Security and compliance
Ensure data security and compliance with monitoring and change traceability
Redgate Flyway Enterprise
Database change control for AI and the agentic era
Redgate Flyway Enterprise embeds guardrails in the database layer, so every change, whether human-written or AI-generated, is policy-checked, deterministic and traceable, with the same checks and balances as your application code.
The problem
AI is generating database changes faster than teams can keep up with
AI makes development faster - but without governance, bad AI-generated database change is not a failed build but degraded performance, pipeline delays, a compliance exposure, or even data loss and recovery measured in hours.
Flyway Enterprise governs every database change before it reaches production - policy-checked, tested and deterministic. Teams spend less time reviewing and more time shipping.
The review bottleneck
More AI output. Same reviewer capacity.
AI-heavy teams are merging 98% more PRs, with 1.7x more issues per PR. That review burden lands on the team leads, senior architects, and DBAs responsible for what reaches production.
CodeRabbit, 2025
Faros AI, 2025
The ungoverned last mile
Application code ships through CI/CD. Database changes still don't.
39% of teams still deploy database changes manually. While everything else in the pipeline is standardized and automated, the database remains the last ungoverned step in an otherwise automated pipeline, inconsistent across teams, dependent on tribal knowledge, invisible to the platform.
Redgate State of the Database Landscape 2026
The blast radius problem
A bad database change isn't a failed test. It's a production incident.
When ungoverned out-of-process database changes reach production, the consequences aren't a broken build and a Git revert in the same way as application code. They're corrupted data, a broken audit trail, and long recovery times, often measured in hours. In addition, AI-generated database migrations risk wider quality variance and a wider blast radius when they fail. If your team is using AI to increase speed of delivery, there has never been a more important time to govern database changes.
1.7xmore issues per PR in AI-generated code than human-written
CodeRabbit, 2025
39%of teams still deploy database changes manually
Redgate State of the Database Landscape 2026
“Lacking foundational capabilities can completely neutralize any gains from AI. Speed without stability is not elite performance.”
What Flyway Enterprise does
Governance built into the pipeline
Flyway Enterprise holds database changes to the same testing and auditing standards as application code. Every change is version controlled for traceability and auditability. Policy checks run automatically before code merges. Change scripts are deterministic. Any changes that don’t match the expected state (drift) is caught before it causes an incident in production. The controls run in the pipeline at CI/CD speed. Governance doesn’t slow teams down, it makes it safer to go faster.
Speed
Database change that keeps pace with AI delivery
When the database is the last manual step in an otherwise automated pipeline, it becomes the limit for how fast AI delivery can go. Flyway Enterprise brings database changes into the same version-controlled, automated and tested workflow as application code. The database change that used to wait in a queue for days now ships in minutes.
“Customers cut deployment times by 58% on average - and by as much as 98% for one Fortune 250 financial institution, which went from 12-24 hours down to 20 minutes.”
Safety
Every change is policy-compliant before it merges
Flyway Enterprise’s policy checks run automatically on every database change, AI-generated or human-written, before it reaches production. Bring your standards together with Flyway Enterprise’s out-of-the-box policy library to enforce consistent standards and compliance policies across every team and environment. Developers don’t need to remember every policy when Flyway Enterprise highlights policy violations before code ships.
“One of the key things is developer confidence and enabling them to take risks because the pipeline is going to catch it.”
Auditability
A complete record of every change, already there when you need it
Every database change is version-controlled, timestamped, and traceable from commit to production. Root cause analysis takes minutes. When an auditor asks what changed, when, and who approved it, the answer is already there, without anyone having to reconstruct it manually.
“Lacking foundational capabilities can completely neutralize any gains from AI. Speed without stability is not elite performance.”
Redgate Flyway supports 60+ database engines
Advanced capabilities are available for SQL Server, Oracle, PostgreSQL, MySQL and Databricks.
Capabilities at a glance
Schema-as-code
Every schema change is version-controlled in plain SQL alongside application code. No proprietary language. Your existing Git workflow, extended to cover the database.
Policy-as-code
95+ rules enforced automatically on every change in CI. Redgate-authored library of policies. Fully customizable. Non-compliant changes blocked before they ship.
Deterministic deployment
Generates dependency-aware migration scripts built on Redgate’s industry-leading comparison engine. Same output every time, regardless of what generated the change - human or AI. No hand-writing, no interpretation, no variance between environments.
