Two-way sync
Changes in Attio or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Keep Attio and Azure SQL Database 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 Azure SQL Database, where it can be queried and joined like everything else.
Stacksync mirrors Custom objects, People, Companies, Users from Attio into Change tracking / CDC tables, Tables, Views, Schemas in Azure SQL Database 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.
Field and stage updates in Attio arrive as row changes in Azure SQL Database, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Attio become tables in Azure SQL Database you can join with application data directly.
Signup, usage, or lifecycle changes written to Azure SQL Database sync onto the matching records in Attio, giving go-to-market teams live product context.
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 | Azure SQL Database objects | |
|---|---|---|
| Custom objects Workspace-defined objects that behave like standard ones in the API. | Change tracking / CDC tables System-maintained change records used to drive incremental sync. | |
| People Standard person object; synced with marketing tools and warehouse person tables. | Tables The primary sync target; rows map one-to-one to records in the paired system. | |
| Companies Standard company object; matched to billing and product accounts in two-way syncs. | Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Schemas Namespaces that organize tables and control which objects a sync user can reach. | |
| Deals Pipeline records; read out for revenue reporting and written to from automation. | Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–Azure SQL Database connection.
Changes in Attio or Azure SQL Database instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Attio or Azure SQL Database 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 Azure SQL Database record.
Track your Attio ⇄ Azure SQL Database sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Attio and Azure SQL Database.
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 Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database: authenticate both systems, choose the objects to sync (such as Attio's Custom objects and People), map fields visually, and changes propagate both ways in milliseconds — no code required.
On the Attio side: Custom objects, People, Companies, Users, plus custom fields where Attio exposes them. On the Azure SQL Database side: Change tracking / CDC tables, Tables, Views, Schemas. 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 Attio and Azure SQL Database: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Attio arrive as row changes in Azure SQL Database, ready to drive jobs and notifications.
Attio: REST API. Authentication: Guided in-app connection ("Attio CRM" connection created in a few clicks, "without any coding required"); the docs do not name the underlying auth mechanism (OAuth vs API key). Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Stacksync manages authentication, retries, and rate limits on both sides.
Attio: The data model is user-definable: standard objects like people and companies coexist with custom objects, and attributes can be added to any object, so syncs read the schema at runtime. Azure SQL Database: Both change tracking (net changes per row) and change data capture (full change history from the transaction log) are available, giving two native options for incremental sync. Stacksync's field mapping accounts for these differences between Attio and Azure SQL Database without custom code.
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 Azure SQL Database.