Two-way sync
Changes in Cloudera Data Platform or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Salesforce 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. Leads, Opportunities, Cases, Campaigns from Salesforce land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Salesforce. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Salesforce'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.
Accounts, contacts, and activity from Salesforce are queryable in Cloudera Data Platform moments after they change, so dashboards stop lagging the reality they describe.
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 | Salesforce objects | |
|---|---|---|
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Campaigns Marketing membership data; read out for attribution analysis in the warehouse. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Accounts Company records that anchor most syncs; typically mapped to customer tables in a database or ERP. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Contacts People linked to Accounts; synced two-way with marketing, support, and warehouse person records. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Salesforce connection.
Changes in Cloudera Data Platform or Salesforce instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Salesforce 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 Salesforce record.
Track your Cloudera Data Platform ⇄ Salesforce sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Salesforce.
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 Salesforce 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 Salesforce 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 Salesforce: 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.
Salesforce: Salesforce org must have API access enabled — Group and Essentials editions cannot use Stacksync; Professional requires the API add-on. 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 Salesforce 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 Salesforce records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Salesforce connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Salesforce integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Salesforce. 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 Salesforce: Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting). Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Salesforce.