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.
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.
No credit card required.
Why do data teams choose Erathos for MongoDB?
Ready-to-use MongoDB connector
Connect MongoDB to Amazon S3 and automatically export data. Centralize database data for analysis — without spreadsheets or scripts.
Full 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.
End-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.
Why companies move data from MongoDB to Amazon S3 with Erathos
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.
Our Customers
Trusted by data-driven companies
Simplified data ingestion
1
Select your data source
More than 80 plug-and-play connectors to consolidate data from multiple sources, eliminate time-consuming manual processes, and create a streamlined path forward.
2
Setup your pipeline
Manage your pipeline seemlessly. Select a sync hour, frequency and type at a table/endpoint level.
3
Select your data warehouse
Choose between Amazon S3, BigQuery, Databricks, Redshift and PosgreSQL to centrlize your data
FAQ
What is Erathos, and how can it help my business?
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.
What MongoDB data does Erathos sync to Amazon S3?
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.
How often does Erathos sync data from MongoDB to Amazon S3?
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.
What happens if a MongoDB sync fails?
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.
Is there a free trial available for the MongoDB connector?
Yes. Every Erathos connector includes a 14-day free trial. Connect MongoDB to Amazon S3 and start syncing right away—no credit card required.