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CRM ⇄ Data warehouse

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

Keep Chorusai and ClickHouse 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 ClickHouse

Sync Chorusai into ClickHouse 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. Users, Trackers, Deals, Scorecards from Chorusai land in ClickHouse as live tables, updated within seconds, and columns computed in ClickHouse 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 Export Scorecards and their scores to a database to power rep-coaching and QA dashboards across sales teams.
  • 02 Read the Deals associated with each conversation to attribute call activity to open opportunities in a BI model.
  • 03 Consolidate logs and business records from multiple sources into MergeTree tables for retention and reporting.
  • 04 Land product event data alongside synced CRM accounts so analysts join usage and revenue in one place.

Common sync patterns

Cleanup that sticks

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

CRM analytics on live data

Accounts, contacts, and activity from Chorusai are queryable in ClickHouse moments after they change, so dashboards stop lagging the reality they describe.

Scores and segments back on the record

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

What you can sync between Chorusai and ClickHouse

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 ClickHouse objects How this pairing syncs
Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. Tables (MergeTree family) Columnar, append-optimized tables that serve as the destination for high-volume sync loads. Recordings (Conversations) is specific to Chorusai and Tables (MergeTree family) to ClickHouse — 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. Databases Namespaces that group tables and scope permissions for sync users. Users is specific to Chorusai and Databases to ClickHouse — 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. Views Saved queries used as curated, read-only sync sources. Trackers is specific to Chorusai and Views to ClickHouse — 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. Materialized views Insert-time transformations that reshape incoming synced rows into aggregates. Deals is specific to Chorusai and Materialized views to ClickHouse — 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. Distributed tables Query-routing tables over cluster shards in self-managed deployments. Scorecards is specific to Chorusai and Distributed tables to ClickHouse — 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. Dictionaries In-memory lookup structures refreshed from external sources, sometimes fed by syncs. Moments is specific to Chorusai and Dictionaries to ClickHouse — each maps to any object or custom field on the other side.

How changes propagate between Chorusai and ClickHouse

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

ClickHouse Chorusai Interval-based propagation

DetectionStacksync polls ClickHouse for changes on an incremental schedule, reading only records changed since the previous pass. No log-based CDC for consumers.

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.
What ships with Chorusai ⇄ ClickHouse

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Chorusai or ClickHouse 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 ClickHouse record.

Observability

Monitoring

Track your Chorusai ⇄ ClickHouse 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 ClickHouse.

How the Chorusai and ClickHouse 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

ClickHouse

Integration surface
Native TCP protocol and HTTP interface; standard SQL dialect, with MySQL and PostgreSQL wire compatibility available
Authentication
Database credentials (username/password); ClickHouse Cloud issues per-service credentials over TLS
Change detection
No log-based CDC for consumers; incremental reads use polling on monotonic columns, and ClickHouse is usually the destination rather than the source
Capabilities
read · write
How it works

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

    Choose tables

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

Chorusai and ClickHouse 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
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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 561 integrations available for Chorusai and ClickHouse.

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