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Claimlane to Apache Iceberg integration

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

Start for freeView setup guide
4.8 on G2
ClaimlaneSource
WeldWeld
Apache IcebergWarehouse
Weld · New sync
ClaimlaneSourceClaimlaneConnected
Tables to sync
  • b2c_ticket51 cols
  • b2b_ticket23 cols
  • b2c_ticket_product21 cols
  • b2b_ticket_product_data_source_tag10 cols
  • b2c_ticket_product_data_source_tag10 cols
  • retailer10 cols
  • Extract
  • Load
  • Keep in sync
Apache IcebergDestinationApache IcebergReady
claimlane schema
  • claimlane.b2c_ticketSynced
  • claimlane.b2b_ticketSyncing
  • claimlane.b2c_ticket_productSynced
  • claimlane.b2b_ticket_product_data_source_tagSynced
  • claimlane.b2c_ticket_product_data_source_tagSynced
  • claimlane.retailerSynced
Claimlane tables
27
fields, typed
250
agent context included
MCP

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How it works

How to set up Claimlane to Apache Iceberg in Weld.
In the app, with the API or an agent.

Setup guideAPI guideMCP docs
Weld · New Claimlane sync
ClaimlaneNew connectionClaimlaneAuthorised
Connection nameclaimlane
AuthorizeOpens Claimlane to grant read access
Use cases

Why sync Claimlane to Apache Iceberg?
Ready for analysis.

Centralizing your Claimlane 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 Claimlane data directly in Apache Iceberg using SQL or your preferred BI tool.

  • Centralized data warehouse

    Bring Claimlane 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 Claimlane to Apache Iceberg. Connect BI tools like Looker, Metabase, or Power BI.

Schema

What data can you sync?
Every Claimlane table, keys intact.

Weld syncs the objects the Claimlane connector exposes into Apache Iceberg, and you choose which tables and fields to include. The connector's docs list what is available.

Open the schema explorer
All 27 tables
  • b2c_ticket
  • b2b_ticket
  • b2c_ticket_product
  • b2b_ticket_product_data_source_tag
  • b2c_ticket_product_data_source_tag
  • retailer
  • supplier
  • b2c_ticket_product_part
  • b2c_ticket_data_source_tag
  • b2b_ticket_product
  • b2c_ticket_product_property
  • b2c_ticket_product_refund
  • b2c_ticket_shipping_line
  • supplier_brand
  • b2b_ticket_product_identification
  • b2b_ticket_product_brand_tag
  • b2b_ticket_product_internal_supplier_status
  • b2b_ticket_product_id
  • b2b_ticket_product_tag
  • supplier_brand_product_identification
  • b2c_ticket_package_number
  • raw_b2b_product_data
  • raw_b2b_workload_data
  • raw_b2c_agent_data
  • raw_b2c_product_data
  • raw_b2c_product_part_data
  • raw_b2c_workload_data
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 Claimlane context, finds the tables it needs and runs the query in Apache Iceberg.

Set up the MCP serverClaudeCursorChatGPTGemini
Claude CodeOpus 5
>

How many supplier_brand rows do we have per supplier? Use our Claimlane data in Apache Iceberg.

Reading the Claimlane context first, so the query uses the right tables and keys.

●weld·search_available_references
⎿raw.claimlane.supplier_brand
raw.claimlane.supplier
+ 25 more Claimlane tables
●weld·get_reference_schema
⎿supplier_brand · 7 columns
joins supplier on supplier_id
●weld·run_query
⎿select j.id, count(*) from {{raw.claimlane.supplier_brand}} s
join {{raw.claimlane.supplier}} j on s.supplier_id = j.id
group by 1
submitted
●weld·get_query_status
⎿DONE
●weld·get_query_result
⎿rows returned
✓Answered from Claimlane data in Apache Iceberg
>Ask about your Claimlane data
Under the hood

Technical considerations.
What to expect.

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

Keep reading.
Guides, docs and schema.

Documentation

Claimlane setup guide

How to connect Claimlane to Weld, step by step.

Documentation

Apache Iceberg setup guide

How to connect Apache Iceberg to Weld, step by step.

Schema

Claimlane schema explorer

Browse all 27 tables and 250 fields.

Connector

Claimlane connector

Everything Weld does with Claimlane.

FAQ

Common questions.
About Claimlane to Apache Iceberg.

Start syncing Claimlane to Apache Iceberg.

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

ClaimlaneSource
WeldWeld
Apache IcebergWarehouse
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Related

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