Two-way sync
Changes in Cloudera Data Platform or Deposco instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Deposco 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 Deposco carries financials, operations, workforce data, or all three, the analysis belongs in Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Items / SKUs, Inventory, Sales orders, Shipments from Deposco 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 Deposco where that is useful.
Operational records become queryable tables in Cloudera Data Platform, joinable with sales and finance data.
Combine Deposco'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 Deposco.
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 | Deposco objects | |
|---|---|---|
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Shipments Outbound shipment and tracking records synced back to order-origin systems. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Purchase orders / ASNs Inbound expectations used to plan receiving. | |
| Databases Logical namespaces in the shared Hive Metastore that group tables for access control and syncs. | Receipts Confirmation of received inventory that updates stock positions. | |
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Warehouses / Locations Facility and bin structures that scope inventory records. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Customers Ship-to parties referenced on orders and shipments. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Items / SKUs Product master records that fulfillment operations pick and ship against. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Deposco connection.
Changes in Cloudera Data Platform or Deposco instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Deposco 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 Deposco record.
Track your Cloudera Data Platform ⇄ Deposco sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Deposco.
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 Deposco 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 Deposco 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 Deposco: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Partitions and Object store / HDFS files), 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 Cloudera Data Platform and Deposco: Where Deposco runs operations: order and supply analysis; Group reporting across systems; Write-back where Deposco exposes writable fields. Operational records become queryable tables in Cloudera Data Platform, joinable with sales and finance data.
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. Deposco: REST API plus file-based interfaces (EDI and flat file) common to WMS integrations. Authentication: API credentials issued per integration (API key or basic authentication). Stacksync manages authentication, retries, and rate limits on both sides.
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. Deposco: Deposco's Bright Suite combines warehouse management, order management, and fulfillment in one platform, so order, inventory, and shipment data share a single system of record. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Deposco 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 Deposco 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 Cloudera Data Platform and Deposco.