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Database Change Automation

Automate database change without losing control

What manual database change costs you

Schema changes ship outside CI/CD

Application code rides pull requests and automated pipelines; schema changes get pasted into a client by hand — breaking the audit chain the rest of your stack worked to build.

Risky SQL reaches production unchecked

An unreviewed migration with a missing index or a locking DDL statement can take a table — and the app on top of it — down. Without automated SQL review, the catch happens in prod, not before.

No record of who changed what

Run a change ad hoc and there's no actor, no diff, no timestamp. Auditors get a spreadsheet, and a rollback means reconstructing history from memory.

How Bytebase automates database change end to end

A governed database change pipeline, not a pile of scripts

Every schema change moves through one governed pipeline — proposed, reviewed, approved, deployed — with the same rigor as your application code.

GitOps change flow

Migrations live alongside application code and merge through your existing VCS pipeline, so a schema change is just another reviewed pull request.

Batched multi-environment rollout

Promote a change from dev to staging to production in one controlled sequence, each environment gated by its own policy.

One workflow across every engine

PostgreSQL, MySQL, SQL Server, Oracle, and 20+ engines deploy through the same pipeline — no per-database tooling to maintain.

Automated SQL review on every change

Every migration is checked against your review policies before it runs, catching unsafe patterns up front instead of in production.

100+ built-in review rules

100+ built-in review rules

Naming conventions, missing indexes, locking DDL, and backward-incompatible changes are flagged automatically before a statement touches the database.

Risk-tiered approvals

DDL and bulk DML route to a human approver automatically; safe, bounded changes stay on the fast path.

Rollback built in

Every change carries its diff and a generated rollback plan, so reverting is a click, not an archaeology project.

Full history and audit trail on every database change

Every change is recorded with actor, statement, and timestamp — a complete, exportable trail without anyone assembling it by hand.

Complete change history

Every migration is logged with who proposed it, who approved it, the exact SQL, and when it ran.

Audit-ready exports

Hand auditors a SOC 2- or ISO-ready record straight from Bytebase — no spreadsheet reconstruction.

Always know the current state

A live schema catalog across every database shows exactly what's deployed, so drift surfaces immediately.

One database change automation platform, controls for every team

Drop-in CI/CD integration

Wire database change into your existing GitHub, GitLab, or Bitbucket pipeline — no bespoke migration runner to build and babysit.

Policy as code

Define review and approval rules once and version them; every team inherits the same guardrails automatically.

Self-hosted, single image

Run it in your own infrastructure as one Docker image; data and credentials never leave your network.

Integrations

Designed to integrate across modern enterprise environments

Bytebase connects to databases, developer tooling, and collaboration platforms to fit naturally into complex, multi-tool enterprise ecosystems.

Integrations Shape
Bitbucket logo
GitHub logo
GitLab logo
MongoDB logo
MySQL logo
Oracle logo
PostgreSQL logo
Redis logo
Snowflake logo
SQL Server logo
Terraform logo
Bitbucket logo
GitHub logo
GitLab logo
MongoDB logo
MySQL logo
Oracle logo
PostgreSQL logo
Redis logo
Snowflake logo
SQL Server logo
Terraform logo
Bitbucket logo
GitHub logo
GitLab logo
MongoDB logo
MySQL logo
Oracle logo
PostgreSQL logo
Redis logo
Snowflake logo
SQL Server logo
Terraform logo
Bitbucket logo
GitHub logo
GitLab logo
MongoDB logo
MySQL logo
Oracle logo
PostgreSQL logo
Redis logo
Snowflake logo
SQL Server logo
Terraform logo

Frequently asked questions

Explore the standard for database development