Two-way sync
Changes in Apache Cassandra or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 Apache Cassandra.
Stacksync mirrors Teams, Channels, Channel Messages, Chats & Chat Messages from Microsoft Teams into User-Defined Types, Collections, Counters, Keyspaces in Apache Cassandra 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.
Updates in Microsoft Teams arrive as row changes in Apache Cassandra, 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.
Records from Microsoft Teams are ordinary rows in Apache Cassandra; join them, index them, and use them in application logic without touching the vendor API.
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.
| Apache Cassandra objects | Microsoft Teams objects | |
|---|---|---|
| Counters Increment-only counter columns, usually read-only in syncs. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | |
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Tabs & Installed Apps App configuration read to audit or provision team workspaces. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Teams Team containers provisioned or read to mirror org and project structure. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Channels Channel targets used for routing synced notifications and updates. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Microsoft Teams connection.
Changes in Apache Cassandra or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or Microsoft Teams record.
Track your Apache Cassandra ⇄ Microsoft Teams sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Counters and Keyspaces), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Microsoft Teams side: Teams, Channels, Channel Messages, Chats & Chat Messages, plus custom fields where Microsoft Teams exposes them. On the Apache Cassandra side: User-Defined Types, Collections, Counters, Keyspaces. 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 Apache Cassandra 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 Apache Cassandra, so triggers, jobs, and services can respond in near real time.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. 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: Reading or exporting message content at scale falls under Graph protected APIs, which require an approval process from Microsoft. Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. Stacksync's field mapping accounts for these differences between Apache Cassandra 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 Apache Cassandra and Microsoft Teams.