Two-way sync
Changes in Cloudera Data Platform or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform 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.
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 Tabs & Installed Apps, Teams, Channels, Channel Messages from Microsoft Teams into tables in Cloudera Data Platform continuously, handling schema, rate limits, and retries. Because the sync is bi-directional, results computed in Cloudera Data Platform can also be written back into fields in Microsoft Teams where the tool can use them.
A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Microsoft Teams or gets changed inside it.
Records and events from Microsoft Teams land in Cloudera Data Platform as queryable tables, current within seconds and ready to join with the rest of the warehouse.
Combine Microsoft Teams's data with data from every other synced system to answer questions no single tool can.
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.
| Cloudera Data Platform objects | Microsoft Teams objects | |
|---|---|---|
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Teams Team containers provisioned or read to mirror org and project structure. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Channels Channel targets used for routing synced notifications and updates. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Channel Messages Posted messages read for archiving or written to broadcast record changes. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Chats & Chat Messages 1:1 and group chat content read under protected-API access for compliance use. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Team Members & Users Membership synced with identity, HR, or CRM ownership data. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Online Meetings Meeting records synced with scheduling and CRM activity timelines. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Microsoft Teams connection.
Changes in Cloudera Data Platform or Microsoft Teams instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform 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 Cloudera Data Platform or Microsoft Teams record.
Track your Cloudera Data Platform ⇄ Microsoft Teams sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform 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 Cloudera Data Platform and Microsoft Teams: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Object store / HDFS files and Databases), 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 Cloudera Data Platform and Microsoft Teams: History that outlives the tool; Analytics on Microsoft Teams's data; Cross-tool reporting. A continuously synced copy in Cloudera Data Platform preserves a queryable record even as data ages out of Microsoft Teams or gets changed inside it.
Cloudera Data Platform: JDBC/ODBC over Hive and Impala SQL endpoints, plus REST management APIs. Authentication: Kerberos, LDAP, or workload user credentials, often brokered through the Knox gateway. 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: Simple outbound notification into a channel can be done with webhook-style connectors or workflows without a full Graph integration. Cloudera Data Platform: Tables can live in multiple storage engines with different update semantics: Kudu and Iceberg tables support row-level updates, while classic Hive tables are append-oriented. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Microsoft Teams 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 Cloudera Data Platform and Microsoft Teams 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 Cloudera Data Platform and Microsoft Teams.