Drift detection and resolution
Continuously monitor for divergence between expected and actual state. Catches hotfixes, manual edits, and AI-generated changes that bypassed the pipeline before a production incident occurs. Auto-generated resolution scripts and faster root cause analysis get teams and environments back on track.
Script validation
Every script is built and verified before going to production. If the SQL is invalid, missing a column, breaks a constraint, or has a syntax error, it fails early before causing an issue on Production or delaying a planned release.
Undo scripts
Auto-generated rollback for every versioned migration. When a schema change can be quickly reversed with an Undo script, the code is already there and waiting.
Change reports
A complete view of what will change on the target before any migration runs. The DBA review packet, generated automatically, showing them at a glance how many objects are added, modified, deleted, and drilling-down into more details.
Structured logging and reporting
Detailed structured logs for every change, and regulated release processes. Every migration timestamped and traceable from commit to production.
What’s next?
See all the latest capabilities and find out what’s next on the Flyway roadmap.
See the roadmap
New
Flyway MCP Server
The bridge between AI coding assistants and governed database change
The Flyway MCP Server connects Claude Code, GitHub Copilot, Cursor, Google Gemini and other AI tools directly into Flyway Enterprise's workflows . AI-generated database changes are automatically version-controlled, policy-checked, and deployed via deterministic scripts that produce the same output every time, regardless of what generated the change. Every change is fully auditable from commit to production. What passes in staging reaches production in exactly the same state.
For teams running agentic AI in their development workflow, this is how you get both: the speed AI delivery demands and the stability your production environment requires.
How it works
The governed agentic workflow
Flyway Enterprise gives teams the solution to deliver the gold standard for AI-accelerated database pipelines. An AI agent takes a task, edits the schema model, and calls Flyway Enterprise via the MCP Server.
Flyway Enterprise generates deterministic, dependency-aware scripts, runs them through CI quality gates, and deploys them with a complete audit trail. The same pipeline governs human-authored and AI-generated changes without exceptions.
Developer
SQL + app code changes
AI assistant
Edits schema model only
Flyway MCP Server
Flyway generates migration script
Deterministic versioned and undo scripts
Commit and PR raised
Human reviews and approves
CI / CD
Validate migrations, code quality checks, unit tests
Check and drift reports
Impact and drift reports generated before release, optional human review
Deploy
Auditable, versioned, deterministic deployment
Every change, human- or AI-authored, flows through the same governed pipeline: deterministic script generation, human review, automated CI checks, and auditable deployment.
The evidence
What it looks like when teams ship faster and govern better
Across our case study customers in finance, global pharmaceutical and high-growth technology industries, the pattern is consistent: governed database change makes delivery faster, more reliable, and more controlled - not slower.
Deployment cycle times
| Customer | Before | After | Reduction in change lead time |
|---|---|---|---|
| Reported average across 4 customer case studies with quantitative before/after data | 58% | ||
| Fortune 250 Financial | 12–24 hours | 20 minutes | 98% |
| US Credit Union | ~1 week | 4-hour window | 98% |
| Masterminds Group | 90 minutes | 6 minutes | 93% |
| Global Pharma | 5 days | 1 day | 80% |
90%reduction in operational support requests after adopting a governed deployment pipeline
Verizon Connect, Redgate Flyway case study
+1,000additional database changes shipped per year, value that previously couldn't reach customers
Verizon Connect, Redgate Flyway case study
“Before Flyway, the team regularly relied on backup-and-restore cycles and manually reapplied scripts when deployments broke. A structured, automated pipeline eliminated that pattern entirely.”
Fits your stack
Plain SQL. Your CI/CD systems. Governed database changes running in days
Flyway Enterprise plugs into your existing pipeline as a step that covers the database. Whether you're running GitHub Actions, Azure DevOps, or a custom CI setup, Flyway Enterprise works as a plugin step, not a replacement for the workflows your teams know and trust.
60+databases supported, including SQL Server, Oracle, PostgreSQL, MySQL, and their cloud variants
26+yrsof database expertise in Redgate, with technology proven in production since 2000
92%of the Fortune 100 rely on Redgate for solutions to manage their most critical database infrastructure
Daystypical time to get a proof of concept running in your environment
The numbers CTOs and CIOs needs to see
Quantified downtime exposure, deployment-time savings, recovered engineering capacity, and the compliance evidence to back them. Everything you need to escalate the conversation and make the business case for governed database change.
See the business case
We're here to help
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Whether you want more details about Redgate Flyway, a demo or information on best practices – get in touch with us.
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