Two-way sync
Changes in Microsoft Teams or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Teams and TimescaleDB in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
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 TimescaleDB.
Stacksync mirrors Tabs & Installed Apps, Teams, Channels, Channel Messages from Microsoft Teams into Regular PostgreSQL Tables, Views, Schemas, Hypertables in TimescaleDB 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.
Records from Microsoft Teams are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in TimescaleDB and Stacksync propagates the change into Microsoft Teams, replacing custom integration code.
Updates in Microsoft Teams arrive as row changes in TimescaleDB, so triggers, jobs, and services can respond in near real time.
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.
| Microsoft Teams objects | TimescaleDB objects | |
|---|---|---|
| Channel Messages Posted messages read for archiving or written to broadcast record changes. | Views Standard SQL views used to shape or filter data for consumers. | |
| Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | Schemas Postgres namespaces used to separate synced datasets by team or environment. | |
| Team Members & Users Membership synced with identity, HR, or CRM ownership data. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Online Meetings Meeting records synced with scheduling and CRM activity timelines. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Tabs & Installed Apps App configuration read to audit or provision team workspaces. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| Teams Team containers provisioned or read to mirror org and project structure. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Teams–TimescaleDB connection.
Changes in Microsoft Teams or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Teams or TimescaleDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Microsoft Teams or TimescaleDB record.
Track your Microsoft Teams ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Teams and TimescaleDB.
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 Microsoft Teams and TimescaleDB 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 Microsoft Teams and TimescaleDB 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 Microsoft Teams and TimescaleDB: authenticate both systems, choose the objects to sync (such as Microsoft Teams's Channel Messages and Chats & Chat Messages), map fields visually, and changes propagate both ways in milliseconds — no code required.
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.
Common patterns for Microsoft Teams and TimescaleDB: Read Microsoft Teams with a query; Automate Microsoft Teams from your codebase; React to changes as they happen. Records from Microsoft Teams are ordinary rows in TimescaleDB; join them, index them, and use them in application logic without touching the vendor API.
Microsoft Teams: REST API (Microsoft Graph). Authentication: OAuth 2.0 via Microsoft Entra ID; reading message content at scale requires Microsoft-approved protected-API access. TimescaleDB: SQL wire protocol (PostgreSQL). Authentication: Database credentials. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Teams: Simple outbound notification into a channel can be done with webhook-style connectors or workflows without a full Graph integration. TimescaleDB: Continuous aggregates materialize rollups incrementally instead of recomputing them on every query. Stacksync's field mapping accounts for these differences between Microsoft Teams and TimescaleDB without custom code.
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 Microsoft Teams and TimescaleDB records are not retained after a sync operation.
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 386 integrations available for Microsoft Teams and TimescaleDB.