Two-way sync
Changes in Apache Druid or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Druid and Cin7 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 Cin7 carries financials, operations, workforce data, or all three, the analysis belongs in Apache Druid next to everything else the company measures.
Stacksync syncs Branches / locations, Stock adjustments and transfers, Credit notes / returns, Products from Cin7 into tables in Apache Druid continuously, managing API limits and schema drift along the way. The connection is bi-directional, so values computed in Apache Druid can be written back to fields in Cin7 where that is useful.
Financial records land in Apache Druid as they change, so period-end reporting queries current numbers rather than last night's extract.
Worker and organization data syncs into Apache Druid for headcount, cost, and planning analysis alongside other company data.
Operational records become queryable tables in Apache Druid, joinable with sales and finance 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.
| Apache Druid objects | Cin7 objects | |
|---|---|---|
| Lookups Key-value mappings joined at query time, refreshable from external systems. | Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. | |
| Tasks Batch ingestion and compaction jobs monitored during data loads. | Credit notes / returns Return documents synced so finance and support see the same refund state. | |
| Datasources The table-like unit of storage and querying, the main target of reads and ingestion. | Products SKU records with options and pricing, synced with storefront and marketplace catalogs. | |
| Segments Time-partitioned immutable files that hold datasource data; ingestion produces them. | Inventory levels Stock on hand by branch or location, published outward for availability. | |
| Dimensions String and categorical columns used for filtering and grouping in synced queries. | Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs. | |
| Metrics Numeric columns, often pre-aggregated at ingestion via rollup. | Purchase orders Supplier orders synced with procurement and accounting workflows. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Druid–Cin7 connection.
Changes in Apache Druid or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Druid or Cin7 data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Apache Druid or Cin7 record.
Track your Apache Druid ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Druid and Cin7.
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 Apache Druid and Cin7 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 Apache Druid and Cin7 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 Apache Druid and Cin7: authenticate both systems, choose the objects to sync (such as Apache Druid's Lookups and Tasks), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Druid: Streaming ingestion from Kafka or Kinesis is managed by supervisors designed to provide exactly-once ingestion semantics. Cin7: Cin7 is two distinct products under one brand: Cin7 Omni and Cin7 Core (the former DEAR Systems), each with its own API, credentials, and object shapes, so a connector must target the right one. Stacksync's field mapping accounts for these differences between Apache Druid and Cin7 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 Apache Druid and Cin7 records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Apache Druid and Cin7 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Druid–Cin7 integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Druid and Cin7. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Druid: Not applicable for reads out (polling by time interval); data enters Druid through streaming or batch ingestion rather than row updates. On Cin7: Polling on modified-date filters; webhook support exists on some editions for order and stock events. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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 Apache Druid and Cin7.