Real-time
Two-way sync
Changes in Close or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Close to Render Postgres integration — real-time, two-way sync
Keep Close 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
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Migrated from MuleSoft
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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 Close and Render Postgres
Treat Close 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 Users, Smart Views, Leads, Contacts from Close into Schemas, Columns and Types, Indexes and Constraints, Tables in Render Postgres with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Close 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 Push call, SMS, and email activity data into a warehouse for rep performance and outreach-cadence analysis.
- 02 Write product usage or firmographic data from an internal database onto Close lead custom fields to prioritize follow-up.
- 03 Replicate between a Render database and another Postgres or warehouse for migration or environment separation.
- 04 Two-way sync CRM or ERP objects into Render Postgres tables so product and ops teams query business data with plain SQL.
Common sync patterns
Query the CRM like a database
Accounts, contacts, and custom objects from Close become tables in Render Postgres you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Render Postgres sync onto the matching records in Close, 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 Close API, limits, and retries.
What you can sync between Close 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.
| Close objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Smart Views Saved lead searches that can scope which records a segment-based sync pulls. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Smart Views is specific to Close and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Leads The top-level record in Close; represents a company and holds its contacts, opportunities, and activity history. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Leads is specific to Close and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Contacts People nested under a lead, with emails and phone numbers used for outreach syncs. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Contacts is specific to Close and Schemas to Render Postgres — each maps to any object or custom field on the other side. | |
| Opportunities Deal records with value, confidence, and status; commonly synced to reporting and billing systems. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Opportunities is specific to Close and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Activities Calls, emails, SMS, notes, and meetings logged against a lead; the source for engagement analytics. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Activities is specific to Close and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Tasks Follow-up items assigned to users; synced for workload and SLA reporting. | 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. | Tasks is specific to Close and Tables to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Close 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.
Close Render Postgres Sub-second propagation
DetectionClose notifies Stacksync of record changes through webhook events. Webhook subscriptions for record events, with polling on date_updated fields for backfills.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Close 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 Close through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Close: Subject to per-endpoint rate limits communicated in response headers.
- 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 Close ⇄ Render Postgres
Connect Close and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Close–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Close 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 Close or Render Postgres record.
Observability
Monitoring
Track your Close ⇄ 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 Close and Render Postgres.
How the Close and Render Postgres connectors work
Close
- Integration surface
- REST API
- Authentication
- API key (sent via HTTP Basic auth)
- Change detection
- Webhook subscriptions for record events, with polling on date_updated fields for backfills
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-endpoint rate limits communicated in response headers
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 Close 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 Close 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.
Close
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Close 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 · Close ⇄ 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.
Close Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Close and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Close and Render Postgres: authenticate both systems, choose the objects to sync (such as Close's Smart Views and Leads), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes — Stacksync ships production-grade connectors for both Close and Render Postgres. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Close: Webhook subscriptions for record events, with polling on date_updated fields for backfills. On Render Postgres: 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. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Close side: Users, Smart Views, Leads, Contacts, plus custom fields where Close exposes them. On the Render Postgres side: Schemas, Columns and Types, Indexes and Constraints, Tables. Stacksync auto-detects both schemas and converts types between the two systems.
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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.
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Common patterns for Close and Render Postgres: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Close become tables in Render Postgres you can join with application data directly.
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
Every pair below is a real-time, two-way sync. Search all 439 integrations available for Close and Render Postgres.
Popular · 7 of 439
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Close ⇄ IBM Db2 -
Close ⇄ Firebase -
Close ⇄ SingleStore -
Close ⇄ Amazon Aurora -
Render Postgres ⇄ Freshworks CRM -
Render Postgres ⇄ Gorgias -
Render Postgres ⇄ Infor CRM
No integrations match .
