Real-time
Two-way sync
Changes in Affinity or Treasuredata instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Analytics
Affinity to Treasuredata integration — real-time, two-way sync
Keep Affinity and Treasuredata 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 Treasuredata
Put live Affinity data behind every dashboard and cohort in Treasuredata, and write the segments and scores Treasuredata computes back onto the Affinity record — one connection, not a nightly export.
Treasuredata turns data into dashboards, cohorts, and metrics; Affinity is where customers, contacts, deals, and activity actually live and change. The two meet wherever a number is really about a specific account, segment, or stage — yet most teams feed the CRM into analytics as a nightly extract or a hand-maintained connector, so the reporting lags the business and can't be sliced by the customers and segments that matter.
Stacksync syncs Lists, List Entries, Persons, Organizations from Affinity into Treasuredata field by field and within seconds, so every dashboard and cohort runs on current records instead of a stale copy. Because the connection runs both ways, the cohorts, scores, and metrics computed in Treasuredata write back to fields in Affinity, landing where the people working accounts can see them. You decide which system owns which fields; Stacksync keeps every copy consistent and resolves conflicts by rules you set.
Common use cases
- 01 Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
- 02 Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
- 03 Mirror deal-flow lists into a warehouse or BI tool for pipeline and portfolio reporting.
- 04 Push enrichment data computed elsewhere into Affinity field values on list entries.
Common sync patterns
Where Affinity accepts updates: segments and scores back on the record
Cohorts, scores, and computed metrics from Treasuredata sync onto fields in Affinity, putting the analysis where reps and owners actually work the accounts.
One customer across analytics and CRM
The same account or person is keyed consistently in both systems, so a profile or row in Treasuredata lines up with the contact or account in Affinity.
A record that outlives edits in the CRM
A continuously synced copy of Affinity's records and activity in Treasuredata keeps a queryable history even as records change or age out of the CRM.
What you can sync between Affinity and Treasuredata
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 | Treasuredata objects | How this pairing syncs | |
|---|---|---|---|
| Opportunities Deal records tracked on lists and synced with pipeline reporting. | Segments Campaign subsets of a parent segment; membership read out to activate audiences in downstream systems, or audience flags written back onto records. | Opportunities is specific to Affinity and Segments to Treasuredata — 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. | Journeys Timeline-based event sequences in Audience Studio; stage and membership read out for reporting and cross-system activation. | Field Values is specific to Affinity and Journeys to Treasuredata — each maps to any object or custom field on the other side. | |
| Notes Meeting and call notes synced for record-keeping in other systems. | Predictive Segments AI/ML-scored segments; propensity scores read out and written onto customer records in a CRM or database for prioritization. | Notes is specific to Affinity and Predictive Segments to Treasuredata — each maps to any object or custom field on the other side. | |
| Interactions Automatically captured emails and meetings, read for activity reporting. | Scheduled Queries Cron-scheduled Presto/Trino (or Hive) jobs that materialize results into result tables; Stacksync reads those materialized tables downstream. | Interactions is specific to Affinity and Scheduled Queries to Treasuredata — each maps to any object or custom field on the other side. | |
| Reminders Follow-up tasks associated with people and organizations. | Query Jobs Ad-hoc Presto/Trino query jobs run asynchronously; results are retrieved from the job result endpoint and fed into downstream systems. | Reminders is specific to Affinity and Query Jobs to Treasuredata — 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. | Databases Logical containers for tables; a sync targets one database and maps its tables to warehouse or operational-DB tables. | Lists is specific to Affinity and Databases to Treasuredata — each maps to any object or custom field on the other side. |
How changes propagate between Affinity and Treasuredata
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 Treasuredata Sub-second propagation
DetectionAffinity notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, supplemented by polling.
DeliveryEach detected change is written to Treasuredata through its API, with automatic retries and rate-limit backoff.
Treasuredata Affinity Interval-based propagation
DetectionStacksync polls Treasuredata for changes on an incremental schedule, reading only records changed since the previous pass. Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column.
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.
- Treasuredata: TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs.
What ships with Affinity ⇄ Treasuredata
Connect Affinity and Treasuredata for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Affinity–Treasuredata connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Affinity or Treasuredata 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 Treasuredata record.
Observability
Monitoring
Track your Affinity ⇄ Treasuredata 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 Treasuredata.
How the Affinity and Treasuredata 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
Treasuredata
- Integration surface
- TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys
- Authentication
- API key sent as an `Authorization: TD1 <api_key>` header (per-user or account key from the TD Console); requests go to the region-specific endpoint (e.g. api.treasuredata.com for US, with separate EU and Tokyo endpoints)
- Change detection
- Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark
- Capabilities
- read · write
- Rate limits
- TD does not publish a fixed request-per-second cap; query throughput is bounded by the account's compute resource pool and large reads/exports run as asynchronous jobs
How it works
How to connect Affinity to Treasuredata — 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.
- 01
Connect your apps
Authenticate Affinity and Treasuredata with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Affinity
connected
Treasuredata
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Affinity and Treasuredata 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.
objects · Affinity ⇄ TreasuredataCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Affinity TreasuredataCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Affinity and Treasuredata integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Affinity and Treasuredata: 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.
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Yes — Stacksync ships production-grade connectors for both Affinity and Treasuredata. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Affinity: Webhook subscriptions for record events, supplemented by polling. On Treasuredata: Polling on the mandatory `time` column (Unix-epoch partition key) or an updated-at column; TD stores append-oriented columnar data with no per-row CDC stream, so incremental syncs query for rows past a stored watermark. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Treasuredata side: Tables, Master (Parent) Segments, Segments, Journeys, plus custom fields where Treasuredata exposes them. On the Affinity side: Lists, List Entries, Persons, Organizations. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Affinity and Treasuredata: Where Affinity accepts updates: segments and scores back on the record; One customer across analytics and CRM; A record that outlives edits in the CRM. Cohorts, scores, and computed metrics from Treasuredata sync onto fields in Affinity, putting the analysis where reps and owners actually work the accounts.
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
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
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