Two-way sync
Changes in Cloudera Data Platform or Nimble instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Nimble 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. Companies, Deals, Tasks, Activities from Nimble land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Nimble. 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 Nimble, where the people working accounts actually see them.
Join Nimble'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 | Nimble objects | |
|---|---|---|
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Companies Stored as contact records with a company record type, so they sync through the same contacts resource | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Deals Pipeline records linked to contacts, synced to keep revenue systems aligned with sales activity | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Tasks To-do items tied to contacts, mirrored into work-management tools or reporting tables | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Activities Calls, events, and interaction history used for engagement reporting outside Nimble | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Notes Free-text records attached to contacts, replicated for a complete account timeline | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Tags Segmentation labels that map to list membership or filters in downstream systems |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Nimble connection.
Changes in Cloudera Data Platform or Nimble instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Nimble 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 Nimble record.
Track your Cloudera Data Platform ⇄ Nimble sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Nimble.
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 Nimble 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 Nimble 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 Nimble: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Impala tables and Kudu tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Nimble side: Companies, Deals, Tasks, Activities, plus custom fields where Nimble 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 Nimble: 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 Nimble, where the people working accounts actually see them.
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. Nimble: REST API (JSON). Authentication: API key; OAuth 2.0 available for registered applications. Stacksync manages authentication, retries, and rate limits on both sides.
Nimble: Nimble stores people and companies as contact records distinguished by record type, so both entity types flow through the same contacts resource. Cloudera Data Platform: CDP bundles open-source engines (Hive, Impala, Spark, Kudu) behind a shared Hive Metastore and shared security via Apache Ranger, so integrations usually target a SQL endpoint rather than storage directly. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Nimble 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 Cloudera Data Platform and Nimble.