Two-way sync
Changes in AWS Aurora PostgreSQL or Kommo instantly reflect in both systems. No stale data, no manual imports.
Keep AWS Aurora PostgreSQL and Kommo 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 AWS Aurora PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Companies, Pipelines & Statuses, Tasks, Notes from Kommo into Replication slots and publications, Databases and schemas, Tables, Rows in AWS Aurora PostgreSQL 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.
Field and stage updates in Kommo arrive as row changes in AWS Aurora PostgreSQL, ready to drive jobs and notifications.
Accounts, contacts, and custom objects from Kommo become tables in AWS Aurora PostgreSQL you can join with application data directly.
Signup, usage, or lifecycle changes written to AWS Aurora PostgreSQL sync onto the matching records in Kommo, 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.
| AWS Aurora PostgreSQL objects | Kommo objects | |
|---|---|---|
| Columns Rich Postgres types including JSONB and arrays are mapped to the paired system's fields. | Leads The central pipeline record; external signups and form fills sync in as leads. | |
| Primary keys and constraints Identify rows for upserts and enforce integrity on sync writes. | Contacts Person records sync with other CRMs and databases for a shared contact file. | |
| Views and materialized views Usable as read-only sources for filtered or precomputed sync datasets. | Companies Organization records map to accounts in ERPs and invoicing tools. | |
| Foreign keys Relationship metadata that syncs can translate into object references elsewhere. | Pipelines & Statuses Stage definitions structure lead progress and drive stage-change syncs to reporting tools. | |
| Replication slots and publications The logical replication objects that power log-based CDC. | Tasks Follow-up records keep rep activity consistent across systems. | |
| Databases and schemas PostgreSQL's two-level namespace scopes which tables a sync connection targets. | Notes Free-text and system notes attach context to synced leads and contacts. |
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every AWS Aurora PostgreSQL–Kommo connection.
Changes in AWS Aurora PostgreSQL or Kommo instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever AWS Aurora PostgreSQL or Kommo data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single AWS Aurora PostgreSQL or Kommo record.
Track your AWS Aurora PostgreSQL ⇄ Kommo sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between AWS Aurora PostgreSQL and Kommo.
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 AWS Aurora PostgreSQL and Kommo 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 AWS Aurora PostgreSQL and Kommo 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 AWS Aurora PostgreSQL and Kommo: authenticate both systems, choose the objects to sync (such as AWS Aurora PostgreSQL's Columns and Primary keys and constraints), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for AWS Aurora PostgreSQL and Kommo: 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 AWS Aurora PostgreSQL, ready to drive jobs and notifications.
AWS Aurora PostgreSQL: SQL wire protocol (PostgreSQL-compatible), standard Postgres drivers and JDBC. Authentication: Database credentials, optionally AWS IAM database authentication, over TLS. Kommo: REST API. Authentication: OAuth 2.0 with refresh tokens. Stacksync manages authentication, retries, and rate limits on both sides.
Kommo: The API uses OAuth 2.0 with short-lived access tokens refreshed via refresh tokens, and supports webhooks on record lifecycle events. AWS Aurora PostgreSQL: Replication slots retain WAL for their consumers, so an interrupted CDC sync can resume without losing changes. Stacksync's field mapping accounts for these differences between AWS Aurora PostgreSQL and Kommo without custom code.
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 AWS Aurora PostgreSQL and Kommo records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed AWS Aurora PostgreSQL and Kommo connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom AWS Aurora PostgreSQL–Kommo integration in-house.
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 AWS Aurora PostgreSQL and Kommo.