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MySQL on Azure to Google BigQuery integration

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

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4.8 on G2
MySQL on AzureSource
WeldWeld
Google BigQueryWarehouse
Weld · New sync
MySQL on AzureSourceMySQL on AzureConnected
Tables to sync

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

  • Extract
  • Load
  • Keep in sync
Google BigQueryDestinationGoogle BigQueryReady
mysql_on_azure_database dataset
  • mysql_on_azure_database.Synced
  • mysql_on_azure_database.Syncing
  • mysql_on_azure_database.Synced
  • mysql_on_azure_database.Synced

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How it works

How to set up MySQL on Azure to Google BigQuery in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New MySQL on Azure sync
MySQL on AzureNew connectionMySQL on AzureAuthorised
Connection namemysql_on_azure_database
AuthorizeOpens MySQL on Azure to grant read access
Use cases

Why replicate MySQL on Azure to Google BigQuery?
Ready for analysis.

Centralizing your MySQL on Azure data in Google BigQuery lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying MySQL on Azure data directly in Google BigQuery using SQL or your preferred BI tool.

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

  • Database replication for analytics

    Replicate your MySQL on Azure production data to Google BigQuery without impacting database performance. Query historical data without load on your primary database.

  • Centralized data warehouse

    Bring MySQL on Azure data into Google BigQuery 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 on Azure to Google BigQuery. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you replicate?
From MySQL on Azure to Google BigQuery.

Weld syncs the objects the MySQL on Azure connector exposes into Google BigQuery, 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 Google BigQuery for you.

    Connect Claude, Cursor, ChatGPT or your own agent to Weld over MCP. It reads the MySQL on Azure context, finds the tables it needs and runs the query in Google BigQuery.

    Set up the MCP serverClaudeCursorChatGPTGemini
    Claude CodeOpus 5
    >

    Which MySQL on Azure tables do we have in Google BigQuery, and which is the largest?

    Looking up what Weld has synced from MySQL on Azure.

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

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the MySQL on Azure API, loading only new and updated records to minimize data transfer and warehouse costs.
    Change data capture
    For MySQL on Azure, 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 on Azure adds new fields, they're detected and added to the corresponding Google BigQuery 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.
    Resources

    Keep reading.
    Guides, docs and schema.

    Documentation

    MySQL on Azure setup guide

    How to connect MySQL on Azure to Weld, step by step.

    Documentation

    Google BigQuery setup guide

    How to connect Google BigQuery to Weld, step by step.

    Connector

    MySQL on Azure connector

    Everything Weld does with MySQL on Azure.

    Connector

    Google BigQuery connector

    Everything Weld does with Google BigQuery.

    FAQ

    Common questions.
    About MySQL on Azure to Google BigQuery.

    Start syncing MySQL on Azure to Google BigQuery.

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

    MySQL on AzureSource
    WeldWeld
    Google BigQueryWarehouse
    Start for freeTalk to us
    Related

    Related integrations.
    More with MySQL on Azure and Google BigQuery.

    View all