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ERP ⇄ Database

Cin7 to Jdbc integration — real-time, two-way sync

Keep Cin7 and Jdbc in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Cin7 and Jdbc

Give your engineers Cin7's data in Jdbc: read it with normal queries, write back through the sync, and skip the ERP API entirely.

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 Sales orders, Purchase orders, Contacts, Branches / locations from Cin7 into Jdbc 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 Jdbc sync back into Cin7 with its validations respected.

Common use cases

  • 01 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
  • 02 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 03 Publish Cin7 inventory levels to storefronts, marketplaces, and a CRM so every channel quotes real availability.
  • 04 Sync sales orders from Cin7 into an accounting platform or warehouse for revenue and margin reporting.

Common sync patterns

Internal tools and automations without API code

Scripts and services read and write the synced tables; Stacksync handles the Cin7 interface, limits, and retries.

React to ERP changes

Updates in Cin7 arrive as row changes in Jdbc, so jobs and triggers can respond as the business record changes.

Where Cin7 is the HR system of record: people data for internal systems

Worker and org records stay current in Jdbc for provisioning, access, and reporting systems that read from the database.

What you can sync between Cin7 and Jdbc

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.

Cin7 objects Jdbc objects How this pairing syncs
Sales orders Orders captured from all channels; the main object for fulfillment and revenue syncs. Primary keys & indexes Key and index definitions read via DatabaseMetaData; the primary key is required for reliable upserts, and indexes on the cursor column keep incremental polling fast. Sales orders is specific to Cin7 and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.
Purchase orders Supplier orders synced with procurement and accounting workflows. Schemas & catalogs Namespaces that group tables and views; the connector targets a schema/catalog and lists its objects from the JDBC metadata to build the sync. Purchase orders is specific to Cin7 and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side.
Contacts Customers and suppliers, matched to CRM records to keep account data consistent. Stored procedures & functions Server-side routines callable via JDBC CallableStatement; invoked for custom read or write logic when a table-level mapping is not enough. Contacts is specific to Cin7 and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.
Branches / locations Warehouse entities that scope every stock movement and order allocation. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Branches / locations is specific to Cin7 and Sequences to Jdbc — each maps to any object or custom field on the other side.
Stock adjustments and transfers Inventory movements read for audit and reconciliation reporting. Tables The base relational tables in the target database; synced two-way as rows over SQL, with each table's primary key driving upserts and row-level updates. Stock adjustments and transfers is specific to Cin7 and Tables to Jdbc — each maps to any object or custom field on the other side.
Credit notes / returns Return documents synced so finance and support see the same refund state. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Credit notes / returns is specific to Cin7 and Views to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Cin7 and Jdbc

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.

Cin7 Jdbc Sub-second propagation

DetectionCin7 notifies Stacksync of record changes through webhook events. Polling on modified-date filters.

DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.

Jdbc Cin7 Interval-based propagation

DetectionStacksync polls Jdbc for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

DeliveryEach detected change is written to Cin7 through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Cin7: Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core.
  • Jdbc: No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
What ships with Cin7 ⇄ Jdbc

Connect Cin7 and Jdbc for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Cin7–Jdbc connection.

Real-time

Two-way sync

Changes in Cin7 or Jdbc instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Cin7 or Jdbc data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.

At scale

Event queues

Handle millions of events per minute without losing a single Cin7 or Jdbc record.

Observability

Monitoring

Track your Cin7 ⇄ Jdbc sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Cin7 and Jdbc.

How the Cin7 and Jdbc connectors work

Cin7

Integration surface
REST API; note that Cin7 Omni and Cin7 Core (formerly DEAR Systems) are separate products with separate APIs
Authentication
API key credentials (paired with a username or account ID, depending on the product)
Change detection
Polling on modified-date filters; webhook support exists on some editions for order and stock events
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that differ between Cin7 Omni and Cin7 Core

Jdbc

Integration surface
JDBC API (java.sql / javax.sql) executing SQL through a JDBC driver, typically a pure-Java Type 4 driver; reaches any relational database with a driver - PostgreSQL, MySQL, SQL Server, Oracle, IBM DB2, and others - via a JDBC URL such as jdbc:postgresql://host:5432/db.
Authentication
A database user's username and password supplied in the JDBC connection (DriverManager or a DataSource), typically over a TLS/SSL-encrypted connection. Some drivers add Kerberos, integrated Windows auth, or cloud IAM-token auth, but the available methods depend on the target database and its driver.
Change detection
No native change feed. Incremental sync polls a cursor column - an updated_at timestamp or an auto-incrementing key - to pull new and changed rows; detecting deletes needs soft-delete flags or database triggers writing to a shadow table. No webhooks.
Capabilities
read · write
Rate limits
No SaaS-style request quota. Throughput is bounded by the target database's max connections and connection-pool size, plus the CPU and I/O it shares with production queries, so heavy syncs can contend with live workloads.
How it works

How to connect Cin7 to Jdbc — three steps, no code

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.

  1. 01

    Connect your apps

    Authenticate Cin7 and Jdbc with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Cin7 connected
    Jdbc connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Cin7 and Jdbc 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Cin7 ⇄ Jdbc
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Cin7 Jdbc
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Cin7 and Jdbc integration FAQ

SECURITY

Security teams trust Stacksync

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.

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SSO & SCIM

Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.

Alerts

Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.

Secure connection options

Securely connects to your systems with:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 425 integrations available for Cin7 and Jdbc.

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