MySQL to Amazon S3 integration

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

4.8 on G2
MySQLSource
WeldWeld
Amazon S3Warehouse
Weld · New sync
MySQLSourceMySQLConnected
Tables to sync

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

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

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How it works

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

Weld · New MySQL sync
MySQLNew connectionMySQLAuthorised
Connection namemysql
AuthorizeOpens MySQL to grant read access
Use cases

Why replicate MySQL to Amazon S3?
Ready for analysis.

Centralizing your MySQL 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 MySQL data directly in Amazon S3 using SQL or your preferred BI tool.

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

  • Database replication for analytics

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

  • Centralized data warehouse

    Bring MySQL 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 MySQL to Amazon S3. Connect BI tools like Looker, Metabase, or Power BI.

Data

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

Weld syncs the objects the MySQL 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 MySQL context, finds the tables it needs and runs the query in Amazon S3.

    Claude CodeOpus 5
    >

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

    Looking up what Weld has synced from MySQL.

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

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the MySQL API, loading only new and updated records to minimize data transfer and warehouse costs.
    Change data capture
    For MySQL, 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 MySQL 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 MySQL to Amazon S3.

    Start syncing MySQL to Amazon S3.

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

    MySQLSource
    WeldWeld
    Amazon S3Warehouse