dVcmdt

dVcmdt is an open‑source command‑line utility designed to facilitate data transformation and migration across various database platforms. It was first released in late 2018 by the DataVenture Technology Group, a company specializing in integration solutions for enterprises. The acronym “dVcmdt” stands for “Data Volume Command Tool,” reflecting its focus on large‑scale data operations.

The core functionality of dVcmdt is its ability to read source data from multiple formats—including SQL dumps, CSV files, and JSON streams—and transform it according to user‑defined mapping rules before writing it to target systems such as MySQL, PostgreSQL, or MongoDB. The tool employs a declarative configuration language based on YAML, allowing administrators to specify source fields, transformation logic, and destination schemas in a concise, human‑readable format.

Performance is a key design goal. dVcmdt processes data in parallel streams, utilizing all available CPU cores on the host machine. By default, it uses a chunk‑based approach that can be tuned with flags to adjust memory footprint and thread count. Benchmark tests published by the community show that dVcmdt can migrate several gigabytes of data per minute on commodity hardware.

In addition to core migration, dVcmdt offers several ancillary features. It can perform inline data validation, apply conditional logic to filter records, and generate detailed logs and metrics in JSON or plain text. The utility also includes a built‑in scheduler that allows jobs to be queued and executed automatically at specified intervals, which is useful for periodic ETL pipelines.

The project is released under the Apache License 2.0 and is hosted on GitHub, where contributors submit pull requests for new database adapters and enhanced transformation functions. A companion website provides documentation, example projects, and a forum for community support. The dVcmdt team maintains regular releases, with the latest version as of early 2026 adding support for Oracle and Microsoft SQL Server as first‑class destination targets.