Overview
Weld is a complete, modular data platform designed to help organizations ingest, transform, orchestrate, and activate their data. It provides fully autonomous ELT pipelines capable of incremental, full, and change data capture replication from over 300 data sources directly into cloud data warehouses such as BigQuery, Snowflake, Databricks, Redshift, ClickHouse, MotherDuck, and Apache Iceberg. Users can write SQL models directly within Weld, synchronize them from GitHub, or integrate existing dbt projects to automate data transformation workflows.
The platform includes robust orchestration capabilities to run pipelines in defined sequences, with automated retries and detailed run histories. Through reverse ETL capabilities, Weld activates warehouse models by syncing them back to customer relationship management systems, advertising platforms, and internal operational tools with row-level diffing and idempotent upserts. Observability features surface failing syncs and schema drifts immediately, maintaining a complete record of workspace changes and version history.
Weld suits data teams, analysts, and engineers seeking reliable data infrastructure. It offers specialized integration for AI agents through its Model Context Protocol server, enabling tools like Claude, Cursor, ChatGPT, and GitHub Copilot to securely query warehouses, inspect pipeline runs, and build SQL models. Notable integrations include Shopify, HubSpot, Salesforce, Stripe, Google Ads, Meta Ads, TikTok Ads, Mixpanel, PostgreSQL, MySQL, MongoDB, Google Sheets, Excel, Slack, Zendesk, Looker, Power BI, Tableau, and Metabase.
Best for
- Data teams
- Analytics engineers
- AI developers

