microsoft Teams land in Dremio as queryable tables, current within seconds and ready to join with the rest of the warehouse.
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 Dremio and Microsoft Teams.
Popular · 8 of 386
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Dremio ⇄ Aviato -
Dremio ⇄ Customer.io -
Dremio ⇄ eClinicalWorks -
Dremio ⇄ Full Enrich -
Microsoft Teams ⇄ Actian Vector -
Microsoft Teams ⇄ Amazon Redshift -
Microsoft Teams ⇄ Apache Doris -
Microsoft Teams ⇄ Apache Druid
No integrations match .
