Zalando to Databricks integration

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

4.8 on G2
ZalandoSource
WeldWeld
DatabricksWarehouse
Weld · New sync
ZalandoSourceZalandoConnected
Tables to sync

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

  • Extract
  • Load
  • Keep in sync
DatabricksDestinationDatabricksReady
zalando schema
  • zalando.Synced
  • zalando.Syncing
  • zalando.Synced
  • zalando.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 Zalando to Databricks in Weld.
In the app, with the API or an agent.

Weld · New Zalando sync
ZalandoNew connectionZalandoAuthorised
Connection namezalando
AuthorizeOpens Zalando to grant read access
Use cases

Why sync Zalando to Databricks?
Ready for analysis.

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

Build reliable dashboards and reports by querying Zalando data directly in Databricks using SQL or your preferred BI tool.

  • Revenue and order analytics

    Track orders, products, and customer behavior from Zalando in Databricks. Build cohort analyses, LTV models, and inventory forecasting.

  • Centralized data warehouse

    Bring Zalando data into Databricks 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 Zalando to Databricks. Connect BI tools like Looker, Metabase, or Power BI.

Data

What data can you sync?
From Zalando to Databricks.

Weld syncs the objects the Zalando connector exposes into Databricks, 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 Databricks for you.

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

    Claude CodeOpus 5
    >

    Which Zalando tables do we have in Databricks, and which is the largest?

    Looking up what Weld has synced from Zalando.

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

    Technical considerations.
    What to expect.

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

    Start syncing Zalando to Databricks.

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

    ZalandoSource
    WeldWeld
    DatabricksWarehouse