Discourse to Amazon S3 integration

Connect Discourse to Amazon S3 and automatically sync your customer support data. Weld extracts data from Discourse, loads it into Amazon S3, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
DiscourseSource
WeldWeld
Amazon S3Warehouse
Weld · New sync
DiscourseSourceDiscourseConnected
Tables to sync

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

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

Trusted by data and AI teams

  • Flatpay
  • Holafly
  • eComplete
  • Dishoom
  • Danish Endurance
  • Female Invest
  • Son of a Tailor
  • Onomondo
  • Medik8
  • Pas Normal Studios
How it works

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

Weld · New Discourse sync
DiscourseNew connectionDiscourseAuthorised
Connection namediscourse
AuthorizeOpens Discourse to grant read access
Use cases

Why sync Discourse to Amazon S3?
Ready for analysis.

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

  • Support metrics and SLA tracking

    Monitor ticket volume, resolution times, and satisfaction scores from Discourse in Amazon S3. Correlate support data with product and customer data.

  • Centralized data warehouse

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

Data

What data can you sync?
From Discourse to Amazon S3.

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

    Claude CodeOpus 5
    >

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

    Looking up what Weld has synced from Discourse.

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

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the Discourse API, loading only new and updated records to minimize data transfer and warehouse costs.
    Schema handling
    Weld automatically manages schema changes. If Discourse 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 Discourse to Amazon S3.

    Start syncing Discourse to Amazon S3.

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

    DiscourseSource
    WeldWeld
    Amazon S3Warehouse