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CRM ⇄ Database

Chorusai to PostgreSQL integration — real-time, two-way sync

Keep Chorusai 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.

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Why teams connect Chorusai and PostgreSQL

Treat Chorusai 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 Deals, Scorecards, Moments, Playlists from Chorusai into Schemas, Columns, Primary and Unique Keys, JSONB Columns in PostgreSQL with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Chorusai 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 Read the Deals associated with each conversation to attribute call activity to open opportunities in a BI model.
  • 02 Upload externally recorded dialer or web-conference audio into Chorus as Recordings so it gets transcribed and analyzed like native calls.
  • 03 Let an application write to its own database and have those rows appear as records in business systems in near real time
  • 04 Consolidate data from several microservice databases into one operational Postgres store

Common sync patterns

Query the CRM like a database

Accounts, contacts, and custom objects from Chorusai 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 Chorusai, 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 Chorusai API, limits, and retries.

What you can sync between Chorusai 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.

Chorusai objects PostgreSQL objects How this pairing syncs
Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. JSONB Columns Hold semi-structured payloads such as nested SaaS objects or metadata. Deals is specific to Chorusai and JSONB Columns to PostgreSQL — each maps to any object or custom field on the other side.
Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. Sequences Generate surrogate keys for rows created by inbound syncs. Scorecards is specific to Chorusai and Sequences to PostgreSQL — each maps to any object or custom field on the other side.
Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. Custom Types and Enums Constrain synced values to a fixed set, mirroring picklist fields. Moments is specific to Chorusai and Custom Types and Enums to PostgreSQL — each maps to any object or custom field on the other side.
Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. Tables The primary sync target; rows map one-to-one to records in connected SaaS systems. Playlists is specific to Chorusai and Tables to PostgreSQL — each maps to any object or custom field on the other side.
Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. Views Read-side projections used to expose joined or filtered data to a sync. Engagements is specific to Chorusai and Views to PostgreSQL — each maps to any object or custom field on the other side.
Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. Materialized Views Precomputed result sets synced outward on a refresh schedule. Recordings (Conversations) is specific to Chorusai and Materialized Views to PostgreSQL — each maps to any object or custom field on the other side.

How changes propagate between Chorusai and PostgreSQL

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.

Chorusai PostgreSQL Interval-based propagation

DetectionStacksync polls Chorusai for changes on an incremental schedule, reading only records changed since the previous pass. Polling the engagements endpoint on date_time and processing_state.

DeliveryEach detected change is applied to PostgreSQL as a row-level write, with types converted between the two schemas.

PostgreSQL Chorusai Sub-second propagation

DetectionChanges in PostgreSQL are captured at the source via change data capture — no polling loop against its API. Logical replication (wal_level = logical) for change data capture via the "Postgres" connector.

DeliveryEach detected change is written to Chorusai through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Chorusai: Rate limits are not publicly documented; recording upload and analysis are asynchronous, so transcripts and trackers appear only after processing_state completes.
  • PostgreSQL: No API rate limits; throughput is bounded by connection limits, instance resources, and replication slot throughput.
What ships with Chorusai ⇄ PostgreSQL

Connect Chorusai and PostgreSQL for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–PostgreSQL connection.

Real-time

Two-way sync

Changes in Chorusai or PostgreSQL instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Chorusai 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 Chorusai or PostgreSQL record.

Observability

Monitoring

Track your Chorusai ⇄ PostgreSQL sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Chorusai and PostgreSQL.

How the Chorusai and PostgreSQL connectors work

Chorusai

Integration surface
REST API (api-docs.chorus.ai)
Authentication
Per-user API token generated in Chorus Personal Settings, sent in the Authorization request header
Change detection
Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC
Capabilities
read · write
Rate limits
Rate limits are not publicly documented; recording upload and analysis are asynchronous, so transcripts and trackers appear only after processing_state completes
Chorusai setup guide

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
PostgreSQL setup guide
How it works

How to connect Chorusai 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.

  1. 01

    Connect your apps

    Authenticate Chorusai 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Chorusai connected
    PostgreSQL connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Chorusai 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Chorusai ⇄ PostgreSQL
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Chorusai PostgreSQL
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Chorusai and PostgreSQL integration FAQ

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.

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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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 566 integrations available for Chorusai and PostgreSQL.

Popular · 8 of 566
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