Skip to content
CMO & CTO
CMO & CTO

Closing the Bridge Between Marketing and Technology, By Luis Fernandez

  • Digital Experience
    • Experience Strategy
    • Experience-Driven Commerce
    • Multi-Channel Experience
    • Personalization & Targeting
    • SEO & Performance
    • User Journey & Behavior
  • Marketing Technologies
    • Analytics & Measurement
    • Content Management Systems
    • Customer Data Platforms
    • Digital Asset Management
    • Marketing Automation
    • MarTech Stack & Strategy
    • Technology Buying & ROI
  • Software Engineering
    • Software Engineering
    • Software Architecture
    • General Software
    • Development Practices
    • Productivity & Workflow
    • Code
    • Engineering Management
    • Business of Software
    • Code
    • Digital Transformation
    • Systems Thinking
    • Technical Implementation
  • About
CMO & CTO

Closing the Bridge Between Marketing and Technology, By Luis Fernandez

Oracle Buys MySQL: What Happens Next

Posted on January 3, 2009 By Luis Fernandez

Oracle buys MySQL. If that line made you sit a little straighter, you are not alone.
Everyone from scrappy founders to grizzled DBAs is asking the same thing right now. What happens next.

This move is not about a checkbox. It is Oracle putting a hand on the throttle of the most deployed open source database on the planet, the engine under countless blogs, shops, and SaaS backends. On paper the pitch is easy. Oracle knows databases, they already own InnoDB, and they can pour resources into testing, packaging, and support that a smaller shop could only dream of. The flip side is obvious too. Oracle also sells the database that MySQL displaced in many stacks, and nobody forgets that. If you run a LAMP stack and your growth curve just crossed the scary part, you want to know if licensing stays friendly, if the GPL stays clean, and if your path to scale is still cheap and fast. Oracle can keep the dual model, keep community builds free, and sell support and OEM agreements to folks who need paperwork and a phone number, and they can still change the mix in ways that nudge bigger accounts toward the flagship. Anyone who lived through the InnoDB purchase learned a quiet lesson. Ownership shapes roadmaps not only with code but with attention, and attention is the rarest currency in tech.

On the tech side the questions are sharper. MySQL just shipped 5.1 and 6.0 with Falcon has been sitting in a hard place, while the community is already tinkering with Drizzle for a slimmer future. Oracle knows optimizers, cost models, and life on big iron, and they also know the pain that comes with overcomplicated knobs. MySQL won because it was simple, fast at the common path, and easy to babysit at 3 a.m. after a bad deploy. If Oracle pushes MySQL toward heavy features like a full blown cost based optimizer that tries to outthink simple queries, we could trade predictability for magic that is hard to debug. If they focus on the boring wins, we get gold. Tighter replication with less drift, saner partitioning, a better query planner that does not surprise us, crash safe replication queues, visible instrumentation for the hot paths, predictable fsync behavior across filesystems, and a first party backup story that does not feel like a side project. The storage engine story is the other big rock. InnoDB is where the real data sits for most of us, NDB has its niche, and Falcon has been a promise with delays. Oracle owns the crown jewel already and can align MySQL and InnoDB in a way that cuts weird edges. The question is whether that alignment opens the door to better durability and throughput for everyone or whether it shifts focus away from engines that do not fit Oracle priorities. This is where community pressure matters because a healthy plugin API and a public roadmap keep choices alive.

