Two-way sync
Changes in Apache Cassandra or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 sits behind interfaces built for the ERP's own modules, not for your internal systems. Teams that need those records, for reporting services, internal tools, or automations, end up writing integration code against a strict API and maintaining it through every upgrade.
Stacksync mirrors Contacts, Branches / locations, Stock adjustments and transfers, Credit notes / returns from Cin7 into Apache Cassandra and keeps both sides consistent in real time. Whatever Cin7 is the system of record for, whether financials, operations, people, or procurement, those records become rows your code can query, and changes written in Apache Cassandra sync back into Cin7 with its validations respected.
Records from Cin7 live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Cin7 interface, limits, and retries.
Updates in Cin7 arrive as row changes in Apache Cassandra, so jobs and triggers can respond as the business record changes.
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 Cassandra objects | Cin7 objects | |
|---|---|---|
| Tables Wide-column tables addressed by partition key, the unit of row-level sync. | Products SKU records with options and pricing, synced with storefront and marketplace catalogs. | |
| Partitions and Rows Records located by partition and clustering keys during reads and upserts. | Inventory levels Stock on hand by branch or location, published outward for availability. | |
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Purchase orders Supplier orders synced with procurement and accounting workflows. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Contacts Customers and suppliers, matched to CRM records to keep account data consistent. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Branches / locations Warehouse entities that scope every stock movement and order allocation. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Cin7 connection.
Changes in Apache Cassandra or Cin7 instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Cassandra or Cin7 record.
Track your Apache Cassandra ⇄ Cin7 sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Cassandra 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 Cassandra 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 Cassandra and Cin7: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Tables and Partitions and Rows), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Cassandra: Data modeling is query-first and denormalized: tables are designed around partition keys, and there are no joins, so syncs address rows by partition and clustering keys. Cin7: Order objects carry channel context (POS, B2B, e-commerce), which downstream reporting syncs typically preserve for channel-level margin analysis. Stacksync's field mapping accounts for these differences between Apache Cassandra 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 Cassandra 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 Cassandra and Cin7 connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–Cin7 integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra and Cin7. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Apache Cassandra: Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns. 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 Cassandra and Cin7.