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In the field guide

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Redgate provides Database DevOps tools for SQL Server, Oracle, PostgreSQL, and more, covering schema design, migrations, monitoring, and test data. Their solutions support database change management, security, compliance, and automation across the database lifecycle.

The product, beyond the pitch

Editorially reviewed · Sources checked Sep 14, 2026

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A good fit for

  • Database teams needing to automate and govern database changes across multiple platforms including SQL Server, Oracle, PostgreSQL, and MySQL. Organizations requiring compliance, security, and performance monitoring in database operations.
  • Enterprises with large, complex database estates requiring governed database change management at scale and integration with CI/CD pipelines.

Know the limitations

  • Manual deployment of database changes is still common in many teams, creating risks of audit gaps and compliance failures.
  • Without governance, AI-generated database changes can cause degraded performance, pipeline delays, compliance exposure, or data loss.

What you can do

  • Automating and governing database schema changes to reduce deployment time from days to minutes while maintaining compliance and auditability.
  • Monitoring database performance and understanding server health instantly to optimize operations and reduce downtime.

Features

  • Database change management with version control and automation of schema migrations across 60+ databases.
  • Policy-as-code enforcement before merge, schema drift detection, automatically generated rollback scripts, and a complete audit trail.
  • Real-time multi-platform database performance monitoring with alerts and diagnostics.
  • AI-augmented SQL Server development tools for database teams, including schema design to safe deployment.

Integrations

Not confirmed yet.

Platforms & data export

Not confirmed yet.

red-gate pricing

No plans recorded yet.

THE COST FOR YOUR TEAM

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Published plan prices for your team size and usage. Results update as you type. Taxes, currency conversion and unlisted add-ons are excluded, and anything the source did not state is called out rather than guessed.

Known monthly subtotal

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A practical workflow

  1. Set policies every database change must meet to standardize governance.
  2. Create and version every change, whether written by a person or AI agent.
  3. Automatically review every change against policy before merging and detect schema drift.
  4. Deploy deterministic scripts that produce consistent results every time.
  5. Maintain a continuous audit record of what changed, when, and why.

Based on the sources below. Editorial review does not imply hands-on product testing.

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What changed

1 recorded change · latest 9/14/2026

Changes to the facts recorded here, not a live scan of every vendor update. Save this tool to follow updates in your account.

  1. Updated: best for, features, limitations, platforms, sources, summary, use cases, walkthrough

    See recorded changes
    bestFor

    Before: []

    After: ["Database teams needing to automate and govern database changes across multiple platforms including SQL Server, Oracle, PostgreSQL, and MySQL. Organizations requiring compliance, security, and performance monitoring in database operations.","Enterprises with large, complex database estates requiring governed database change management at scale and integration with CI/CD pipelines."]

    features

    Before: ["Automated schema migrations with governance and audit trails across 60+ database engines. Policy enforcement and testing of database changes before merge and deployment."]

    After: ["Database change management with version control and automation of schema migrations across 60+ databases.","Policy-as-code enforcement before merge, schema drift detection, automatically generated rollback scripts, and a complete audit trail.","Real-time multi-platform database performance monitoring with alerts and diagnostics.","AI-augmented SQL Server development tools for database teams, including schema design to safe deployment."]

    limitations

    Before: []

    After: ["Manual deployment of database changes is still common in many teams, creating risks of audit gaps and compliance failures.","Without governance, AI-generated database changes can cause degraded performance, pipeline delays, compliance exposure, or data loss."]

    platforms

    Before: ["Supports SQL Server, Oracle, PostgreSQL, MySQL, Databricks, and 60+ database engines in total."]

    After: []

    sources

    Before: [{"url":"https://www.red-gate.com/","label":"Redgate — Database DevOps tools for SQL Server, Oracle & PostgreSQL"},{"url":"https://www.red-gate.com/products/flyway/","label":"Redgate Flyway: Database Migrations & Governed Change Management | Redgate - Redgate Software"}]

    After: [{"url":"https://www.red-gate.com/","label":"Redgate — Database DevOps tools for SQL Server, Oracle & PostgreSQL"},{"url":"https://www.red-gate.com/products/","label":"All Redgate's tools for database development, deployment, monitoring, and test data management - Redgate Software"},{"url":"https://www.red-gate.com/products/flyway/","label":"Redgate Flyway: Database Migrations & Governed Change Management - Redgate Software"}]

    summary

    Before: "Redgate provides Database DevOps tools for SQL Server, Oracle, PostgreSQL, and more, covering schema design, migrations, monitoring, and test data. Their solutions support database lifecycle management with automation, security, compliance, and AI data readiness."

    After: "Redgate provides Database DevOps tools for SQL Server, Oracle, PostgreSQL, and more, covering schema design, migrations, monitoring, and test data. Their solutions support database change management, security, compliance, and automation across the database lifecycle."

    useCases

    Before: []

    After: ["Automating and governing database schema changes to reduce deployment time from days to minutes while maintaining compliance and auditability.","Monitoring database performance and understanding server health instantly to optimize operations and reduce downtime."]

    walkthrough

    Before: ["Standardize policies every database change must meet. Author and version every change whether human or AI-generated. Enforce policy automatically before merge and catch drift. Deploy deterministic scripts producing consistent results. Audit all changes continuously."]

    After: ["Set policies every database change must meet to standardize governance.","Create and version every change, whether written by a person or AI agent.","Automatically review every change against policy before merging and detect schema drift.","Deploy deterministic scripts that produce consistent results every time.","Maintain a continuous audit record of what changed, when, and why."]

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Sources & research

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