Two-way sync
Changes in Attio or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Keep Attio and MotherDuck in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.
Stacksync does both with one connection. Custom objects, People, Companies, Users from Attio land in MotherDuck as live tables, updated within seconds, and columns computed in MotherDuck write back to fields in Attio. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.
Join Attio's relationship data with billing, product, and support data in MotherDuck to build the customer picture the CRM alone cannot hold.
Deduplication and normalization done in MotherDuck can be written back, so warehouse-side cleanup actually fixes the CRM.
Accounts, contacts, and activity from Attio are queryable in MotherDuck moments after they change, so dashboards stop lagging the reality they describe.
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.
| Attio objects | MotherDuck objects | |
|---|---|---|
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Views Modeled projections used as outbound sync sources. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Database Shares Read-only copies of a database shared with other users or teams. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | Attached Local DuckDB Databases Local files attached alongside cloud databases for hybrid queries. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Databases Cloud-hosted DuckDB databases that scope a sync's reads and writes. | |
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Schemas Namespaces within a database used to organize synced tables. | |
| People Standard person object; synced with marketing tools and warehouse person tables. | Tables The main landing target for synced records and source for analysis. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–MotherDuck connection.
Changes in Attio or MotherDuck instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio or MotherDuck data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Attio or MotherDuck record.
Track your Attio ⇄ MotherDuck sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio and MotherDuck.
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 Attio and MotherDuck 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 Attio and MotherDuck 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 Attio and MotherDuck: authenticate both systems, choose the objects to sync (such as Attio's Companies and Users), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Attio and MotherDuck connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Attio–MotherDuck integration in-house.
Yes — Stacksync ships production-grade connectors for both Attio and MotherDuck. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Attio: Webhooks on record and list-entry events, with polling as a fallback. On MotherDuck: Polling; no log-based CDC or webhook surface is exposed. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Attio side: Custom objects, People, Companies, Users, plus custom fields where Attio exposes them. On the MotherDuck side: Attached Local DuckDB Databases, Databases, Schemas, Tables. 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.
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 Attio and MotherDuck.