Two-way sync
Changes in Cloudera Data Platform or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Sage 300 in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
ERP data is some of the most asked-for data in the warehouse and some of the hardest to get: the record types are many, the APIs are strict, and extract jobs are brittle. Whether Sage 300 carries financials, operations, workforce data, or all three, the analysis belongs in Cloudera Data Platform next to everything else the company measures.
Stacksync syncs AR Invoices and Receipts, AR Customers, AP Vendors, GL Accounts from Sage 300 into tables in Cloudera Data Platform continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Cloudera Data Platform can be written back to fields in Sage 300 where that is useful.
Combine Sage 300's records with data synced from other systems in Cloudera Data Platform for consolidated views no single system can produce.
Classifications or reference values computed in Cloudera Data Platform sync back onto the corresponding records in Sage 300.
Financial records land in Cloudera Data Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
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 | Sage 300 objects | |
|---|---|---|
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | AP Vendors Payables vendor master synced with procurement and payment systems. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | GL Accounts Chart of accounts read for transaction mapping across integrations. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Journal Batches GL entries staged in batches that must be posted; a common write target for external systems. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Order Entry Orders Sales orders written from e-commerce or EDI feeds. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Purchase Orders Procurement documents read for spend visibility and receiving. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Inventory Items Item master with costing and quantities, synced to storefronts and WMS. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Sage 300 connection.
Changes in Cloudera Data Platform or Sage 300 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Sage 300 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 Sage 300 record.
Track your Cloudera Data Platform ⇄ Sage 300 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Sage 300.
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 Sage 300 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 Sage 300 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 Sage 300: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Kudu tables and Iceberg tables), 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 Sage 300: Scheduled polling; batch-oriented modules with no webhook surface. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Cloudera Data Platform side: Impala tables, Kudu tables, Iceberg tables, Views, plus custom fields where Cloudera Data Platform exposes them. On the Sage 300 side: AR Invoices and Receipts, AR Customers, AP Vendors, GL Accounts. 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 Sage 300: Group reporting across systems; Write-back where Sage 300 exposes writable fields; Where Sage 300 holds the books: finance reporting from live data. Combine Sage 300's records with data synced from other systems in Cloudera Data Platform for consolidated views no single system can produce.
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. Sage 300: Sage 300 Web API (REST) on newer releases; .NET/COM SDK and direct SQL Server access on-prem. Authentication: Sage 300 user credentials (Basic auth on the Web API); database credentials for direct SQL reads. 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 Sage 300.