Two-way sync
Changes in Affinity or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Keep Affinity and TimescaleDB 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 TimescaleDB, where it can be queried and joined like everything else.
Stacksync mirrors Reminders, Lists, List Entries, Persons from Affinity into Schemas, Hypertables, Chunks, Continuous Aggregates in TimescaleDB 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.
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 TimescaleDB, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Affinity become tables in TimescaleDB you can join with application data directly.
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 | TimescaleDB objects | |
|---|---|---|
| Interactions Automatically captured emails and meetings, read for activity reporting. | Hypertables Time-partitioned tables that hold the main time-series data; the primary read and write target in syncs. | |
| Reminders Follow-up tasks associated with people and organizations. | Chunks Time-bounded partitions of a hypertable; syncs read and write through the parent hypertable and never address chunks directly. | |
| Lists Pipelines (deal flow, fundraising, portfolio) that structure most Affinity data; syncs usually target a specific list. | Continuous Aggregates Incrementally maintained rollups that serve as pre-aggregated read sources for downstream systems. | |
| List Entries The membership of a person, organization, or opportunity on a list, carrying its list-specific fields. | Regular PostgreSQL Tables Relational reference data such as devices, tenants, or accounts synced alongside the series data. | |
| Persons Contact records enriched with relationship intelligence, synced with CRMs and outreach tools. | Views Standard SQL views used to shape or filter data for consumers. | |
| Organizations Company records matched to accounts in other systems by domain. | Schemas Postgres namespaces used to separate synced datasets by team or environment. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Affinity–TimescaleDB connection.
Changes in Affinity or TimescaleDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Affinity or TimescaleDB 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 TimescaleDB record.
Track your Affinity ⇄ TimescaleDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Affinity and TimescaleDB.
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 TimescaleDB 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 TimescaleDB 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 TimescaleDB: authenticate both systems, choose the objects to sync (such as Affinity's Interactions and Reminders), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Affinity and TimescaleDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Affinity: Webhook subscriptions for record events, supplemented by polling. On TimescaleDB: Log-based capture via PostgreSQL logical decoding where the deployment allows it — hypertable changes surface on the underlying chunk tables and must be remapped to the parent — or timestamp-based polling on time columns; regular Postgres tables replicate through standard logical replication. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Affinity side: Reminders, Lists, List Entries, Persons, plus custom fields where Affinity exposes them. On the TimescaleDB side: Schemas, Hypertables, Chunks, Continuous Aggregates. 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 TimescaleDB: Internal tools without API code; Trigger workflows from CRM changes; Query the CRM like a database. Back-office apps read and write the synced tables; Stacksync handles the Affinity API, limits, and retries.
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 386 integrations available for Affinity and TimescaleDB.