Two-way sync
Changes in Jdbc or Syspro instantly reflect in both systems. No stale data, no manual imports.
Keep Jdbc and Syspro 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 Inventory items, Sales orders, Purchase orders, Jobs (work orders) from Syspro into Jdbc and keeps both sides consistent in real time. Whatever Syspro 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 Syspro with its validations respected.
Scripts and services read and write the synced tables; Stacksync handles the Syspro interface, limits, and retries.
Updates in Syspro arrive as row changes in Jdbc, so jobs and triggers can respond as the business record changes.
Worker and org records stay current in Jdbc for provisioning, access, and reporting systems that read from the database.
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.
| Jdbc objects | Syspro objects | How this pairing syncs | |
|---|---|---|---|
| Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Inventory items The stock master, kept aligned with WMS and e-commerce catalogs. | Views is specific to Jdbc and Inventory items to Syspro — each maps to any object or custom field on the other side. | |
| Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Sales orders Orders written in from storefronts and CRMs, with status read back out. | Columns is specific to Jdbc and Sales orders to Syspro — each maps to any object or custom field on the other side. | |
| 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. | Purchase orders Procurement documents synced with supplier portals and receiving. | Primary keys & indexes is specific to Jdbc and Purchase orders to Syspro — each maps to any object or custom field on the other side. | |
| 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. | Jobs (work orders) Manufacturing jobs and WIP tracked for production reporting. | Schemas & catalogs is specific to Jdbc and Jobs (work orders) to Syspro — each maps to any object or custom field on the other side. | |
| 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. | Bills of materials Product structures referenced when syncing manufacturing data. | Stored procedures & functions is specific to Jdbc and Bills of materials to Syspro — each maps to any object or custom field on the other side. | |
| Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | AR invoices Billing documents surfaced to CRMs and finance reporting. | Sequences is specific to Jdbc and AR invoices to Syspro — each maps to any object or custom field on the other side. |
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.
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 Syspro through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Syspro for changes on an incremental schedule, reading only records changed since the previous pass. Polling.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Jdbc–Syspro connection.
Changes in Jdbc or Syspro instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jdbc or Syspro data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Jdbc or Syspro record.
Track your Jdbc ⇄ Syspro sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jdbc and Syspro.
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 Jdbc and Syspro 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 Jdbc and Syspro 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 Jdbc and Syspro: authenticate both systems, choose the objects to sync (such as Jdbc's Views and Columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Jdbc side: Schemas & catalogs, Stored procedures & functions, Sequences, Tables, plus custom fields where Jdbc exposes them. On the Syspro side: Inventory items, Sales orders, Purchase orders, Jobs (work orders). Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Jdbc and Syspro: Internal tools and automations without API code; React to ERP changes; Where Syspro is the HR system of record: people data for internal systems. Scripts and services read and write the synced tables; Stacksync handles the Syspro interface, limits, and retries.
Jdbc: 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. Syspro: E.net Solutions business objects, exposed over REST and WCF interfaces in SYSPRO 8. Authentication: SYSPRO operator credentials exchanged for a session token. Stacksync manages authentication, retries, and rate limits on both sides.
Jdbc: There is no native change feed - incremental sync needs a cursor column (an updated_at timestamp or an auto-incrementing key), and detecting deletes requires soft-delete flags or triggers because a plain SELECT cannot see removed rows. Syspro: Business objects exchange XML documents for both input and output, which the integration layer maps to flat records. Stacksync's field mapping accounts for these differences between Jdbc and Syspro without custom code.
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 431 integrations available for Jdbc and Syspro.