MongoDB to Amazon S3 integration

Replicate your MongoDB data into Amazon S3 with Weld. Automatically replicate the tables you choose from MongoDB into Amazon S3, keeping your analytics layer up to date and ready for querying.

4.8 on G2
MongoDBSource
WeldWeld
Amazon S3Warehouse
Weld · New sync
MongoDBSourceMongoDBConnected
Tables to sync

Your own tables, picked when you set up the sync.

  • Extract
  • Load
  • Keep in sync
Amazon S3DestinationAmazon S3Ready
mongodb schema
  • mongodb.Synced
  • mongodb.Syncing
  • mongodb.Synced
  • mongodb.Synced

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How it works

How to set up MongoDB to Amazon S3 in Weld.
In the app, with the API or an agent.

Weld · New MongoDB sync
MongoDBNew connectionMongoDBAuthorised
Connection namemongodb
AuthorizeOpens MongoDB to grant read access
Use cases

Why replicate MongoDB to Amazon S3?
Ready for analysis.

Centralizing your MongoDB data in Amazon S3 lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying MongoDB data directly in Amazon S3 using SQL or your preferred BI tool.

Consolidate data from MongoDB alongside other databases and applications in a single cloud data warehouse for a unified analytical layer.

  • Database replication for analytics

    Replicate your MongoDB production data to Amazon S3 without impacting database performance. Query historical data without load on your primary database.

  • Centralized data warehouse

    Bring MongoDB data into Amazon S3 alongside other sources to create a single source of truth for your organization.

  • Automated reporting

    Replace manual exports and spreadsheet-based reporting with automated pipelines from MongoDB to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you replicate?
From MongoDB to Amazon S3.

Weld syncs the objects the MongoDB connector exposes into Amazon S3, and you choose which tables and fields to include. The connector's docs list what is available.

    Weld MCP server

    Ask your agent.
    It queries Amazon S3 for you.

    Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the MongoDB context, finds the tables it needs and runs the query in Amazon S3.

    Claude CodeOpus 5
    >

    Which MongoDB tables do we have in Amazon S3, and which is the largest?

    Looking up what Weld has synced from MongoDB.

    ●weld·search_available_references
    ⎿raw.mongodb.*
    tables, columns and freshness
    ●weld·get_reference_schema
    ⎿columns, types and nullability
    ●weld·run_query
    ⎿select count(*) from {{raw.mongodb.…}}
    submitted
    ●weld·get_query_status
    ⎿DONE
    ●weld·get_query_result
    ⎿rows returned
    ✓Answered from MongoDB data in Amazon S3
    >Ask about your MongoDB data
    Under the hood

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the MongoDB API, loading only new and updated records to minimize data transfer and warehouse costs.
    Change data capture
    For MongoDB, Weld can use log-based replication (CDC) to capture inserts, updates, and deletes without querying the entire table on every sync.
    Schema handling
    Weld automatically manages schema changes. If MongoDB adds new fields, they're detected and added to the corresponding Amazon S3 tables.
    Data freshness
    Sync frequency depends on your Weld plan. Most connectors support schedules from every 5 minutes up to daily intervals.
    Security
    All data is encrypted in transit (TLS) and at rest. Weld is SOC 2 Type II compliant and supports IP whitelisting for database connections.
    FAQ

    Common questions.
    About MongoDB to Amazon S3.

    Start syncing MongoDB to Amazon S3.

    Set up your MongoDB data pipeline in minutes. No credit card required. Free for 14 days.

    MongoDBSource
    WeldWeld
    Amazon S3Warehouse