Real-time
Two-way sync
Changes in Freshsales or MongoDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Freshsales to MongoDB integration — real-time, two-way sync
Keep Freshsales and MongoDB 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 Freshsales and MongoDB
Treat Freshsales like part of your database: its records live in MongoDB 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 MongoDB, where it can be queried and joined like everything else.
Stacksync mirrors Contacts, Accounts, Deals, Tasks from Freshsales into Collections, Documents, Embedded documents and arrays, Indexes in MongoDB with real-time, bi-directional sync. Read CRM records with plain queries; write updates from your application and they appear in Freshsales 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
- Sync sales activities and appointments into analytics tools for rep productivity reporting.
- Two-way sync of contacts and accounts between Freshsales and a Postgres database so product and data teams query CRM data with SQL.
- Capture change stream events and propagate them to SaaS tools in near real time instead of running batch exports.
- Keep a MongoDB-backed product catalog aligned with an ERP's item master in both directions.
Query the CRM like a database
Accounts, contacts, and custom objects from Freshsales become tables in MongoDB you can join with application data directly.
Product events onto CRM records
Signup, usage, or lifecycle changes written to MongoDB sync onto the matching records in Freshsales, 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 Freshsales API, limits, and retries.
What you can sync between Freshsales and MongoDB
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.
| Freshsales objects | MongoDB objects | |
|---|---|---|
| Appointments Scheduled meetings readable for activity analytics. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | |
| Notes Free-text records attached to contacts, accounts, and deals. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | |
| Sales activities Configurable activity types logged against records, useful for engagement scoring. | Indexes Keep lookups by sync key fast on large collections. | |
| Products Catalog items attached to deals for line-level revenue data. | Views Read-only aggregation-defined sources for filtered sync datasets. | |
| Contacts Person records carrying lifecycle stages; the main entity for two-way CRM syncs. | Change streams The oplog-backed event feed that powers real-time change capture. | |
| Accounts Company records kept aligned with billing, ERP, and warehouse tables. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. |
What ships with Freshsales ⇄ MongoDB
Connect Freshsales and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Freshsales–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Freshsales or MongoDB 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 Freshsales or MongoDB record.
Observability
Monitoring
Track your Freshsales ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Freshsales and MongoDB.
How the Freshsales and MongoDB connectors work
Freshsales
- Integration surface
- REST API
- Authentication
- API key sent as a Token authorization header
- Change detection
- Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations
- Capabilities
- read · write · webhooks
- Rate limits
- Subject to per-account API rate limits that vary by Freshworks plan
MongoDB
- Integration surface
- MongoDB wire protocol via official drivers; Atlas additionally offers an administration REST API for cluster management
- Authentication
- Database credentials (username/password) or TLS/SSL X.509 certificate (.pem upload), entered individually or via a MongoDB connection string (SRV or standard); Stacksync IP allowlisting required
- Change detection
- MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time
- Capabilities
- read · write · CDC
How it works
How to connect Freshsales to MongoDB — 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 Freshsales and MongoDB with each platform's native method — OAuth, API keys, or service accounts — plus secure options like SSH tunneling, IP whitelisting, and VPC peering.
Freshsales
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Freshsales and MongoDB 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 · Freshsales ⇄ MongoDBCustomers 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.
Freshsales MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Freshsales and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time two-way integration between Freshsales and MongoDB: authenticate both systems, choose the objects to sync (such as Freshsales's Appointments and Notes), map fields visually, and changes propagate both ways in milliseconds — no code required.
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Stacksync pricing is usage-based and starts at $1,000/month, including the managed Freshsales and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom Freshsales–MongoDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both Freshsales and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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Change detection on Freshsales: Polling with updated-at filters through views; outbound webhooks can be configured via workflow automations. On MongoDB: MongoDB oplog and change streams (requires the database to run as a replica set — even single-node); Stacksync leverages these built-in tools to track changes in real time. Each detected change propagates to the other side in milliseconds, with field-level conflict resolution and an inspectable event log.
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On the Freshsales side: Contacts, Accounts, Deals, Tasks, plus custom fields where Freshsales exposes them. On the MongoDB side: Collections, Documents, Embedded documents and arrays, Indexes. Stacksync auto-detects both schemas and converts types between the two systems.
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Yes. Each object mapping can be bidirectional or restricted to a single direction (both systems accept writes). Read-only mirrors, one-way pushes, and full two-way sync can be mixed in the same integration.
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 Freshsales and MongoDB.
Popular · 8 of 386
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Freshsales ⇄ Dynamo DB -
Freshsales ⇄ IBM Db2 -
Freshsales ⇄ Firebase -
Freshsales ⇄ SingleStore -
MongoDB ⇄ Salesforce -
MongoDB ⇄ HubSpot -
MongoDB ⇄ Microsoft Dynamics 365 Sales -
MongoDB ⇄ Attio
No integrations match .
