Two-way sync
Changes in Close or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Close and Cloudera Data Platform 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. Smart Views, Leads, Contacts, Opportunities from Close land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Close. 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 Close, where the people working accounts actually see them.
Join Close'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.
| Close objects | Cloudera Data Platform objects | |
|---|---|---|
| Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems. | Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | |
| Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | |
| Tasks Follow-up items assigned to users; synced for workload and SLA reporting. | Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | |
| Custom Activities User-defined activity types with their own custom fields, mapped like standard activities. | Views SQL views that can present curated, sync-ready projections of raw lake data. | |
| Custom Fields Org-specific fields on leads, contacts, and opportunities; addressed by stable field ids in syncs. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | |
| Users Sales reps referenced as owners on leads, opportunities, and activities. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Close–Cloudera Data Platform connection.
Changes in Close or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Close or Cloudera Data Platform data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Close or Cloudera Data Platform record.
Track your Close ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Close and Cloudera Data Platform.
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 Close and Cloudera Data Platform 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 Close and Cloudera Data Platform 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 Close and Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Close's Opportunities and Activities), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Close and Cloudera Data Platform. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Close: Webhook subscriptions for record events, with polling on date_updated fields for backfills. On Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Close side: Smart Views, Leads, Contacts, Opportunities, plus custom fields where Close 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 Close and Cloudera Data Platform: 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 Close, 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 Close and Cloudera Data Platform.