Two-way sync
Changes in Affinity or Jdbc instantly reflect in both systems. No stale data, no manual imports.
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.
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.
Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in Affinity, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Affinity API, limits, and retries.
Field and stage updates in Affinity arrive as row changes in Jdbc, ready to drive jobs and notifications.
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. |
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.
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.
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.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Affinity–Jdbc connection.
Changes in Affinity or Jdbc instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Affinity or Jdbc data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Affinity or Jdbc record.
Track your Affinity ⇄ Jdbc sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Affinity and Jdbc.
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.
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.
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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Affinity and Jdbc: authenticate both systems, choose the objects to sync (such as Affinity's Opportunities and Field Values), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Affinity side: Notes, Interactions, Reminders, Lists, plus custom fields where Affinity exposes them. On the Jdbc side: Stored procedures & functions, Sequences, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
Common patterns for Affinity and Jdbc: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Jdbc sync onto the matching records in Affinity, giving go-to-market teams live product context.
Affinity: REST API. Authentication: API key. Jdbc: 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. Stacksync manages authentication, retries, and rate limits on both sides.
Affinity: Custom fields can be global or scoped to a single list, which affects how field mappings are defined per pipeline. Jdbc: Authentication is a database user's username and password in the JDBC connection, usually over TLS/SSL; some drivers add Kerberos or cloud IAM-token auth, but that is driver-specific. Stacksync's field mapping accounts for these differences between Affinity and Jdbc without custom code.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 437 integrations available for Affinity and Jdbc.