What should practitioners do right now. First, breathe. The code you run today keeps running. The GPL v2 on the versions you ship today does not vanish because a logo changed. What you can control is your posture. Keep your schema honest with standard SQL where you can, reduce features that only exist in one engine unless they buy you clear wins, and document every quirk you rely on. If you are an OEM or you embed MySQL, do a quick pass on your commercial license and make sure you are not exposed to sudden pricing or auditing surprises, then get a calendar reminder to recheck in a quarter. If you are planning a big jump this quarter, consider a little hedge. Run a test cluster on PostgreSQL and see how your workloads feel, or evaluate Drizzle if your app is simple and you are thinking about ultra lean services. This is not about migrating tomorrow, it is about price discovery. Get two options that run your smoke tests so that you have leverage and knowledge when change comes. Level up your replication topology so you can drain a master without panic, put a read only flag in your app that actually works, and make a habit of testing restores from bare metal or bare VM to make sure backups are real. If your team is thin on DBA time, line up a support plan that includes emergency help, whether it is Oracle, a trusted consultancy, or a respected community shop. Also watch the signals that matter. Public bug tracker activity, cadence of point releases, clarity of deprecation notices, and whether engineers speak in public about roadmaps. These are early tells for whether MySQL stays a friendly workhorse or turns into a lure for upsell. Your job is not to predict the future but to narrow the blast radius of surprises.

There are some timeless lessons here. Corporate stewards change, and open source projects survive on three legs. License, community, and a viable business around the edges. Oracle can play this smart, keep MySQL thriving for the entry level and mid market, and collect revenue from support, tooling, and big accounts that do not want to run without a net. They can also make it weird by mixing signals, moving features behind paywalls, or letting community trust erode. If you are on the hook for uptime, you need simple rules. Own your data, keep your migration path warmed up, and invest in tests that beat on your database the way your users do, not the way a synthetic benchmark pretends they do. Do not jump at shadows and do not ignore smoke. Track practical metrics. Replication lag, deadlocks per hour, slow query counts, and the time it takes a new node to join the cluster. Trim query plans before you add hardware, because throwing memory at a bad query is how you end up crying on a weekend. Watch your ORM for sneaky N plus one patterns and make the hard call to put critical paths on hand tuned SQL. Get your app to tolerate writer failover without a page. That single change pays for itself in the first real incident. Make allies. Talk with your hosting provider or cloud vendor about IOPS realities, ask your legal team about redistribution rules if you ship software that includes MySQL, and stay close to engineers who work on the core. Everything feels calmer when you have names and channels to ask questions.

Whatever logo sits on the tarball next month, the smart move is the same as always, keep shipping while keeping doors open.

General Software Software Engineering

Post navigation

Previous post
Next post
  • Digital Experience (94)
    • Experience Strategy (19)
    • Experience-Driven Commerce (5)
    • Multi-Channel Experience (9)
    • Personalization & Targeting (21)
    • SEO & Performance (10)
  • Marketing Technologies (92)
    • Analytics & Measurement (14)
    • Content Management Systems (45)
    • Customer Data Platforms (4)
    • Digital Asset Management (8)
    • Marketing Automation (6)
    • MarTech Stack & Strategy (10)
    • Technology Buying & ROI (3)
  • Software Engineering (310)
    • Business of Software (20)
    • Code (30)
    • Development Practices (52)
    • Digital Transformation (21)
    • Engineering Management (25)
    • General Software (82)
    • Productivity & Workflow (30)
    • Software Architecture (85)
    • Technical Implementation (23)
  • 2025 (12)
  • 2024 (8)
  • 2023 (18)
  • 2022 (13)
  • 2021 (3)
  • 2020 (8)
  • 2019 (8)
  • 2018 (23)
  • 2017 (17)
  • 2016 (40)
  • 2015 (37)
  • 2014 (25)
  • 2013 (28)
  • 2012 (24)
  • 2011 (30)
  • 2010 (42)
  • 2009 (25)
  • 2008 (13)
  • 2007 (33)
  • 2006 (26)

Ab Testing Adobe Adobe Analytics Adobe Target AEM agile-methodologies Analytics architecture-patterns CDP CMS coding-practices content-marketing Content Supply Chain Conversion Optimization Core Web Vitals customer-education Customer Data Platform Customer Experience Customer Journey DAM Data Layer Data Unification documentation DXP Individualization java Martech metrics mobile-development Mobile First Multichannel Omnichannel Personalization product-strategy project-management Responsive Design Search Engine Optimization Segmentation seo spring Targeting Tracking user-experience User Journey web-development

©2025 CMO & CTO | WordPress Theme by SuperbThemes