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CRM ⇄ Database

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

Keep Chorusai and OpenSearch 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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Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Chorusai and OpenSearch

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

Stacksync mirrors Engagements, Recordings (Conversations), Users, Trackers from Chorusai into Data streams, Snapshots, Indexes, Documents in OpenSearch 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 Sync Trackers such as pricing, competitor, and next-steps mentions onto matching CRM Opportunities as coaching and deal-risk signals.
  • 02 Export Scorecards and their scores to a database to power rep-coaching and QA dashboards across sales teams.
  • 03 Index support tickets and activity logs from SaaS tools for operational dashboards.
  • 04 Backfill or rebuild indexes from a database after mapping changes without hand-written ETL.

Common sync patterns

Trigger workflows from CRM changes

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

Query the CRM like a database

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

Product events onto CRM records

Signup, usage, or lifecycle changes written to OpenSearch sync onto the matching records in Chorusai, giving go-to-market teams live product context.

What you can sync between Chorusai and OpenSearch

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 OpenSearch objects How this pairing syncs
Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. Data streams Append-oriented time-series storage for logs and events pushed from source systems Playlists is specific to Chorusai and Data streams to OpenSearch — 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. Snapshots Backup artifacts, relevant when reseeding an index from a repository Engagements is specific to Chorusai and Snapshots to OpenSearch — 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. Indexes The core container; synced records land in indexes with defined mappings Recordings (Conversations) is specific to Chorusai and Indexes to OpenSearch — each maps to any object or custom field on the other side.
Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. Documents JSON records written via the index and bulk APIs and read via search queries Users is specific to Chorusai and Documents to OpenSearch — each maps to any object or custom field on the other side.
Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. Index aliases Stable names over rotating indexes, used for zero-downtime reindex during backfills Trackers is specific to Chorusai and Index aliases to OpenSearch — each maps to any object or custom field on the other side.
Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. Index templates Mapping and settings presets applied to new indexes a sync creates Deals is specific to Chorusai and Index templates to OpenSearch — each maps to any object or custom field on the other side.

How changes propagate between Chorusai and OpenSearch

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 OpenSearch 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 written to OpenSearch through its API, with automatic retries and rate-limit backoff.

OpenSearch Chorusai Interval-based propagation

DetectionStacksync polls OpenSearch for changes on an incremental schedule, reading only records changed since the previous pass. No native change feed.

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.
  • OpenSearch: Throughput bounded by cluster sizing rather than fixed API quotas.
What ships with Chorusai ⇄ OpenSearch

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Chorusai or OpenSearch 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 OpenSearch record.

Observability

Monitoring

Track your Chorusai ⇄ OpenSearch 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 OpenSearch.

How the Chorusai and OpenSearch 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

OpenSearch

Integration surface
REST API over HTTP(S) with JSON payloads
Authentication
basic authentication with the security plugin, or AWS IAM request signing on Amazon OpenSearch Service
Change detection
no native change feed; reads rely on queries with scroll or point-in-time polling
Capabilities
read · write
Rate limits
throughput bounded by cluster sizing rather than fixed API quotas
How it works

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

    Choose tables

    Pick the Chorusai and OpenSearch 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 ⇄ OpenSearch
    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 OpenSearch
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Chorusai and OpenSearch 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
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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 445 integrations available for Chorusai and OpenSearch.

Popular · 5 of 445
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