Real-time
Two-way sync
Changes in Chorusai or StarRocks instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Data warehouse
Chorusai to StarRocks integration — real-time, two-way sync
Keep Chorusai and StarRocks 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 StarRocks
Sync Chorusai into StarRocks 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. Deals, Scorecards, Moments, Playlists from Chorusai land in StarRocks as live tables, updated within seconds, and columns computed in StarRocks 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 Consolidate several sources into StarRocks as the query layer while Stacksync handles movement
- 04 Land CRM and ERP records into StarRocks to serve low-latency operational dashboards
Common sync patterns
CRM analytics on live data
Accounts, contacts, and activity from Chorusai are queryable in StarRocks 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 StarRocks 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 StarRocks to build the customer picture the CRM alone cannot hold.
What you can sync between Chorusai and StarRocks
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 | StarRocks objects | How this pairing syncs | |
|---|---|---|---|
| Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Partitions Time or range partitions that scope loads and retention. | Deals is specific to Chorusai and Partitions to StarRocks — 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. | Columns Columnar storage with types mapped from source systems during sync. | Scorecards is specific to Chorusai and Columns to StarRocks — 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. | Databases Top-level namespaces addressed exactly as in MySQL clients. | Moments is specific to Chorusai and Databases to StarRocks — 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. | Tables Defined with a table model (Primary Key, Unique Key, Aggregate, Duplicate Key) that determines update behavior. | Playlists is specific to Chorusai and Tables to StarRocks — 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. | Materialized views Automatically maintained rollups used to accelerate queries on synced data. | Engagements is specific to Chorusai and Materialized views to StarRocks — 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. | Views Logical views for shaping analytical reads. | Recordings (Conversations) is specific to Chorusai and Views to StarRocks — each maps to any object or custom field on the other side. |
How changes propagate between Chorusai and StarRocks
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 StarRocks 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 StarRocks as a row-level write, with types converted between the two schemas.
StarRocks Chorusai Interval-based propagation
DetectionStacksync polls StarRocks for changes on an incremental schedule, reading only records changed since the previous pass. Query-based polling when reading.
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.
- StarRocks: Ingestion throughput is bounded by cluster resources rather than API quotas.
What ships with Chorusai ⇄ StarRocks
Connect Chorusai and StarRocks for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–StarRocks connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Chorusai or StarRocks 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 StarRocks record.
Observability
Monitoring
Track your Chorusai ⇄ StarRocks 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 StarRocks.
How the Chorusai and StarRocks 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
StarRocks
- Integration surface
- MySQL wire protocol for SQL; HTTP-based Stream Load API for ingestion
- Authentication
- Database credentials (MySQL-compatible username/password)
- Change detection
- Query-based polling when reading; StarRocks is most often the destination side of a sync
- Capabilities
- read · write
- Rate limits
- Ingestion throughput is bounded by cluster resources rather than API quotas
How it works
How to connect Chorusai to StarRocks — 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.
- 01
Connect your apps
Authenticate Chorusai and StarRocks with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Chorusai
connected
StarRocks
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Chorusai and StarRocks 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.
objects · Chorusai ⇄ StarRocksCustomers 12,480Sales Orders 8,213Invoices 5,902Items 1,344 - 03
Map fields
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Chorusai StarRocksCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Chorusai and StarRocks integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Chorusai and StarRocks: authenticate both systems, choose the objects to sync (such as Chorusai's Deals and Scorecards), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Chorusai: Writes into Chorus are scoped to conversation operations — uploading and deleting Recordings, deleting Engagements, scheduling Video Conferences for recording, and creating Moments and Playlists — plus Sales-Qualification write-back of fields to the connected CRM; Chorus is a system of engagement for calls, not a general write target for arbitrary business records. StarRocks: Stream Load ingests data over HTTP in batches, giving pipelines a load path separate from SQL INSERT. Stacksync's field mapping accounts for these differences between Chorusai and StarRocks without custom code.
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Stacksync is SOC 2 Type II and ISO 27001 certified with HIPAA BAA support. Data is encrypted in transit, and a zero-persistent-storage architecture means Chorusai and StarRocks records are not retained after a sync operation.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Chorusai and StarRocks connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Chorusai–StarRocks integration in-house.
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Yes — Stacksync ships production-grade connectors for both Chorusai and StarRocks. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Chorusai: Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC. On StarRocks: Query-based polling when reading; StarRocks is most often the destination side of a sync. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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.
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:
Related integrations
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