Iterable to Apache Iceberg integration

Connect Iterable to Apache Iceberg and automatically sync your marketing platform data. Weld extracts data from Iterable, loads it into Apache Iceberg, and lets you transform the data using SQL or dbt, no custom scripts required.

4.8 on G2
IterableSource
WeldWeld
Apache IcebergWarehouse
Weld · New sync
IterableSourceIterableConnected
Tables to sync

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

  • Extract
  • Load
  • Keep in sync
Apache IcebergDestinationApache IcebergReady
iterable schema
  • iterable.Synced
  • iterable.Syncing
  • iterable.Synced
  • iterable.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 Iterable to Apache Iceberg in Weld.
In the app, with the API or an agent.

Weld · New Iterable sync
IterableNew connectionIterableAuthorised
Connection nameiterable
AuthorizeOpens Iterable to grant read access
Use cases

Why sync Iterable to Apache Iceberg?
Ready for analysis.

Centralizing your Iterable data in Apache Iceberg lets you join it with other data sources for cross-platform analytics and deeper insights.

Build reliable dashboards and reports by querying Iterable data directly in Apache Iceberg using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring Iterable data into Apache Iceberg 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 Iterable to Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Iterable to Apache Iceberg.

Weld syncs the objects the Iterable connector exposes into Apache Iceberg, 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 Apache Iceberg for you.

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

    Claude CodeOpus 5
    >

    Which Iterable tables do we have in Apache Iceberg, and which is the largest?

    Looking up what Weld has synced from Iterable.

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

    Technical considerations.
    What to expect.

    Incremental syncing
    Weld uses incremental syncing where supported by the Iterable API, loading only new and updated records to minimize data transfer and warehouse costs.
    Schema handling
    Weld automatically manages schema changes. If Iterable adds new fields, they're detected and added to the corresponding Apache Iceberg 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 Iterable to Apache Iceberg.

    Start syncing Iterable to Apache Iceberg.

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

    IterableSource
    WeldWeld
    Apache IcebergWarehouse