Two-way sync
Changes in Attio or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Keep Attio 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. Companies, Users, Deals, Workspaces from Attio land in Cloudera Data Platform as live tables, updated within seconds, and columns computed in Cloudera Data Platform write back to fields in Attio. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
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 Attio are queryable in Cloudera Data Platform moments after they change, so dashboards stop lagging the reality they describe.
Lead scores, churn risk, or usage segments computed in Cloudera Data Platform appear as fields in Attio, where the people working accounts actually see them.
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.
| Attio objects | Cloudera Data Platform objects | |
|---|---|---|
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | |
| People Standard person object; synced with marketing tools and warehouse person tables. | Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–Cloudera Data Platform connection.
Changes in Attio or Cloudera Data Platform instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio 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 Attio or Cloudera Data Platform record.
Track your Attio ⇄ Cloudera Data Platform sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio 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 Attio 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 Attio 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 Attio and Cloudera Data Platform: authenticate both systems, choose the objects to sync (such as Attio's Custom objects and People), 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 Attio and Cloudera Data Platform: Cleanup that sticks; CRM analytics on live data; Scores and segments back on the record. Deduplication and normalization done in Cloudera Data Platform can be written back, so warehouse-side cleanup actually fixes the CRM.
Attio: REST API. Authentication: Guided in-app connection ("Attio CRM" connection created in a few clicks, "without any coding required"); the docs do not name the underlying auth mechanism (OAuth vs API key). 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. Stacksync manages authentication, retries, and rate limits on both sides.
Attio: Records are distinct from list entries; the same company can appear in multiple lists with list-specific attribute values, which a faithful sync replicates separately. 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 Attio and Cloudera Data Platform 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 Attio and Cloudera Data Platform 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 Attio and Cloudera Data Platform.