Iterable to Snowflake integration

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

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

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

  • Extract
  • Load
  • Keep in sync
SnowflakeDestinationSnowflakeReady
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 Snowflake 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 Snowflake?
Ready for analysis.

Centralizing your Iterable data in Snowflake 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 Snowflake using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring Iterable data into Snowflake 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 Snowflake. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Iterable to Snowflake.

Weld syncs the objects the Iterable connector exposes into Snowflake, 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 Snowflake 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 Snowflake.

    Claude CodeOpus 5
    >

    Which Iterable tables do we have in Snowflake, 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 Snowflake
    >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 Snowflake 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 Snowflake.

    Start syncing Iterable to Snowflake.

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

    IterableSource
    WeldWeld
    SnowflakeWarehouse