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Connect Jdbc to any app with two-way sync.

Two-way sync Jdbc across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.

  • 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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Object catalog

What Stacksync syncs in Jdbc.

These objects sync between Jdbc and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Jdbc exposes them.

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.
Views
Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream.
Columns
Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings.
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.
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.
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.
Sequences
Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system.
API surface

How Stacksync connects to Jdbc.

The connector runs on Jdbc's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.

Connection
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.
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.

Sync directions

  • Read Supported
  • Write Supported
  • Change data capture Not available
  • Webhooks Not available
What ships with Jdbc

Connect Jdbc for flexible, real-time data sync.

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

Real-time

Two-way sync

Changes in Jdbc instantly reflect across connected systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever 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 Jdbc record.

Observability

Monitoring

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

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions.

Use cases

What teams run on the Jdbc connector.

JDBC is the standard Java API for talking to relational databases - the connection layer behind countless enterprise apps, ETL jobs, and BI tools. A JDBC connector matters when a team runs a database Stacksync has no dedicated connector for but that ships a JDBC driver: a legacy, on-prem, or niche RDBMS such as Oracle, IBM DB2, Sybase, or an older SQL Server. Owned by DBAs, data engineers, and backend teams, that database is usually a system of record with full read and write, so they sync tables both ways - out to a warehouse or SaaS app for reporting, and back with edits from other systems.

  • Database administrators (DBAs)
  • Data engineers
  • Backend / application engineers
  • Integration / middleware teams
  • Platform / DevOps engineers

  1. Two-way sync a table in any JDBC-reachable database (PostgreSQL, MySQL, SQL Server, Oracle) with a SaaS system of record like Salesforce so records stay aligned as either side changes.

  2. Replicate operational tables from a legacy or on-prem database into a warehouse such as Snowflake, BigQuery, or Redshift for analytics without manual exports.

  3. Write records from a CRM, ERP, or another app back into database tables via SQL INSERT and UPDATE so the database stays current.

  4. 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.

  5. Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.

  6. Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.

All Jdbc integrations

Pick the system you need to keep in sync with Jdbc. Each page covers the sync setup, field mapping, and common workflows for that pair.

CRM · 31

ERP · 24

Database · 12

Data warehouse · 8

Business productivity · 31

Accounting and finance · 13

How it works

Set up Jdbc in minutes, without APIs.

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 with its 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
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Jdbc objects to sync — Stacksync auto-detects the schema, 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
    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 database
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Jdbc connector FAQ

What can I sync with the Jdbc connector?

Jdbc's core objects — Tables, Views, Columns, Primary keys & indexes and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.

How does Stacksync connect to Jdbc?

Via 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., authenticated with 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.. Changes are detected as follows — 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.. Stacksync manages rate limits, retries, and schema changes automatically.

Is the Jdbc connector two-way?

Yes. Changes made in Jdbc propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.

How long does a Jdbc integration take to set up?

Most Jdbc integrations go live in minutes: authenticate Jdbc and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.

Is Jdbc data secure in transit?

Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Jdbc data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.

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
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more
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