Two-way sync
Changes in Chorusai or Reltio instantly reflect in both systems. No stale data, no manual imports.
Keep Chorusai and Reltio in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.
Product and engineering teams constantly need CRM data, and the CRM API is a poor way to get it: rate limits, pagination, custom objects, and integration code that breaks when an admin renames a field. What they actually want is the data in Reltio, where it can be queried and joined like everything else.
Stacksync mirrors Playlists, Engagements, Recordings (Conversations), Users from Chorusai into Interactions, Matches (Potential Matches), Activity Log, Data Change Requests (DCR) in Reltio with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Chorusai with validation intact. Go-to-market teams keep working in the CRM, engineers keep working in the database, and neither has to think about the other.
Signup, usage, or lifecycle changes written to Reltio sync onto the matching records in Chorusai, giving go-to-market teams live product context.
Back-office apps read and write the synced tables; Stacksync handles the Chorusai API, limits, and retries.
Field and stage updates in Chorusai arrive as row changes in Reltio, ready to drive jobs and notifications.
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 | Reltio 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. | Relations Typed relationships between two entities (affiliations, hierarchies, employment, households); read and written via /relations to keep account hierarchies and affiliation graphs aligned across systems. | Users is specific to Chorusai and Relations to Reltio — 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. | Crosswalks Per-entity references to the source systems and their record IDs; written when loading records so Reltio ties each source contribution to a golden record, and read to trace lineage back to origin systems. | Trackers is specific to Chorusai and Crosswalks to Reltio — 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. | Interactions Transactional or event records linked to entities (purchases, visits, activities); read and written via /interactions to enrich profiles and power 360-degree reporting. | Deals is specific to Chorusai and Interactions to Reltio — 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. | Matches (Potential Matches) Candidate duplicate pairs produced by match rules; read to review, and resolved with merge, unmerge, or not-a-match actions to control survivorship. | Scorecards is specific to Chorusai and Matches (Potential Matches) to Reltio — 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. | Activity Log Immutable audit trail of changes to entities and relations via /activities; read-only, used for history, lineage, and compliance reporting. | Moments is specific to Chorusai and Activity Log to Reltio — 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. | Data Change Requests (DCR) Stewardship change proposals routed through approval workflows; read and written to feed or track governed edits to golden records. | Playlists is specific to Chorusai and Data Change Requests (DCR) to Reltio — 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 Reltio through its API, with automatic retries and rate-limit backoff.
DetectionStacksync polls Reltio for changes on an incremental schedule, reading only records changed since the previous pass. Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored.
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–Reltio connection.
Changes in Chorusai or Reltio instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Chorusai or Reltio 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 Reltio record.
Track your Chorusai ⇄ Reltio sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Chorusai and Reltio.
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 Reltio 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 Reltio 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 Reltio: authenticate both systems, choose the objects to sync (such as Chorusai's Users and Trackers), map fields visually, and changes propagate both ways in milliseconds — no code required.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Chorusai and Reltio connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Chorusai–Reltio integration in-house.
Yes — Stacksync ships production-grade connectors for both Chorusai and Reltio. 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 Reltio: Polling the REST API on updateTime (epoch-ms), for example filter=gt(updateTime,<timestamp>), for entities and relations changed past a stored watermark. Reltio has no CDC log external tools consume; separately, Reltio's event streaming can publish entity change events (created, changed, removed) to a customer-configured message queue (Amazon SQS/SNS, Google Pub/Sub, Azure Service Bus, or Kafka), which is a queue feed rather than HTTP webhooks. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
On the Chorusai side: Playlists, Engagements, Recordings (Conversations), Users, plus custom fields where Chorusai exposes them. On the Reltio side: Interactions, Matches (Potential Matches), Activity Log, Data Change Requests (DCR). 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.
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 452 integrations available for Chorusai and Reltio.