Two-way sync
Changes in Cloudera Data Platform or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Rootstock ERP 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 Rootstock ERP carries financials, operations, workforce data, or all three, the analysis belongs in Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Receipts and Shipments, Salesforce Accounts and Contacts, Sales Orders, Work Orders from Rootstock ERP 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 Rootstock ERP where that is useful.
Combine Rootstock ERP'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 Rootstock ERP.
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 | Rootstock ERP objects | |
|---|---|---|
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | Sales Orders Order headers and lines synced to fulfillment, invoicing, and reporting systems. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Work Orders Manufacturing execution records synced to MES, scheduling, and analytics tools. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Purchase Orders Procurement documents synced with supplier portals and AP systems. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Items / Products The manufacturing item master, kept aligned with e-commerce and PLM systems. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Bills of Material Multi-level product structures read for costing and planning integrations. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Inventory Balances On-hand quantities by site and location, synced to storefronts and WMS. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Rootstock ERP connection.
Changes in Cloudera Data Platform or Rootstock ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Rootstock ERP 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 Rootstock ERP record.
Track your Cloudera Data Platform ⇄ Rootstock ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Rootstock ERP.
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 Rootstock ERP 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 Rootstock ERP 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 Rootstock ERP: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Hive tables and Impala tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Cloudera Data Platform side: Partitions, Object store / HDFS files, Databases, Hive tables, plus custom fields where Cloudera Data Platform exposes them. On the Rootstock ERP side: Receipts and Shipments, Salesforce Accounts and Contacts, Sales Orders, Work Orders. 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 Rootstock ERP: Group reporting across systems; Write-back where Rootstock ERP exposes writable fields; Where Rootstock ERP holds the books: finance reporting from live data. Combine Rootstock ERP'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. Rootstock ERP: Salesforce Platform APIs (REST, SOAP, Bulk) — Rootstock data lives in Salesforce custom objects. Authentication: OAuth 2.0 (standard Salesforce connected app flows). Stacksync manages authentication, retries, and rate limits on both sides.
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. Rootstock ERP: Rootstock is built natively on the Salesforce Platform, so ERP records are managed-package custom objects queryable with SOQL alongside CRM data. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and Rootstock ERP without custom code.
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 Rootstock ERP.