Connect MongoDB to PostgreSQL
Project MongoDB collections into PostgreSQL tables so teams get relational queries, joins, and reporting on document data.
- MongoDB · document inserttrigger
- Flatten to relational rowsaction
- Upsert into PostgreSQLaction
- Projected to Postgresdone
MongoDB is great for the application, but analysts and reporting tools want relational PostgreSQL. Spojit reads MongoDB on change or on schedule, flattens documents into typed rows, and upserts them into PostgreSQL, with durable execution that survives long reconciliation runs.
MongoDB and PostgreSQL, working together
When a document is inserted in MongoDB
insert a flattened row into PostgreSQL
When a document is updated in MongoDB
upsert the matching PostgreSQL row by document ID
When an array field changes in MongoDB
rewrite the child rows in a related PostgreSQL table
When a nightly MongoDB scan runs
reconcile a collection into a PostgreSQL table
Built for how MongoDB and PostgreSQL really work
Document to relational
Flatten nested MongoDB documents and arrays into normalized PostgreSQL tables.
Keyed upserts
Match on the MongoDB document ID so updates land in place and re-runs stay idempotent.
Schedule or change-driven
Stream individual changes or reconcile whole collections on a cron.
Why teams build this on Spojit
There is no native MongoDB to PostgreSQL projection; teams hand-roll CDC scripts or pay volume-based ELT tools. Spojit reads MongoDB directly, flattens documents into your relational schema, and upserts into PostgreSQL, billed by execution time rather than row count.
With Spojit
- Direct Mode projects documents into PostgreSQL with no AI credits for deterministic flattening.
- Durable execution retries database hiccups so a reconciliation never half-finishes.
- Billed by execution time, not per document, which keeps large syncs predictable.
MongoDB + PostgreSQL, answered
How are arrays handled?
Spojit can normalize array fields into child rows in a related PostgreSQL table, or store them as JSONB if you prefer.
Is the sync idempotent?
Yes. Upserts key on the document ID, so re-running the workflow updates rather than duplicates rows.
Incremental or full?
Both. Stream changes as they happen, or run a scheduled full reconciliation of a collection.
What is possible depends on your plan and authorized API access. Some MongoDB and PostgreSQL endpoints and capabilities are gated by the vendor (for example, parts of an API may require a higher tier, and write access can require a custom or add-on connection on an eligible plan), so not every workflow is available on every account from day one. You can request a feature or integration any time, and we will get in touch to figure out how to make it work.
Connect MongoDB and PostgreSQL today
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