Real-time
Two-way sync
Changes in Chorusai or Materialize instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Data warehouse
Chorusai to Materialize integration — real-time, two-way sync
Keep Chorusai and Materialize 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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Migrated from Celigo
Why teams connect Chorusai and Materialize
Sync Chorusai into Materialize 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. Playlists, Engagements, Recordings (Conversations), Users from Chorusai land in Materialize as live tables, updated within seconds, and columns computed in Materialize 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 Upload externally recorded dialer or web-conference audio into Chorus as Recordings so it gets transcribed and analyzed like native calls.
- 02 Sync Trackers such as pricing, competitor, and next-steps mentions onto matching CRM Opportunities as coaching and deal-risk signals.
- 03 Drive alerting and operational tooling from SUBSCRIBE change streams instead of scheduled queries.
- 04 Maintain real-time inventory, usage, or account-health counters consumed by customer-facing applications.
Common sync patterns
A single customer view
Join Chorusai's relationship data with billing, product, and support data in Materialize to build the customer picture the CRM alone cannot hold.
Cleanup that sticks
Deduplication and normalization done in Materialize 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 Materialize moments after they change, so dashboards stop lagging the reality they describe.
What you can sync between Chorusai and Materialize
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 | Materialize objects | How this pairing syncs | |
|---|---|---|---|
| Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. | Clusters Compute pools that isolate ingestion, view maintenance, and serving. | Trackers is specific to Chorusai and Clusters to Materialize — 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. | Connections & Secrets Stored credentials and endpoints used by sources and sinks. | Deals is specific to Chorusai and Connections & Secrets to Materialize — 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. | Schemas & Databases Namespaces that organize objects a sync targets. | Scorecards is specific to Chorusai and Schemas & Databases to Materialize — 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. | Tables User-managed tables that accept INSERT/UPDATE/DELETE from sync pipelines. | Moments is specific to Chorusai and Tables to Materialize — 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. | Sources Ingestion points (Kafka, Postgres CDC, MySQL CDC, webhook) that feed external data into Materialize. | Playlists is specific to Chorusai and Sources to Materialize — 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 Incrementally maintained query results that syncs read as continuously up-to-date datasets. | Engagements is specific to Chorusai and Materialized Views to Materialize — each maps to any object or custom field on the other side. |
How changes propagate between Chorusai and Materialize
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 Materialize 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 Materialize as a row-level write, with types converted between the two schemas.
Materialize Chorusai Sub-second propagation
DetectionChanges in Materialize are captured at the source via change data capture — no polling loop against its API. SUBSCRIBE queries stream row-level changes of any view or table to the client.
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 ⇄ Materialize
Connect Chorusai and Materialize for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–Materialize connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Chorusai or Materialize 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 Materialize record.
Observability
Monitoring
Track your Chorusai ⇄ Materialize 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 Materialize.
How the Chorusai and Materialize 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
Materialize
- Integration surface
- PostgreSQL wire protocol (SQL)
- Authentication
- Database credentials (username/password; app passwords in the managed cloud service)
- Change detection
- SUBSCRIBE queries stream row-level changes of any view or table to the client
- Capabilities
- read · write · CDC
How it works
How to connect Chorusai to Materialize — 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 Materialize 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
Materialize
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Chorusai and Materialize 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 ⇄ MaterializeCustomers 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 MaterializeCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Chorusai and Materialize integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Chorusai and Materialize: authenticate both systems, choose the objects to sync (such as Chorusai's Trackers and Deals), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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Common patterns for Chorusai and Materialize: A single customer view; Cleanup that sticks; CRM analytics on live data. Join Chorusai's relationship data with billing, product, and support data in Materialize to build the customer picture the CRM alone cannot hold.
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Chorusai: REST API (api-docs.chorus.ai). Authentication: Per-user API token generated in Chorus Personal Settings, sent in the Authorization request header. Materialize: PostgreSQL wire protocol (SQL). Authentication: Database credentials (username/password; app passwords in the managed cloud service). Stacksync manages authentication, retries, and rate limits on both sides.
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Chorusai: Engagement transcripts, utterances, and trackers are only available after asynchronous processing completes, so a just-ended call may return without analysis for several minutes. Materialize: Views are maintained incrementally as data arrives rather than recomputed at query time, which is what makes reads consistently fresh. Stacksync's field mapping accounts for these differences between Chorusai and Materialize 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 Materialize records are not retained after a sync operation.
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:
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