Real-time
Two-way sync
Changes in Attio or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Attio to Render Postgres integration — real-time, two-way sync
Keep Attio and Render Postgres in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
- SOC 2 and 6 other compliance frameworks
- POC with real engineers in minutes
Adopted by fast-scaling companies moving mission-critical data in real time
Case study
Migrated from MuleSoft
Case study
Migrated from Celigo
Migrated from Heroku Connect
Migrated from Matillion
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Attio and Render Postgres
Treat Attio like part of your database: its records live in Render Postgres as real tables, and writes in either place sync to the other in seconds.
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 Render Postgres, where it can be queried and joined like everything else.
Stacksync mirrors Custom objects, People, Companies, Users from Attio into Materialized Views, Schemas, Columns and Types, Indexes and Constraints in Render Postgres 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.
Common use cases
- 01 Run a two-way dual-run when migrating to Attio from another CRM.
- 02 Sync companies, people, and deals with Postgres so ops teams enrich and update CRM records with SQL.
- 03 Capture row-level changes via logical replication and propagate them to a warehouse or another database in near real time.
- 04 Serve as the operational read/write store behind internal tools while Stacksync keeps it consistent with SaaS systems of record.
Common sync patterns
Product events onto CRM records
Signup, usage, or lifecycle changes written to Render Postgres sync onto the matching records in Attio, giving go-to-market teams live product context.
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Attio API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Attio arrive as row changes in Render Postgres, ready to drive jobs and notifications.
What you can sync between Attio and Render Postgres
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 | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| People Standard person object; synced with marketing tools and warehouse person tables. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | People is specific to Attio and Schemas to Render Postgres — 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 and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Companies is specific to Attio and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Users Synced with incremental and full sync per the Stacksync docs. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Users is specific to Attio and Indexes and Constraints to Render Postgres — 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. | Tables Relational tables with full column typing; synced two-way with CRMs, ERPs, and SaaS apps so application data is queryable as plain Postgres rows. | Deals is specific to Attio and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Workspaces Synced with incremental and full sync per the Stacksync docs. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Workspaces is specific to Attio and Views to Render Postgres — 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. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Custom objects is specific to Attio and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Attio and Render Postgres
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.
Attio Render Postgres Sub-second propagation
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 Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Attio Sub-second propagation
DetectionChanges in Render Postgres are captured at the source via change data capture — no polling loop against its API. Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the.
DeliveryEach detected change is written to Attio through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Attio: Subject to the platform's published API rate limits.
- Render Postgres: No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
What ships with Attio ⇄ Render Postgres
Connect Attio and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Attio–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Attio or Render Postgres 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 Attio or Render Postgres record.
Observability
Monitoring
Track your Attio ⇄ Render Postgres sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Attio and Render Postgres.
How the Attio and Render Postgres connectors work
Attio
- Integration surface
- 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)
- Change detection
- Webhooks on record and list-entry events, with polling as a fallback
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's published API rate limits.
Render Postgres
- Integration surface
- PostgreSQL wire protocol (managed Postgres on Render)
- Authentication
- Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting
- Change detection
- Logical replication via WAL and replication slots for change data capture when enabled on the instance, with timestamp or cursor-based polling as the fallback
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits — throughput is bounded by the instance's plan (CPU, RAM, connection limit); connection pooling is recommended since managed plans cap concurrent connections.
How it works
How to connect Attio to Render Postgres — 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 Attio and Render Postgres with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Attio
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Attio and Render Postgres 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 · Attio ⇄ Render PostgresCustomers 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.
Attio Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Attio and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Attio and Render Postgres: authenticate both systems, choose the objects to sync (such as Attio's People and Companies), map fields visually, and changes propagate both ways in milliseconds — no code required.
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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). Render Postgres: PostgreSQL wire protocol (managed Postgres on Render). Authentication: Standard Postgres connection string — host, port, database, user, password with TLS; Render provides internal and external connection URLs and IP allowlisting. Stacksync manages authentication, retries, and rate limits on both sides.
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Attio: Object coverage limited to the six listed entries (People, Companies, Users, Deals, Workspaces, custom objects); anything else requires emailing Stacksync. Render Postgres: Render Postgres is standard PostgreSQL — anything that speaks the Postgres protocol works unchanged, including logical replication clients. Stacksync's field mapping accounts for these differences between Attio and Render Postgres without custom code.
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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 Render Postgres records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Attio and Render Postgres connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Attio–Render Postgres integration in-house.
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Yes — Stacksync ships production-grade connectors for both Attio and Render Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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
CSA STAR
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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