dbvr
dbvr is a lightweight, standalone CLI tool for running database operations in headless and terminal-first environments. It brings the core capabilities of database management tools to servers, containers, and scripted workflows without any graphical interface. With dbvr, DevOps engineers, DBAs, and backend teams can run SQL scripts, checks, and exports reliably from the command line, whether locally, over SSH, or inside CI/CD pipelines.
Key benefits
One CLI for
Many Databases
dbvr provides a single command-line tool that works across multiple SQL and NoSQL databases. Teams no longer need to install and maintain separate CLIs per database engine, making database workflows easier to standardize and automate across environments.
Lightweight, Fast, and
Script-Friendly
As a standalone binary with no GUI overhead, dbvr starts quickly and uses minimal system resources. It fits naturally into shell scripts and pipelines, helping teams automate database tasks, reduce manual work, and run operations in a predictable, repeatable way.
Built for Headless &
Cloud Environments
dbvr is designed specifically for environments where a GUI is unavailable or impractical, like for servers, containers, CI/CD jobs, and remote hosts. It supports native authentication for AWS, GCP, and Azure databases and works directly with cloud file systems, so scripts and outputs stay inside your cloud infrastructure.
Features
Scripted SQL Execution
Automated Data Exports
CI/CD Pipelines Integration
Cloud-Native Authentication
dbvr executes SQL queries and scripts directly from the command line using saved or scripted connection parameters. Teams can run migrations, validations, and checks in automated workflows without interactive logins or desktop tools.
dbvr can run SQL scripts and export query results in common formats, writing outputs directly to cloud file systems such as S3, GCS, or Azure Storage. This is ideal for scheduled reports, audits, or downstream processing in analytics and data pipelines.
dbvr integrates easily into CI/CD pipelines, containers, and server-side jobs. It enables automated database checks and validations as part of deployments, helping teams catch issues early and keep database operations consistent across environments.
dbvr supports native cloud authentication mechanisms for databases in AWS, GCP, and Azure.
Who is dbvr for?
IT / Platform Teams
- DBA
- DevOps Engineer
- Cloud Engineer
- Site Reliability Engineer
- Infrastructure / Platform Engineer
Development / Data Teams
- Backend Developer
- Data Engineer
- Data Scientist
- QA Engineer
- Full-Stack Developer
Leadership / Business
- CTO
- Head of Data
- Product Owner
- IT Manager
- BI / Analytics Manager
dbvr 26.0
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26.0
26.1
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