You already know Spring Boot won. You knew it in 2023. You probably knew it in 2019. But "won" is doing a lot of work in that sentence, and if you're picking a framework for a new service this quarter, the interesting question isn't who's on top -- it's what's happening underneath.
Here's the number, since you'll want it: Spring Boot sits at roughly 14.7% usage across all web frameworks in the 2025 Stack Overflow Developer Survey, with a 53.7% admiration score. That admiration number matters more than the usage share. Plenty of tech gets used because it's already there -- legacy, momentum, whatever. Admiration means people who use it by choice would choose it again. Spring Boot clears both bars.
Why Spring Boot still eats the room
Largest ecosystem. Best docs. Most active community. Strongest cloud-native tooling. That's the case laid out by Rollbar's 2026 comparison, and none of it is controversial -- it's just true. If you're starting a new Java web project this year, you should probably just use Spring Boot. Not because it's exciting. Because it's the default for a reason, and the reason hasn't gone away.
What has changed is what's bolted on top of it. Spring AI shipped built-in support for wiring LLM calls, embeddings, and vector stores directly into the Spring context -- the same dependency-injection model you already use for a database connection now works for a model call. If you've been following our writing on local RAG pipelines with Ollama and pgvector, this is the same idea showing up inside the Spring ecosystem instead of a bespoke Python service. You don't need a separate microservice just to hit an embedding model anymore. That's a real shift in how enterprise Java teams are architecting AI features, and it's arguably the biggest thing that's happened to Spring in years -- not a new core feature, but a new category bolted onto the old core.
The specialists didn't go away -- they got sharper
Spring Boot winning the popularity contest doesn't mean the alternatives are dying. They're doing the opposite: getting more specific about what they're for.
Quarkus has matured into a serious cloud-native option, built around sub-second startup times. If you're running containers that scale to zero and back, or you're paying per cold start on a serverless platform, that number isn't a nice-to-have. It's the difference between a request timing out and a request succeeding.
Micronaut goes further in the same direction -- minimal memory footprint, tuned specifically for serverless, according to daily.dev's 2026 framework rundown. If your bill is dominated by memory-seconds rather than raw compute, that's the framework doing the actual cost optimization for you, not a config flag you have to hunt down.
Jakarta EE is still there for the standards crowd -- enterprise teams that need portability across app servers and vendors, where "we can swap providers if we need to" is a contractual requirement, not a preference.
And Vaadin sits in its own lane entirely: full-stack web development in pure Java, no separate frontend framework, no context-switching between Java on the backend and TypeScript on the frontend. That's a real productivity argument for teams where the whole stack is Java people, and hiring a dedicated frontend engineer isn't in the budget.
None of these are trying to dethrone Spring Boot. They're each solving a problem Spring Boot solves adequately but not optimally -- cold starts, memory, standards compliance, frontend duplication. That's a healthy ecosystem. A framework landscape where everything converges on one tool is usually a sign the tool is mediocre and nobody's built anything better yet. This is the opposite -- one dominant generalist, several sharp specialists, and clear reasons to pick each one.
What this means if you're actually shipping something
Don't pick a framework because it's the most popular. Pick it because your constraints match what it's optimized for.
If you're building a standard web service, internal tool, or API and you're not fighting cold-start latency or a tight memory budget, Spring Boot is the boring, correct choice. The ecosystem does the heavy lifting -- you'll find a library for whatever you're missing, and Stack Overflow already has the answer to whatever error you're staring at.
If you're deploying into a serverless or heavily containerized environment where startup time and memory directly hit your cloud bill, look hard at Quarkus or Micronaut before you default to Spring. The sub-second startup Quarkus is built around isn't marketing -- it's the actual mechanism that makes scale-to-zero economical instead of painful.
If you're locked into a regulated environment that demands vendor portability, Jakarta EE is your answer, and you probably already know that, because someone above you already told you.
And if your team is Java-only and you don't want to hire or maintain a separate frontend stack, Vaadin removes an entire category of coordination overhead -- no API contract negotiations between backend and frontend teams, because there's only one team.
The AI layer is the actual story for 2026
Strip away the framework names and the real headline is this: Java's AI tooling caught up. For a couple of years, if you wanted to build something with LLMs, you reached for Python almost by reflex -- the libraries were there, the Java equivalents weren't. Spring AI closes that gap inside the framework most Java developers already use daily. That matters more for adoption than any startup-time benchmark, because it removes the reason enterprise teams were quietly spinning up parallel Python services just to touch a model.
We've written before about how developer productivity tooling quietly evolved in 2026 -- less about flashy new tools, more about existing tools absorbing capabilities that used to require a separate stack. Spring AI is that pattern playing out inside Java specifically. The framework didn't get replaced. It got wider.
Where this leaves you
Spring Boot is still the default, and defaults win for good reasons -- ecosystem depth, hiring pool, documentation, the fact that any problem you hit has already been hit by ten thousand people before you. But "default" isn't the same as "only correct answer." If your constraints are cold starts, memory, standards compliance, or frontend duplication, one of the specialists will save you real engineering time that Spring Boot would cost you fighting the same problem with extra configuration.
Pick based on your constraints, not the leaderboard. The leaderboard tells you what most teams need. It doesn't tell you what yours does.
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