Two-way sync
Changes in Chorusai or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Keep Chorusai and DealCloud in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Two CRMs in one company is more common than anyone plans for: an acquisition brings its own system, regions or business units standardize differently, or a migration is under way and both are live. In every case, some of the same companies and people exist in both systems, and every day of manual double entry pushes the copies further apart.
Stacksync syncs Scorecards, Moments, Playlists, Engagements in Chorusai with Investment, Relationship, Activity, Task in DealCloud in real time and in both directions, with field-level mapping and matching on identifiers you choose. Update a record in either CRM and the other reflects it within seconds.
When one CRM is replacing the other, run both fully live until cutover, with no snapshot gap and no data freeze.
Where each CRM serves a different team or region, sync just the shared accounts and contacts so handoffs and cross-sell work.
Deal stage and value on shared accounts stay visible from either CRM.
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 | DealCloud objects | How this pairing syncs | |
|---|---|---|---|
| Users Chorus users with roles and team membership; read to map engagement owners and participants to CRM and warehouse identities. | User Synced with incremental and full sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Deal Synced with incremental and full sync. | Same entity on both sides — records pair one-to-one and field-level changes reconcile in both directions. | |
| Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. | Company Synced with incremental and full sync. | Moments is specific to Chorusai and Company to DealCloud — 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. | Contact Synced with incremental and full sync. | Playlists is specific to Chorusai and Contact to DealCloud — 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. | Fund Synced with incremental and full sync. | Engagements is specific to Chorusai and Fund to DealCloud — 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. | Investment Synced with incremental and full sync. | Recordings (Conversations) is specific to Chorusai and Investment to DealCloud — each maps to any object or custom field on the other side. |
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.
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 written to DealCloud through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls DealCloud for changes on an incremental schedule, reading only records changed since the previous pass. Incremental via each entry's last-modified timestamp.
DeliveryEach detected change is written to Chorusai through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–DealCloud connection.
Changes in Chorusai or DealCloud instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Chorusai or DealCloud data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Chorusai or DealCloud record.
Track your Chorusai ⇄ DealCloud sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Chorusai and DealCloud.
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.
Authenticate Chorusai and DealCloud with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Pick the Chorusai and DealCloud 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Chorusai and DealCloud: authenticate both systems, choose the objects to sync (such as Chorusai's Users and Deals), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Chorusai and DealCloud. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Chorusai: Polling the engagements endpoint on date_time and processing_state; no public change webhooks or CDC. On DealCloud: Incremental via each entry's last-modified timestamp; DealCloud has no universal native change-data-capture, so Stacksync polls modified rows on an interval. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Chorusai side: Scorecards, Moments, Playlists, Engagements, plus custom fields where Chorusai exposes them. On the DealCloud side: Investment, Relationship, Activity, Task. Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Chorusai and DealCloud: Migration with a parallel run; Divisional or regional split; Where both track pipeline: deal visibility across systems. When one CRM is replacing the other, run both fully live until cutover, with no snapshot gap and no data freeze.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 443 integrations available for Chorusai and DealCloud.