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CRM ⇄ Data warehouse

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

Keep Chorusai and Tinybird 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 Tinybird

Sync Chorusai into Tinybird continuously and push warehouse results back onto CRM records, one two-way connection instead of two pipelines.

The CRM feeds the warehouse and the warehouse should feed the CRM: relationship data flows one way, and computed scores, segments, and customer context flow back. Most teams build the first half as a batch pipeline and never quite get to the second.

Stacksync does both with one connection. Scorecards, Moments, Playlists, Engagements from Chorusai land in Tinybird as live tables, updated within seconds, and columns computed in Tinybird write back to fields in Chorusai. There is no separate ETL and reverse-ETL stack to stitch together and no jobs to babysit.

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 Compute aggregates in Tinybird and write the results back to CRM fields for scoring and routing.
  • 04 Stream CRM activity such as deals and tickets into Tinybird Data Sources to power customer-facing dashboards.

Common sync patterns

Scores and segments back on the record

Lead scores, churn risk, or usage segments computed in Tinybird appear as fields in Chorusai, where the people working accounts actually see them.

A single customer view

Join Chorusai's relationship data with billing, product, and support data in Tinybird to build the customer picture the CRM alone cannot hold.

Cleanup that sticks

Deduplication and normalization done in Tinybird can be written back, so warehouse-side cleanup actually fixes the CRM.

What you can sync between Chorusai and Tinybird

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 Tinybird objects How this pairing syncs
Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. Data Sources ClickHouse-backed tables that receive ingested rows; the write target for syncs into Tinybird. Deals is specific to Chorusai and Data Sources to Tinybird — 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. Pipes Chained SQL nodes that transform Data Sources into query-ready results. Scorecards is specific to Chorusai and Pipes to Tinybird — 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. API Endpoints Published Pipe outputs exposed as parameterized HTTP queries; the main read surface. Moments is specific to Chorusai and API Endpoints to Tinybird — 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. Materialized Views Pipes materialized into new Data Sources for pre-aggregation at ingest time. Playlists is specific to Chorusai and Materialized Views to Tinybird — 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. Workspaces Project boundary that scopes Data Sources, Pipes, and tokens for a sync. Engagements is specific to Chorusai and Workspaces to Tinybird — 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. Tokens Scoped credentials that control read and append rights per resource. Recordings (Conversations) is specific to Chorusai and Tokens to Tinybird — each maps to any object or custom field on the other side.

How changes propagate between Chorusai and Tinybird

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 Tinybird 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 Tinybird as a row-level write, with types converted between the two schemas.

Tinybird Chorusai Interval-based propagation

DetectionStacksync polls Tinybird for changes on an incremental schedule, reading only records changed since the previous pass. Append-oriented ingestion.

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.
  • Tinybird: Subject to the platform's ingestion and query rate limits; batch appends where possible.
What ships with Chorusai ⇄ Tinybird

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Chorusai or Tinybird 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 Tinybird record.

Observability

Monitoring

Track your Chorusai ⇄ Tinybird 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 Tinybird.

How the Chorusai and Tinybird 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

Tinybird

Integration surface
REST API (Events API for ingestion, published query endpoints) with a ClickHouse SQL dialect
Authentication
Scoped auth tokens
Change detection
Append-oriented ingestion; reads are pulled by querying published endpoints, no outbound CDC
Capabilities
read · write
Rate limits
Subject to the platform's ingestion and query rate limits; batch appends where possible.
How it works

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

    Choose tables

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

Chorusai and Tinybird 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 452 integrations available for Chorusai and Tinybird.

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