Two-way sync
Changes in Azure SQL Database or Chorusai instantly reflect in both systems. No stale data, no manual imports.
Keep Azure SQL Database and Chorusai 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 Azure SQL Database, where it can be queried and joined like everything else.
Stacksync mirrors Moments, Playlists, Engagements, Recordings (Conversations) from Chorusai into Stored procedures, Change tracking / CDC tables, Tables, Views in Azure SQL Database 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 Azure SQL Database 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 Azure SQL Database, 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.
| Azure SQL Database objects | Chorusai objects | How this pairing syncs | |
|---|---|---|---|
| Schemas Namespaces that organize tables and control which objects a sync user can reach. | Trackers AI keyword and topic trackers (pricing, competitors, next steps) surfaced within a conversation; read out as coaching and deal-risk signals. | Schemas is specific to Azure SQL Database and Trackers to Chorusai — each maps to any object or custom field on the other side. | |
| Rows and columns Standard relational records with typed columns; primary keys anchor upserts. | Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. | Rows and columns is specific to Azure SQL Database and Deals to Chorusai — each maps to any object or custom field on the other side. | |
| Stored procedures Existing business logic that some teams invoke on write instead of direct table inserts. | Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. | Stored procedures is specific to Azure SQL Database and Scorecards to Chorusai — each maps to any object or custom field on the other side. | |
| Change tracking / CDC tables System-maintained change records used to drive incremental sync. | Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. | Change tracking / CDC tables is specific to Azure SQL Database and Moments to Chorusai — each maps to any object or custom field on the other side. | |
| Tables The primary sync target; rows map one-to-one to records in the paired system. | Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. | Tables is specific to Azure SQL Database and Playlists to Chorusai — each maps to any object or custom field on the other side. | |
| Views Read-only projections used when the sync should expose a curated shape rather than raw tables. | Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. | Views is specific to Azure SQL Database and Engagements to Chorusai — 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.
DetectionChanges in Azure SQL Database are captured at the source via change data capture — no polling loop against its API. Change data capture or change tracking, both supported on Azure SQL Database.
DeliveryEach detected change is written to Chorusai through its API, with automatic retries and rate-limit backoff.
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 Azure SQL Database as a row-level write, with types converted between the two schemas.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Azure SQL Database–Chorusai connection.
Changes in Azure SQL Database or Chorusai instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Azure SQL Database or Chorusai data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Azure SQL Database or Chorusai record.
Track your Azure SQL Database ⇄ Chorusai sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Azure SQL Database and Chorusai.
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 Azure SQL Database and Chorusai 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 Azure SQL Database and Chorusai 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 Azure SQL Database and Chorusai: authenticate both systems, choose the objects to sync (such as Azure SQL Database's Schemas and Rows and columns), map fields visually, and changes propagate both ways in milliseconds — no code required.
Common patterns for Azure SQL Database and Chorusai: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Azure SQL Database sync onto the matching records in Chorusai, giving go-to-market teams live product context.
Azure SQL Database: SQL wire protocol (TDS), the same protocol as SQL Server; T-SQL over standard drivers. Authentication: SQL authentication (database credentials) or Microsoft Entra ID authentication. Chorusai: REST API (api-docs.chorus.ai). Authentication: Per-user API token generated in Chorus Personal Settings, sent in the Authorization request header. Stacksync manages authentication, retries, and rate limits on both sides.
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. Azure SQL Database: Both change tracking (net changes per row) and change data capture (full change history from the transaction log) are available, giving two native options for incremental sync. Stacksync's field mapping accounts for these differences between Azure SQL Database and Chorusai without custom code.
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 Azure SQL Database and Chorusai records are not retained after a sync operation.
Stacksync pricing is usage-based and starts at $1,000/month, including the managed Azure SQL Database and Chorusai connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Azure SQL Database–Chorusai integration in-house.
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 464 integrations available for Azure SQL Database and Chorusai.