Two-way sync
Changes in Treasuredata instantly reflect across connected systems. No stale data, no manual imports.
Two-way sync Treasuredata across all your CRMs, databases, data warehouses, EDI systems, and AI tools, with custom workflows tailored to your data.
These objects sync between Treasuredata and any connected system, with field-level mapping and conflict resolution. Custom fields are picked up from the live schema where Treasuredata exposes them.
The connector runs on Treasuredata's native API. Stacksync manages authentication, rate limits, retries, and schema changes so your team does not maintain integration code.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every connection.
Changes in Treasuredata instantly reflect across connected systems. No stale data, no manual imports.
Trigger automated workflows whenever Treasuredata data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Treasuredata record.
Track your Treasuredata sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions.
Treasure Data is an enterprise Customer Data Platform owned by marketing operations, MarTech, and data engineering teams. Behavioral, transactional, and CRM data lands in its columnar databases and tables, then gets unified into parent (master) segments — customer profiles — that drive segmentation, journeys, and predictive scoring. It is the system of engagement for audience data: where raw events accumulate and where unified profiles and campaign segments are built before activation to ad, email, and CRM destinations.
Two-way sync of a TD database's Tables with Postgres or BigQuery so engineering works in SQL while events keep landing in TD via its import APIs.
Read Master (Parent) Segment attributes and Segment membership out of TD and write them onto Salesforce Accounts or HubSpot Contacts so reps see CDP audience flags on the record.
Write CRM and product-usage records into TD Tables so they become source tables feeding parent-segment unification.
Push Predictive Segment propensity scores from TD onto customer records in an operational database or CRM for prioritization and lead routing.
Materialize Scheduled Query results into a warehouse table for BI, keeping TD's aggregates in sync with downstream reporting.
Read Master (Parent) Segment attributes and Segment membership from TD and write them onto Salesforce Accounts or HubSpot Contacts, so sales and lifecycle teams see CDP audience flags on the record.
Pick the system you need to keep in sync with Treasuredata. Each page covers the sync setup, field mapping, and common workflows for that pair.
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 Treasuredata with its native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Treasuredata objects to sync — Stacksync auto-detects the schema, 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.
FAQ
Treasuredata's core objects — Databases, Tables, Master (Parent) Segments, Segments and custom fields — can sync with any of 302 other systems. Every integration is real-time and bidirectional, with field-level mapping and conflict resolution.
Via TD API v3 (REST) for databases, tables, and jobs, plus the Audience API (REST) for CDP segments and journeys, authenticated with 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). Changes are detected as follows — 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. Stacksync manages rate limits, retries, and schema changes automatically.
Yes. Changes made in Treasuredata propagate to the connected system and vice versa, in milliseconds. One-way flows are also supported when a direction should stay read-only.
Most Treasuredata integrations go live in minutes: authenticate Treasuredata and the other system, pick objects and fields, and enable the sync. No code and no infrastructure to manage.
Stacksync is SOC 2 Type II, ISO 27001, GDPR and HIPAA compliant. Treasuredata data is encrypted in transit, and a zero-persistent-storage architecture means records are not retained after a sync operation.
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: