Two-way sync
Changes in Apache Cassandra or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Keep Apache Cassandra 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 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 Stock levels, Sale orders, Purchase orders, Customers from DEAR Inventory into Apache Cassandra and keeps both sides consistent in real time. Whatever DEAR Inventory 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 DEAR Inventory with its validations respected.
Worker and org records stay current in Apache Cassandra for provisioning, access, and reporting systems that read from the database.
Choose exactly which tables and fields may flow from Apache Cassandra back into DEAR Inventory, keeping the ERP authoritative.
Records from DEAR Inventory live in Apache Cassandra as ordinary tables or collections, joinable with the rest of your 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 Cassandra objects | DEAR Inventory objects | |
|---|---|---|
| Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. | Customers Buyer records aligned with CRM and accounting counterparts. | |
| Secondary Indexes Optional indexes that allow filtered reads outside the partition key. | Suppliers Vendor records referenced on purchase orders. | |
| User-Defined Types Composite column types that syncs must flatten or map to structured fields. | Stock adjustments and transfers Inventory movement transactions that explain changes in availability. | |
| Collections List, set, and map columns handled with type-aware field mapping. | Assemblies / Production Bill-of-material and production records for light manufacturing workflows. | |
| Counters Increment-only counter columns, usually read-only in syncs. | Locations Warehouses and bins that scope stock levels and fulfillment. | |
| Keyspaces Top-level namespaces with replication settings that scope a sync connection. | Products SKU records with pricing, suppliers, and bill-of-material links; the master data most syncs start from. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–DEAR Inventory connection.
Changes in Apache Cassandra or DEAR Inventory instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Apache Cassandra 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 Apache Cassandra or DEAR Inventory record.
Track your Apache Cassandra ⇄ DEAR Inventory sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra and DEAR Inventory: authenticate both systems, choose the objects to sync (such as Apache Cassandra's Materialized Views and Secondary Indexes), map fields visually, and changes propagate both ways in milliseconds — no code required.
Apache Cassandra: CQL over the Cassandra native binary protocol. Authentication: Database credentials (password authenticator); TLS and role-based grants where configured. DEAR Inventory: REST API. Authentication: Account ID plus application key sent as request headers. Stacksync manages authentication, retries, and rate limits on both sides.
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. DEAR Inventory: DEAR Systems was acquired by Cin7 and the product now operates as Cin7 Core; the API and data model carried over from DEAR. Stacksync's field mapping accounts for these differences between Apache Cassandra 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 Apache Cassandra 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 Apache Cassandra and DEAR Inventory connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Apache Cassandra–DEAR Inventory integration in-house.
Yes — Stacksync ships production-grade connectors for both Apache Cassandra 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 Apache Cassandra and DEAR Inventory.