Connect MongoDB and
Salesforce with AI

Stop manually exporting customer data from MongoDB and importing it into Salesforce. Redbird AI syncs product usage, user behavior, and application data directly into your CRM—keeping sales teams updated with real-time context on every account.

No code required
Live in minutes
SOC 2 Type II

What you can automate today

Redbird gives your team ready-to-run workflows — just connect your accounts and go.

Sync product usage events from MongoDB into Salesforce account records

Automatically push feature adoption, session data, and user activity from your MongoDB collections into Salesforce Account and Contact records. Sales reps see exactly how customers are using your product without switching systems. Keep engagement scores and usage metrics current for every opportunity.

Enrich MongoDB customer profiles with Salesforce deal stage and revenue data

Pull account tier, contract value, and opportunity stage from Salesforce into your MongoDB user documents. Power in-app personalization and segmentation based on CRM attributes. Enable your application to adapt experiences based on customer lifecycle stage.

Alert sales reps when MongoDB activity signals churn risk or expansion opportunity

Monitor usage drops, feature adoption spikes, or threshold events in MongoDB and automatically create Salesforce tasks or update opportunity fields. Surface product signals that indicate upsell readiness or at-risk accounts. Drive proactive outreach based on behavioral data.

Create MongoDB documents when new Salesforce opportunities reach closed-won stage

Automatically generate onboarding records, configuration documents, or provisioning entries in MongoDB when deals close in Salesforce. Trigger downstream workflows in your application stack. Eliminate manual handoffs between sales and implementation teams.

Generate executive dashboards combining MongoDB metrics with Salesforce pipeline data

Pull product engagement metrics from MongoDB alongside revenue and forecast data from Salesforce into unified reports. Correlate usage patterns with deal velocity and win rates. Surface insights on which product features drive sales outcomes.

Archive historical Salesforce activity logs and communications into MongoDB collections

Move older Salesforce Tasks, Events, and EmailMessages into MongoDB for long-term storage while maintaining queryability. Reduce Salesforce storage costs without losing customer interaction history. Keep complete audit trails accessible for compliance and analysis.

Live in four steps

No engineers, no pipelines to maintain. Redbird handles the connectivity — you focus on the outcome.

01

Connect your accounts

Authorize MongoDB and Salesforce with OAuth or API credentials. Redbird never stores your data — it just passes through.

02

Describe what you want

Tell Redbird what to do in plain language — no SQL, no code, no configuration files required.

03

Review and activate

Redbird shows you exactly what it will do before running anything. Approve the workflow, set a schedule, and switch it on.

04

Let it run — and iterate

Workflows run on your schedule or on triggers. Every run is logged. Adjust with natural language at any time.

Built for data-driven teams

Redbird understands MongoDB's document structure and nested arrays alongside Salesforce's object relationships, so you can map complex operational data into CRM fields without custom code.

AI that understands both document databases and CRM schemas

Redbird automatically maps MongoDB collections, embedded documents, and array fields to Salesforce standard and custom objects. The platform handles schema differences—flattening nested structures, aggregating event collections, and resolving references between MongoDB documents and Salesforce records. Whether you're syncing user activity logs or enriching accounts with product metrics, Redbird translates between MongoDB's flexible documents and Salesforce's relational structure without transformation scripts.

Nested document flattening
Collection-to-object mapping
Array aggregation logic
Custom field matching
10×

faster than building custom MongoDB-to-Salesforce ETL pipelines

No Lambda functions, API rate limit handling, or field mapping tables required

Auto-generated reports

Redbird can pull from MongoDB and Salesforce simultaneously, merge the results, and format a polished report — sent on a schedule or on demand.

Trigger-based alerts

Set conditions in natural language. Get notified in Slack or email the moment a threshold is crossed in either MongoDB or Salesforce.

Enterprise-grade security

SOC 2 Type II certified. Data flows encrypted in transit and at rest. Fine-grained permission controls with full audit logs.

Bidirectional sync

Push data from MongoDB into Salesforce, or from Salesforce back into MongoDB. Resolve conflicts with configurable merge rules.

Full audit trail

Every workflow run is logged — what ran, what changed, and why. Replay or revert any individual step at any time.

Triggers & actions for every team

Start automations from any MongoDB collection change or Salesforce record update, then take action across both systems.

MongoDB
Triggers & Actions
Trigger

Document inserted

Fires when a new document is added to a specified MongoDB collection.

Trigger

Document updated

Triggers when specific fields change in documents matching your query criteria.

Trigger

Aggregation threshold met

Monitors aggregation pipeline results and triggers when values cross defined thresholds.

Action

Insert document

Create new documents in any collection with mapped fields from Salesforce data.

Action

Update matching documents

Modify documents based on query filters, updating specific fields or nested attributes.

Action

Run aggregation query

Execute aggregation pipelines and return computed metrics or grouped results.

Salesforce
Triggers & Actions
Trigger

Record created

Fires when new Accounts, Contacts, Opportunities, or custom objects are created in Salesforce.

Trigger

Field value changed

Triggers when specified fields update on any Salesforce object, like Stage or Amount changes.

Trigger

Opportunity stage advanced

Monitors opportunity progression through your sales pipeline and triggers on stage transitions.

Action

Create or update record

Upsert Salesforce records using external IDs, preventing duplicates from MongoDB data.

Action

Add task or event

Create follow-up tasks or log activities on Account or Contact records based on product signals.

Action

Update related records

Modify parent Accounts, related Contacts, or linked Opportunities in bulk based on MongoDB events.

MongoDB
+
Salesforce

Ready to connect your stack?

Connect MongoDB and Salesforce in minutes. Give your sales team real-time product context and sync customer data across your entire stack without engineering overhead.

Get started → Book a demo