Real-time
Two-way sync
Changes in Chorusai or Neo4j instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Chorusai to Neo4j integration — real-time, two-way sync
Keep Chorusai and Neo4j 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 Neo4j
Treat Chorusai like part of your database: its records live in Neo4j as real tables, and writes in either place sync to the other in seconds.
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 Neo4j, where it can be queried and joined like everything else.
Stacksync mirrors Engagements, Recordings (Conversations), Users, Trackers from Chorusai into Users & Roles, Nodes, Relationships, Properties in Neo4j 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.
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 Keep a customer-360 graph continuously updated from ERP, CRM, and support sources.
- 04 Mirror CRM accounts and contacts into a graph to model buying-group and referral relationships.
Common sync patterns
Trigger workflows from CRM changes
Field and stage updates in Chorusai arrive as row changes in Neo4j, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Chorusai become tables in Neo4j you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Neo4j sync onto the matching records in Chorusai, giving go-to-market teams live product context.
What you can sync between Chorusai and Neo4j
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 | Neo4j 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. | Nodes Entity records (customers, products, accounts) written from source systems as labeled nodes. | Trackers is specific to Chorusai and Nodes to Neo4j — 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. | Relationships Typed, directed edges that carry the connections syncs exist to model. | Deals is specific to Chorusai and Relationships to Neo4j — 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. | Properties Key-value attributes on both nodes and relationships, mapped from source fields. | Scorecards is specific to Chorusai and Properties to Neo4j — 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. | Labels Node type markers used to map source tables or objects onto the graph. | Moments is specific to Chorusai and Labels to Neo4j — 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. | Indexes & Constraints Uniqueness constraints and indexes that make MERGE-based upserts reliable and fast. | Playlists is specific to Chorusai and Indexes & Constraints to Neo4j — 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. | Databases Named databases in a single instance that scope multi-tenant or multi-domain syncs. | Engagements is specific to Chorusai and Databases to Neo4j — each maps to any object or custom field on the other side. |
How changes propagate between Chorusai and Neo4j
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 Neo4j 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 written to Neo4j through its API, with automatic retries and rate-limit backoff.
Neo4j Chorusai Sub-second propagation
DetectionChanges in Neo4j are captured at the source via change data capture — no polling loop against its API. Neo4j Change Data Capture on Enterprise and Aura streams graph changes.
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 ⇄ Neo4j
Connect Chorusai and Neo4j for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–Neo4j connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Chorusai or Neo4j 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 Neo4j record.
Observability
Monitoring
Track your Chorusai ⇄ Neo4j 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 Neo4j.
How the Chorusai and Neo4j 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
Neo4j
- Integration surface
- Bolt binary protocol with Cypher via official drivers, plus an HTTP query API
- Authentication
- Username/password (basic auth); enterprise deployments add SSO options
- Change detection
- Neo4j Change Data Capture on Enterprise and Aura streams graph changes; otherwise Cypher polling on timestamp properties
- Capabilities
- read · write · CDC
How it works
How to connect Chorusai to Neo4j — 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 Neo4j 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
Neo4j
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Chorusai and Neo4j 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 ⇄ Neo4jCustomers 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 Neo4jCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Chorusai and Neo4j integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Chorusai and Neo4j: 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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Chorusai: REST API (api-docs.chorus.ai). Authentication: Per-user API token generated in Chorus Personal Settings, sent in the Authorization request header. Neo4j: Bolt binary protocol with Cypher via official drivers, plus an HTTP query API. Authentication: Username/password (basic auth); enterprise deployments add SSO options. Stacksync manages authentication, retries, and rate limits on both sides.
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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. Neo4j: Client drivers connect over the Bolt binary protocol rather than HTTP for query workloads. Stacksync's field mapping accounts for these differences between Chorusai and Neo4j 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 Neo4j 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 Neo4j connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Chorusai–Neo4j integration in-house.
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Yes — Stacksync ships production-grade connectors for both Chorusai and Neo4j. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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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Chorusai ⇄ AWS Aurora MySQL - Chorusai ⇄ AWS Aurora PostgreSQL
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Neo4j ⇄ Xactly -
Neo4j ⇄ Gong -
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Neo4j ⇄ Salesforce
No integrations match .
