Real-time
Two-way sync
Changes in Kommo or Render Postgres instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Kommo to Render Postgres integration — real-time, two-way sync
Keep Kommo 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
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect Kommo and Render Postgres
Treat Kommo 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, Chats, Leads, Contacts from Kommo 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 Kommo 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 Replicate Kommo leads and contacts into a database or warehouse for reporting beyond built-in dashboards
- 02 Push web form and product signups into Kommo pipelines as they are submitted so messenger-based follow-up starts quickly
- 03 Serve as the operational read/write store behind internal tools while Stacksync keeps it consistent with SaaS systems of record.
- 04 Replicate between a Render database and another Postgres or warehouse for migration or environment separation.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in Kommo arrive as row changes in Render Postgres, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Kommo 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 Kommo, giving go-to-market teams live product context.
What you can sync between Kommo 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.
| Kommo objects | Render Postgres objects | How this pairing syncs | |
|---|---|---|---|
| Leads The central pipeline record; external signups and form fills sync in as leads. | Columns and Types Full Postgres type system including JSONB and arrays; field mappings preserve native types instead of flattening to strings. | Leads is specific to Kommo and Columns and Types to Render Postgres — each maps to any object or custom field on the other side. | |
| Contacts Person records sync with other CRMs and databases for a shared contact file. | Indexes and Constraints Primary keys, unique constraints, and foreign keys; unique keys drive idempotent upserts and conflict resolution during sync. | Contacts is specific to Kommo and Indexes and Constraints to Render Postgres — each maps to any object or custom field on the other side. | |
| Companies Organization records map to accounts in ERPs and invoicing tools. | 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. | Companies is specific to Kommo and Tables to Render Postgres — each maps to any object or custom field on the other side. | |
| Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. | Views Saved queries exposed as read-only relations; read out to BI tools or downstream syncs without duplicating transformation logic. | Pipelines & Statuses is specific to Kommo and Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Tasks Follow-up records keep rep activity consistent across systems. | Materialized Views Precomputed query results refreshed on demand; read for fast reporting tables that downstream systems can consume. | Tasks is specific to Kommo and Materialized Views to Render Postgres — each maps to any object or custom field on the other side. | |
| Notes Free-text and system notes attach context to synced leads and contacts. | Schemas Namespaces that organize tables per app or environment; sync targets are scoped per schema to keep synced data isolated and tidy. | Notes is specific to Kommo and Schemas to Render Postgres — each maps to any object or custom field on the other side. |
How changes propagate between Kommo 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.
Kommo Render Postgres Sub-second propagation
DetectionKommo notifies Stacksync of record changes through webhook events. Webhooks on record add and update events, plus polling for backfill.
DeliveryEach detected change is applied to Render Postgres as a row-level write, with types converted between the two schemas.
Render Postgres Kommo 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 Kommo through its API, with automatic retries and rate-limit backoff.
Rate-limit considerations
- Kommo: Subject to per-account request 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 Kommo ⇄ Render Postgres
Connect Kommo and Render Postgres for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Kommo–Render Postgres connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Kommo 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 Kommo or Render Postgres record.
Observability
Monitoring
Track your Kommo ⇄ 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 Kommo and Render Postgres.
How the Kommo and Render Postgres connectors work
Kommo
- Integration surface
- REST API
- Authentication
- OAuth 2.0 with refresh tokens
- Change detection
- Webhooks on record add and update events, plus polling for backfill
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account request 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 Kommo 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 Kommo 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.
Kommo
connected
Render Postgres
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Kommo 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 · Kommo ⇄ 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.
Kommo Render PostgresCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Kommo and Render Postgres integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Kommo and Render Postgres: authenticate both systems, choose the objects to sync (such as Kommo's Leads and Contacts), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
Change detection on Kommo: Webhooks on record add and update events, plus polling for backfill. 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 Kommo side: Users, Chats, Leads, Contacts, plus custom fields where Kommo 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 Kommo and Render Postgres: Trigger workflows from CRM changes; Query the CRM like a database; Product events onto CRM records. Field and stage updates in Kommo arrive as row changes in Render Postgres, ready to drive jobs and notifications.
-
Kommo: REST API. Authentication: OAuth 2.0 with refresh tokens. 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.
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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Render Postgres ⇄ ZoomInfo
No integrations match .
