MongoDB integration
Read and write MongoDB documents, sync collections with your stack, and trigger workflows when documents change — no code.
What the MongoDB integration does
MongoDB stores the flexible, document-shaped data behind many modern apps. The OctaviaFlow MongoDB integration gets those documents out to the rest of your stack and keeps them in sync — without writing export scripts or aggregation pipelines by hand.
Query documents with filters, insert or upsert records, and start workflows when documents change. Nested fields and arrays come through intact, so a document can drive downstream steps or be reshaped and written elsewhere in the same pipeline.
Sync on a schedule or react to changes as they happen.
What you can do
Query documents
Read from any collection with filters, pulling exactly the documents a workflow needs — nested fields and arrays preserved.
Insert & upsert
Write documents back to MongoDB: create new ones, update in place, or upsert to keep a collection in sync with another system.
Trigger on changes
Start a workflow when documents are created or updated, so downstream steps run automatically as your data changes.
Reshape on the way
Flatten, map, or transform documents between MongoDB and a relational database, warehouse, or SaaS app.
Multi-step automations
Combine MongoDB with conditions, loops, transforms, AI steps, and other connectors to model real data flows.
Secure by default
Connect over TLS with encrypted credentials, including MongoDB Atlas and self-managed clusters.
How it works in MongoDB
- 1
Connect MongoDB
Add your connection string and credentials in Connectors. Atlas and self-hosted clusters are both supported over TLS.
- 2
Add a MongoDB step
Drop a query (read) or write action into your workflow, or start the workflow when documents change.
- 3
Shape the data
Filter reads, map fields for writes, and reference values from earlier steps.
- 4
Run or automate
Run on demand, on a schedule, or automatically as documents change.
Popular MongoDB automations
Sync MongoDB to your warehouse
Flatten documents into tables and load them into Snowflake or another warehouse for analytics.
Keep app data in sync
Mirror a collection to another database or SaaS tool, and write changes back, so records stay consistent.
Event-driven automations
Fire an enrichment, notification, or downstream write when a document is created or updated.
Bulk import & migrate
Load documents into MongoDB from files, APIs, or another database with field mapping.
Enrich documents with AI
Read documents, run them through an AI step, and write the enriched result back to the collection.
Operational reporting
Aggregate documents on a schedule and write summaries to a warehouse or spreadsheet.
MongoDB integration FAQ
Can OctaviaFlow read from and write to MongoDB?
Yes. Query actions read documents with filters, and write actions insert, update, or upsert — in either direction, in the same workflow. Nested fields and arrays are preserved.
Can a workflow trigger when documents change?
Yes. A workflow can start when documents are created or updated, so downstream steps run automatically as your data changes.
Does it work with MongoDB Atlas and self-hosted clusters?
Yes. Connect Atlas or a self-managed cluster with a connection string over TLS.
How does it handle nested documents?
Nested fields and arrays come through intact, and you can flatten or map them when writing to a relational target.
Are my credentials secure?
Connection credentials are stored encrypted and used over TLS. See our privacy policy for details.
Automate MongoDB with your whole stack
Connect MongoDB in minutes and let OctaviaFlow deliver the right message at the right moment — powered by data from anywhere.