One governed path instead of four disconnected tools
Most teams end up combining a migration framework, a schema diff tool, a spreadsheet of approvals, and direct database access. Migratrix covers that whole path in one place, with the review and rollback steps built in rather than bolted on.
Three common ways teams manage database change
Each approach solves part of the problem. The gaps are where outages come from.
Migration-script frameworks
Versioned SQL files applied in order, run from CI. Excellent at repeatability and version history. Teams still need somewhere to review impact, gate production, and recover a bad deploy.
Diff-only schema tools
Compare two databases and generate a sync script. Great for spotting drift after the fact. The generated script usually still lands in someone's SQL client to run by hand.
Hand-rolled scripts
SQL passed through tickets, chat, and shared drives, applied by whoever has production credentials. Fast to start, impossible to audit, and the rollback plan is usually a paragraph of prose.
Where the gaps usually are
A view of which stage of a database change each approach covers on its own, without additional tooling or process built around it.
| Stage of a change | Migration framework | Diff-only tool | Hand-rolled SQL | Migratrix |
|---|---|---|---|---|
| Versioned change history | Yes | No | No | Yes |
| Schema drift detection | No | Yes | No | Yes |
| Pre-execution risk analysis | No | Partial | No | Yes |
| Approval gates per environment | Via CI config | No | No | Yes |
| Generated rollback script | Author writes it | No | Author writes it | Yes |
| Audit trail of who ran what | CI logs | No | No | Yes |
| Governed data browsing | No | No | Direct access | Yes |
| Cross-engine model conversion | No | No | Manual | Yes |
What actually changes day to day
Risk analysis runs against the change script and the live schema, so reviewers see dependency and severity signals while they still have the option to say no.
A down script is generated alongside the change rather than written from memory during an incident, so recovery is a decision instead of a scramble.
Engineers work through Explorer with per-environment roles. Production defaults to read-only, and every read and write is attributed to a person.
The Executor runs inside your perimeter and connects outbound only. Database credentials are encrypted on the Executor host and are never stored on the Migratrix platform.
When Migratrix is not the right call
We would rather tell you now than three weeks into a trial.
You have one database and one engineer
If a single person owns the schema and there is no approval step to model, a migration framework in your existing CI is simpler and cheaper. Migratrix earns its place when more than one person needs to agree before a change reaches production.
You need application-level ORM migrations
Migratrix governs SQL change scripts and schema state. It does not replace entity-framework-style model migrations generated from application code, though it can review and promote the SQL those tools produce.
You need continuous replication as a product
Conversion Studio supports change data capture to shorten cutover windows during a migration. If your goal is a permanent streaming replication pipeline between systems, a dedicated CDC platform is a better fit.
Your engine's own design rules out what you need
Some engines simply do not do certain things: Cassandra has no joins or foreign keys, warehouses do not enforce constraints, MongoDB has no fixed schema to diff. The supported databases page lists what each engine rules out, so you can check before you commit.