Real-time
Two-way sync
Changes in Citus or Freshworks CRM instantly reflect in both systems. No stale data, no manual imports.
Database ⇄ CRM
Citus to Freshworks CRM integration — real-time, two-way sync
Keep Citus 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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Migrated from Mulesoft
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Migrated from Fivetran
Case study
Migrated from Celigo
Why teams connect Citus and Freshworks CRM
Treat Freshworks CRM like part of your database: its records live in Citus 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 Citus, where it can be queried and joined like everything else.
Stacksync mirrors Notes, Contacts, Accounts, Deals from Freshworks CRM into Views, Sequences, Distributed tables, Reference tables in Citus 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
- Two-way sync accounts and deals with an ERP so quotes and invoices reference the same customer records.
- Keep list membership aligned with segments computed in the warehouse.
- Write CRM or billing records into reference tables so distributed queries can join operational context locally on every node.
- Use a Citus cluster as the scalable operational store behind a customer-facing app while syncing summaries back to internal tools.
Product events onto CRM records
Signup, usage, or lifecycle changes written to Citus 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.
Trigger workflows from CRM changes
Field and stage updates in Freshworks CRM arrive as row changes in Citus, ready to drive jobs and notifications.
What you can sync between Citus 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.
| Citus objects | Freshworks CRM objects | |
|---|---|---|
| Local tables Coordinator-only tables that behave exactly like standard PostgreSQL tables. | Tasks Follow-ups created from external signals such as product usage events. | |
| Schemas Standard Postgres namespaces used to scope what a sync user can read and write. | Appointments Meeting records readable for activity reporting. | |
| Views Curated projections over distributed data, often used as read-only sync sources. | Sales activities Logged activity types used in engagement and productivity analysis. | |
| Sequences Key generators that matter when external writes must not collide with application inserts. | Lists Contact list membership synced against segments computed in a warehouse. | |
| Distributed tables Tables sharded across worker nodes by a distribution column; the main sync target for large datasets. | Notes Context records attached to contacts, accounts, and deals. | |
| Reference tables Small lookup tables replicated to every node, synced like ordinary Postgres tables. | Contacts Unified sales-and-marketing person records; the core entity for bidirectional syncs. |
What ships with Citus ⇄ Freshworks CRM
Connect Citus and Freshworks CRM for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Citus–Freshworks CRM connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Citus 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 Citus or Freshworks CRM record.
Observability
Monitoring
Track your Citus ⇄ 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 Citus and Freshworks CRM.
How the Citus and Freshworks CRM connectors work
Citus
- Integration surface
- PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node
- Authentication
- Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options)
- Change detection
- PostgreSQL logical decoding / CDC, with caveats: changes to distributed tables occur on worker shards, so CDC setup differs from single-node Postgres
- Capabilities
- read · write · CDC
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 Citus 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.
- 01
Connect your apps
Authenticate Citus 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.
Citus
connected
Freshworks CRM
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Citus 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.
objects · Citus ⇄ Freshworks CRMCustomers 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.
Citus Freshworks CRMCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Citus and Freshworks CRM integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Citus and Freshworks CRM: authenticate both systems, choose the objects to sync (such as Citus's Local tables and Schemas), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Common patterns for Citus and Freshworks CRM: Product events onto CRM records; Internal tools without API code; Trigger workflows from CRM changes. Signup, usage, or lifecycle changes written to Citus sync onto the matching records in Freshworks CRM, giving go-to-market teams live product context.
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Citus: PostgreSQL wire protocol; any standard Postgres driver connects to the coordinator node. Authentication: Database credentials (standard PostgreSQL authentication; managed deployments add cloud IAM options). Freshworks CRM: REST API. Authentication: API key sent as a Token authorization header. Stacksync manages authentication, retries, and rate limits on both sides.
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Freshworks CRM: Contacts and accounts expose lifecycle stages and custom fields through the API, so one record serves both sales and marketing workflows. Citus: Citus is a PostgreSQL extension, not a fork: clients connect with ordinary Postgres drivers and SQL, and the coordinator routes queries to shards. Stacksync's field mapping accounts for these differences between Citus and Freshworks CRM 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 Citus and Freshworks CRM 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 Citus and Freshworks CRM connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Citus–Freshworks CRM integration in-house.
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.
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 386 integrations available for Citus and Freshworks CRM.
Popular · 8 of 386
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Citus ⇄ Twenty CRM -
Citus ⇄ Veeva CRM -
Citus ⇄ Vtiger CRM -
Citus ⇄ Zoho SalesIQ -
Freshworks CRM ⇄ SQL Server -
Freshworks CRM ⇄ Postgres Heroku -
Freshworks CRM ⇄ Airtable -
Freshworks CRM ⇄ AWS Aurora MySQL
No integrations match .
