Visual pipeline designer
Build data transformations by connecting components on a graphical canvas.
Data integration platform for building, automating, and running visual data transformation pipelines at scale.
CloverDX is a data integration platform for designing, automating, and operating data pipelines. Developers build transformations visually in CloverDX Designer, joining and reformatting data from databases, files, APIs, and applications, then run and schedule them on CloverDX Server with parallel processing. It can also publish jobs as data services through web endpoints. Data engineers, IT teams, and analysts in banking, education, market research, and software companies use CloverDX for complex, high-volume ETL and data migration work.
Verified Reviewer
Manager
“Liked that it was easy to use once set up and simple to customize settings, accounts, and categories. Found that initial setup needed a tutorial.”
Kevin H.
Application Manager
“Liked pulling, joining, and reformatting data from many sources visually, plus strong automation and on-demand web services. Found support responses slow because of the time zone difference.”
Bill B.
Software Engineer
“Liked the data parallelism, data services for building web services, and the XML writer. Found jobflows limited to server projects, metadata management tedious, and outside documentation scarce.”
Raymond B.
Senior Operations Executive
“Liked the full control over data transformation and validation and the speed, which cut hours of work to minutes. Found that support for more file types like Word and PDF was missing.”
Miguel D.
Management Consultant
“Liked the ease of use, simple visualization tools, and helpful customer support. Found that single design licenses were no longer sold, making small projects expensive.”
Janos T.
Head of Sever, Network & Telecomm
“Liked the stability, the wide range of connectors, and the easy-to-use builder. Found that the lack of a TCP socket connector required third-party software as a workaround.”
Jason H.
Senior Developer
“Liked the versatility for reading and writing between almost any sources, and the training course that eased learning. Found some complex components hard to grasp and many features tied to the costly server.”
Tiffany M.
Data Analyst
“Liked being able to map out data pipelines visually using components. Found that a documentation panel inside the interface would be helpful.”
Niladri M.
Sr Systems Engineer
“Liked the well-documented setup, responsive customer service, and easy-to-understand interface. Found that password masking should be added to the product.”
Adriana N.
“Liked its usefulness for processing large daily data volumes and the speed that shortened processing time. Noted no major drawbacks.”
Enterprise data integration
Broad connectors with data quality tools
Large enterprise ETL
Mature platform for complex integration workloads
Visual open-core ETL
Drag-and-drop pipelines with community edition
Cloud warehouse ELT
Pushdown transformations for cloud data warehouses