CloverDX Data Integration Platform

Data integration software built for organizations that want to automate pipelines while still letting business users touch the data directly, this platform is explicitly not SaaS. It deploys in the cloud, on premise, or via Docker, running wherever an organization's infrastructure already sits, and serves three distinct roles at once: data engineers building automated pipelines, business experts working through self-service tools, and data stewards handling master data management and data quality.

The toolset splits by role rather than offering one generic interface. A central runtime and orchestration hub, called Server, handles all data operations, while Designer is the desktop IDE where developers build ETL jobs through full code or no-code transformations with built-in debugging and mapping. Wrangler gives non-technical users a web-based, self-service data preparation interface. On the AI side, an Assistant acts as an agentic build partner inside Designer for engineers, and an MCP Server connects any MCP-capable AI client to a running instance. MDM and stewardship features cover reference data management, alongside named solution areas for on-premise and hybrid ETL, data onboarding, and application integration.

Prospective users can test the full feature set through a 45-day trial before settling on a deployment model. Because the system is self-hosted, teams keep pipelines running on infrastructure they control, whether that means cloud servers, on-premise hardware, or containerized Docker setups, instead of routing data through a third-party layer.