A fresh DB for every PR
Test migrations on real masked data before they bite. Source from production, a read replica, or staging.
A database for every PR
Fresh clone per pipeline
Every PR gets its own writable, production-like database — no shared staging fights.
Test migrations safely
Run schema changes on real masked data before they hit production.
Kill the staging queue
Clones spin up in seconds and shut down when the job is done — no waiting on a shared env.
Baseshift Dubhub
Provision a fresh masked database per CI job or PR — then tear it down automatically when the pipeline finishes.
Baseshift Guard
Baseshift Guard identifies issues before they reach production, equips developers and AI agents with guardrails for safe, rapid development, and streamlines workflows for DBAs, security, and compliance.
Trusted by developers
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Baseshift opened up ways to test our code at scale, with real data; drastically changing the way we fix bugs and build new features.
Baseshift makes it safe for our AI agents to run real workflows on production-like data, removing the barriers to fast agentic development
Before Baseshift, the cost of running multiple environments was a non-starter. Now it’s just part of our workflow - powering demo and CI/CD environments at scale.
Works with the databases you already run
Build faster with production-like data
Each developer can work on their own instance
Speeding up development and reducing context switches
Instant, fresh, masked database copies
Spun up in seconds with just the data you need, anonymized and audited
Your entire database environment managed in one system
Manage snapshots across multiple databases, ensuring consistent data masking throughout
Your data is available where you need it
Run clones locally, connect remotely, or deploy within your K8s environement. Baseshift fits into your workflow
Isolated environments for AI agents
Move fast without risking production
See Every Query, Clearly
Gain insight into the actual SQL queries being executed, regardless of the ORM used
See production issues before they happen
Preemptively spot and address potential issues, from backward compatibility to system-wide impacts