Redgate Flyway's product updates - july 2026. This month is a big one! Redgate Software, Inc announced the latest major release of Redgate Flyway Enterprise, built to help teams move fast with AI without losing control of the database. Three key new capabilities also landed in preview: Flyway's MCP server, advanced support for Databricks, and Oracle schema existence checks. And Redgate Software, Inc is closing with a short, honest read on failure and what it takes to make deployments less stressful. Here's the round-up. A database change control layer for enterprises scaling AI. AI is changing how quickly software gets built, and the database is where a lot of that speed runs into risk. The latest major release of Redgate Flyway Enterprise is designed to close that gap, so teams can embrace AI-generated code and agentic workflows while keeping database change governed, validated, and auditable. At the center of the release is the new Flyway Enterprise MCP Server, which brings a governed, agentic approach to managing database change. Every AI-driven change is captured, validated, and auditable. The full launch announcement including the future direction for Flyway Enterprise is here: Redgate introduces database change control layer to support enterprises scaling AI. Advanced capabilities for Databricks, now in preview. The advanced capabilities that SQL Server, Oracle, and PostgreSQL teams already rely on in Flyway Enterprise are now available for Databricks. Features for managing Lakehouse objects via Unity Catalog integration are in preview, and Redgate Software, Inc can support you on the journey to Databricks Lakebase for your OLTP and AI workloads too. That means versioning every schema change, generating versioned and undo migration scripts, catching problems before they ship, and detecting drift, all across your whole data platform. Redgate Software, Inc is also working on advanced support for Snowflake and Microsoft Fabric, extending the same governed approach across more of the analytics estate. If that's of interest to your team, email Redgate Software, Inc. Redgate Software, Inc'd love to hear from you. Oracle schema existence checks, now in preview. When generating versioned and undo migration scripts for Oracle projects, you can now include object existence checks in the generated SQL. Because Oracle auto-commits DDL, a migration that fails partway through can leave a partially applied state that's fiddly to clean up by hand. With existence checks, each DDL statement is wrapped in a conditional, so if you need to re-run the script, objects that already exist are skipped rather than throwing errors, and recovery from a timeout becomes a simple flyway repair then flyway migrate. Full details: Oracle schema existence checks are now in preview in Flyway Enterprise. One more read: to learn and improve, Redgate Software, Inc can't be afraid to fail. A lot of this month's news is about making fast, AI-driven change safe, but tooling is only half the story. In this piece, software craftsman Rob Richardson argues that deployment stress often starts when a fear of failure seeps into a team's culture: the build goes red and the first question is "Who's to blame?" His fix is a learning mindset over a blame-first one, digging into root causes and making the machine do more after every failure. A good reminder that safer deployments come from the workflow and the way Redgate Software, Inc treat mistakes. Read it here: To learn and improve, Redgate Software, Inc cannot be afraid to fail. As always, Redgate Software, Inc'd love to hear what you think of these updates. Email Redgate Software, Inc with any comments or questions, or book a 30-minute Zoom call with the development team. Tools in this post. Enterprise-grade automation to scale database delivery Loading comments...

Redgate Software has launched a major update to its Flyway Enterprise database change control solution, introducing the MCP Server to support AI-driven workflows. The Cambridge-based company's new release addresses governance and compliance challenges as enterprises scale AI development. The MCP Server captures, validates, and audits AI-generated database changes, embedding compliance into workflows. Redgate is also integrating Flyway Enterprise with its Monitor observability solution to provide estate-wide visibility. CEO Jakub Lamik said organisations need strong foundations to pair with AI speed. Gartner projects 40% of enterprises will decommission autonomous AI agents by 2027 due to governance gaps exposed by production incidents. The release includes advanced Databricks capabilities, with Snowflake features and operational dashboards planned. The updates build on Redgate's 25-year database software heritage.

Redgate introduces database change control layer to support enterprises scaling AI. CAMBRIDGE, UK - July 21, 2026 - Today, Redgate Software announced the latest major release for Redgate Flyway Enterprise, an advanced database change control solution designed to future-proof software delivery from the risks of rapid AI-driven development. Rooted in Redgate's 25-year heritage of database software solutions, the new release introduces Flyway Enterprise MCP Server, a critical solution for teams bringing a governed, agentic approach to managing database change, and advanced Databricks capabilities, with advanced capabilities for Snowflake and operational and security dashboard views also on the roadmap. "AI is the biggest opportunity in a generation to accelerate software creation, and enterprise leaders want to seize it with confidence," said Jakub Lamik, CEO of Redgate. "The organizations that win will be the ones that pair AI speed with strong foundations. Redgate makes the database ready for that world. The significant investments in Redgate Flyway Enterprise mean IT leaders can embrace AI-generated code and agentic workflows at pace, secure in the knowledge that governance and compliance for the database is properly addressed." The Flyway Enterprise MCP Server is part of the broader platform of AI capabilities across Redgate's portfolio, giving enterprise leaders the confidence to scale agentic workflows and automate manual workloads safely. Every AI-driven change is captured, validated and auditable, so compliance is built into the workflow rather than bolted on afterwards. Redgate is also deepening visibility and connecting change control directly to estate-wide insight by integrating its flagship products, Redgate Flyway Enterprise and Redgate Monitor, an award-winning database observability solution. Without this visibility and governance, risk from AI-accelerated change will continue to escalate, and Gartner projects that by 2027, 40% of enterprises will decommission autonomous AI agents due to critical governance gaps exposed after costly production incidents occur. While generic AI tools treat the database like any ordinary deployment target, Redgate is developing AI that understands the database estate, anticipates failures, and enforces workflows before changes are made. In addition, new operational and security dashboard views will be delivered as part of Redgate's vision for database change control in an agentic era, providing leaders accountable for database estate health with the information they need to make fast, confident decisions as they deploy AI into their operations. Advanced capabilities for Snowflake are also part of that roadmap, extending Redgate's governed approach to schema change into the analytics estate as AI initiatives increasingly rely on it. The advanced Databricks capabilities, and upcoming Snowflake ones, extend that same discipline beyond transactional databases and into the analytics estate, where AI initiatives increasingly live, so the pipelines feeding models and dashboards are governed with the same rigor as production systems. A recognized leader in Database DevOps by G2, Redgate Flyway Enterprise provides version-controlled, automated, and deterministic changes to the database layer. The release also includes advanced Databricks capabilities, bringing governance to the engine room of modern analytics platforms. The solution targets the root causes of deployment failure: manual steps, environment inconsistency, and insufficient pre-deployment validation. This automation framework has driven a 58% to 98% reduction in change lead times and slashed operational support requests by 90%, for customers like Verizon Connect.