MongoDB + Amazon S3
MongoDB is an open-source, document-oriented NoSQL database management system.
With Erathos, you can integrate MongoDB data into Amazon S3 in just a few minutes. Our platform handles the entire data movement process to your data lake and makes it possible to combine that data with other sources. That way, your time goes toward what really creates value — extracting insights and making data-driven decisions.
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Connect your source
Authenticate your account and you're done. 100+ ready-made connectors, no code required.
Configure the sync
Pick the tables, the schedule and the update type: batch, cursor-based incremental or CDC.
Choose your destination
Load into BigQuery, Redshift, Databricks, PostgreSQL, ClickHouse, Amazon S3 and more.
Which MongoDB data does Erathos sync with Amazon S3?
The integration automatically syncs MongoDB’s main objects:
- Tables and collections — structure, records, and metadata
- Records and documents — raw data with creation and update timestamps
- Indexes — settings and performance metrics
- Schemas — type definitions and relationships
- Audit logs — write, update, and delete operations
- Connections — user and session metadata
Why sync MongoDB with Amazon S3?
In Amazon S3 with Iceberg, your data is stored as Parquet files with support for time travel and schema evolution — ready to be queried with Athena, Spark, Trino, or any query engine in your stack. It’s ideal for low-cost archiving and ML feature stores.
How it works
Erathos connects to MongoDB via the official API and syncs your data incrementally — only new or updated records are processed in each run. You choose the sync frequency (from every 5 minutes to daily), the objects to sync, and the destination in Amazon S3. The sync uses automatic partitioning and Parquet file optimization. You choose the sync frequency, the objects to sync, and the target bucket. Every run is logged with full observability: runtime, processed rows, errors with context, and alerts via Slack or email.
Centralizing MongoDB data in Amazon S3 has never been easier
Erathos is a data ingestion platform built for data and engineering teams. With the MongoDB connector, you automatically centralize MongoDB collections and documents in Amazon S3 — always up-to-date data, with full observability into every run and zero maintenance.
MongoDB data in Amazon S3 in minutes
Ready-to-use MongoDB connector
Connect MongoDB to Amazon S3 and automatically export data. Centralize database data for analysis — without spreadsheets or scripts.
Learn moreFull control over your MongoDB pipelines
Configure the schedule, frequency, and sync type at the table level. Configure partitioning, file format, and write frequency at the table level. The Iceberg format ensures ACID compliance and schema evolution — without full bucket rewrites.
Learn moreEnd-to-end observability
Stop discovering MongoDB issues only when the business team complains. Every run is logged with run time, rows processed, and error context. Automated alerts via Slack, Discord, or email as soon as anything goes off track — so your analytics always stay fresh.
Learn moreBuilding data-driven stories
“Every new source implementation, if I had to do it myself, would take about two or three months. With Erathos, it's done in a few hours. I don't need the skills of a data engineer to generate real value from the company's data.”
“Erathos revolutionized data management at WE. By integrating multiple SaaS tools into a single DW, our technical team now focuses on the core business. We implemented dashboards with insights across every area, enriching our organizational culture and improving our decision-making.”
“We used to have a lot of rework, and now we don't. It's more efficient to work this way. If it's not your core business, hire Erathos. Spend your time modeling your own domain, not someone else's.”
“If I didn't have this infrastructure, I'd need three or four people to do what Erathos does today. I was able to generate real value from my data with a much leaner setup than I thought I'd need. That's the core of building a data-driven culture: the team only uses data when they can trust it.”
“Erathos brought a practical turnaround at CCM. We were able to integrate financial systems, CRM, and processes with BigQuery in just a few clicks, with no technical team required. That gave us a reliable data warehouse that powers automations, dashboards, and even our customer service bots.”
“The robustness and efficiency of Erathos's connectors — whether for Meta, Google, RD Station, or ERPs like Bling and Conta Azul — make the whole process much faster and more reliable. The technical documentation is extremely well put together and intuitive, which makes implementation much easier.”
Other paths for your data
Other destinations for MongoDB
Other sources that land in Amazon S3
CRMs, ERPs, ad platforms and databases, all through the same managed pipeline.
Frequently Asked Questions
Erathos is a data ingestion platform built for reliability, transparency, and control. We help data teams connect tools like MongoDB to their data warehouse — with full observability into every run, zero maintenance, and none of the black-box behavior common in traditional market tools.
Erathos performs incremental or full replication from MongoDB to your target data warehouse, including tables, schemas, and relationships. Sync frequency and schedule are configurable, with no code required.
You can configure sync frequency from every 5 minutes up to once a day, at the table level. Erathos uses incremental sync—only new or updated records are processed on each run, keeping the MongoDB pipeline efficient and Amazon S3 costs predictable.
Erathos automatically detects failures and sends alerts to your email, Slack, or Discord with full context — not just “job failed.” Smart retries handle transient errors, and every run is logged with runtime, rows processed, and error context so your team can debug in minutes, not hours.
Yes. Every Erathos connector includes a 14-day free trial. Connect MongoDB to Amazon S3 and start syncing right away—no credit card required.