Connect Anaplan and
MongoDB with AI

Automate the flow between enterprise planning and operational data storage. Stop manually exporting forecast versions, rebuilding plan snapshots in JSON, or writing custom scripts to sync actuals back to your planning models.

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.

Archive completed plan versions and scenario outputs to MongoDB collections

Automatically capture approved budget versions, forecast snapshots, and scenario modeling results from Anaplan into MongoDB document collections. Preserve complete planning context including hierarchies, driver assumptions, and version metadata for historical analysis and audit trails.

Sync operational actuals from MongoDB into Anaplan for plan-versus-actual analysis

Stream real-time operational data stored in MongoDB—product usage events, transaction volumes, customer activity—directly into Anaplan modules. Finance and operations teams get live actuals feeding their models without CSV exports or manual data staging.

Export sales capacity plans to MongoDB for downstream application integration

Push territory assignments, quota allocations, and headcount plans from Anaplan into MongoDB collections that power sales enablement tools and CRM integrations. Keep operational systems in sync with the latest planning assumptions without middleware.

Enrich demand forecast models with product event data from MongoDB

Pull aggregated product usage patterns, feature adoption metrics, and behavioral trends from MongoDB documents into Anaplan supply chain and demand planning modules. Blend operational signals with planning drivers for more accurate forecasts.

Automate consolidation reporting by syncing cross-BU plan data into unified MongoDB views

Collect plan submissions from multiple Anaplan workspaces and business units, then write normalized documents to MongoDB for consolidated reporting dashboards. Build single-source analytics across decentralized planning processes without manual reconciliation.

Alert planning teams when MongoDB threshold events require forecast updates

Monitor operational KPIs and event volumes in MongoDB, triggering notifications to Anaplan-based planning workflows when actuals diverge from plan assumptions. Proactively prompt reforecasting when real-world data signals material changes.

Live in four steps

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

01

Connect your accounts

Authorize Anaplan and MongoDB 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 AI understands both Anaplan's multidimensional model structures and MongoDB's flexible document schemas, mapping between hierarchical planning data and nested JSON without custom transformation code.

AI that maps planning hierarchies to document collections

Redbird automatically interprets Anaplan dimensions, line items, versions, and time periods, then structures them as MongoDB documents with appropriate nesting and indexing. The AI recognizes when to flatten planning grids into arrays, when to preserve hierarchical relationships as embedded documents, and how to maintain referential integrity across collections. You get intelligent schema mapping that respects both the planning model logic and the document database structure.

Dimension-to-field mapping
Version control as document metadata
Time-series array handling
Nested hierarchy preservation
10×

faster than building custom ETL between Anaplan exports and MongoDB imports

No Python scripts, no staging databases, no manual schema translation

Auto-generated reports

Redbird can pull from Anaplan and MongoDB 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 Anaplan or MongoDB.

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 Anaplan into MongoDB, or from MongoDB back into Anaplan. 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 planning model updates in Anaplan or data changes in MongoDB—Redbird handles the complexity of both systems.

Anaplan
Triggers & Actions
Trigger

Planning version approved

Fires when a budget, forecast, or scenario version moves to approved status in the planning workflow.

Trigger

Model calculation completes

Triggers when Anaplan finishes recalculating a module after dimension or driver updates.

Trigger

Actuals imported to workspace

Activates when ERP or source system data loads into Anaplan actuals modules via scheduled import.

Action

Write line item values to module

Update specific cells or ranges in Anaplan modules with data from external sources or calculations.

Action

Create new planning version

Programmatically generate a new forecast or scenario version with specified parameters and baseline data.

Action

Export module view to snapshot

Capture current state of a specific module view with filters and formatting applied for archival or reporting.

MongoDB
Triggers & Actions
Trigger

Document inserted into collection

Fires when new documents are written to a specified MongoDB collection, capturing operational events or data additions.

Trigger

Aggregation pipeline threshold crossed

Triggers when a MongoDB aggregation query result exceeds defined thresholds for counts, sums, or calculated metrics.

Trigger

Field value updated in documents

Activates when specific fields are modified across documents matching a query pattern or filter criteria.

Action

Insert documents into collection

Write new JSON documents to MongoDB collections with specified structure, indexes, and metadata fields.

Action

Update documents matching query

Modify existing documents based on filter criteria, updating specific fields or nested properties programmatically.

Action

Run aggregation and return results

Execute MongoDB aggregation pipelines to transform, group, or calculate across documents and retrieve processed data.

Anaplan
+
MongoDB

Ready to connect your stack?

Connect Anaplan and MongoDB in minutes. Stop writing custom integration scripts and start automating the flow between planning models and operational data stores.

Get started → Book a demo