Two-way sync
Changes in Cloudera Data Platform or Syspro instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and Syspro 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 Syspro carries financials, operations, workforce data, or all three, the analysis belongs in Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Warehouses, Customers, Suppliers, Inventory items from Syspro 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 Syspro where that is useful.
Classifications or reference values computed in Cloudera Data Platform sync back onto the corresponding records in Syspro.
Financial records land in Cloudera Data Platform as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Cloudera Data Platform for headcount, cost, and planning analysis alongside other company data.
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 | Syspro objects | How this pairing syncs | |
|---|---|---|---|
| Hive tables Warehouse tables queried over JDBC/ODBC; classic managed tables are append-oriented. | GL journals Financial postings extracted for consolidation and analytics. | Hive tables is specific to Cloudera Data Platform and GL journals to Syspro — each maps to any object or custom field on the other side. | |
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Warehouses Stocking locations that scope inventory balances. | Impala tables is specific to Cloudera Data Platform and Warehouses to Syspro — each maps to any object or custom field on the other side. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Customers AR customer master records matched against CRM accounts. | Kudu tables is specific to Cloudera Data Platform and Customers to Syspro — each maps to any object or custom field on the other side. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Suppliers AP supplier records synced with procurement and payment systems. | Iceberg tables is specific to Cloudera Data Platform and Suppliers to Syspro — each maps to any object or custom field on the other side. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Inventory items The stock master, kept aligned with WMS and e-commerce catalogs. | Views is specific to Cloudera Data Platform and Inventory items to Syspro — each maps to any object or custom field on the other side. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Sales orders Orders written in from storefronts and CRMs, with status read back out. | Partitions is specific to Cloudera Data Platform and Sales orders to Syspro — each maps to any object or custom field on the other side. |
Each direction of the sync is driven by what the source system can signal and what the destination accepts — detection, delivery, and expected latency below.
DetectionStacksync polls Cloudera Data Platform for changes on an incremental schedule, reading only records changed since the previous pass. Polling via SQL on timestamp or partition columns.
DeliveryEach detected change is written to Syspro through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Cloudera Data Platform as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–Syspro connection.
Changes in Cloudera Data Platform or Syspro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or Syspro 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 Syspro record.
Track your Cloudera Data Platform ⇄ Syspro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and Syspro.
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 Syspro 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 Syspro 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 Syspro: 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.
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 Syspro records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Cloudera Data Platform and Syspro connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–Syspro integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and Syspro. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Cloudera Data Platform: Polling via SQL on timestamp or partition columns; no consumer-facing change feed. On Syspro: Polling; the ERP does not expose a change feed to external consumers. 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 Syspro side: Warehouses, Customers, Suppliers, Inventory items. Stacksync auto-detects both schemas and converts types between the two systems.
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 436 integrations available for Cloudera Data Platform and Syspro.