Skip to content
Database ⇄ CRM

Amazon Aurora to Chorusai integration — real-time, two-way sync

Keep Amazon Aurora and Chorusai 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 Amazon Aurora and Chorusai

Treat Chorusai like part of your database: its records live in Amazon Aurora 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 Amazon Aurora, where it can be queried and joined like everything else.

Stacksync mirrors Scorecards, Moments, Playlists, Engagements from Chorusai into Columns and Data Types, Primary and Foreign Keys, Read Replicas, Databases in Amazon Aurora 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 Offload sync reads to Aurora reader endpoints to avoid load on the writer instance.
  • 04 Two-way sync between Aurora application tables and a CRM so product data and account data stay consistent.

Common sync patterns

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Chorusai API, limits, and retries.

Trigger workflows from CRM changes

Field and stage updates in Chorusai arrive as row changes in Amazon Aurora, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Chorusai become tables in Amazon Aurora you can join with application data directly.

What you can sync between Amazon Aurora and Chorusai

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.

Amazon Aurora objects Chorusai objects How this pairing syncs
Read Replicas Reader endpoints that syncs can target to keep load off the writer. Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. Read Replicas is specific to Amazon Aurora and Trackers to Chorusai — each maps to any object or custom field on the other side.
Databases Logical databases within a cluster that scope a sync connection. Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. Databases is specific to Amazon Aurora and Deals to Chorusai — each maps to any object or custom field on the other side.
Schemas Namespaces (PostgreSQL) or database-level grouping (MySQL) used in table selection. Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. Schemas is specific to Amazon Aurora and Scorecards to Chorusai — each maps to any object or custom field on the other side.
Tables Relational tables synced bi-directionally at row level. Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. Tables is specific to Amazon Aurora and Moments to Chorusai — each maps to any object or custom field on the other side.
Views Read-only query-backed sources for downstream syncs. Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. Views is specific to Amazon Aurora and Playlists to Chorusai — each maps to any object or custom field on the other side.
Materialized Views Precomputed result sets (PostgreSQL-compatible clusters) readable as sources. Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. Materialized Views is specific to Amazon Aurora and Engagements to Chorusai — each maps to any object or custom field on the other side.

How changes propagate between Amazon Aurora and Chorusai

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.

Amazon Aurora Chorusai Sub-second propagation

DetectionChanges in Amazon Aurora are captured at the source via change data capture — no polling loop against its API. Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters.

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

Chorusai Amazon Aurora 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 Amazon Aurora as a row-level write, with types converted between the two schemas.

Rate-limit considerations

  • Amazon Aurora: No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits.
  • Chorusai: Rate limits are not publicly documented; recording upload and analysis are asynchronous, so transcripts and trackers appear only after processing_state completes.
What ships with Amazon Aurora ⇄ Chorusai

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Amazon Aurora or Chorusai 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 Amazon Aurora or Chorusai record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Amazon Aurora and Chorusai connectors work

Amazon Aurora

Integration surface
MySQL or PostgreSQL wire protocol (SQL); optional RDS Data API over HTTPS
Authentication
Database credentials or IAM database authentication
Change detection
Log-based CDC: binlog on MySQL-compatible clusters, logical replication/decoding on PostgreSQL-compatible clusters; polling as a fallback
Capabilities
read · write · CDC
Rate limits
No API rate limits for wire-protocol access; throughput is bounded by instance class and connection limits

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
How it works

How to connect Amazon Aurora to Chorusai — 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 Amazon Aurora and Chorusai 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
    Amazon Aurora connected
    Chorusai connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Amazon Aurora and Chorusai 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 · Amazon Aurora ⇄ Chorusai
    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
    Amazon Aurora Chorusai
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
Try interactive demo
FAQ

Amazon Aurora and Chorusai 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.

Learn more about security
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:

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 455 integrations available for Amazon Aurora and Chorusai.

Popular · 6 of 455
All Amazon Aurora integrations All Chorusai integrations Browse all integrations
Coworkers laughing in front of a laptop in a casual office setting

Your last integration took months.
Your next one takes a prompt.

Book a demo Tour the platform on your own