Two-way sync
Changes in Attio or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Keep Attio and SQL Server in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Teams sync Attio with SQL Server to keep an operational mirror of the CRM inside their own database. Attio People, Companies, and Deals land in SQL Server Tables with proper Schemas and Primary Keys, so engineering and analytics teams can query CRM data with standard SQL — and write back to Attio from the same tables.
Stacksync mirrors Deals, Workspaces, Custom objects, People from Attio into Databases, Schemas, Tables, Views in SQL Server with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Attio 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.
Attio People, Companies, and Deals sync into SQL Server Tables under a dedicated Schema, updated bi-directionally.
rows updated in SQL Server Tables propagate back to Attio Companies and Custom objects.
SQL Server Views join synced Attio Deals with internal tables for downstream reporting.
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 | SQL Server objects | How this pairing syncs | |
|---|---|---|---|
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Schemas Namespaces (dbo and custom) used to organize synced tables. | Workspaces is specific to Attio and Schemas to SQL Server — each maps to any object or custom field on the other side. | |
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Tables The primary sync target; rows map to records in connected systems. | Custom objects is specific to Attio and Tables to SQL Server — each maps to any object or custom field on the other side. | |
| People Standard person object; synced with marketing tools and warehouse person tables. | Views Read-side projections used as outbound sync sources. | People is specific to Attio and Views to SQL Server — each maps to any object or custom field on the other side. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Columns Field-level mapping targets with T-SQL types. | Companies is specific to Attio and Columns to SQL Server — each maps to any object or custom field on the other side. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Users is specific to Attio and Primary and Unique Keys to SQL Server — each maps to any object or custom field on the other side. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | CDC Change Tables System-populated tables holding captured inserts, updates, and deletes for consumers. | Deals is specific to Attio and CDC Change Tables to SQL Server — 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.
DetectionAttio notifies Stacksync of record changes through webhook events. Webhooks on record and list-entry events, with polling as a fallback.
DeliveryEach detected change is applied to SQL Server as a row-level write, with types converted between the two schemas.
DetectionChanges in SQL Server are captured at the source via change data capture — no polling loop against its API. SQL Server Native Change Data Capture (CDC).
DeliveryEach detected change is written to Attio through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–SQL Server connection.
Changes in Attio or SQL Server instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio or SQL Server 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 SQL Server record.
Track your Attio ⇄ SQL Server sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio and SQL Server.
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 SQL Server 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 SQL Server 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 SQL Server: authenticate both systems, choose the objects to sync (such as Attio's Workspaces and Custom objects), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Attio and SQL Server records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Attio and SQL Server connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Attio–SQL Server integration in-house.
Yes — Stacksync ships production-grade connectors for both Attio and SQL Server. 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 SQL Server: SQL Server Native Change Data Capture (CDC); a DBA runs a one-time setup script with sysadmin privileges to enable CDC and create Stacksync wrapper procedures. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Attio side: Deals, Workspaces, Custom objects, People, plus custom fields where Attio exposes them. On the SQL Server side: Databases, Schemas, Tables, Views. Stacksync auto-detects both schemas and converts types between the two systems.
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 563 integrations available for Attio and SQL Server.