Claimlane to Databricks integration
Connect Claimlane to Databricks and automatically sync your application data. Weld extracts data from Claimlane, loads it into Databricks, and lets you transform the data using SQL or dbt, no custom scripts required.
Source
WarehouseSourceClaimlaneConnected- 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
DestinationDatabricksReady- 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
Trusted by data and AI teams
How to set up Claimlane to Databricks in Weld.
In the app, with the API or an agent.
New connectionClaimlaneAuthorisedWhy sync Claimlane to Databricks?
Ready for analysis.
Centralizing your Claimlane 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 Claimlane data directly in Databricks using SQL or your preferred BI tool.
Centralized data warehouse
Bring Claimlane 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 Claimlane to Databricks. Connect BI tools like Looker, Metabase, or Power BI.
What data can you sync?
Every Claimlane table, keys intact.
Weld syncs the objects the Claimlane connector exposes into Databricks, and you choose which tables and fields to include. The connector's docs list what is available.
- 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
Ask your agent.
It queries Databricks 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 Databricks.
How many supplier_brand rows do we have per supplier? Use our Claimlane data in Databricks.
Reading the Claimlane context first, so the query uses the right tables and keys.
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 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.
Keep reading.
Guides, docs and schema.
Common questions.
About Claimlane to Databricks.
Start syncing Claimlane to Databricks.
Set up your Claimlane data pipeline in minutes. No credit card required. Free for 14 days.
SourceWarehouse
