Real-time
Two-way sync
Changes in Drift or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Drift to PostgreSQL integration — real-time, two-way sync
Keep Drift and PostgreSQL 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
Case study
Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Drift and PostgreSQL
Treat Drift like part of your database: its records live in PostgreSQL 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 PostgreSQL, where it can be queried and joined like everything else.
Stacksync mirrors Playbooks, Meetings, Contacts, Conversations from Drift into Custom Types and Enums, Tables, Views, Materialized Views in PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Drift 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
- Archive historical Drift conversation and contact data into a warehouse ahead of a platform migration.
- Sync Drift-captured contacts into the CRM so chat-sourced leads enter standard sales workflows immediately.
- Feed reporting and BI from a continuously synced Postgres replica instead of scheduled ETL scripts
- Expose SaaS objects (CRM contacts, ERP invoices, support tickets) as Postgres tables that internal tools can query and join
Trigger workflows from CRM changes
Field and stage updates in Drift arrive as row changes in PostgreSQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Drift become tables in PostgreSQL you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to PostgreSQL sync onto the matching records in Drift, giving go-to-market teams live product context.
What you can sync between Drift and PostgreSQL
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.
| Drift objects | PostgreSQL objects | |
|---|---|---|
| Users Agents and sales reps who own conversations and meetings. | Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. | |
| Playbooks Bot flows that generate conversations and qualify visitors. | Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. | |
| Meetings Meetings booked through Drift, synced to CRM as sales activities. | Views Read-side projections used to expose joined or filtered data to a sync. | |
| Contacts Visitor and lead records created or matched from chat identities; the main CRM-sync object. | Materialized Views Precomputed result sets synced outward on a refresh schedule. | |
| Conversations Chat threads with status and participants; the center of Drift's data model. | Schemas Namespaces that scope which tables a sync reads and writes. | |
| Messages Individual messages within a conversation, used for transcript and intent analysis. | Columns Field-level mapping targets; types are mapped to the connected system's field types. |
What ships with Drift ⇄ PostgreSQL
Connect Drift and PostgreSQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Drift–PostgreSQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Drift or PostgreSQL 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 Drift or PostgreSQL record.
Observability
Monitoring
Track your Drift ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Drift and PostgreSQL.
How the Drift and PostgreSQL connectors work
Drift
- Integration surface
- REST API
- Authentication
- OAuth 2.0 via apps registered on the Drift developer platform
- Change detection
- Webhook events for new conversations, messages, and contact changes; polling for backfills
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to the platform's API rate limits
PostgreSQL
- Integration surface
- SQL wire protocol (PostgreSQL frontend/backend protocol)
- Authentication
- Database credentials (connection string or parameters), with optional SSL root certificate upload and optional SSH tunnel (SSH user + host); a least-privilege DB user
- Change detection
- Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput
How it works
How to connect Drift to PostgreSQL — 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 Drift and PostgreSQL with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Drift
connected
PostgreSQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Drift and PostgreSQL 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 · Drift ⇄ PostgreSQLCustomers 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.
Drift PostgreSQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Drift and PostgreSQL integration FAQ
-
Yes. Stacksync provides a managed, real-time two-way integration between Drift and PostgreSQL: authenticate both systems, choose the objects to sync (such as Drift's Users and Playbooks), map fields visually, and changes propagate both ways in milliseconds — no code required.
-
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 Drift and PostgreSQL records are not retained after a sync operation.
-
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Drift and PostgreSQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Drift–PostgreSQL integration in-house.
-
Yes — Stacksync ships production-grade connectors for both Drift and PostgreSQL. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
-
Change detection on Drift: Webhook events for new conversations, messages, and contact changes; polling for backfills. On PostgreSQL: Logical replication (wal_level = logical) for change data capture via the "Postgres" connector; database triggers (TRIGGER grant + stacksync_logging schema) via the trigger-based "Postgres Heroku" connector where. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
-
On the Drift side: Playbooks, Meetings, Contacts, Conversations, plus custom fields where Drift exposes them. On the PostgreSQL side: Custom Types and Enums, Tables, Views, Materialized Views. Stacksync auto-detects both schemas and converts types between the two systems.
SECURITY
Security teams love 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 386 integrations available for Drift and PostgreSQL.
Popular · 8 of 386
-
Drift ⇄ Azure Cosmos DB -
Drift ⇄ Azure SQL Database -
Drift ⇄ Citus -
Drift ⇄ Couchbase -
PostgreSQL ⇄ HubSpot -
PostgreSQL ⇄ Microsoft Dynamics 365 Sales -
PostgreSQL ⇄ Attio -
PostgreSQL ⇄ Pipedrive
No integrations match .
