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Data warehouse ⇄ CRM

Apache Doris to Chorusai integration — real-time, two-way sync

Keep Apache Doris 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.

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Why teams connect Apache Doris and Chorusai

Sync Chorusai into Apache Doris 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. Engagements, Recordings (Conversations), Users, Trackers from Chorusai land in Apache Doris as live tables, updated within seconds, and columns computed in Apache Doris 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 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 Land CRM and operational database records in Doris for low-latency dashboards over fresh data.
  • 04 Continuously upsert changing records into Unique Key tables so analytics reflect current state rather than append-only history.

Common sync patterns

CRM analytics on live data

Accounts, contacts, and activity from Chorusai are queryable in Apache Doris 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 Apache Doris 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 Apache Doris to build the customer picture the CRM alone cannot hold.

What you can sync between Apache Doris 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.

Apache Doris objects Chorusai objects How this pairing syncs
Databases Logical containers that scope connections and grants. Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. Databases is specific to Apache Doris and Moments to Chorusai — each maps to any object or custom field on the other side.
Tables Columnar tables in one of Doris's table models, used as sync destinations. Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. Tables is specific to Apache Doris and Playlists to Chorusai — each maps to any object or custom field on the other side.
Unique Key Tables Tables supporting primary-key upserts, the natural target for row-level syncs. Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. Unique Key Tables is specific to Apache Doris and Engagements to Chorusai — each maps to any object or custom field on the other side.
Aggregate Key Tables Tables that pre-aggregate on load, used for metric rollups. Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. Aggregate Key Tables is specific to Apache Doris and Recordings (Conversations) to Chorusai — each maps to any object or custom field on the other side.
Partitions Range or list partitions that bound incremental loads. Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. Partitions is specific to Apache Doris and Users to Chorusai — each maps to any object or custom field on the other side.
Materialized Views Precomputed views readable for downstream syncs and BI. Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. Materialized Views is specific to Apache Doris and Trackers to Chorusai — each maps to any object or custom field on the other side.

How changes propagate between Apache Doris 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.

Apache Doris Chorusai Interval-based propagation

DetectionStacksync polls Apache Doris for changes on an incremental schedule, reading only records changed since the previous pass. Polling on partition or timestamp columns for reads.

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

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

Rate-limit considerations

  • Apache Doris: No API quotas; load throughput depends on cluster resources and load-job configuration.
  • 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 Apache Doris ⇄ Chorusai

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Doris 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 Apache Doris or Chorusai record.

Observability

Monitoring

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

Trading partners

EDI

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

How the Apache Doris and Chorusai connectors work

Apache Doris

Integration surface
MySQL wire protocol for SQL access; HTTP APIs (such as Stream Load) for bulk ingestion
Authentication
Database credentials
Change detection
Polling on partition or timestamp columns for reads; ingestion into Doris is push-based via load jobs
Capabilities
read · write
Rate limits
No API quotas; load throughput depends on cluster resources and load-job configuration

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 Apache Doris 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 Apache Doris 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
    Apache Doris connected
    Chorusai connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Doris 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 · Apache Doris ⇄ 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
    Apache Doris Chorusai
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Doris 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.

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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 457 integrations available for Apache Doris and Chorusai.

Popular · 6 of 457
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