Two-way sync
Changes in Jdbc or Plex ERP instantly reflect in both systems. No stale data, no manual imports.
Keep Jdbc and Plex ERP 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 Shipments, Quality records, Parts, Inventory from Plex ERP into Jdbc and keeps both sides consistent in real time. Whatever Plex ERP 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 Plex ERP with its validations respected.
Choose exactly which tables and fields may flow from Jdbc back into Plex ERP, keeping the ERP authoritative.
Records from Plex ERP live in Jdbc as ordinary tables or collections, joinable with the rest of your data.
Scripts and services read and write the synced tables; Stacksync handles the Plex ERP interface, limits, and retries.
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 | Plex ERP objects | How this pairing syncs | |
|---|---|---|---|
| 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. | Quality records Checksheet and inspection data pulled into plant dashboards | Stored procedures & functions is specific to Jdbc and Quality records to Plex ERP — 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. | Parts Item master records shared with CRM, e-commerce, and planning tools | Sequences is specific to Jdbc and Parts to Plex ERP — each maps to any object or custom field on the other side. | |
| 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. | Inventory On-hand balances and locations replicated for visibility outside the plant system | Tables is specific to Jdbc and Inventory to Plex ERP — each maps to any object or custom field on the other side. | |
| Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Production jobs Shop-floor work records combining ERP and MES data for output reporting | Views is specific to Jdbc and Production jobs to Plex ERP — 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 Demand records written in from e-commerce or EDI channels and read out for fulfillment status | Columns is specific to Jdbc and Sales orders to Plex ERP — 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 records mirrored to accounting and planning systems | Primary keys & indexes is specific to Jdbc and Purchase orders to Plex ERP — 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 Plex ERP through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Plex ERP 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–Plex ERP connection.
Changes in Jdbc or Plex ERP instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Jdbc or Plex ERP 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 Plex ERP record.
Track your Jdbc ⇄ Plex ERP sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Jdbc and Plex ERP.
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 Plex ERP 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 Plex ERP 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 Plex ERP: authenticate both systems, choose the objects to sync (such as Jdbc's Stored procedures & functions and Sequences), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Jdbc and Plex ERP. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Jdbc: 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. On Plex ERP: Polling; no general-purpose change webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Jdbc side: Primary keys & indexes, Schemas & catalogs, Stored procedures & functions, Sequences, plus custom fields where Jdbc exposes them. On the Plex ERP side: Shipments, Quality records, Parts, Inventory. 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 Plex ERP: Controlled write-back; Read ERP records with a query; Internal tools and automations without API code. Choose exactly which tables and fields may flow from Jdbc back into Plex ERP, keeping the ERP authoritative.
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 430 integrations available for Jdbc and Plex ERP.