Two-way sync
Changes in Citus or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Keep Citus 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.
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 Citus.
Stacksync mirrors Channel Messages, Chats & Chat Messages, Team Members & Users, Online Meetings from Microsoft Teams into Local tables, Schemas, Views, Sequences in Citus 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.
Write to the synced tables in Citus and Stacksync propagates the change into Microsoft Teams, replacing custom integration code.
Updates in Microsoft Teams arrive as row changes in Citus, so triggers, jobs, and services can respond in near real time.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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.
| Citus objects | Microsoft Teams objects | |
|---|---|---|
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Teams Team containers provisioned or read to mirror org and project structure. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Channels Channel targets used for routing synced notifications and updates. | |
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Microsoft Teams connection.
Changes in Citus or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Citus or Microsoft Teams data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Citus or Microsoft Teams record.
Track your Citus ⇄ Microsoft Teams sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Citus and Microsoft Teams.
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 Citus 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.
Pick the Citus 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.
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 Citus and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Citus's Distributed tables and Reference tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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 Citus side: Local tables, Schemas, Views, Sequences. Stacksync auto-detects both schemas and converts types between the two systems.
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 Citus and Microsoft Teams: Automate Microsoft Teams from your codebase; React to changes as they happen; One integration pattern for the whole stack. Write to the synced tables in Citus and Stacksync propagates the change into Microsoft Teams, replacing custom integration code.
Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). 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. Stacksync manages authentication, retries, and rate limits on both sides.
Microsoft Teams: Teams has no standalone API; all programmatic access goes through Microsoft Graph alongside the rest of Microsoft 365. Citus: Because shard data lives on worker nodes, log-based CDC is more involved than on single-node Postgres and depends on the Citus version and hosting (including the Azure managed service). Stacksync's field mapping accounts for these differences between Citus and Microsoft Teams without custom code.
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 Citus and Microsoft Teams.