A production-like SQL Server for every coding agent
Give every agent, developer and CI run its own writable SQL Server clone. Realistic volumes, no clobbering, ready in seconds. Masked, and running entirely inside your network.
Trusted by world class organizations
From your SQL Server to a masked sandbox in three steps
Deploy in your network
Install Baseshift on-prem and point it at production, a replica or staging. Self-hosted, Azure SQL or Amazon RDS. No migration, and your data stays inside your boundary.
Masking happens during the copy
Sensitive columns are anonymized as data streams from the source, so every clone starts masked. No post-copy scrub job.
A clone per agent, per CI run
Each agent task or pipeline run gets its own writable SQL Server in seconds. Run migrations and tests against it, then throw it away.
Your agents scaled. Your SQL Server dev setup didn't.
Coding agents write and test database code in parallel, all day. One shared staging DB, a months-old .bak or a seed script can't keep up with them.
Realistic volumes
Agent-written queries pass on seed data and fall over in production. Missing indexes and N+1 loops only show up at real scale. Clones carry production volumes and distributions, masked.
No clobbering
Every agent, developer and PR gets its own writable SQL Server. Run DDL, migrations and deletes in parallel without stepping on each other or on shared staging.
Seconds, at agent scale
Clones start in seconds, so they keep up with as many agents as you run and fit inside every CI pipeline. No restores, no waiting on a DBA.
See it on your own schema.
Request a demoOne clone per task, wherever the work happens
Agentic development
Give each coding agent its own SQL Server to work against. Agents run migrations, write queries and retry on production-like data, in parallel, without touching anything shared.
Test in CI
Start a clone per pipeline run, apply migrations and run integration tests against realistic volumes. Catch slow queries and risky migrations before they merge.
Debug real issues
Reproduce a production bug on a masked clone with the same data shape. Dig in, break it, start a fresh one, all without asking for production access.
Real SQL Server. Not an emulation.
Clones run genuine SQL Server, so T-SQL, stored procedures and your tooling behave exactly as they do in production.
Versions you run
SQL Server 2019 and 2022.
Any source
Production, a replica or staging. Self-hosted, Azure SQL Managed Instance or Amazon RDS.
Schema intact
Tables, views, stored procedures, functions and triggers come through unchanged.
Full T-SQL, real writes
Works with sqlcmd, SSMS, EF Core, Flyway and DbUp. Clones are writable instances, not read-only views.
Your data never leaves your network
SQL Server support runs on-prem, in your cloud account or datacenter. Copies, masking and clones all happen inside your boundary.
Built for scale
Spin up as many clones as you have agents and throw them away when they're done. Use them in CI too: one clone per pipeline run, torn down when the job ends.
Get early access to SQL Server support
We're onboarding a small group of SQL Server teams, with a direct line to our engineers.
Using Postgres, MySQL or MongoDB? Get started free →
FAQs
We're onboarding SQL Server teams one by one. Expect fast iteration and a direct line to our engineers.
SQL Server 2019 and 2022, self-hosted or managed (Azure SQL Managed Instance, Amazon RDS).
Point Baseshift at a replica or secondary to keep sandbox traffic off production. That's the recommended setup.
A read-only login on the source. Nothing in the deployment can write to production.
Column-level rules and policy templates, with optional automated PII scanning.
No. SQL Server support runs on-prem, so the copy, masking and clones all stay inside your network. Table contents never leave it.
Yes. Postgres, MySQL, MongoDB and DocumentDB are generally available, and you can get started for free at app.baseshift.com.