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CRM ⇄ Database

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

Keep Affinity 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 Affinity and Jdbc

Treat Affinity 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 Notes, Interactions, Reminders, Lists from Affinity into Stored procedures & functions, Sequences, Tables, Views in Jdbc with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Affinity 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 notes and reminders into project or task systems used outside the deal team.
  • 02 Mirror deal-flow lists into a warehouse or BI tool for pipeline and portfolio reporting.
  • 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

Product events onto CRM records

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

Internal tools without API code

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

Trigger workflows from CRM changes

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

What you can sync between Affinity 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.

Affinity objects Jdbc objects How this pairing syncs
Opportunities Deal records tracked on lists and synced with pipeline reporting. 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 Affinity and Columns to Jdbc — each maps to any object or custom field on the other side.
Field Values Custom field data, either global or scoped to a list, mapped field-by-field in syncs. 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. Field Values is specific to Affinity and Primary keys & indexes to Jdbc — each maps to any object or custom field on the other side.
Notes Meeting and call notes synced for record-keeping in other systems. 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. Notes is specific to Affinity and Schemas & catalogs to Jdbc — each maps to any object or custom field on the other side.
Interactions Automatically captured emails and meetings, read for activity reporting. 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. Interactions is specific to Affinity and Stored procedures & functions to Jdbc — each maps to any object or custom field on the other side.
Reminders Follow-up tasks associated with people and organizations. Sequences Server-generated identity values; relevant when writing rows into tables whose keys are assigned by the database rather than the source system. Reminders is specific to Affinity and Sequences to Jdbc — each maps to any object or custom field on the other side.
Lists Pipelines (deal flow, fundraising, portfolio) that structure most Affinity data; syncs usually target a specific list. 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. Lists is specific to Affinity and Tables to Jdbc — each maps to any object or custom field on the other side.

How changes propagate between Affinity 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.

Affinity Jdbc Sub-second propagation

DetectionAffinity notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, supplemented by polling.

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

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

Rate-limit considerations

  • Affinity: Subject to the platform's published API rate limits.
  • 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 Affinity ⇄ Jdbc

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Affinity 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 Affinity or Jdbc record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Affinity and Jdbc connectors work

Affinity

Integration surface
REST API
Authentication
API key
Change detection
Webhook subscriptions for record events, supplemented by polling
Capabilities
read · write · webhooks
Rate limits
Subject to the platform's published API rate limits

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

    Choose tables

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

Affinity 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.

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 437 integrations available for Affinity and Jdbc.

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