Real-time
Two-way sync
Changes in Acumatica or Jdbc instantly reflect in both systems. No stale data, no manual imports.
ERP ⇄ Database
Acumatica to Jdbc integration — real-time, two-way sync
Keep Acumatica 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.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
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Migrated from Fivetran
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Migrated from Celigo
Why teams connect Acumatica and Jdbc
Give your engineers Acumatica'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 Journal Transactions, Projects, Opportunities and Cases, Customers from Acumatica into Jdbc and keeps both sides consistent in real time. Whatever Acumatica 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 Acumatica with its validations respected.
Common use cases
- 01 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
- 02 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
- 03 Replicate journal transactions and financial data into a SQL database for reporting and consolidation.
- 04 Sync vendor bills from AP automation tools into Acumatica for approval and payment.
Common sync patterns
Where Acumatica 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.
Controlled write-back
Choose exactly which tables and fields may flow from Jdbc back into Acumatica, keeping the ERP authoritative.
Read ERP records with a query
Records from Acumatica live in Jdbc as ordinary tables or collections, joinable with the rest of your data.
What you can sync between Acumatica 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.
| Acumatica objects | Jdbc objects | How this pairing syncs | |
|---|---|---|---|
| Opportunities and Cases Built-in CRM records synced with external sales and support tools. | 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. | Opportunities and Cases is specific to Acumatica and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side. | |
| Customers AR master data synced with CRMs and billing tools. | 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. | Customers is specific to Acumatica and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side. | |
| Vendors Supplier records aligned with procurement and AP automation. | Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. | Vendors is specific to Acumatica and Sequences to Jdbc — each maps to any object or custom field on the other side. | |
| Sales Orders Order documents created from e-commerce and CRM systems, read back for fulfillment status. | 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. | Sales Orders is specific to Acumatica and Tables to Jdbc — each maps to any object or custom field on the other side. | |
| Invoices AR and AP billing documents synced for payment tracking and CRM visibility. | Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. | Invoices is specific to Acumatica and Views to Jdbc — each maps to any object or custom field on the other side. | |
| Purchase Orders Procurement documents exchanged with supplier-facing systems. | Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. | Purchase Orders is specific to Acumatica and Columns to Jdbc — each maps to any object or custom field on the other side. |
How changes propagate between Acumatica 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.
Acumatica Jdbc Sub-second propagation
DetectionAcumatica notifies Stacksync of record changes through webhook events. Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields.
DeliveryEach detected change is applied to Jdbc as a row-level write, with types converted between the two schemas.
Jdbc Acumatica 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 Acumatica through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- 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 Acumatica ⇄ Jdbc
Connect Acumatica and Jdbc for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Acumatica–Jdbc connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Acumatica 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 Acumatica or Jdbc record.
Observability
Monitoring
Track your Acumatica ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Acumatica and Jdbc.
How the Acumatica and Jdbc connectors work
Acumatica
- Integration surface
- Contract-based REST API (JSON over versioned endpoints), plus SOAP web services and OData access to Generic Inquiries
- Authentication
- OAuth 2.0 or cookie-based session login with Acumatica credentials
- Change detection
- Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields
- Capabilities
- read · write · webhooks
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 Acumatica 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.
- 01
Connect your apps
Authenticate Acumatica 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.
Acumatica
connected
Jdbc connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Acumatica 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.
objects · Acumatica ⇄ JdbcCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Acumatica JdbcCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Acumatica and Jdbc integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Acumatica and Jdbc: authenticate both systems, choose the objects to sync (such as Acumatica's Opportunities and Cases and Customers), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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 Acumatica and Jdbc records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Acumatica and Jdbc connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Acumatica–Jdbc integration in-house.
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Yes — Stacksync ships production-grade connectors for both Acumatica and Jdbc. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Acumatica: Push notifications configurable on data changes, plus polling on LastModifiedDateTime fields. 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Jdbc side: Primary keys & indexes, Schemas & catalogs, Stored procedures & functions, Sequences, plus custom fields where Jdbc exposes them. On the Acumatica side: Journal Transactions, Projects, Opportunities and Cases, Customers. Stacksync auto-detects both schemas and converts types between the two systems.
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.
SOC 2 Type II
ISO 27001
HIPAA BAA
GDPR
CCPA
CSA STAR
DPF US-EU-UK-CH
→ SECURITY WITH BENEFITS
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:
Related integrations
Every pair below is a real-time, two-way sync. Search all 441 integrations available for Acumatica and Jdbc.
Popular · 6 of 441
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Acumatica ⇄ MongoDB -
Acumatica ⇄ CockroachDB -
Acumatica ⇄ Google AlloyDB -
Acumatica ⇄ Dynamo DB -
Jdbc ⇄ Infor LN - Jdbc ⇄ Infor M3
No integrations match .
