Everything to ship database changes safely
One platform with integrated capabilities that cover the lifecycle of a database change from exploration to promotion to rollback.
All capabilities, one platform
Every tool your team needs to explore, approve, and promote database changes with confidence.
Explorer
Browse tables, run safe CRUD, preview rows, and inspect production without direct raw access.
Migration Flow
Model approvals, validation, rollback, and environment promotion in one place.
Compare & Sync
See schema and data differences clearly and generate controlled sync scripts.
Migration Studio
Analyze sources, draft target models, preview schema, and run one-time or CDC migrations with validation.
GitOps Integration
Connect migrations to GitHub or GitLab review workflows and merge events.
AI Query Generator
Generate SQL from natural language with built-in risk analysis.
MCP for AI tools
Give approved assistants a secure remote MCP connection to Migratrix workspaces, migrations, risk analysis, and operational actions.
Fast, safe database viewing
Browse and query any environment with guardrails that match your team's access level, no raw production access needed.
Create, read, update, and delete rows with environment-aware protections. PROD defaults to read-only; edits require explicit permission.
Grant roles per environment.. admin on DEV, viewer on PROD. Every action is logged with who, what, and when.
Narrow queries and action auditing out of the box without extra configuration.
Ask questions in plain English and get SQL. The AI Query Generator turns your intent into safe, runnable queries against your schema.
Pipelines from DEV to PROD
Model your full deployment pipeline with approvals, pre-flight validation, and automated rollback generation all in one place.
Run scripts on lower environments, promote upstream with one approval step. No manual SSH, no copy-paste SQL.
Single or multi-party approvals for QA and PROD stages with a complete audit trail of who approved what and when.
Down scripts are pre-generated for every migration. A bad deploy becomes a one-click fix.
A flow can contain any number of stages. from simple DEV to PROD to full pipelines with QA, staging, and custom environments.
Schema + data drift, eliminated
Cross-engine schema diff that understands SQL dialects. See exactly what changed and generate reversible, order-safe sync scripts.
Tables, indexes, constraints human-readable diffs across any two environments.
Compare selected datasets and surface drift quickly. Know which rows differ before promoting.
Create idempotent scripts to align target with source in one click reversible and order-safe.
Row-level comparison across tables. See inserted, updated, and deleted rows between source and target before syncing.
Git-backed migrations
Store migrations as SQL files in your repository. Migratrix creates PRs, syncs on merge, and tracks what is applied.
Track SQL changes in GitHub or GitLab while keeping database delivery visibility inside Migratrix.
Create pull requests from Migratrix and review them in the Git workflow your team already uses.
Import migrations as soon as PRs are merged so execution can begin in the configured flow.
Migratrix in your assistant
Use the Migratrix MCP connector from developer tools that support Model Context Protocol, with authentication and confirmation gates built in.
The installer signs the user in, detects supported clients, and writes the local MCP configuration for Claude Desktop, Cursor, Codex, Windsurf, and Continue.
Every MCP request uses the user's Migratrix bearer token, matching the same access boundary as the platform APIs.
Mutating tools such as approve, reject, and execute require explicit confirmation so assistants can help without silently changing production state.
npx migratrix-setuphttps://mcp.migratrix.com/mcpModel cross-database moves before they run
Migration Studio is built for moves like MongoDB to MySQL, PostgreSQL to Snowflake, or SQL Server to PostgreSQL, where the hard part is designing the target model and field mapping before execution.
Profile the selected source database, discover collections or tables, infer relationships, count records, and convert the source into a canonical model for planning.
Generate a draft target model for the destination engine, such as turning nested MongoDB documents into normalized MySQL tables or preserving selected fields as JSON.
Rename fields, change logical types, ignore fields, force JSON fallback, split nested objects into child tables, and preview the generated schema before anything runs.
Choose one-time full load or CDC, stream live progress, track written and rejected records, inspect rejected samples, and validate each target entity after execution.
Up in minutes, not weeks
Connect, configure, and start promoting safely in three steps.
Connect databases
Register DEV, QA, and PROD connections Postgres, MySQL, SQL Server. Credentials stay encrypted and never leave your network with the on-prem agent.
Define flows
Model your pipelines DEV → QA → PROD. Set required approvers per stage, configure RBAC per environment, and turn on rollback generation.
Promote with confidence
Write SQL once. Run in DEV, review diff, get approvals, promote upstream. Rollback scripts are pre-generated bad deploy becomes a one-click fix.