Two-way sync
Changes in Cloudera Data Platform or Copper CRM instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Copper CRM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Opportunities, Activities, Tasks, Projects from Copper CRM land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Copper CRM. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Lead scores, churn risk, or usage segments computed in Cloudera Data Platform appear as fields in Copper CRM, where the people working accounts actually see them.
Join Copper CRM's relationship data with billing, product, and support data in Cloudera Data Platform to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in Cloudera Data Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
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 | Copper CRM objects | |
|---|---|---|
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Opportunities Deals tracked through pipelines and stages; synced for revenue reporting. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Activities Logged emails, calls, meetings, and notes attached to records. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Tasks To-dos with due dates and assignees, usable in workload syncs. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Projects Post-sale work records Copper offers alongside classic CRM objects. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Pipelines Stage definitions that give opportunity records their stage context. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Custom Field Definitions Org-defined fields whose definitions are fetched to build dynamic field mappings. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Copper CRM connection.
Changes in Cloudera Data Platform or Copper CRM instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Copper CRM 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 Copper CRM record.
Track your Cloudera Data Platform ⇄ Copper CRM sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Copper CRM.
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 Copper CRM 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 Copper CRM 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 Copper CRM: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Databases and Hive tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Copper CRM. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Copper CRM: Webhook subscriptions for record create/update/delete events; polling as fallback. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Copper CRM side: Opportunities, Activities, Tasks, Projects, plus custom fields where Copper CRM exposes them. On the Cloudera Data Platform side: Impala tables, Kudu tables, Iceberg tables, Views. 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 Cloudera Data Platform and Copper CRM: Scores and segments back on the record; A single customer view; Cleanup that sticks. Lead scores, churn risk, or usage segments computed in Cloudera Data Platform appear as fields in Copper CRM, where the people working accounts actually see them.
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 Copper CRM.