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Database ⇄ CRM

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

Keep Jdbc and Salesforce 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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  • POC with real engineers in minutes

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

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Why teams connect Jdbc and Salesforce

Treat Salesforce 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, Cases, Campaigns from Salesforce into Primary keys & indexes, Schemas & catalogs, Stored procedures & functions, Sequences in Jdbc with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Salesforce 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 Trigger provisioning or billing changes in an operational database when an Opportunity moves to closed-won.
  • 02 Consolidate multiple Salesforce orgs into a single database for cross-org reporting after an acquisition.
  • 03 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.
  • 04 Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.

Common sync patterns

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Salesforce API, limits, and retries.

Trigger workflows from CRM changes

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

Query the CRM like a database

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

What you can sync between Jdbc and Salesforce

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 Salesforce objects How this pairing 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. Opportunities Deal records with stage and amount; synced to databases for pipeline reporting and to ERPs at close. Schemas & catalogs is specific to Jdbc and Opportunities to Salesforce — 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. Cases Support records; synced with help desk tools or internal databases for escalation workflows. Stored procedures & functions is specific to Jdbc and Cases to Salesforce — 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. Campaigns Marketing membership data; read out for attribution analysis in the warehouse. Sequences is specific to Jdbc and Campaigns to Salesforce — 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. Tasks and Events Activity records; usually read-only in syncs to feed activity reporting. Tables is specific to Jdbc and Tasks and Events to Salesforce — 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. Products and Price Books Catalog and pricing data; commonly mastered in an ERP and written into Salesforce. Views is specific to Jdbc and Products and Price Books to Salesforce — 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. Custom Objects Org-specific tables with the __c suffix; discoverable via describe metadata so field mappings can be generated. Columns is specific to Jdbc and Custom Objects to Salesforce — each maps to any object or custom field on the other side.

How changes propagate between Jdbc and Salesforce

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.

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

Salesforce Jdbc Sub-second propagation

DetectionChanges in Salesforce are captured at the source via change data capture — no polling loop against its API. Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting).

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

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.
  • Salesforce: Daily API request allocations vary by edition and license count.
What ships with Jdbc ⇄ Salesforce

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Jdbc or Salesforce 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 Jdbc or Salesforce record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Jdbc and Salesforce connectors work

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.

Salesforce

Integration surface
REST, SOAP, and Bulk APIs
Authentication
OAuth login via a Salesforce user (browser-based authorization flow); requires "API Enabled" permission for polling mode, plus "Author Apex" and "Customize Application" OR "Modify All Data" for trigger mode
Change detection
Apex triggers are used whenever possible (Salesforce actively notifies Stacksync via an Apex trigger + callout class + remote site setting)
Capabilities
read · write · CDC
Rate limits
Daily API request allocations vary by edition and license count.
Salesforce setup guide
How it works

How to connect Jdbc to Salesforce — 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 Jdbc and Salesforce 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
    Jdbc connected
    Salesforce connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

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

Jdbc and Salesforce 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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→ 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 462 integrations available for Jdbc and Salesforce.

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