Real-time
Real-time sync
Changes in BetterContact or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Business productivity ⇄ Database
BetterContact to MongoDB integration — real-time data sync
Keep BetterContact 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.
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Adopted by fast-scaling companies moving mission-critical data in real time
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Why teams connect BetterContact and MongoDB
Mirror BetterContact's data into MongoDB so your own code can read and write it like any other table, with changes flowing both ways in seconds.
BetterContact is a read-only source: Stacksync reads its data in real time and delivers it into MongoDB, so MongoDB always reflects the current state of BetterContact — without exports, scripts, or schedulers.
Engineers integrate with tools like BetterContact through APIs, which means auth, pagination, rate limits, webhooks, and retry logic, all maintained forever and all different for every tool. Meanwhile the data would be trivial to use if it simply lived in MongoDB.
Stacksync mirrors Lead Finder Search, Enrichment Request, Enriched Contact, Company from BetterContact into Documents, Embedded documents and arrays, Indexes, Views in MongoDB and keeps both sides in sync in real time. Your services query the database directly, and inserts or updates your code makes flow back into BetterContact, so the tool and the database never disagree.
Common use cases
- 01 Validate catch-all email addresses before sending to protect sender domain reputation.
- 02 Enrich new CRM leads with verified emails and mobile numbers as they are created, writing results back to the CRM record.
- 03 Sync MongoDB collections with a CRM so customer documents written by the application appear as CRM records, and CRM edits flow back as document updates.
- 04 Replicate operational MongoDB data into a relational database, flattening nested documents into normalized tables for SQL reporting.
Common sync patterns
Automate BetterContact from your codebase
Write to the synced tables in MongoDB and Stacksync propagates the change into BetterContact, replacing custom integration code.
React to changes as they happen
Updates in BetterContact arrive as row changes in MongoDB, so triggers, jobs, and services can respond in near real time.
One integration pattern for the whole stack
Every synced tool looks the same from the database, so each new integration is configuration, not a new codebase.
What you can sync between BetterContact 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.
| BetterContact objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Enrichment Request Batch or single submissions of up to 100 contacts per request for waterfall enrichment. | Databases Logical groupings of collections that scope a sync connection. | Enrichment Request is specific to BetterContact and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| Enriched Contact Verified work emails and mobile numbers with job title, LinkedIn profile, location, and skills. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | Enriched Contact is specific to BetterContact and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Company Company data returned with each contact: name, domain, HQ location, industry, employee count. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Company is specific to BetterContact and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Lead Finder Search Prospect discovery by people and company filters, returning enriched lead profiles. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Lead Finder Search is specific to BetterContact and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between BetterContact and MongoDB
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.
BetterContact MongoDB Sub-second propagation
DetectionBetterContact notifies Stacksync of record changes through webhook events. Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB BetterContact Sub-second propagation
DetectionChanges in MongoDB are captured at the source via change data capture — no polling loop against its API. MongoDB oplog and change streams (requires the database to run as a replica set — even single-node).
DeliveryBetterContact does not accept inbound record writes, so this direction carries requests rather than records: BetterContact's output flows back as field updates on the originating MongoDB records.
Rate-limit considerations
- BetterContact: Batches capped at 100 contacts per enrichment request.
What ships with BetterContact ⇄ MongoDB
Connect BetterContact and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every BetterContact–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever BetterContact 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 BetterContact or MongoDB record.
Observability
Monitoring
Track your BetterContact ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between BetterContact and MongoDB.
How the BetterContact and MongoDB connectors work
BetterContact
- Integration surface
- Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint
- Authentication
- API key
- Change detection
- Job-based delivery — enrichment results arrive by webhook push or polling of the results endpoint; there is no persistent record store to watch
- Capabilities
- read · webhooks
- Rate limits
- Batches capped at 100 contacts per enrichment request.
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 BetterContact 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 BetterContact 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.
BetterContact
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the BetterContact 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 · BetterContact ⇄ 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.
BetterContact MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
BetterContact and MongoDB integration FAQ
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Yes. Stacksync provides a managed, real-time integration between BetterContact and MongoDB — BetterContact is a read-only source, so data flows from it into the other system: authenticate both systems, choose the objects to sync, map fields visually, and changes propagate in milliseconds — no code required.
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BetterContact: Asynchronous REST API: submit contacts, then receive results via webhook or fetch them from a results endpoint. Authentication: API key. MongoDB: 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. Stacksync manages authentication, retries, and rate limits on both sides.
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BetterContact: Waterfall enrichment aggregates 20+ data providers per lookup. MongoDB: Change streams expose ordered change events with resume tokens, so an interrupted sync can pick up exactly where it stopped without a full re-read. Stacksync's field mapping accounts for these differences between BetterContact and MongoDB 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 BetterContact and MongoDB 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 BetterContact and MongoDB connectors, real-time two-way sync, monitoring, and support. That replaces building and maintaining a custom BetterContact–MongoDB integration in-house.
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Yes — Stacksync ships production-grade connectors for both BetterContact and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
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 390 integrations available for BetterContact and MongoDB.
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MongoDB ⇄ Campfire -
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MongoDB ⇄ SendGrid
No integrations match .
