Two-way sync
Changes in Microsoft Teams or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Keep Microsoft Teams and Redis Enterprise 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 Redis Enterprise.
Stacksync mirrors Channels, Channel Messages, Chats & Chat Messages, Team Members & Users from Microsoft Teams into Sorted Sets, Lists, Streams, Pub/Sub channels in Redis Enterprise 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.
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
Records from Microsoft Teams are ordinary rows in Redis Enterprise; join them, index them, and use them in application logic without touching the vendor API.
Write to the synced tables in Redis Enterprise and Stacksync propagates the change into Microsoft Teams, replacing custom integration code.
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 | Redis Enterprise objects | |
|---|---|---|
| Team Members & Users Membership synced with identity, HR, or CRM ownership data. | JSON documents Native JSON storage (RedisJSON) for nested records synced from APIs or document stores. | |
| Online Meetings Meeting records synced with scheduling and CRM activity timelines. | Sets Unordered unique-member collections used for membership checks like segment or ID lists. | |
| Tabs & Installed Apps App configuration read to audit or provision team workspaces. | Sorted Sets Score-ordered collections used for rankings, priority queues, and time-ordered indexes. | |
| Teams Team containers provisioned or read to mirror org and project structure. | Lists Ordered sequences often used as lightweight queues fed by sync events. | |
| Channels Channel targets used for routing synced notifications and updates. | Streams Append-only logs with consumer groups, used to fan sync events out to downstream services. | |
| Channel Messages Posted messages read for archiving or written to broadcast record changes. | Pub/Sub channels Fire-and-forget messaging used to notify applications when synced keys change. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Microsoft Teams–Redis Enterprise connection.
Changes in Microsoft Teams or Redis Enterprise instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Microsoft Teams or Redis Enterprise 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 Redis Enterprise record.
Track your Microsoft Teams ⇄ Redis Enterprise sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Microsoft Teams and Redis Enterprise.
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 Redis Enterprise 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 Redis Enterprise 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 Redis Enterprise: authenticate both systems, choose the objects to sync (such as Microsoft Teams's Team Members & Users and Online Meetings), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Microsoft Teams and Redis Enterprise. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Microsoft Teams: Graph change notifications (webhooks) for messages and membership; delta queries on some resources. On Redis Enterprise: Keyspace notifications over pub/sub or reads from Redis Streams; no transaction-log CDC surface for data. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Microsoft Teams side: Channels, Channel Messages, Chats & Chat Messages, Team Members & Users, plus custom fields where Microsoft Teams exposes them. On the Redis Enterprise side: Sorted Sets, Lists, Streams, Pub/Sub channels. 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 Microsoft Teams and Redis Enterprise: One integration pattern for the whole stack; Read Microsoft Teams with a query; Automate Microsoft Teams from your codebase. Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
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 Redis Enterprise.