Wayfare is a data operations platform that unifies data integration, transformation, governance, and activation in a single, federated hybrid solution. It enables enterprises to manage data across their existing warehouses with built-in dbt support, column-level lineage, and bank-grade security controls. The platform supports Snowflake, Databricks, PostgreSQL, and MotherDuck, with no data-volume-based pricing.
Funding
Funding not disclosed
Founders
Product
Problem
Enterprises struggle to manage data across fragmented systems, facing high costs and complexity when moving data between sources, warehouses, and analytics tools. Traditional data integration approaches often require significant custom development, force data movement across the internet, and lack the governance and lineage controls needed for compliance in regulated industries.
Solution
Wayfare provides a unified DataOps platform that brings data integration, transformation, governance, and activation into a single, federated hybrid solution. The platform allows organizations to install an agent wherever their data resides, enabling local data movement without sending sensitive information across the internet. Wayfare includes built-in dbt Core™ and a VS Code editor for GitOps-based transformation, along with automated data quality checks, column-level lineage tracking, and enterprise-grade security controls. The platform's Reverse ETL capabilities activate warehouse data for BI, ML, and AI use cases in minutes, while its governance framework applies enterprise policies at scale without blocking productivity.
Target Audience
Primary customers are enterprise data, IT, finance, and compliance teams in regulated industries such as financial services, pharmaceuticals, and the public sector, as well as organizations managing post-acquisition data integration.
Features
- Federated hybrid architecture with local data movement via installable agents, avoiding internet-based data transfer
- Built-in dbt Core™ and VS Code editor for version-controlled, GitOps-based data transformation
- Column-level and table-level data lineage tracking across all data touchpoints
- Bank-grade security and privacy controls including bring-your-own secret manager, credentials passthrough, and audit logs
- Reverse ETL data activation for BI, ML, and AI workflows
- Support for Snowflake, Databricks, PostgreSQL, and MotherDuck warehouses
- Custom connector development included in subscription plans
- No data-volume-based pricing; only compute costs for running the agent