Two-way sync
Changes in Cloudera Data Platform or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Keep Cloudera Data Platform and DEAR Inventory 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 DEAR Inventory carries financials, operations, workforce data, or all three, the analysis belongs in Cloudera Data Platform next to everything else the company measures.
Stacksync syncs Purchase orders, Customers, Suppliers, Stock adjustments and transfers from DEAR Inventory 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 DEAR Inventory where that is useful.
Classifications or reference values computed in Cloudera Data Platform sync back onto the corresponding records in DEAR Inventory.
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 | DEAR Inventory objects | |
|---|---|---|
| Impala tables The same metastore tables served through Impala for lower-latency SQL reads. | Locations Warehouses and bins that scope stock levels and fulfillment. | |
| Kudu tables Storage engine tables that support row-level inserts, updates, and deletes. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. | |
| Iceberg tables Open table format tables in newer CDP versions, with snapshot metadata usable for incremental reads. | Stock levels Per-location availability derived from inventory transactions; read-heavy in storefront syncs. | |
| Views SQL views that can present curated, sync-ready projections of raw lake data. | Sale orders Customer orders through their pick/pack/ship lifecycle; synced with storefronts and CRMs. | |
| Partitions Table partitions (often by date) that incremental extraction jobs use to scope reads. | Purchase orders Supplier orders and receiving records synced with accounting and planning tools. | |
| Object store / HDFS files Underlying Parquet or ORC files on HDFS or cloud storage backing the tables. | Customers Buyer records aligned with CRM and accounting counterparts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cloudera Data Platform–DEAR Inventory connection.
Changes in Cloudera Data Platform or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Cloudera Data Platform or DEAR Inventory 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 DEAR Inventory record.
Track your Cloudera Data Platform ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Cloudera Data Platform and DEAR Inventory.
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 DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory: authenticate both systems, choose the objects to sync (such as Cloudera Data Platform's Impala tables and Kudu tables), map fields visually, and changes propagate both ways in milliseconds — no code required.
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. DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. 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. DEAR Inventory: Authentication uses a two-part credential, an account ID and an application key, passed as headers on every request. Stacksync's field mapping accounts for these differences between Cloudera Data Platform and DEAR Inventory 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 DEAR Inventory 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 DEAR Inventory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Cloudera Data Platform–DEAR Inventory integration in-house.
Yes — Stacksync ships production-grade connectors for both Cloudera Data Platform and DEAR Inventory. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 DEAR Inventory.