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CRM ⇄ Database

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

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

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Why teams connect Close and Jdbc

Treat Close 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, Contacts, Opportunities, Activities from Close into Tables, Views, Columns, Primary keys & indexes in Jdbc with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Close 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 Keep Close contacts aligned with a marketing automation platform so outreach lists stay current.
  • 02 Push call, SMS, and email activity data into a warehouse for rep performance and outreach-cadence analysis.
  • 03 Incrementally sync a high-volume table by polling an updated_at or auto-increment column, keeping a downstream store fresh without full reloads.
  • 04 Consolidate several databases from different vendors into one relational store by syncing each through its own JDBC driver.

Common sync patterns

Trigger workflows from CRM changes

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

Query the CRM like a database

Accounts, contacts, and custom objects from Close 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 Close, giving go-to-market teams live product context.

What you can sync between Close 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.

Close objects Jdbc objects How this pairing syncs
Leads The top-level record in Close; represents a company and holds its contacts, opportunities, and activity history. 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. Leads is specific to Close and Tables to Jdbc — each maps to any object or custom field on the other side.
Contacts People nested under a lead, with emails and phone numbers used for outreach syncs. Views Stored SELECT queries exposed like tables; read-only projections synced outbound when raw base tables should not be exposed downstream. Contacts is specific to Close and Views to Jdbc — each maps to any object or custom field on the other side.
Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems. Columns Per-table fields with data types, nullability, and defaults; enumerated via DatabaseMetaData.getColumns to auto-generate and type-check field mappings. Opportunities is specific to Close and Columns to Jdbc — each maps to any object or custom field on the other side.
Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics. 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. Activities is specific to Close and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.
Tasks Follow-up items assigned to users; synced for workload and SLA reporting. 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. Tasks is specific to Close and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side.
Custom Activities User-defined activity types with their own custom fields, mapped like standard activities. 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. Custom Activities is specific to Close and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Close 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.

Close Jdbc Sub-second propagation

DetectionClose notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling on date_updated fields for backfills.

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

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

Rate-limit considerations

  • Close: Subject to per-endpoint rate limits communicated in response headers.
  • 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 Close ⇄ Jdbc

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Close 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 Close or Jdbc record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Close and Jdbc connectors work

Close

Integration surface
REST API
Authentication
API key (sent via HTTP Basic auth)
Change detection
Webhook subscriptions for record events, with polling on date_updated fields for backfills
Capabilities
read · write · webhooks
Rate limits
Subject to per-endpoint rate limits communicated in response headers

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

    Choose tables

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

Close 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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ISO 27001
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CCPA
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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 454 integrations available for Close and Jdbc.

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