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Database ⇄ CRM

Apache Cassandra to Chorusai integration — real-time, two-way sync

Keep Apache Cassandra 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.

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Why teams connect Apache Cassandra and Chorusai

Treat Chorusai like part of your database: its records live in Apache Cassandra 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 Apache Cassandra, where it can be queried and joined like everything else.

Stacksync mirrors Playlists, Engagements, Recordings (Conversations), Users from Chorusai into User-Defined Types, Collections, Counters, Keyspaces in Apache Cassandra 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 Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.
  • 04 Sync customer profile data between Cassandra and a CRM so operational apps and sales tools agree.

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 Apache Cassandra, ready to drive jobs and notifications.

Query the CRM like a database

Accounts, contacts, and custom objects from Chorusai become tables in Apache Cassandra you can join with application data directly.

What you can sync between Apache Cassandra and Chorusai

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.

Apache Cassandra objects Chorusai objects How this pairing syncs
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Deals CRM opportunity context attached to a conversation (account, deal, owner); read to attribute call activity to open pipeline. Tables is specific to Apache Cassandra and Deals to Chorusai — each maps to any object or custom field on the other side.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Scorecards Call QA and coaching assessments with reviewer, recipient, and scores; read and exported for rep-performance reporting. Partitions and Rows is specific to Apache Cassandra and Scorecards to Chorusai — each maps to any object or custom field on the other side.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Moments Timestamped highlight clips from a conversation; created via the API to capture key call snippets. Materialized Views is specific to Apache Cassandra and Moments to Chorusai — each maps to any object or custom field on the other side.
Secondary Indexes Optional indexes that allow filtered reads outside the partition key. Playlists Curated collections of Moments and Recordings; created and managed to share coaching examples across teams. Secondary Indexes is specific to Apache Cassandra and Playlists to Chorusai — each maps to any object or custom field on the other side.
User-Defined Types Composite column types that syncs must flatten or map to structured fields. Engagements Meetings and dialer calls, the core record; filterable by date_time, participants, and processing_state, and polled incrementally to read conversation activity out. User-Defined Types is specific to Apache Cassandra and Engagements to Chorusai — each maps to any object or custom field on the other side.
Collections List, set, and map columns handled with type-aware field mapping. Recordings (Conversations) The recorded call with utterances, transcript, thumbnails, and metrics; read for analysis and uploaded or deleted through the API. Collections is specific to Apache Cassandra and Recordings (Conversations) to Chorusai — each maps to any object or custom field on the other side.

How changes propagate between Apache Cassandra and Chorusai

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.

Apache Cassandra Chorusai Sub-second propagation

DetectionChanges in Apache Cassandra are captured at the source via change data capture — no polling loop against its API. Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns.

DeliveryEach detected change is written to Chorusai through its API, with automatic retries and rate-limit backoff.

Chorusai Apache Cassandra 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 Apache Cassandra through its API, with automatic retries and rate-limit backoff.

Rate-limit considerations

  • Apache Cassandra: No API quotas; throughput is governed by cluster capacity and consistency-level choices.
  • 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 Apache Cassandra ⇄ Chorusai

Connect Apache Cassandra and Chorusai for flexible, real-time data sync.

Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Apache Cassandra–Chorusai connection.

Real-time

Two-way sync

Changes in Apache Cassandra or Chorusai instantly reflect in both systems. No stale data, no manual imports.

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Chorusai 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 Apache Cassandra or Chorusai record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Chorusai sync health, view errors, and replay failed events in one click.

Trading partners

EDI

Transform legacy EDI complexity into simple database interactions between Apache Cassandra and Chorusai.

How the Apache Cassandra and Chorusai connectors work

Apache Cassandra

Integration surface
CQL over the Cassandra native binary protocol
Authentication
Database credentials (password authenticator); TLS and role-based grants where configured
Change detection
Commit-log based CDC on tables with CDC enabled, or polling using writetime metadata and timestamp columns
Capabilities
read · write · CDC
Rate limits
No API quotas; throughput is governed by cluster capacity and consistency-level choices

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
Chorusai setup guide
How it works

How to connect Apache Cassandra to Chorusai — 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.

  1. 01

    Connect your apps

    Authenticate Apache Cassandra 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.

    • OAuth 2.0
    • SSH tunnel
    • VPC peering
    Apache Cassandra connected
    Chorusai connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra 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.

    • Standard objects
    • Custom objects
    • Auto-schema
    objects · Apache Cassandra ⇄ Chorusai
    Customers 12,480
    Sales Orders 8,213
    Invoices 5,902
    Items 1,344
  3. 03

    Map fields

    Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.

    • Auto-map
    • Type casting
    • Transforms
    Apache Cassandra Chorusai
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
FAQ

Apache Cassandra and Chorusai integration FAQ

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

Every pair below is a real-time, two-way sync. Search all 451 integrations available for Apache Cassandra and Chorusai.

Popular · 6 of 451
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