Two-way sync
Changes in Demandbase or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Keep Demandbase 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.
Demandbase holds the people, audiences, and campaign activity that marketing runs on, but that data sits behind interfaces built for marketers, not for your internal systems. Engineers and analysts who need contacts, list membership, or engagement, for reporting, attribution, or product logic, end up writing integration code against a rate-limited API and maintaining it forever. Meanwhile the customer and usage data marketers want for targeting already lives in MongoDB, hard to get into campaigns without manual exports.
Stacksync mirrors Change Subscriptions, Accounts, Opportunities, People (Persons) from Demandbase into Indexes, Views, Change streams, GridFS files in MongoDB field by field, in real time, and in both directions. Marketing records become rows your code can query and join with product and customer data; audiences and attributes computed in MongoDB, from usage, orders, or account status, sync back into Demandbase to drive campaigns and ads, with Demandbase kept authoritative for engagement. You decide which side owns which fields, and Stacksync resolves conflicts by rules you set.
Contacts, leads, audiences, and campaign metrics from Demandbase live in MongoDB as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
Segments computed in MongoDB from product usage, orders, or account status sync into Demandbase as lists or audiences, so campaigns and ads target the people your data says they should.
Opens, clicks, sends, RSVPs, or ad activity from Demandbase land in MongoDB beside the matching customer record, ready for reporting and revenue attribution.
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.
| Demandbase objects | MongoDB objects | How this pairing syncs | |
|---|---|---|---|
| Opportunities Opportunity records synced from the CRM into Demandbase; exported with calculated insights and imported or updated through the Data Import API. Read and write. | Databases Logical groupings of collections that scope a sync connection. | Opportunities is specific to Demandbase and Databases to MongoDB — each maps to any object or custom field on the other side. | |
| People (Persons) Contact/person records with verified business email, title, seniority, and quality grades; fetched and matched via the B2B Contact endpoints and exported or imported. | Collections The table-like sync unit; each collection maps to a table or object in the paired system. | People (Persons) is specific to Demandbase and Collections to MongoDB — each maps to any object or custom field on the other side. | |
| Activities Engagement and custom activity records (web, campaign, intent); exported via Data Export and pushed in through the Data Import API using custom activity types. | Documents BSON records created, updated, and deleted during syncs, keyed by _id. | Activities is specific to Demandbase and Documents to MongoDB — each maps to any object or custom field on the other side. | |
| Campaigns Marketing campaign records and creative assets exported through the Data Export API; read-only reporting feed. | Embedded documents and arrays Nested structures that syncs flatten or map to related records in relational targets. | Campaigns is specific to Demandbase and Embedded documents and arrays to MongoDB — each maps to any object or custom field on the other side. | |
| Account & Person Lists (Audiences) Named account and person segments exported via Data Export; custom audiences pushed into Demandbase through the Data Import API. Read and write. | Indexes Keep lookups by sync key fast on large collections. | Account & Person Lists (Audiences) is specific to Demandbase and Indexes to MongoDB — each maps to any object or custom field on the other side. | |
| Company Details (B2B enrichment) Firmographics, technographics, competitors, and corporate family tree fetched by domain or name via the B2B Company Search and Details endpoints; read-only enrichment. | Views Read-only aggregation-defined sources for filtered sync datasets. | Company Details (B2B enrichment) is specific to Demandbase and Views to MongoDB — each maps to any object or custom field on the other side. |
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.
DetectionDemandbase notifies Stacksync of record changes through webhook events. Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL.
DeliveryEach detected change is applied to MongoDB as a row-level write, with types converted between the two schemas.
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).
DeliveryEach detected change is written to Demandbase through its API, with automatic retries and rate-limit backoff.
Real-time sync, workflow automation, event queues, EDI, and monitoring, for every Demandbase–MongoDB connection.
Changes in Demandbase or MongoDB instantly reflect in both systems. No stale data, no manual imports.
Trigger automated workflows whenever Demandbase or MongoDB data changes, update records, fire webhooks, or kick off sequences without brittle API scripts.
Handle millions of events per minute without losing a single Demandbase or MongoDB record.
Track your Demandbase ⇄ MongoDB sync health, view errors, and replay failed events in one click.
Transform legacy EDI complexity into simple database interactions between Demandbase and MongoDB.
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.
Authenticate Demandbase 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.
Pick the Demandbase 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.
Fields map automatically even when names and types differ. Stacksync handles transformation and type casting for you, zero configuration required.
Yes. Stacksync provides a managed, real-time two-way integration between Demandbase and MongoDB: authenticate both systems, choose the objects to sync (such as Demandbase's Opportunities and People (Persons)), map fields visually, and changes propagate both ways in milliseconds — no code required.
Yes — Stacksync ships production-grade connectors for both Demandbase and MongoDB. The connectors handle authentication, schema detection, rate limits, and retries; you configure the sync, and Stacksync operates it.
Change detection on Demandbase: Subscription API webhooks - company firmographic, company news, family-tree (ownership), and person employment-change alerts to a configurable URL secured with a signing secret; bulk reads run as async export jobs (submit, poll, download). No log-based CDC. 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.
On the MongoDB side: Indexes, Views, Change streams, GridFS files, plus custom fields where MongoDB exposes them. On the Demandbase side: Change Subscriptions, Accounts, Opportunities, People (Persons). Stacksync auto-detects both schemas and converts types between the two systems.
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.
Common patterns for Demandbase and MongoDB: Query Demandbase like a database; Build audiences from your own data; Engagement and results next to the customer. Contacts, leads, audiences, and campaign metrics from Demandbase live in MongoDB as ordinary tables or collections, joinable with the rest of your data and reachable without touching the vendor API.
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.
Let your users access Stacksync from your centralized user management systems. Works with Okta, Azure, Google SSO and more.
Immediately get alerted about record syncing issues over email, Slack, PagerDuty and WhatsApp. Resolve issues from a centralized dashboard with retry and revert options.
Securely connects to your systems with:
Every pair below is a real-time, two-way sync. Search all 500 integrations available for Demandbase and MongoDB.