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CRM ⇄ Database

Infor CRM to Jdbc integration — real-time, two-way sync

Keep Infor CRM 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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Why teams connect Infor CRM and Jdbc

Treat Infor CRM like part of your database: its records live in Jdbc as real tables, and writes in either place sync to the other in seconds.

Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Jdbc, where it can be queried and joined like everything else.

Stacksync mirrors Leads, Opportunities, Tickets, Activities from Infor CRM into Columns, Primary keys & indexes, Schemas & catalogs, Stored procedures & functions in Jdbc with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Infor CRM with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.

Common use cases

  • 01 Sync opportunities and activities into a warehouse for pipeline and engagement reporting.
  • 02 Feed marketing platform leads into Infor CRM and return status updates for campaign attribution.
  • 03 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.
  • 04 Connect a niche or legacy RDBMS that has no dedicated Stacksync connector but ships a JDBC driver, using its JDBC URL to sync it two-way.

Common sync patterns

Trigger workflows from CRM changes

Field and stage updates in Infor CRM arrive as row changes in Jdbc, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Infor CRM become tables in Jdbc you can join with application data directly.

Product events onto CRM records

Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in Infor CRM, giving go-to-market teams live product context.

What you can sync between Infor CRM 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.

Infor CRM objects Jdbc objects How this pairing syncs
Custom entities Deployment-specific objects added through the customizable entity model. 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. Custom entities is specific to Infor CRM and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.
Accounts Company records matched against ERP customer masters in syncs. 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. Accounts is specific to Infor CRM and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side.
Contacts Person records synced with marketing and support 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. Contacts is specific to Infor CRM and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.
Leads Unqualified records synced in from marketing sources. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Leads is specific to Infor CRM and Sequences to Jdbc — each maps to any object or custom field on the other side.
Opportunities Pipeline records synced out for forecasting and 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. Opportunities is specific to Infor CRM and Tables to Jdbc — each maps to any object or custom field on the other side.
Tickets Service records synced with helpdesk and field service systems. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Tickets is specific to Infor CRM and Views to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Infor CRM 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.

Infor CRM Jdbc Interval-based propagation

DetectionStacksync polls Infor CRM for changes on an incremental schedule, reading only records changed since the previous pass. Polling on modified timestamps.

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

Jdbc Infor CRM 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 Infor CRM through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Infor CRM: Subject to the deployment's configured API limits, which differ between on-premises and cloud installs.
  • 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 Infor CRM ⇄ Jdbc

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Infor CRM 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 Infor CRM or Jdbc record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Infor CRM and Jdbc connectors work

Infor CRM

Integration surface
REST-style SData API over the CRM entity model
Authentication
User credentials; Infor OS-managed authentication in cloud deployments
Change detection
Polling on modified timestamps; no log-based CDC on the API surface
Capabilities
read · write
Rate limits
Subject to the deployment's configured API limits, which differ between on-premises and cloud installs.

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 Infor CRM 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 Infor CRM 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
    Infor CRM connected
    Jdbc connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Infor CRM 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 · Infor CRM ⇄ 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
    Infor CRM Jdbc
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Infor CRM 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.

Learn more about security
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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:

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 447 integrations available for Infor CRM and Jdbc.

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