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Database ⇄ CRM

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

Keep Apache Cassandra and Freshworks CRM in sync without custom scripts. Cut weeks of integration work, eliminate silent data drift, and give your team a single, reliable source of truth.

  • SOC 2 and 6 other compliance frameworks
  • POC with real engineers in minutes

Adopted by fast-scaling companies moving mission-critical data in real time

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Why teams connect Apache Cassandra and Freshworks CRM

Treat Freshworks CRM 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 Lists, Notes, Contacts, Accounts from Freshworks CRM into Tables, Partitions and Rows, Materialized Views, Secondary Indexes in Apache Cassandra with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshworks CRM 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

  • Mirror deal and activity data into a Postgres database that internal tools query directly.
  • Sync unified contact records, covering sales and marketing attributes, into a warehouse for full-funnel reporting.
  • Consolidate data from multiple keyspaces or clusters into one reporting store.
  • Replicate high-volume event or profile tables from Cassandra into a warehouse for analytics that CQL cannot express.

Query the CRM like a database

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

Product events onto CRM records

Signup, usage, or lifecycle changes written to Apache Cassandra sync onto the matching records in Freshworks CRM, giving go-to-market teams live product context.

Internal tools without API code

Back-office apps read and write the synced tables; Stacksync handles the Freshworks CRM API, limits, and retries.

What you can sync between Apache Cassandra and Freshworks CRM

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 Freshworks CRM objects
Collections List, set, and map columns handled with type-aware field mapping. Tasks Follow-ups created from external signals such as product usage events.
Counters Increment-only counter columns, usually read-only in syncs. Appointments Meeting records readable for activity reporting.
Keyspaces Top-level namespaces with replication settings that scope a sync connection. Sales activities Logged activity types used in engagement and productivity analysis.
Tables Wide-column tables addressed by partition key, the unit of row-level sync. Lists Contact list membership synced against segments computed in a warehouse.
Partitions and Rows Records located by partition and clustering keys during reads and upserts. Notes Context records attached to contacts, accounts, and deals.
Materialized Views Server-maintained denormalized views; considered experimental and disabled by default in recent releases. Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs.
What ships with Apache Cassandra ⇄ Freshworks CRM

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

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

Real-time

Two-way sync

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

No-code + pro-code

Workflow automation

Trigger automated workflows whenever Apache Cassandra or Freshworks CRM 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 Freshworks CRM record.

Observability

Monitoring

Track your Apache Cassandra ⇄ Freshworks CRM 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 Freshworks CRM.

How the Apache Cassandra and Freshworks CRM 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

Freshworks CRM

Integration surface
REST API
Authentication
API key sent as a Token authorization header
Change detection
Polling with updated-at filters; outbound webhooks can be configured through workflow automations
Capabilities
read · write · webhooks
Rate limits
Subject to per-account API rate limits that vary by plan
How it works

How to connect Apache Cassandra to Freshworks CRM — 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 Freshworks CRM 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
    Freshworks CRM connected
    OAuth 2.0
    SSH tunnel
    SSL certificate
    VPC peering
  2. 02

    Choose tables

    Pick the Apache Cassandra and Freshworks CRM 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 ⇄ Freshworks CRM
    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 Freshworks CRM
    Company company_name text
    Email email text
    Amount amount numeric
    Created created_at timestamp
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FAQ

Apache Cassandra and Freshworks CRM integration FAQ

SECURITY

Security teams love 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.

Learn more about security
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:

OAuth 2 SSH Tunnelling SSL certificates IP Whitelisting VPN gateway VPC peering and more

Related integrations

Every pair below is a real-time, two-way sync. Search all 386 integrations available for Apache Cassandra and Freshworks CRM.

Popular · 8 of 386
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