Real-time
Two-way sync
Changes in Chorusai or MySQL instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Chorusai to MySQL integration — real-time, two-way sync
Keep Chorusai and MySQL 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 MySQL
Treat Chorusai like part of your database: its records live in MySQL 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 MySQL, where it can be queried and joined like everything else.
Stacksync mirrors Moments, Playlists, Engagements, Recordings (Conversations) from Chorusai into Primary and Unique Keys, JSON Columns, Stored Procedures, Triggers in MySQL 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 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 Expose SaaS objects as MySQL tables so legacy internal tools built on MySQL can read live business data
- 04 Replicate ERP master data (customers, items, pricing) into the MySQL databases behind storefronts and portals
Common sync patterns
Internal tools without API code
Back-office apps read and write the synced tables; Stacksync handles the Chorusai API, limits, and retries.
Trigger workflows from CRM changes
Field and stage updates in Chorusai arrive as row changes in MySQL, ready to drive jobs and notifications.
Query the CRM like a database
Accounts, contacts, and custom objects from Chorusai become tables in MySQL you can join with application data directly.
What you can sync between Chorusai and MySQL
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 | MySQL 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. | Tables The primary sync target; rows map to records in connected systems. | Trackers is specific to Chorusai and Tables to MySQL — 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. | Views Read-side projections used as outbound sync sources. | Deals is specific to Chorusai and Views to MySQL — 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 Field-level mapping targets with engine-typed values. | Scorecards is specific to Chorusai and Columns to MySQL — 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. | Primary and Unique Keys Match keys for idempotent upserts and conflict handling. | Moments is specific to Chorusai and Primary and Unique Keys to MySQL — 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. | JSON Columns Validated semi-structured payloads for nested SaaS data. | Playlists is specific to Chorusai and JSON Columns to MySQL — 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. | Stored Procedures Server-side logic that can post-process synced rows. | Engagements is specific to Chorusai and Stored Procedures to MySQL — each maps to any object or custom field on the other side. |
How changes propagate between Chorusai and MySQL
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 MySQL 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 MySQL as a row-level write, with types converted between the two schemas.
MySQL Chorusai Sub-second propagation
DetectionChanges in MySQL are captured at the source via change data capture — no polling loop against its API. Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when.
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.
- MySQL: No API rate limits; throughput is bounded by connection limits and server resources.
What ships with Chorusai ⇄ MySQL
Connect Chorusai and MySQL for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Chorusai–MySQL connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Chorusai or MySQL 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 MySQL record.
Observability
Monitoring
Track your Chorusai ⇄ MySQL 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 MySQL.
How the Chorusai and MySQL 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
MySQL
- Integration surface
- SQL wire protocol (MySQL client/server protocol)
- Authentication
- Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host)
- Change detection
- Database triggers — Stacksync creates deterministic triggers for internal logging and syncing (requires log_bin_trust_function_creators=ON when binary logging is enabled)
- Capabilities
- read · write · CDC
- Rate limits
- No API rate limits; throughput is bounded by connection limits and server resources
How it works
How to connect Chorusai to MySQL — 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 MySQL 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
MySQL
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Chorusai and MySQL 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 ⇄ MySQLCustomers 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 MySQLCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Chorusai and MySQL integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Chorusai and MySQL: 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. MySQL: SQL wire protocol (MySQL client/server protocol). Authentication: Database credentials entered as a connection string or parameters, with optional SSL root certificate upload and optional SSH tunnel (SSH user + SSH host). 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. MySQL: The binary log in ROW format records every row-level change, enabling log-based CDC without adding triggers to user tables. Stacksync's field mapping accounts for these differences between Chorusai and MySQL 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 MySQL 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 MySQL connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Chorusai–MySQL integration in-house.
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Yes — Stacksync ships production-grade connectors for both Chorusai and MySQL. 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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