Real-time
Real-time sync
Changes in Crustdata or MongoDB instantly reflect in both systems. No stale data, no manual imports.
CRM ⇄ Database
Crustdata to MongoDB integration — real-time data sync
Keep Crustdata 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 Crustdata and MongoDB
Treat Crustdata like part of your database: its records live in MongoDB as real tables, and writes in either place sync to the other in seconds.
Crustdata 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 Crustdata — without exports, scripts, or schedulers.
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.
Common use cases
- 01 Fill missing contact fields on CRM people records from Crustdata profiles instead of manual research.
- 02 Stream screener results into a warehouse to maintain a living TAM and target-account universe.
- 03 Consolidate documents from multiple clusters or tenants into a single warehouse-facing store.
- 04 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.
Common sync patterns
Query the CRM like a database
Accounts, contacts, and custom objects from Crustdata 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 Crustdata, 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 Crustdata API, limits, and retries.
What you can sync between Crustdata 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.
| Crustdata objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Screener Results Saved company searches with filter criteria; read on a schedule so target-account lists in the CRM refresh as companies enter the criteria. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Screener Results is specific to Crustdata and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Enrichment Responses Real-time enrichment lookups keyed by domain or profile URL; read to append fresh firmographic and contact data at form-fill or record-creation time. | Indexes Keep lookups by sync key fast on large collections. | Enrichment Responses is specific to Crustdata and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Companies Firmographic records — industry, size, funding, growth signals; read out to enrich CRM accounts and warehouse company tables. | Views Read-only aggregation-defined sources for filtered sync datasets. | Companies is specific to Crustdata and Views to MongoDB — each maps to any object or custom field on the other side. | |
| People Contact and profile data for decision-makers; read into a CRM or outreach tool to fill missing titles, emails, and LinkedIn profiles. | Change streams The oplog-backed event feed that powers real-time change capture. | People is specific to Crustdata and Change streams to MongoDB — each maps to any object or custom field on the other side. | |
| Headcount and Growth Metrics Time-series employee counts by department and region; read to score accounts on hiring momentum and expansion signals. | GridFS files Chunked file storage whose metadata can be referenced by synced documents. | Headcount and Growth Metrics is specific to Crustdata and GridFS files to MongoDB — each maps to any object or custom field on the other side. | |
| Tech Stack Detected technologies per company; read to build segments and route accounts by the tools they already use. | Databases Logical groupings of collections that scope a sync connection. | Tech Stack is specific to Crustdata and Databases to MongoDB — each maps to any object or custom field on the other side. |
How changes propagate between Crustdata 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.
Crustdata MongoDB Interval-based propagation
DetectionStacksync polls Crustdata for changes on an incremental schedule, reading only records changed since the previous pass. Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
MongoDB Crustdata 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).
DeliveryCrustdata does not accept inbound record writes, so this direction carries requests rather than records: Crustdata's output flows back as field updates on the originating MongoDB records.
Rate-limit considerations
- Crustdata: Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
What ships with Crustdata ⇄ MongoDB
Connect Crustdata and MongoDB for flexible, real-time data sync.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Crustdata–MongoDB connection.
No-code + pro-code
Workflow automation
Trigger automated workflows whenever Crustdata 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 Crustdata or MongoDB record.
Observability
Monitoring
Track your Crustdata ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Trading partners
EDI
Transform legacy EDI complexity into simple database interactions between Crustdata and MongoDB.
How the Crustdata and MongoDB connectors work
Crustdata
- Integration surface
- REST API (JSON)
- Authentication
- API token — Authorization: Token header issued per workspace
- Change detection
- Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets; no webhooks or change feed
- Capabilities
- read
- Rate limits
- Requests are metered by plan credits and per-minute rate limits; bulk dataset pulls are the efficient path for large refreshes rather than per-record enrichment calls.
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 Crustdata 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 Crustdata 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.
Crustdata
connected
MongoDB
connected
OAuth 2.0SSH tunnelSSL certificateVPC peering - 02
Choose tables
Pick the Crustdata 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 · Crustdata ⇄ 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.
Crustdata MongoDBCompany company_name textEmail email textAmount amount numericCreated created_at timestamp
FAQ
Crustdata and MongoDB integration FAQ
-
Yes. Stacksync provides a managed, real-time integration between Crustdata and MongoDB — Crustdata 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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Yes — Stacksync ships production-grade connectors for both Crustdata 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 Crustdata: Pull-based: real-time enrichment endpoints for on-demand lookups plus periodic re-pulls of screeners and datasets; no webhooks or change feed. 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 Crustdata side: Enrichment Responses, Companies, People, Headcount and Growth Metrics, plus custom fields where Crustdata exposes them. On the MongoDB side: Databases, Collections, Documents, Embedded documents and arrays. Stacksync auto-detects both schemas and converts types between the two systems.
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Crustdata is a read-only source, so this integration runs one-way: Stacksync reads from Crustdata in real time and delivers into MongoDB. Field mapping and monitoring work the same as for two-way pairs.
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Common patterns for Crustdata and MongoDB: Query the CRM like a database; Product events onto CRM records; Internal tools without API code. Accounts, contacts, and custom objects from Crustdata become tables in MongoDB you can join with application data directly.
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 338 integrations available for Crustdata and MongoDB.
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