Two-way sync
Changes in Cloudera Data Platform or Pigment instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Pigment in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Finance data belongs in the warehouse: revenue, invoices, payments, and customers joined with everything else the business measures. Getting it there usually means an extraction pipeline that breaks quietly and delivers yesterday's numbers.
Stacksync syncs Metrics, Dimension lists, Tables, Scenarios from Pigment into tables in Cloudera Data Platform in real time, and the connection works in both directions: values computed in Cloudera Data Platform can be written back to fields in Pigment where you want them operational. Schema changes are handled, API limits are managed, and the sync is something you configure rather than code you maintain.
Scores or segments computed in Cloudera Data Platform, like payment-risk flags or customer tiers, sync back onto records in Pigment where the finance team can act on them.
A continuously synced copy in Cloudera Data Platform gives you a durable, queryable record of financial data for month-end and audit questions.
Invoices, payments, and customer records from Pigment arrive in Cloudera Data Platform as queryable tables, current within seconds instead of a day behind.
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 | Pigment objects | |
|---|---|---|
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Scenarios Versions such as budget, forecast, and actuals that give exported figures their context | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Data imports Scheduled loads that bring actuals from ERPs, CRMs, and HRIS into the model | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Users and permissions Access controls governing which model areas a sync can touch | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Applications Planning models organized by domain such as finance, sales, or workforce | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Metrics Multidimensional values holding plans and actuals; the main target for inbound data | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Dimension lists Master data like accounts, products, or employees that metrics are sliced by |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Pigment connection.
Changes in Cloudera Data Platform or Pigment instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Pigment 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 Pigment record.
Track your Cloudera Data Platform ⇄ Pigment sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Pigment.
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 Pigment 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 Pigment 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 Pigment: 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.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Pigment: No change feed; syncs run scheduled imports and exports. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Pigment side: Metrics, Dimension lists, Tables, Scenarios, plus custom fields where Pigment exposes them. On the Cloudera Data Platform side: Views, Partitions, Object store / HDFS files, Databases. 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 Pigment: Write-back of computed fields; Queryable history for audit and reconciliation; Finance analytics without ETL. Scores or segments computed in Cloudera Data Platform, like payment-risk flags or customer tiers, sync back onto records in Pigment where the finance team can act on 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. Pigment: REST-based import and export API. Authentication: API keys, issued separately for import and export. Stacksync manages authentication, retries, and rate limits on both sides.
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 Pigment.